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A hostile relationship, a jealous lover and alleged poor policing are being blamed for the murder of Nikita Griffin, who was stabbed to death early yesterday at her Clifton Hill apartment, St Paul
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Settle copyright, accreditation issues once and for all
Once and for all, the National Carnival Commission (NCC) and the Ministry of Arts and Multiculturalism must step in and clarify the many confusing copyright and accreditation issues in Carnival. There are too many grey areas overshadowing how this country's biggest national festival should be documented, presented and protected and there is an urgent need for the roles of the various interest groups and agencies to be properly defined. The creative works of Carnival must be protected and monetised—there is no debate about that. But in the absence of proper management of the festival's intellectual property, several groups are fighting to assert their claims to revenue from Carnival, with threats of lawsuits and other actions increasing the event's bacchanal ratio unnecessarily.
This season's biggest rights confusion to date involves the National Carnival Bands Association (NCBA), which has reportedly told several professional photographers seeking accreditation to cover Carnival that they may not post images of masqueraders or mas events on social media because online publishing rights had been awarded to one photographic organisation.
Whether the NCBA has the right to determine if a photographer should be allowed to publish Carnival images on Facebook, Twitter or any other social media platform or Web site is the first point of contention.
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- 163Promote
Art Print
C'est La Vie IIby Christine Hall
Collect your choice of gallery quality Giclée, or fine art prints custom trimmed by hand in a variety of sizes with a white border for framing.
golds, bronze, creams, sparkles, ocean, water, sea, glitter, with typeography added to device products
Very nice work Christine!!
Thank you Greta!
Thank you Ammar!
Thanks Joke!
Simple and refreshing - lovely piece Christine :)
awww - so sparkly! love it!
love the sparkle and mood.
beautiful christine!
beautiful christine!
Very pretty!
wonderful, love the water sparkles!
Thanks so much everyone! :)
Oh wow. Beautiful!
que c'est beau..que c'est beau
wonderful christine
So gorgeous-love it :)!!
Absolutely stunning!
Hi Christine-- Beautiful stuff! Any possible way you can send me a link so I can get free shipping from your store? Pretty please...
Thank you!
Thank you!
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Wesco Numbers Giant MatItem # HN-WESC191
- Handmade from acrylic
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Collegebooksdirect Reviews and Ratings
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Pineandlakes Echo Journal
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Dan-ecdotes: The highs and lows of owning a cat, continued
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March 25, 2015
Letters to the Editor: Corporate greed or malfeasance or both?
Last week, Target Corporation fired 1,700 employees in order to save $2 billion over the short term. As a businessman, I understand limiting costs. I don't honestly think this is what is happening here and in other corporations that are cutting jobs. Target is a very profitable company...
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March 25, 2015 - 2:54pm
Letters to the Editor:Teacher tenure
Every biennium, it seems, for more years than I've been alive, slick salesmen present their new cure-all solution for our ailing public schools. This time the Republican-led Minnesota House promises to save us.
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March 25, 2015 - 2:45pm
Letters to the Editor: A look at our problems
U.S. Rep. Rick Nolan mentioned greed as one of the greater problems facing the country, speaking at the League of Women Voters in Brainerd on March 12. Rep. Nolan discussed that success and opportunity weren't undesirable, and that he's not against those things. It caused me to...
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March 25, 2015 - 2:41pm
Letters to the Editor: Cass Sheriff's Department thanked
About a month ago someone broke into my place. The stole many things, including my four-wheeler. It just happens that two days later a resident of Ponto Lake saw a person on a four-wheeler by a cabin. Knowing that no one is at the cabin during the winter, they called the Cass County...
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March 25, 2015 - 2:39pm
Letters to the Editor: Don't miss PLCT play
My husband and I just saw a wonderful comedy mystery, "The Game's Afoot," or "Holmes for the Holidays," written by Ken Ludwig and produced by the Pequot Lakes Community Theatre. You won't want to miss this very funny production directed by Michael Sander, featuring several local...
opinion / letters to the editor
March 25, 2015 - 2:08pm
Letters to the Editor: Thiede responds to Dispatch story, editorial
Wow! Thiede should know better! I give a very measured statement about a chamber event, read so that clarity was insured. The reporter asks a sidebar question, and you run a story. Now you think you can accuse me of going public with secondhand information and it is bad form? Since...
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March 25, 2015 - 12:08pm
March 13, 2015
Letters to the Editor: Blind support is appalling
The FCC recently issued new rules for regulating the Internet often called net neutrality. The idea is to keep things "fair" - a favorite word of the left wing Democrats.
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March 13, 2015 - 12:22pm
March 12, 2015
Letters to the Editor: To The Editor
Christians are being beheaded, crucified, and stoned to death in Syria, Iraq, and Africa. This is something that has been going on for years. The only reason we are hearing about it now is because ISIS is bringing it into the open and the Media is reporting on it. The United States...
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March 12, 2015 - 11:09am
March 5, 2015
Letters to the Editor: Jenkins should agree to Highway 371 upgrade
How the Jenkins City Council can even contemplate standing in the way of the highway improvement from Pequot to Jenkins is incomprehensible. Anyone who regularly drives this stretch, especially in the tourist season, has seen the accidents, the damaged guardrails, especially on the...
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March 5, 2015 - 2:16pm
Letters to the Editor: Mock trial team appreciates PAC donation
Dear PAC, The Pequot Lakes High School mock trial team would like to thank you for your generous donation that will support us as we advance to the state tournament. We are all very excited to have made it this far into the season and look forward to topping off the year with more...
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March 5, 2015 - 1:58pm
Letters to the Editor: Climate change reconsidered
I've got a couple more things to say about man made global warming and then I'll shut up (maybe). Sen. Jim Inhofe, Oklahoma's senator and chairman of the Senate's Committee on Environment and Public Works, denounced man made global warming from the Senate floor a few days ago and...
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March 5, 2015 - 10:48am
March 4, 2015
Letters to the Editor: Wasting energy, resources
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March 4, 2015 - 4:07pm
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March 4, 2015 - 11:30am
Letters to the Editor: Impeach Obama
I would like to compliment Phil Drietz, Joe Lanz and others who have spoken out publicly stating the "nonsense" of global warming from CO2. Supporters of global warming theories have often stated 90 percent or more of our weather scientists tell us CO2 is causing our planet to warm...
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March 4, 2015 - 11:28am
Letters to the Editor: Thank you, blood donors, for gift of life
Thanks to the citizens of Pequot Lakes and the surrounding communities for making the Red Cross Blood Drive at the Pequot Lakes American Legion another huge success. The blood drive on Feb. 18 had a very good turnout and collected 92 units of blood during the six-hour drive. This...
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Not much boot space in there: The Stig fills Lamborghini with copies of his book after shopping trip to Tesco
He spends most of his days performing stunts on Top Gear alongside celebrity contestants.
But taking a break from the race track, The Stig was pictured on Wednesday afternoon as he made a quick stop at Tesco Extra in Watford.
Keeping his identity hidden as always, the anonymous driver was seen picking up several copies of his book, entitled The Stig: The Untold Story.
Happy shopper: On Wednesday The Stig paid a visit to Tesco Extra in Watford
You'll need a bigger boot! The stunt driver purchased several copies of his book and was seen loading them into his Lamborghini
Dressed in the usual white Alpinestars racing suit, Diamondback race helmet, black on white Alpinestars Tech 1-ZX gloves, and white Alpinestars Tech 1-T racing shoes, he wasted no time filling his trolley with copies of the autobiography.
Before proceeding to the checkout, the stunt driver caused a little bit of havoc in store and torn down posters emblazoned with his face.
After leaving the supermarket, The Stig headed to the car park to load his red Lamborghini.
Causing chaos: The Top Gear star was seen ripping down posters of himself at his book stand
'I'll take them all!': As the stuntman caused havoc members of the public watched on
Business as usual: The Stig wore his white Alpinestars racing suit, Diamondback race helmet, black on white Alpinestars Tech 1-ZX gloves, and white Alpinestars Tech 1-T racing shoes
Drawing attention to himself as he tried to fill his luxury car members of the public were seen capturing images of him on their mobile phones.
The book which was written by Simon du Beaumarche features interviews from those closest to The Stig including Jeremy Clarkson, Richard Hammond and James May.
It was recently revealed that Ben Collins, who notoriously unmasked himself as The Stig in 2010, had made peace with his former Top Gear buddies.
Supermarket sweep: The anonymous character loaded his trolley with copies of The Stig: The Untold Story
Say hello to my little friend: A little shopper looked intrigued as he caught sight of the race driver
To the checkout! Having filled his trolley to the brim The Stig headed to the counter to pay
Talking to the Express, Ben said: 'There's so much comedy in the press around Jeremy because he always incites controversy.
'The great thing with Top Gear is that it's irreverent and they do get away with speaking their minds and most of the time that's a good thing.'
He continued: 'I don't read too much into it and at the end of the day I'm glad I've made my peace with Top Gear.'
Home bound: The book which was written by Simon du Beaumarche features interviews from Jeremy Clarkson, Richard Hammond and James May
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If u r building website with jQuery, it's common if the browser auto scroll to top when user click on anchor element. This happen to me many times and i always forget how to disable the auto scrolling. Thus this post is being created for my own reference and for other developer
To disable autoscrolling to top when user click on anchor element, follow the steps below:
- In the same page, copy and paste this script within your script tag
123$(document).ready(function() {$('body').on('click', '[href^=#]', function (e) { e.preventDefault() });});
- Now refresh you page and you may try to click on anchor element and the autoscrolling should be stop by now
Happy coding!
Related posts:
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Cyclist seriously injured after crashing into runner during Greenwich Park race
A cyclist was rushed to hospital with a serious head injury after she crashed into a runner in Greenwich Park while a racing event was taking place.
The Edward Snowden saga risks overshadowing the plight of the original anti-secrecy fugitive Julian Assange. But fans of the WikiLeaks founder, fear not, for there is one accolade Snowden can't claim — his own cocktail.
28 June 2013
Rebecca Seal's quest for the best
28 June 2013
Dozens of bars and clubs in the West End have been warned over the dangers of using liquid nitrogen and dry ice to serve food and drink at Halloween.
30 October 2012
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Dane County Clerk Scott McDonell called Van Hollen's comments "ridiculous", saying prosecuting any clerk would be "over the line".
Westbound Interstate 39/90 in Janesville has been closed since 2 a.m. Friday due to a chemical spill that has sent the Madison Fire Department hazmat team into action.
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Notable names on Twitter -- including celebrities, athletes and politicians -- are pushing back against an Indiana law that allows businesses to refuse service gay people on religious grounds. Click on to see who's making social media waves.
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A method detects events in multimedia. Features are extracted from the multimedia. The features are sampled using a sliding window to obtain samples. A context model is constructed for each sample. The context models form a time series. An affinity matrix is determined from the time series models and a commutative distance metric between each pair of context models. A second generalized eigenvector is determined for the affinity matrix, and the samples are then clustered into events according to the second generalized eigenvector.
1. A computer-implemented method for detecting events in multimedia, comprising the steps of:
extracting features from the multimedia;
sampling the features using a sliding window to obtain a plurality of samples;
constructing a context model for each sample;
determining an affinity matrix from the models and a commutative distance metric between each possible pair of context models;
determining a second generalized eigenvector for the affinity matrix;
clustering the plurality of samples into events according to the second generalized eigenvector; and
generating a summary of the multimedia according to the events.
2. The method of
3. The method of
labeling the features with labels.
4. The method of
5. The method of
6. The method of
7. The method of
8. The method of
9. The method of
10. The method of
summarizing the multimedia according to the ranked events.
11. The method of
12. The method of
13. The method of
14. The method of
15. The method of
16. The method of
17. The method of
This Patent application is a continuation-in-part of U.S. patent application Ser. No. 10/840,824, �Multimedia Event Detection and Summarization,� filed on May 7, 2004 by Radhakrishnan et al.
This invention relates generally to analyzing multimedia, and more particularly to identifying features associated with usual events in the multimedia.
Most prior art methods for summarizing multimedia content have focused on detecting known patterns of events in the content to provide a summary of the content. As a result, the patterns of events that are useful for summarizing are limited to particular known genres of multimedia. It is also well known how to extract the patterns using supervised statistical learning tools.
For the genre of news videos, detection of �story� boundaries, by closed caption text, speech transcript analysis, and speaker-based segmentation have been shown to be useful, Rainer, �Automatic text recognition for video indexing,� Proc. ACM Multimedia, 1996, and Hsu et al., �A statistical framework for fusing mid-level perceptual features in news story segmentation,� Proc. of ICME, 2003.
For the genre of situation comedies, detection of physical settings using mosaic representation of a scene, and detection of leading cast characters using audio-visual cues have been shown to be useful, Aner et al., �Video summaries through mosaic-based shot and scene clustering,� Proc. European Conference on Computer Vision, 2002, and Li, �Content-based video analysis, indexing and representation using multimodal information,� Ph.D Thesis, University of Southern California, 2003.
For sports video summarization, some methods detect domain-specific events that are correlated with highlights using audio-visual cues, Pan et al., �Detection of slow-motion replay segments in sports video for highlights generation,� Proc. IEEE International Conf. on Acoustics, Speech and Signal Processing, 2001, and Xu et al., �Creating audio keywords for event detection in soccer video,� Proc. of ICME, 2003. Another method extracts play-break segments in an unsupervised manner, Xie et al., �Unsupervised mining of statistical temporal structures in video,� Video Mining, Rosenfeld et al. Eds, Kluwer Academic Publishers, 2003.
For movie content, detection of syntactic structures, such as scenes with only two speakers, and the detection of �unusual� events, such as explosions have been shown to be useful, Sundaram et al., �Determining computable scenes in films and their structures using audio-visual memory models,� ACM Multimedia, 2000.
For surveillance content, detection of �unusual� events using object segmentation and tracking from video has been shown to be effective, Wu et al., �Multi-camera spatio-temporal fusion and biased sequence data learning for security surveillance,� ACM Multimedia, 2003.
The following U.S. Patents and Patent Applications also describe methods for extracting features and detecting events in multimedia, and summarizing multimedia, U.S. patent application Ser. No. 09/518,937, �Method for Ordering Data Structures in Multimedia,� filed Mar. 6, 2000 by Divakaran, et al., U.S. patent application Ser. No. 09/610,763, �Extraction of Semantic and Higher Level Features from Low-Level Features of Multimedia Content,� filed on Jul. 6, 2000, by Divakaran, et al., U.S. Pat. No. 6,697,523, �Video Summarization Using Motion and Color Descriptors,� issued to Divakaran on Feb. 24, 2004, U.S. patent application Ser. No. 09/845,009, �Method for Summarizing a Video Using Motion Descriptors,� filed on Apr. 27, 2001 by Divakaran, et al., U.S. patent application Ser. No. 10/610,467, �Method for Detecting Short Term Unusual Events in Videos,� filed by Divakaran, et al. on Jun. 30, 2003, and U.S. patent application Ser. No. 10/729,164, �Audio-visual Highlights Detection Using Hidden Markov Models,� filed by Divakaran, et al. on Dec. 5, 2003. All of the above are incorporated herein by reference.
Even though it is known how to detect specific events for some specific genres of multimedia, a generalized detection task remains a problem due to intra-genre variations as a result of differing multimedia production styles used by different content providers, and other factors. For instance, events in surveillance videos can never be anticipated. Otherwise surveillance videos would not be necessary. Thus, it is impossible to construct supervised models for event detection for many genres of videos.
An additional problem is to identify specific features in the content that are associated with specific events. For example, identifying which types of visual and audio cues are available in the content to assist the task of event detection.
Clearly, there is a need for a method that can identify features that are associated with events.
Following are some of the desired requirements for multimedia summarization and event detection.
First and foremost, the method should be content-adaptive and unsupervised. Second, the method should have a common feature extraction and statistical analysis framework to discover patterns of events. Then, the same feature extraction process can be used as a front-end for all genres of multimedia, and the same post-processing stage can act upon discovered patterns to identify events, even if the meaning of what is unusual changes depending on the genre of the multimedia. The method should also incorporate a ranking scheme for detected events so that an appropriate summary can be determined.
The present invention detects temporal patterns of events in multimedia content independent of the genre. The invention uses a unified, content-adaptive, unsupervised learning framework to bring out such temporal patterns from different genres of multimedia.
The method formulates the problem of pattern detection as a time series clustering problem. Sequences of audio and visual features are extracted from the multimedia. The features are treated as time series. The time series data are represented by models, using a windowing process. The modeled time series are used to construct an affinity matrix. An eigenvector analysis and clustering of the eigenvectors leads to a detection of unusual events.
For each detected outliers, a confidence measure is defined in terms of a probability. A relationship is established between learning parameters and the confidence measure using bootstrapping and kernel density estimation. Thereby, the invention enables a systematic method to select the learning parameters for any genre of multimedia. In addition, the method identifies specific features that are most likely associated with unusual events.
Our invention is based on the observation that foreground �unusual� events in multimedia, e.g., a video, occur sparsely among a background of �usual� events. Some examples of unusual events include the following. In a sports program, most of the audio portion of the program is dominated by play commentary. However, occasionally, a burst of overwhelming audience reaction, e.g., cheering, clapping, and waving, follows the relatively rare scoring events. In a situation comedy program, a burst of laughter typically follows a comical event, among a background of mundane dialogue. In a surveillance video, a burst of motion or loud noise follows a suspicious event in a mostly silent or static background.
This motivates us to formulate the problem of detecting unusual events in multimedia as that of detecting �outliers�. We model statistically a mostly stationary background process in terms of audio and visual features extracted from the multimedia, even though the background process is stationary only for small periods of time, and can change over time. This implies that background modeling is performed adaptively throughout the temporally evolving content. This also implies that the modeling can be sufficient to deal with one background process at a time to detect the outliers.
A dominant or �usual� class of events in multimedia can be represented by C1. These usual events can be thought of as a background process in the multimedia. An �unusual� class of events in the multimedia can be represented by C2. These unusual events can be thought of as a foreground process.
If a sequence of features is extracted for the two the classes of events (C1 and C2) in the temporal multimedia corresponds to
To begin with, the statistics of the usual events of class C1 are assumed to be stationary, at least with respect to the time periods of infrequent unusual events. However, there is no such assumption about the unusual events of class C2. The class C2 events can even be a collection of a diverse set of random processes. The only requirement is that the number of occurrences of unusual events C2 is relatively small compared to the much larger number of occurrences of the dominant class of usual events C1.
Note that this formulation is a special case of a more general problem, namely clustering of a time series in which a single highly dominant process does not necessarily exist.
We treat the sequence of features extracted from the video as a time series and perform a temporal segmentation of the time series to detect transition points and outliers from the extracted features.
Segmentation Using Eigenvector Analysis of an Affinity Matrix
Segmentation using eigenvector analysis has been described for a static image, Shi et al., �Normalized cuts and image segmentation,� Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 1997. That segmentation is related to graph theoretic formulation of grouping. A set of points in an arbitrary feature space V is represented as a weighted undirected graph, where each node of the graph is a point in a feature space, and an edge is formed between every pair of nodes. A weight on an edge expresses a similarity of the pair of nodes. The similarity between nodes i and j can be represented by the weight w(i, j) on the edge.
In order to understand a partitioning criterion for the graph, consider partitioning the graph into two clusters A and B, such that A∪B=V, where V is the entire feature space, then
Shi et al. describe how minimizing Ncut, minimizes a similarity between clusters, while maximizing the association within individual clusters. Shi et al. also describe that
This generalized eigenvalue system is solved by first transforming the system into a standard eigenvalue system by substituting z=D1/2y to obtain
It can be verified that the first eigenvector z0=D1/2{right arrow over (1)} is a trivial solution for this eigenvalue system, with an eigenvalue equal to 0.
However, the second generalized eigenvector z1, which is the smallest non-trivial solution of this eigenvalue system, provides the desired segmentation that optimizes Ncut for two clusters.
Given n random samples x1, x2, . . . , xn of d-dimensional vectors from some unknown density function (f) and a kernel (K), an estimate for a true density can be obtained as:
The bias is proportional to h2 and the variance is proportional to n−1h−d, Wand et al., Kernel Smoothing, London, Chapman & Hall, 1995. Thus, for a fixed bandwidth estimator, one selects a value of the bandwidth parameter h that achieves an optimal tradeoff. We use a data driven bandwidth selection process for the estimation, generally described by Sheather et al., �A reliable data-based bandwidth selection method for kernel density estimation,� J. R. Statist. Society, 1991.
Unusual Event Detection
As shown in
In a preliminary step, features ( . . . A . . . Z . . . ) 102 are extracted 105 from multimedia 101. The extracted features 102 are labeled using a set S of discrete labels, i.e., an alphabet of C1 and C2 is the set
Alternatively, the labels can be continuous. The features 102 are treated as a time series that define the underlying multimedia content 101 for the purpose of our event detection.
It should be noted that multiple synchronized time series can be used, for example, one series indicates nothing but audio volume, while another series distinguishes speech, music, silence, and non-speech. Speech can further be classified as female or male speech. Sound classifications can also be a mixture of audio signals, for example, simultaneous cheering and speech, or simultaneous applause and speech, or simultaneous applause and cheering and excited, high-pitch, loud speech. These time series can be used in conjunction with other time series for the video portion. Visual time series can include dominant color and level of motion as features.
For an audio portion of the multimedia, audio features can include pitch, amplitude, Mel frequency cepstral coefficients (MFCC), speech, music, or speech and music. For a video portion, the features can include color, motion, texture, etc. The features can include MPEG-7 descriptors, if the video is compressed. As an advantage, these features are present in almost any genre of multimedia.
The time series of features 102 are sampled 110 as multiple (N) �samples� 113. The sampling uses a sliding window 111 of length WL, and a step size WS 112 applied to the time series data. For example, the window is eight seconds, and every step moves the window forward four seconds. These parameters can be specified in terms of labels, frames, or time. In the preferred embodiment of the invention, the sampling is uniform. For each step, the sample in the window defines a �context� of the multimedia.
A context model 121 is constructed 120 for each of the N samples 113 or �context�. The modeling can use discrete or continuous statistical functions. The models 121 are, of course, also time series.
An N�N symmetric affinity matrix W 131 is determined 130 for the entire time series using the context models 121, and a commutative distance metric d 122 measured between all possible pairs of context models. The affinity matrix 131 represents a graph where each node is one of the models 121, and a weight on an edge connecting two nodes is
The second generalized eigenvector z1 141 is determined 140 for the affinity matrix 131. The second generalized eigenvector is then used to cluster 150 the distances related to events 151. Events that are �outliers� are considered unusual, and these can be ranked. The eigenvector can be determined by a decomposition of the affinity matrix using, e.g., singular value decomposition or principal component analysis.
The ranked events 151 can be used to summarize 160 the content of multimedia 101 as an abstract or summary 161.
Affinity Matrix
The detected outliers yield a coarse segmentation of the entire video into two clusters: the segments that represent the background program or usual events, and the segments that represent the foreground commercials or unusual events. Such a coarse segmentation is possible because we use a time series of medium level features, e.g., speech and non-speech, instead of low-level features such as volume. The use of low-level audio features brings out some fine scale changes that are not relevant for distinguishing program segments from non-program segments. For instance, low-level features can distinguish two different speakers in the content, while a more general speech label groups the features as one speaker.
A hierarchical clustering, according to the invention, is described below. The hierarchical clustering eliminates fine scale changes.
In the method 100 according to our invention, the following issues are considered: the statistical models 121 for the context, the choice of the two parameters, WL and WS, and the features to be extracted.
A simple unconditional probability distribution function (PDF) suffices as the context model in the case of a memoryless background process. However, if the background process has some memory, the selected model would have to account for the background process. For instance, a hidden Markov model can provide a first order approximation of the background process.
The choice of the two parameters (WL and WS) can be determined by a confidence measure that indicates whether a particular event is �unusual�. A length of the sampling window WL determines a reliability of the statistical model for the context within the window. The size of the step WS, determines a resolution at which the unusual events are detected.
Confidence Measure on Detected Unusual Events
In our method 100, we first estimate parameters of the background process from the samples within the window of length WL. Then, we measure how different a particular model is from other context models. The difference is caused either by the samples from C2 within the window WL, or by a variance of the estimate of the background model. If the difference between two context models is �substantially higher than allowed� by the variance of the estimate itself, then we are �substantially confident� that the variance is due to the �corruption� of one of the contexts with samples from unusual events C2.
In the following, we quantify �substantially higher than allowed�, and �substantially confident�, in terms the window length WL.
Confidence Measure for Binomial and Multinomial PDF Models
For the background process to be modeled by a binomial or multinomial PDF, the features 102 have discrete labels S={A, B, C, D, E, . . . }, as shown in
An unbiased estimator for a probability of the label A is represented by {circumflex over (p)}A. The value {circumflex over (p)}A is a binomial random variable that can be approximated by a Gaussian random variable with mean pA and a variance
As described above, we are interested in knowing the confidence interval of the random variable d, which measures the difference between two estimates of context models. For mathematical tractability, let us consider the Euclidean distance metric between two PDFs, even though the metric is only a monotonic approximation to a rigorous measure such as the Kullback-Leibler distance
Here, {circumflex over (p)}i,1 and {circumflex over (p)}i,2 represent estimates for the probability of the ith label from two different contexts of length WL. Because the estimates {circumflex over (p)}i,1 and {circumflex over (p)}i,2 are both Gaussian random variables, d is a χ2 random variable with n degrees of the freedom, where n is a cardinality of the set S.
Now, we assert, with substantial probability
To verify the above analysis, the following simulation can be performed. We generate two contexts of length WL from a known binomial or multinomial PDF, assumed to be a background process as defined above. The models estimated from these two contexts are represented by M1 and M2, respectively. Then, we use �bootstrapping� and kernel density estimation to verify the analysis on PDF of d as described below:
Feature Identification
The above clustering technique can also be used to systematically gain domain knowledge. This makes feature selection systematic instead of ad-hoc. For example, we use the audio portion of a sports video. We extract spectral or cepstral features from the audio portion and treat the features as a time series, as described above.
Using the time series clustering framework, we obtain distinguishable clusters for the selected features. That is, each cluster is a particular class of sound, e.g., cheering, speech, excited speech and cheering, cheering and applause, or just applause alone. Then, by examining the individual clusters, we identify consistent patterns in the features that correspond to unusual events, and build supervised statistical learning models based on the identified features. For example, we demonstrate that the class �excited speech and cheering� is a better indicator for an unusual event in a sports video than just the class �cheering�. Therefore, better results can be obtained by selecting the class �excited speech and cheering� for the training data.
The second generalized eigenvector of the affinity matrix for the example sports video shows �applause� outliers 301 at times of occurrences of video segments including applause. Furthermore, there are distinct clusters for the segments corresponding to speech features 302, from, obviously, different speakers. We consider these clusters to be irrelevant for the purpose of detecting unusual events. Hence, the clusters 302 should be grouped under a single label by training a speech Gaussian mixture model (GMM) using training data collected from different speakers.
Such an analysis brings out the interaction between different clusters of features and enables the selection of relevant features or that can help detect unusual events.
After target feature classes have been selected, we can use GMMs to parameterize a distribution of features. We describe a theory behind minimum description length Gaussian mixture models (MDL-GMMs), which is one way to determine the number of mixture components for GMMs.
Minimum Descriptor Length GMM
The parameters of the MDL-GMMs are obtained by minimizing Rissanen's objective function. This objective function is a trade-off between model complexity and goodness of fit of the model to the samples. For audio classification based unusual event detection, MDL-GMMs outperform GMMs with an arbitrary number of features, i.e., audio mixture components. Therefore, we use MDL-GMMs for modeling a distribution of features of the unusual audio class.
An objective function for obtaining an optimal number of mixture components and model parameters is derived as follows. Let Ybe an M-dimensional random vector to be modeled using a Gaussian mixture distribution. Let K denote the number of Gaussian mixtures. We use the notation π, μ, and R to denote respective parameter sets {πk}, {μk}, and {Rk}, for k=1 to K, for mixture coefficients, means and variances. A complete set of parameters is given by K, and θ=(π, μ, R). A log of the probability of the entire sequence Y={Yn}N n=1 is
The objective is to estimate the parameters K and θ∈Ω(K). A maximum likelihood (ML) estimate is given by
Confidence Measure for GMM & HMM Models
If the samples of the memoryless background process are continuous labels, instead of discrete labels, then one can use continuous labels and model the PDF of the process using a Gaussian mixture model (GMM). If the process has first order memory, then one can model its first-order PDF using a hidden Markov model (HMM).
Let λ=(A, B, π) represent the model parameters for both the HMM and GMM, where A is a state transition matrix, B is a sample label probability distribution, and π is an initial state distribution. For the GMM, A and π are equal to 1, and B represents the mixture model for the distribution. For the HMM with continuous samples, B is a mixture model in each of the states. For the HMM with discrete labels as samples, B is a multinomial PDF in each of the states.
Even when two context models 121 have different parameters, the models can be statistically equivalent. Hence, the following commutative distance metric d is used to compare two context models λ1 and λ2 constructed from sample sequences or samples O1 and O2, respectively,
The first two terms in the distance metric measure the likelihood of training data given the estimated models. The last two cross terms measure the likelihood of observing O under λ1, and vice versa. If the two models are different, then the cross terms are substantially smaller than the first two terms. The defined distance metric d does not lend itself to a similar analysis, as in the case of binomial and multinomial models that can help us find its PDF. Hence, we apply bootstrapping to obtain several observations of the distance metric and use kernel density estimation to obtain the PDF of the defined distance metric. In the Figures of the affinity graphs, the distances d are indicated as color intensities, i.e., darker colors are for larger distance, and white indicates a zero distance, such as along the diagonal.
Note that the support of the PDF decreases as WL increases from, e.g., 100 frames to 600 frames. The reliability of two context models for the same background process increases as the amount of training data increases, and hence, the variance of normalized log likelihood difference decreases. Therefore, it is possible to quantify any log likelihood difference value caused by corruption of observations from another process, e.g., the foreground process (C2). Similar analysis shows the same observations hold for HMMs as context models as well.
Using Confidence Measures to Rank Outliers
Above, we describe the estimation of the PDF of a specific distance metric for context models, e.g., memoryless models and HMMs, used by our method. Then, for a given time series of samples for C1 and C2, we determine the affinity matrix for a selected window length of WL for the context model.
We use the second generalized eigenvector z1 to detect inliers and outliers. Then, the confidence metric for an outlier context model, Mj is determined as:
If the density estimate obtained, either through bootstrapping and kernel density estimation or through a similar analysis as for binomial and multinomial cases, has finite support, then some of the outliers, which are very distinct from the inliers and cannot be ranked as Pd,i(d≦d(Mi, Mj))d, are equal to one. In such cases, the distance itself can be used to rank the outliers.
The order of ranking is not affected by the use of d(Mi, Mj), instead of Pd(d≦d(Mi, Mj)) because the cumulative distribution function (CDF) is a monotonically increasing function. However, the use of d(Mi, Mj) can make it more difficult to merge ranked lists as the meaning of d(Mi, Mj) is dependent on the background.
Identifying Features
In order to identify useful features for detecting unusual events, we perform a hierarchical clustering by using a normalized cut on the affinity matrix. The affinity matrix is a representation of the similarities between every pair of nodes in a graph where each node represents a context model and the edge connecting any two nodes in the graph is weighted by the similarity between them. Normalized cuts provide optimal solutions for the partitioning of this graph that emphasize cluster dissimilarity while maintaining intra-cluster similarity.
As shown in
The spectral clustering, as described above, then can be applied again to the resulting affinity graphs 421 and 422 associated with each child node resulting in a next generation affinity matrix 431.
This process reveals the features as shown in
The cluster of unusual events 522 in the graph 520 turns out to represent the �highlights� of the sports video. The identification of the significant features of these events, as described above, yields sufficient information to be used as training data for detecting unusual events in a particular genre of multimedia. We train a Gaussian mixture model, using the minimum description length principle, to model the distribution of low-level cepstral features in the �highlight� class. We can then use the aforementioned GMM to classify the sports video into �highlight� and �non-highlight� segments.
As shown in
The dashed curve 810 in
Now that we have a �highlight� class that gives us a superior precision-recall performance, we can interpret the meaning of the MDL-GMM of this class by inferring what each mixture component of the GMM is modeling for the given training data set. Towards that end, we look at the MDL-GMM learned from the training data for the �highlight� class.
The MDL solution for the number of components in the GMM for the �highlight� audio class data set is four. In order to interpret each of these four mixture components, we need to assign every frame of audio in the training data set to one of the mixture components. Then, by listening to all the frames that belong to a particular mixture component one can interpret what sound class is being modeled by that mixture component.
In order to assign every audio frame to a mixture component, we extract the feature (yn) from which the GMM was learned. Given an input feature vector, yn, a K component GMM, and learned parameters, μ, we determine a probability that a mixture component k, generated the feature yn by using Bayes' rule:
Then, we assign the feature yn to the mixture component for which the posterior probability (p(k/yn, θ)) is a maximum. After we collect all the audio frames corresponding to each of the mixture components, we interpret the semantic meaning of every component by listening to the sounds that are being modeled by each mixture component.
Thus, we infer the mixture component for the �highlight� audio class using the MDL-GMM. We find that one of the components predominantly represents the excited speech of the commentator and another component represents the cheering of the audience. This is evidence that the key �highlight� class is a mixture of audience cheering and the commentator's excited speech. In addition, our method reveals that when there is only cheering from the audience, it is less likely due to an unusual event. In other words, a video segment is classified as a highlight only if both the audience and the commentator are excited. Such a result is intuitively satisfying.
Application to Sports Video
As described above, �unusual� events in sports video happen occasionally among a background of the usual process. In a golf game, the usual process is the commentator's speech in a quiet background. In a soccer game, the usual process is the commentator's speech in a relatively noisy background. But, in order to extract unusual program segments, e.g., commercials, from the whole video, we use our method at a coarser scale as described below, based on the observation that commercials are �unusual� in the background of the whole program.
Event Detection Using One-Second-Level Labels
Because our method assumes that the background process is relatively stationary, our first step is to cluster the time series from the whole sports video to identify contiguous sections of the time series that have the same background.
Detecting Unusual Events
Unusual events, together with an audience reaction, in a sports video typically last for only few seconds. This implies that we cannot use second-level classification labels to extract short unusual events. If we use second-level classification labels, the size of WL has to be small enough to detect events at that resolution. However, our analysis on the confidence measures above, indicates that a small value of WL, lead to a less reliable context model.
Therefore, we have at least the following two options: process the time series using frame-level classification labels, instead of medium-level labels, or process the time series using low-level MFCC features. Clearly, using the frame-level classification labels is computationally more efficient. Also, as described above, working with labels can suppress irrelevant changes in the background process, such as different speakers.
Application to Surveillance Video
In the case of a sports video, we can use some a priori knowledge about the application domain to train sound classes such as applause, cheering, etc., to extract additional time series apart from the time series of low-level features.
In a surveillance video, the type of sounds that can characterize unusual events cannot always be anticipated. However, our method provides a systematic methodology to acquire domain knowledge to identify �distinguishable� classes of sounds. Without any apriori knowledge, we use low-level features in such scenarios to effectively characterize the domain and detect events.
Overview of Invention
As shown in
In any case, the time series data is used to construct 1020 an affinity matrix 1002. The affinity matrix is clustered hierarchically 1030 using the partitioning process 1003 as described above to identify 1040 features 1004 associated with unusual events.
We collect training data 1005 for the identified features, and use the training data to train 1050 model a MDL-GMM 1006. The MDL-GMM is used to construct 1060 a summary of the highlights in the example multimedia 1011.
We interpreted the semantic meaning of each of the mixture components of the learned GMM to find out that the �highlight� class models the selected feature. Using the selected features, we reduce the number of unusual events that would otherwise be classified as false positives.
Although the invention has been described by way of examples of preferred embodiments, it is to be understood that various other adaptations and modifications may be made within the spirit and scope of the invention. Therefore, it is the object of the appended claims to cover all such variations and modifications as come within the true spirit and scope of the invention.
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Wednesday, April 1, 2015
With Lunar New Year occurring in February, bringing with it fewer working days in the month, industrial production, foreign orders and growth of imports all declined compared with January, according to a report released by Taiwan Institute of Economic Research (TIER) yesterday.
Taiwan shares closed up 64.57 points, or 0.67 percent, at 9,586.44 on Tuesday on turnover of NT$105.35 billion (US$3.37 billion).
Taiwan's Asustek Computer Inc. (華碩)has launched its second-generation ZenFone in Paris, marking the European debut for the low-cost smartphone range.
Taiwan's Asustek Computer Inc. (華碩)has launched its second-generation ZenFone in Paris, marking the European debut for the low-cost smartphone range.
A European brokerage has downgraded its rating for Taiwanese chip designer MediaTek Inc. (聯發科) from "outperform" to "neutral," citing fierce 3G competition and the company's heavy investment to strengthen its 4G chip portfolio.
Tuesday, March 31, 2015
The recent reports that Apple Inc. is facing major issues with the production of its smartwatch may affect the share price of Taiwanese contract electronics maker Quanta Computer Inc. (廣達), according to a European brokerage.
Taiwan Semiconductor Manufacturing Co. (TSMC, 台積電), the world's largest contract chip-maker, last week suffered the largest foreign institutional net sell among the stocks listed on the main board, the Taiwan Stock Exchange (TWSE, 證交所) said Monday.
Taiwan's manufacturing turnover rose by an annual 3.5 percent in 2014 to the highest annual level ever, but investment in fixed assets dropped 0.8 percent, according to statistics published on Monday by the Ministry of Economic Affairs (MOEA).
Opposition lawmakers yesterday said President Ma Ying-jeou made a unilateral decision to promote Taiwan's entry to the Beijing-led Asian Infrastructure Investment Bank (AIIB).
Shares in Taiwan staged a mild technical rebound Monday after Wall Street stopped a four-session losing streak at the end of last week, dealers said.


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Video: Foo Fighters Counter-Protest Westboro Baptist Church
Video: Foo Fighters Counter-Protest Westboro Baptist Church
If you were the Foo Fighters, and found out your concert in Kansas City, Missouri was going to be protested by Westboro Baptist Church -- presumably for just having some innocent fun in the shower to promote your tour -- what would you do?
The easy answer is just to be the bigger man... er, men... and ignore the WBC protesters, putting on an amazing show in spite of the sad, sad people outside holding "God Hates Foos" (citation needed) signs.
OR you could dress up in full trucker garb, pull a parade float up in front of the protesters and sing "Keep It Clean" as a friendly counter-protest song, much to the ire of those holding picket signs.
Guess which one they did?
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April 23, 2012 at 11:02pm
that's great!
The best handling of religious protesters by a rock band that I've seen since the footage in Pantera's Vulgar Video of the protesters at their hotel room door while they were in The Bible Belt.
September 19, 2011 at 2:24pm
props to them. nothing better than pissing off the ppl who are trying to piss u off. hahaha, not a fan but this was awesome
2 hours 4 sec ago
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May 2015 Guitar World: Joan Jett, Judas Priest, How to Play Rock and Roll Guitar, Ian Anderson and More4 hours 22 min ago
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Town Square
Shots Fired Last Night in OMV
Original post made by Bruno, Old Mountain View, on Apr 22, 2009
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Mountain View Voice Staff Writer
on Apr 22, 2009 at 3:59 pm
Casey Weiss is a registered user.
Police say they had multiple calls ealy this morning, reporting gun shots heard in both North Whisman and Old Mountain View. They responded to the calls, but found nothing.
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Continuation of Office Cap Discussion
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Easter blessings from UCAN
Dear Reader,
There is no more important week in the year for Christians than this Holy Week. We call it Holy because of the mystery we celebrate - God's gift of His son who loves us to his death on Calvary and beyond.
Because of that love, we wish each other Happy Easter even when we know there is a lot of tragedy about it - Good Friday. As Christians, we know that what we see happening with and in Jesus goes to the heart of what we know from our own experience of life.
At the Second Vatican Council, the Christian lives we all lead were described as being shares in the Paschal Mystery. We have our share in the death and resurrection of Jesus every day. Our lives are part of the Paschal Mystery.
At UCAN, we work to describe that mystery in the unfolding tragedies and astonishing blessings of the people we seek out and report, feature and comment on.
While at times deeply distressing work, this effort of ours gets its coherence in the same way the death of Jesus did - because of the astonishing grace of a God who never gives up on life and love.
Because of that, we can wish you Happy Easter.
Best Wishes,
Fr. Michael Kelly SJ
Executive Director
Caritas wins fishermenŌĆÖs release
Church efforts succeed in freeing men attacked by pirates and held by IndiaSri Lankan boats in a harbor
- ucanews.com reporter, Beruwala
- Sri Lanka
- June 16, 2011
"The authorities would have struggled to get the fishermen back had it not been for Caritas representatives in both┬ĀSri Lanka┬Āand┬ĀIndia," said S. P. Anthonimuthu, coordinator of Caritas Sri Lanka.
The four fishermen were among a crew of six who were attacked by Somali pirates in the Indian Ocean in November last year. ┬ĀThe pirates abducted two of the crew ŌĆō who were later released and returned to Sri Lanka -- and forced the other four to help them attack an oil tanker using their fishing boat.
After the tanker was taken the four crewmen were held for ransom but after Caritas appealed for their release they were taken back out to sea and freed by the pirates.
They were later picked up by Indian coast guards and taken to Minicoy Island on December 3, where they remained in custody as a result of what they call bureaucratic inactivity.
National director Father George Sigamoney and other Caritas officials however worked through diplomatic channels during that time to win the fishermenŌĆÖs release.
For the┬Ālast six months weŌĆÖve written hundreds of letters and made thousands of telephone calls, to try and win their freedom, Anthonimuthu said.
The four fishermen, who arrived home later on Tuesday, said if it had not been for Caritas their hopes of getting back home may not have been realized.
ŌĆ£We are indebted to Caritas for bringing us back,ŌĆØ said Ruwan T. Fernando, 31, after returning to his hometown of Beruwala.
He criticized the government for ŌĆ£not tryingŌĆØ to speed up their return.
"Two of our colleagues captured by the┬ĀSomali pirates┬Āwere able to return home earlier than us,ŌĆØ he said.
ŌĆ£We were not fishing illegally. We are innocent fishermen.┬ĀIt wouldnŌĆÖt have been difficult to get us back. Instead the government let us languish for six months,ŌĆØ he complained.
Related report
Caritas aids imprisoned fishermen


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Weldon attacks lucky crystals, low birth rates and the abuse of women's power
Saturday 22 August 1998
She said it was time to stop blaming men for unequal pay, and to recognise that women chose to forgo career advancement to stay at home with their babies.
The novelist ensured that she would further outrage feminist ideologists, who have already castigated her for suggesting that the legal system should reflect that there are "varying degrees of rape".
Yesterday she went considerably further in her argument for a redefinition of feminist values. Delivering the Scotsman Millennium Lecture at the Edinburgh Book Festival, she said that sexism now flowed two ways - "something we find difficult to admit.
"Evidence of continuing male prejudice against women comes from the fact that the female wage is persistently lower than the male wage; though in Britain the gap is smaller than in the rest of Europe," she said.
"But it is not for the most part the villainy and prejudice of men that leads to this undoubtedly inequity: it is the fact that the majority of women end up with children.
"Even when partnered, many back off when the time comes for promotion, deciding that time for a personal and emotional life is more valuable than promotion. The part-time nurse does not take the job as full-time ward sister, the TV researcher turns down the job as producer, because when would they ever get to see the kids?"
Ms Weldon said that instead of struggling for equal wages "we would be better occupied turning men into resident and supporting fathers, instead of dismissing them from the case and saying `Which way to the sperm bank?', or `How dare you treat me like this?', or `Oh, I can manage alone and anyway there's always the CSA, not to mention benefits'."
Society, she said, had to accept men were parents too. "On the day when the problem of the working father is talked about as often as is the problem of the working mother we will be getting somewhere. All children have two parents, though you'd never think it."
Ms Weldon devoted some of the hour-long lecture to warning of the dangers of the way women were using their growing sexual power. She said: "Today's young woman does the sexual picking and choosing: she has the power to reject and uses it no better than the young man ever did. Women discover the gender triumphalism that once was the male preserve.
"See it in the ads. One for Peugeot at the moment: a brisk, beautiful powerful young woman, followed by her droopy husband. She is saying to the salesman, `It moves faster and it drinks less. Can they do the same for husbands?' Try role-reversing that one!
"Does it matter? I suspect it does - it deprives men of their dignity: we all grow into what we are expected to be: this is the process of socialisation. Once women were indeed the little squeaking helpless domestic creatures the culture expected them to be. If we expect men to be laddish and appalling that is how they will turn out."
Ms Weldon made a prediction guaranteed to fuel angry debate among feminists: the lifestyle of the lone emancipated woman was bad news for the future of Britain, she warned.
She said: "The world has changed, the laws have changed, she [the new woman] is out into the world. She may be lonely at night sometimes but she has her freedom and her financial independence, she can earn, she can spend, she can party. She can chose her sexual partners, but is not likely to stick with them: somehow she outranks them.
"She knows well enough that if she has a baby all this will end. And so, increasingly she chooses not to. The fertility rate, 3.5 in 1901, is now down to 1.8 and falling, below replacement level. Which may be OK for the future of the universe but isn't good news for the nation. We lose our brightest and best."
As the anniversary of the death of Diana, Princess of Wales approaches, Ms Weldon bewailed the results of the feminisation of Britain's cultural and social attitudes.
She said: "It is my belief that the bearded Patriarch finally slid out the Great West Door of the Abbey and took to his heels on the day of Diana's funeral whilst Elton John was singing `Candle in the Wind'.
"Now the all-embracing Matriarch takes his place. This is the age of empathy: we are crushed under the excess weight of it. How superstitious we have become. Not a newspaper without its horoscope, we study feng-shui, wear lucky crystals round our necks - even those of us who appear to be most rational."
Politics too had been feminised, with New Labour speaking in the "traditional female language of caring and feeling apology and sentiment".
Therapists and counsellors have taken the place of the old Patriarchal priesthood. "They are the new hardeners, forgiving our sins for the payment of money, releasing us from personal guilt. Seek the authenticity of your own feelings they cry. Go it alone! You know you can! Assert yourself, your right to dignity, to personal fulfilment! Never settle for second best. And of course they are right, except, in the face of such stirring advice, and because in the new Garden of Eden men and women can, when once men and women couldn't, marriages and relationships crumble and collapse."
The World
Of Weldon
"It's all right being a woman these days - but it must be terrible being a man. They're quite right to be frightened and defensive."
"It is very unfashionable to say this, but (rape) isn't the worst thing that can happen to a woman - if you're safe, alive and unmarked after the event."
On being subject to an attempted rape when she was a young woman: "It was nasty, but it didn't shatter my view of men. The man in the taxi simply wanted sex."
"Sexual harassment is another peculiar area that fails to separate the unpleasant use of power to obtain sexual favours, from misconstrued signals."
"I would strenuously advise ... against having children. As soon as you have a baby, you've had it."
On New Labour - "Just a lot of people in love with Tony Blair".
"(Feminism's) gone too far. Now women diminish men in the way that men used to diminish women."
How she would word a lonely hearts ad: "Hopeless female requires not quite so hopeless male."
"Outside London, even moderately educated people have the pace and schedule of their lives dictated by Radio 4."
Has she abandoned the sisterhood? "I can't have, because I was never there. There is no headquarters, you know."
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text:
Journal: released PaleoHack 0.02 this week
Journal by i0lanthe
and lo, there were many bug fixes
We've improved Slashdot's video section; now you can view our video interviews, product close-ups and site visits with all the usual Slashdot options to comment, share, etc. No more walled garden! It's a work in progress -- we hope you'll check it out (Learn more about the recent updates).
and lo, there were many bug fixes
How long has this been around without me knowing about it?
Hokey religions and ancient weapons are no substitute for a good blaster at your side. - Han Solo


text:
Mar 20, 2014; Newark, NJ, USA; Minnesota Wild left wing Zach Parise (11) celebrates with teammates after scoring a goal against the New Jersey Devils during the third period at the Prudential Center. The Devils won 4-3 in overtime. Mandatory Credit: Adam Hunger-USA TODAY Sports
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text: B2B Branding: Why Invest in It, How to Measure It, and What the Pros Do Right Published on November 01, 2012. 0 Reprints Reprints Ad Age LookBook Weekly Feature An Ad Tech Glossary: Must-Know Terms, If You're Looking for An Ad-Tech Partner Learn more Today's B2B marketers are realizing the importance of building their brand across every online marketing channel, from email and display advertising to search and social media. In a 2012 BtoB magazine survey, 91% of marketers said they were currently making an effort to increase the value of their brand online. In this article: BtoB Advertisement Read These Next L'Oreal USA Launches Review of $2.3 Billion Media Account Jack Neff on 04.01.2015 65 0 McDonald's Plans to Boost Employee Pay, Offer Vacation Time on 04.01.2015 61 1 AT&T Names Lori Lee From Video Entertainment and Broadband Unit Its New CMO Mark Bergen on 04.01.2015 19 0 Comments (0)


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The new J4500 coach's safety features include three-point passenger seat belts, Electronic Stability Control, a fire suppression system and air-pressure tire monitoring. The company added optional 110-volt power outlets at every seat.
Founded 35 years ago by George Pullman and Robert W. Myhre, International Stage Lines has relied on MCI coach models since day one.
Today, the company operates a fleet of 39 MCI coaches and employs a staff of more than 85 people in offices and maintenance facilities in Richmond. The company transports more than a million passengers a year, specializing in group tours, schools and corporate.
RELATED: "5 Questions: MCI's Patrick Scully."
The groups urged planners to add parking near the National Mall for the millions of people who will visit by bus and car over the next several months, kicking off with the National Cherry Blossom Festival.
In their meetings, UMA members shared information about their own businesses and rallied for backing of three critical needs: opposition of FMCSA's proposal to raise the Federal financial responsibility limits, support of Rep. Barletta's proposal to remove CSA scores from public view until the data used to calculate the score can be improved, and support to preserve the current charter service rule.
David Cooper of Pacific Coachways Trailways in Garden Grove, Calif., was presented by Bob Crescenzo, VP, safety & loss control, at Lancer Insurance, the awards event sponsor.
State police said the driver did not speak or understand English and did not know he was supposed to stop in Richmond, Va. The driver was reportedly dragged out of his chair, while the bus was swerving in and out of lanes for a half mile or so.
Suzanne Te Beau Rohde will succeed ABA's sr. VP, Government Affairs and Policy, Clyde Hart, who is retiring after 14 years.
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Wednesday, 29 Jan 2014 06:15 PM
Rob Ford is being sued by his sister's former common-law husband who is alleging the Toronto mayor arranged to have him beaten to keep him quiet about Ford's drug use, it was reported Wednesday.
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MacIntyre's leg was reportedly broken and his teeth knocked out in the melee.
He alleges Ford mistook comments in a letter he'd written to his sister Kathy as a threat "to disclose Ford's drug and alcohol abuse and association with criminals."
The suit alleges he responded by sending MacIntyre "a firm message to prevent him from doing so."
The mayor's lawyer, Dennis Morris, confirmed the allegations to reporters but declined to comment further, except to say MacIntyre was in prison at the time for having threatened the mayor.
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Revis Cleared for Practice, Status for Miami still Unclear
Posted by Erik Manassy on Sep 20, 2012 in Main, News, Twitter | 0 comments
Good news Jets fans, it looks as there is a good possibility that Darrelle Revis will play against the Miami Dolphins this Sunday after being out since week 1 with a concussion.
The question is, do we really need him so he can rest and be 100%?
|MMehtaNYDN Rex still leans on trainers and doctors before saying that Revis will play. Revis did pass all tests with doctors. Seems like he will play 9/20/12 11:45 AM
Jets cornerback Darrelle Revis (concussion) was cleared by the medical staff and a neurologist outside the organization to resume contact drills in practice, Rex Ryan said today. Revis will go through a full practice for the first time since sustaining the head injury against the Bills.
Ryan said he was hopeful about Revis' status for Sunday but has to wait until the final word from team neurologists.
|JohnGeiger_ #revisisland 9/9/12 1:16 PM
Jets cornerback Darrelle Revis has been cleared for contact and, barring a setback, he is expected to play Sunday at Miami.
— Adam Schefter (@AdamSchefter) September 20, 2012
Will Miami #Dolphins receivers visit Revis Island? sun-sentinel.com/sports/miami-d…
— Omar Kelly (@OmarKelly) September 20, 2012
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Todd Bowles Talks Defense, Revis and the SecondaryOn the seccond day of the NFL's annual meeting, the New York Jets made new head coach Todd Bowles available to the media. View the tweets and pictures of Bowles from today! Read Full Post »
Woody Johnson Quotes on TwitterThe New York Jets have boosted up their defensive line by signing Kevin Vickerson. The announcement was made via Kevin's instagram account which is private. Someone took a screen shot of the post and leaked it on the web. Read Full Post »
Kevin Vickerson Announced he's a Jet on Instagram (his post)The New York Jets have boosted up their defensive line by signing Kevin Vickerson. The announcement was made via Kevin's instagram account which is private. Someone took a screen shot of the post and leaked it on the web. Read Full Post »
Former Jet Santonio Holmes is Baffled He's JoblessSantonio Holmes, in an interview with SI (Click to watch), is BAFFLED that he is jobless. That baffles me that he has no clue why he's not on a team. Read Full Post »
New Jets CB Buster Skrine Selects his Jersey NumberFind out why Skrine decided to leave his old 21, and 22 behind and picked something completely different. Read Full Post »
Episode 223: The Fireman Ed InterviewErik and Lon break down the Jets moves thus far, and joining them is special guest Fireman Ed Anzalone where he talks about the latest news with him. Read Full Post »
Kenrick Ellis Says Farewell to Jets Fans on InstagramJets lose Kenrick Ellis who is Signing with the New York Giants today. Read Full Post »
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text:
Tennis legend Boris Becker arrives at the luxurious Adriatic resort of Sveti Stefan on July 10, 2014. Serbian tennis star Novak Djokovic and his longtime girlfriend Jelena Ristic wed on July 10, 2014 in a gazebo civil ceremony on a lawn at a posh Adriatic resort. The event, held in a park above a beach close to the luxury Montenegro islet Sveti Stefan, was attended by "the families, close friends and some hundred guests," said a source close to the families who requested anonymity. AFP PHOTO / SAVO PRELEVICSAVO PRELEVIC/AFP/Getty Images ORIG FILE ID: 531542381
9-year old aces center ice goal contest like it's no big deal
Karleigh Nalette banked it in from center ice as if she'd done it a million times before.
MLB Players Association calls Kris Bryant's demotion 'a bad day for baseball'
But the Cubs did nothing wrong.
84-year-old woman drains putt on 'The Price Is Right' to win a new car
84-year-old The Price Is Right contestant Margaret had two chances to sink a putt from less than 10 feet to win a new car worth (…)
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UFC women's bantamweight champion Ronda Rousey delivered one of the highlights of WrestleMania 31 Sunday when she joined the Rock and (…)
Legendary NCAA broadcaster Bill Raftery is also an 'after-hours' legend
"Let's say over the years, I've had legs."
NFL linebacker joins Boston Red Sox one day after he's cut by Buccaneers
Brandon Magee was selected in the 2008, 2011 and 2012 MLB drafts.
Arizona coach Sean Miller tells upset fans to go root for Arizona State
Sean Miller's Arizona Wildcats have won an astounding 74 games over the last two seasons, but Arizona's season came (…)


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text:
Airfares predicted to drop 10 to 20 percent next month.
Air travelers, rejoice: Relief from soaring airfares may be just around the corner, at least temporarily.
For travelers, it can't happen soon enough. In the first three months of the year, the average domestic airfare in the U.S. climbed to $373, up 4.8 percent from the same period last year, according to the U.S. Transportation Department.
That was on top of an 8.3 percent increase in fares in 2011 and another 8.3 percent increase in 2010, according to statistics from the agency.
But air travelers should get a break next month, when airfares are expected to drop 10 percent to 20 percent.
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That is the prediction from Rick Seaney, chief executive of travel website FareCompare. He said the price drop should affect flights starting around Aug. 21, with the start of the slow fall travel season.
In late August, children start to head back to school as summer vacations end, prompting many airlines to drop their "peak travel season" surcharges, he said.
For example, a round-trip ticket between San Diego and Providence, R.I., sells for about $380 if the flight is in mid-August but drops to $222 if the flight is in September, according to data from FareCompare. A round-trip ticket between Washington and San Francisco sells for about $255 for a mid-August flight but $208 for a September flight, the website said.
"Demand appears to be slightly down this summer from what had been expected," Seaney said. "And the airlines are not pushing their luck with further price increase attempts — at least for now."


text:
Ozzie Guillen joins "the twitter"
Feb 24, 2010, 8:20 AM EDT
The world changed in a very important way last night at around 9PM. How? Ozzie Guillen's Twitter account went live. The highlights so far:
3 day of Spring Training and im already boreddddddd
going to eat in half hour why dye no have a job ?
Thanks a lot for the support i like it the twitter…..
Iam tired from bad very bad golf
10 15 pm going to sleep big day tomorrow bbque at my house after practice yessssss
The immediacy of Twitter can be dangerous enough for people who usually think about what they say before they say it. A guy like Guillen who (a) has absolutely no filter between his mind and his mouth; and (b) is frequently bored, is going to set the thing on fire.
- Matt - Feb 24, 2010 at 8:48 AM
And how did someone not come up with a fake Ozzie twitter before this? Disappointing.
- Jack Meoffer - Feb 24, 2010 at 9:24 AM
Is he going to tweet about his communist buddy Hugo ? As long as he is friends with a person who takes any business or building he wants, closes media stations that won't air his propoganda, than Ozzie should keep his opinions to himself. He should first tweet what a tyrant is "friend" is before anything else.
- Curious George - Feb 24, 2010 at 9:39 AM
Ozzie puts the twit in twitter.
- Phil - Feb 24, 2010 at 9:39 AM
Shouldn't the headline read Ozzie Guillen owns "the twitter" because you know he will.
- cowdisciple - Feb 24, 2010 at 9:43 AM
This is the most exciting baseball news of the last week.
- Ryan - Feb 24, 2010 at 11:24 AM
Oh man, this is great – can you guys just setup a widget on the HBT main page that constantly updates with his tweets? For those of us who refuse to use twitter. That would be awesome.
- monkeyball - Feb 24, 2010 at 12:25 PM
C'mon, Craig — how could you miss this headline opportunity?
"Ozzie Guillen's cat's breath smells like cat food."
- TR! - Feb 24, 2010 at 12:33 PM
Really can you quote one time where Ozzie has said he agrees with anything Chavez has done? Get your facts straight…
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