I. FIELD OF THE INVENTION 
       [0001]    The application relates generally to deep context photograph searching. 
       II. BACKGROUND OF THE INVENTION 
       [0002]    A computer ecosystem, or digital ecosystem, is an adaptive and distributed socio-technical system that is characterized by its sustainability, self-organization, and scalability. Inspired by environmental ecosystems, which consist of biotic and abiotic components that interact through nutrient cycles and energy flows, complete computer ecosystems consist of hardware, software, and services that in some cases may be provided by one company, such as Sony. The goal of each computer ecosystem is to provide consumers with everything that may be desired, at least in part services and/or software that may be exchanged via the Internet. Moreover, interconnectedness and sharing among elements of an ecosystem, such as applications within a computing cloud, provides consumers with increased capability to organize and access data and presents itself as the future characteristic of efficient integrative ecosystems. 
         [0003]    Two general types of computer ecosystems exist: vertical and horizontal computer ecosystems. In the vertical approach, virtually all aspects of the ecosystem are owned and controlled by one company, and are specifically designed to seamlessly interact with one another. Horizontal ecosystems, one the other hand, integrate aspects such as hardware and software that are created by other entities into one unified ecosystem. The horizontal approach allows for greater variety of input from consumers and manufactures, increasing the capacity for novel innovations and adaptations to changing demands. 
       SUMMARY OF THE INVENTION 
       [0004]    An example ecosystem that is pertinent here is an entertainment ecosystem in the home that includes a primary display, potentially controlled by a controller such as a personal computer (PC) or game console, which contains a potentially large number of digital photos that a user may wish to search. As understood herein, while users can categorize photos and on that basis search for them, there are often deeper potential links between photos that may be exploited to better return photo search results to a user. 
         [0005]    Accordingly, a computer device includes at least one computer readable storage medium bearing instructions executable by a processor, and at least one processor configured for accessing the computer readable storage medium to execute the instructions to configure the processor for accessing at least one database containing plural image files. The instructions when executed by the processor configure the processor for, using image recognition on objects in the image files, correlating at least a first subset of the image files to at least a first aspect. The instructions when executed by the processor further configure the processor for, using metadata associated with the image files, correlating at least a second subset of the image files to at least a second aspect. The instructions when executed by the processor still further configure the processor for, responsive to a determination that the first aspect conforms to at least one user action, returning at least some of the image files in the first subset, and responsive to a determination that the second aspect matches at least one user action, returning at least some of the image files in the second subset. The user action may be a query for images or it may not be a query at all and may be, for instance, causing an image to be presented on the display for more than a threshold period, with the image then being analyzed and matched to aspects in respective subsets to determine which subset to return as a “smart” search. 
         [0006]    In some examples, the image files include photograph files. In some examples, the image files include video files. 
         [0007]    In example embodiments, the first aspect is containing at least first and second recognized people. The first aspect may be containing at least a predetermined pixilation indicating a first geographic location genus. The second aspect can be at least a first common location or a first common date. 
         [0008]    If desired, the instructions when executed by the processor configure the processor for correlating at least a first subset of the image files with each other as being related in at least a first aspect only responsive to a determination that a number of images related to each other in the first aspect exceed a threshold. Similarly, if desired, the instructions when executed by the processor configure the processor for correlating at least a second subset of the image files with each other as being related in at least a second aspect only responsive to a determination that a number of images related to each other in the second aspect exceed a threshold. 
         [0009]    In another aspect, a computer device includes at least one computer readable storage medium bearing instructions executable by a processor, and at least one processor configured for accessing the computer readable storage medium to execute the instructions to configure the processor for accessing at least one database containing plural image files. The instructions when executed by the processor configure the processor for, using image recognition on objects in the image files, correlating at least a first subset of the image files with each other as being related in at least a first aspect, and responsive to at least one user activity on the device that is not a query for image files, returning at least some of the image files in the first subset. 
         [0010]    In another aspect, a computer device includes at least one computer readable storage medium bearing instructions executable by a processor, and at least one processor configured for accessing the computer readable storage medium to execute the instructions to configure the processor for receiving a user query for image files. The query contains at least a first term, and the instructions when executed by the processor configure the processor for, responsive to the query, returning at least one image file associated with the first term, correlating the first term to at least a second term not contained in the query, and responsive to the query, returning at least one image file associated with the second term. 
         [0011]    The details of the present invention, both as to its structure and operation, can be best understood in reference to the accompanying drawings, in which like reference numerals refer to like parts, and in which: 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0012]      FIG. 1  is a block diagram of an example system including an example in accordance with present principles; 
           [0013]      FIGS. 2-4  are flow charts of example logic according to present principles; 
           [0014]      FIG. 5  is a schematic diagram illustrating examples according to present principles; and 
           [0015]      FIG. 6  is flow chart of additional example logic. 
       
    
    
     DETAILED DESCRIPTION 
       [0016]    This disclosure relates generally to computer ecosystems including aspects of consumer electronics (CE) device based user information in computer ecosystems. A system herein may include server and client components, connected over a network such that data may be exchanged between the client and server components. The client components may include one or more computing devices including portable televisions (e.g. smart TVs, Internet-enabled TVs), portable computers such as laptops and tablet computers, and other mobile devices including smart phones and additional examples discussed below. These client devices may operate with a variety of operating environments. For example, some of the client computers may employ, as examples, operating systems from Microsoft, or a Unix operating system, or operating systems produced by Apple Computer or Google. These operating environments may be used to execute one or more browsing programs, such as a browser made by Microsoft or Google or Mozilla or other browser program that can access web applications hosted by the Internet servers discussed below. 
         [0017]    Servers may include one or more processors executing instructions that configure the servers to receive and transmit data over a network such as the Internet. Or, a client and server can be connected over a local intranet or a virtual private network. A server or controller may be instantiated by a game console such as a Sony Playstation (trademarked), a personal computer, etc. Photographs and videos may be stored on any of these. 
         [0018]    Information such as photographs and videos may be exchanged over a network between the clients and servers. To this end and for security, servers and/or clients can include firewalls, load balancers, temporary storages, and proxies, and other network infrastructure for reliability and security. One or more servers may form an apparatus that implement methods of providing a secure community such as an online social website to network members. 
         [0019]    As used herein, instructions refer to computer-implemented steps for processing information in the system. Instructions can be implemented in software, firmware or hardware and include any type of programmed step undertaken by components of the system. 
         [0020]    A processor may be any conventional general purpose single- or multi-chip processor that can execute logic by means of various lines such as address lines, data lines, and control lines and registers and shift registers. 
         [0021]    Software modules described by way of the flow charts and user interfaces herein can include various sub-routines, procedures, etc. Without limiting the disclosure, logic stated to be executed by a particular module can be redistributed to other software modules and/or combined together in a single module and/or made available in a shareable library. 
         [0022]    Present principles described herein can be implemented as hardware, software, firmware, or combinations thereof; hence, illustrative components, blocks, modules, circuits, and steps are set forth in terms of their functionality. 
         [0023]    Further to what has been alluded to above, logical blocks, modules, and circuits described below can be implemented or performed with a general purpose processor, a digital signal processor (DSP), a field programmable gate array (FPGA) or other programmable logic device such as an application specific integrated circuit (ASIC), discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A processor can be implemented by a controller or state machine or a combination of computing devices. 
         [0024]    The functions and methods described below, when implemented in software, can be written in an appropriate language such as but not limited to C# or C++, and can be stored on or transmitted through a computer-readable storage medium such as a random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), compact disk read-only memory (CD-ROM) or other optical disk storage such as digital versatile disc (DVD), magnetic disk storage or other magnetic storage devices including removable thumb drives, etc. A connection may establish a computer-readable medium. Such connections can include, as examples, hard-wired cables including fiber optics and coaxial wires and digital subscriber line (DSL) and twisted pair wires. Such connections may include wireless communication connections including infrared and radio. 
         [0025]    Components included in one embodiment can be used in other embodiments in any appropriate combination. For example, any of the various components described herein and/or depicted in the Figures may be combined, interchanged or excluded from other embodiments. 
         [0026]    “A system having at least one of A, B, and C” (likewise “a system having at least one of A, B, or C” and “a system having at least one of A, B, C”) includes systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc. 
         [0027]    Now specifically referring to  FIG. 1 , an example ecosystem  10  is shown, which may include one or more of the example devices mentioned above and described further below in accordance with present principles. The first of the example devices included in the system  10  is an example primary display device, and in the embodiment shown is an audio video display device (AVDD)  12  such as but not limited to an Internet-enabled TV. Thus, the AVDD  12  alternatively may be an appliance or household item, e.g. computerized Internet enabled refrigerator, washer, or dryer. The AVDD  12  alternatively may also be a computerized Internet enabled (“smart”) telephone, a tablet computer, a notebook computer, a wearable computerized device such as e.g. computerized Internet-enabled watch, a computerized Internet-enabled bracelet, other computerized Internet-enabled devices, a computerized Internet-enabled music player, computerized Internet-enabled head phones, a computerized Internet-enabled implantable device such as an implantable skin device, etc. Regardless, it is to be understood that the AVDD  12  is configured to undertake present principles (e.g. communicate with other CE devices to undertake present principles, execute the logic described herein, and perform any other functions and/or operations described herein). 
         [0028]    Accordingly, to undertake such principles the AVDD  12  can be established by some or all of the components shown in  FIG. 1 . For example, the AVDD  12  can include one or more displays  14  that may be implemented by a high definition or ultra-high definition “4K” or higher flat screen and that may be touch-enabled for receiving user input signals via touches on the display. The AVDD  12  may include one or more speakers  16  for outputting audio in accordance with present principles, and at least one additional input device  18  such as e.g. an audio receiver/microphone for e.g. entering audible commands to the AVDD  12  to control the AVDD  12 . The example AVDD  12  may also include one or more network interfaces  20  for communication over at least one network  22  such as the Internet, an WAN, an LAN, etc. under control of one or more processors  24 . Thus, the interface  20  may be, without limitation, a Wi-Fi transceiver, which is an example of a wireless computer network interface. It is to be understood that the processor  24  controls the AVDD  12  to undertake present principles, including the other elements of the AVDD  12  described herein such as e.g. controlling the display  14  to present images thereon and receiving input therefrom. Furthermore, note the network interface  20  may be, e.g., a wired or wireless modem or router, or other appropriate interface such as, e.g., a wireless telephony transceiver, or Wi-Fi transceiver as mentioned above, etc. 
         [0029]    In addition to the foregoing, the AVDD  12  may also include one or more input ports  26  such as, e.g., a high definition multimedia interface (HDMI) port or a USB port to physically connect (e.g. using a wired connection) to another CE device and/or a headphone port to connect headphones to the AVDD  12  for presentation of audio from the AVDD  12  to a user through the headphones. The AVDD  12  may further include one or more tangible computer readable storage medium  28  such as disk-based or solid state storage, in some cases embodied in the chassis of the AVDD as standalone devices or as a personal video recording device (PVR) or video disk player either internal or external to the chassis of the AVDD for playing back AV programs. Also in some embodiments, the AVDD  12  can include a position or location receiver such as but not limited to a cellphone receiver, GPS receiver and/or altimeter  30  that is configured to e.g. receive geographic position information from at least one satellite or cellphone tower and provide the information to the processor  24  and/or determine an altitude at which the AVDD  12  is disposed in conjunction with the processor  24 . However, it is to be understood that that another suitable position receiver other than a cellphone receiver, GPS receiver and/or altimeter may be used in accordance with present principles to e.g. determine the location of the AVDD  12  in e.g. all three dimensions. 
         [0030]    Continuing the description of the AVDD  12 , in some embodiments the AVDD  12  may include one or more cameras  32  that may be, e.g., a thermal imaging camera, a digital camera such as a webcam, and/or a camera integrated into the AVDD  12  and controllable by the processor  24  to gather pictures/images and/or video in accordance with present principles. Also included on the AVDD  12  may be a Bluetooth transceiver  34  and other Near Field Communication (NFC) element  36  for communication with other devices using Bluetooth and/or NFC technology, respectively. An example NFC element can be a radio frequency identification (RFID) element. 
         [0031]    Further still, the AVDD  12  may include one or more auxiliary sensors  37  (e.g., a motion sensor such as an accelerometer, gyroscope, cyclometer, or a magnetic sensor, an infrared (IR) sensor, an optical sensor, a speed and/or cadence sensor, a gesture sensor (e.g. for sensing gesture command), etc.) providing input to the processor  24 . The AVDD  12  may include still other sensors such as e.g. one or more climate sensors  38  (e.g. barometers, humidity sensors, wind sensors, light sensors, temperature sensors, etc.) and/or one or more biometric sensors  40  providing input to the processor  24 . In addition to the foregoing, it is noted that the AVDD  12  may also include an infrared (IR) transmitter and/or IR receiver and/or IR transceiver  42  such as an IR data association (IRDA) device. A battery (not shown) may be provided for powering the AVDD  12 . 
         [0032]    Still referring to  FIG. 1 , in addition to the AVDD  12 , the system  10  may include one or more other CE device types. In one example, a first CE device  44  may be used to control the display via commands sent through the below-described server while a second CE device  46  may include similar components as the first CE device  44  and hence will not be discussed in detail. In the example shown, only two CE devices  44 ,  46  are shown, it being understood that fewer or greater devices may be used. 
         [0033]    In the example shown, to illustrate present principles all three devices  12 ,  44 ,  46  are assumed to be members of an entertainment network in, e.g., a home, or at least to be present in proximity to each other in a location such as a house. However, for illustrating present principles the first CE device  44  is assumed to be in the same room as the AVDD  12 , bounded by walls illustrated by dashed lines  48 . 
         [0034]    The example non-limiting first CE device  44  may be established by any one of the above-mentioned devices, for example, a portable wireless laptop computer or notebook computer, and accordingly may have one or more of the components described below. The second CE device  46  without limitation may be established by a video disk player such as a Blu-ray player, a game console, and the like. The first CE device  44  may be a remote control (RC) for, e.g., issuing AV play and pause commands to the AVDD  12 , or it may be a more sophisticated device such as a tablet computer, a wireless telephone, etc. 
         [0035]    Accordingly, the first CE device  44  may include one or more displays  50  that may be touch-enabled for receiving user input signals via touches on the display. The first CE device  44  may include one or more speakers  52  for outputting audio in accordance with present principles, and at least one additional input device  54  such as e.g. an audio receiver/microphone for e.g. entering audible commands to the first CE device  44  to control the device  44 . The example first CE device  44  may also include one or more network interfaces  56  for communication over the network  22  under control of one or more CE device processors  58 . Thus, the interface  56  may be, without limitation, a Wi-Fi transceiver, which is an example of a wireless computer network interface. It is to be understood that the processor  58  controls the first CE device  44  to undertake present principles, including the other elements of the first CE device  44  described herein such as e.g. controlling the display  50  to present images thereon and receiving input therefrom. Furthermore, note the network interface  56  may be, e.g., a wired or wireless modem or router, or other appropriate interface such as, e.g., a wireless telephony transceiver, or Wi-Fi transceiver as mentioned above, etc. 
         [0036]    In addition to the foregoing, the first CE device  44  may also include one or more input ports  60  such as, e.g., a HDMI port or a USB port to physically connect (e.g. using a wired connection) to another CE device and/or a headphone port to connect headphones to the first CE device  44  for presentation of audio from the first CE device  44  to a user through the headphones. The first CE device  44  may further include one or more tangible computer readable storage medium  62  such as disk-based or solid state storage. Also in some embodiments, the first CE device  44  can include a position or location receiver such as but not limited to a cellphone and/or GPS receiver and/or altimeter  64  that is configured to e.g. receive geographic position information from at least one satellite and/or cell tower, using triangulation, and provide the information to the CE device processor  58  and/or determine an altitude at which the first CE device  44  is disposed in conjunction with the CE device processor  58 . However, it is to be understood that that another suitable position receiver other than a cellphone and/or GPS receiver and/or altimeter may be used in accordance with present principles to e.g. determine the location of the first CE device  44  in e.g. all three dimensions. 
         [0037]    Continuing the description of the first CE device  44 , in some embodiments the first CE device  44  may include one or more cameras  66  that may be, e.g., a thermal imaging camera, a digital camera such as a webcam, and/or a camera integrated into the first CE device  44  and controllable by the CE device processor  58  to gather pictures/images and/or video in accordance with present principles. Also included on the first CE device  44  may be a Bluetooth transceiver  68  and other Near Field Communication (NFC) element  70  for communication with other devices using Bluetooth and/or NFC technology, respectively. An example NFC element can be a radio frequency identification (RFID) element. 
         [0038]    Further still, the first CE device  44  may include one or more auxiliary sensors  72  (e.g., a motion sensor such as an accelerometer, gyroscope, cyclometer, or a magnetic sensor, an infrared (IR) sensor, an optical sensor, a speed and/or cadence sensor, a gesture sensor (e.g. for sensing gesture command), etc.) providing input to the CE device processor  58 . The first CE device  44  may include still other sensors such as e.g. one or more climate sensors  74  (e.g. barometers, humidity sensors, wind sensors, light sensors, temperature sensors, etc.) and/or one or more biometric sensors  76  providing input to the CE device processor  58 . In addition to the foregoing, it is noted that in some embodiments the first CE device  44  may also include an infrared (IR) transmitter and/or IR receiver and/or IR transceiver  42  such as an IR data association (IRDA) device. A battery (not shown) may be provided for powering the first CE device  44 . The CE device  44  may communicate with the AVDD  12  through any of the above-described communication modes and related components. 
         [0039]    The second CE device  46  may include some or all of the components shown for the CE device  44 . 
         [0040]    Now in reference to the afore-mentioned at least one server  80 , it includes at least one server processor  82 , at least one tangible computer readable storage medium  84  such as disk-based or solid state storage, and at least one network interface  86  that, under control of the server processor  82 , allows for communication with the other devices of  FIG. 1  over the network  22 , and indeed may facilitate communication between servers and client devices in accordance with present principles. Note that the network interface  86  may be, e.g., a wired or wireless modern or router, Wi-Fi transceiver, or other appropriate interface such as, e.g., a wireless telephony transceiver. 
         [0041]    Accordingly, in some embodiments the server  80  may be an Internet server, and may include and perform “cloud” functions such that the devices of the system  10  may access a “cloud” environment via the server  80  in example embodiments. Or, the server  80  may be implemented by a game console or other computer in the same room as the other devices shown in  FIG. 1  or nearby. 
         [0042]      FIGS. 2 and 3  illustrate example initialization logic conducted on the image (photo and/or video) database associated with a user of the AVDD  12 .  FIG. 2  illustrates that text metadata of the images is analyzed and  FIG. 3  illustrates that pixel information, e.g., image recognition, histograms, motion vectors for video, and the like are analyzed. 
         [0043]    The logic illustrated in  FIG. 2  begins at block  100  with the processor  24  of the AVDD  12  executing instructions to define and store taxonomy of potential search terms. The processor  24  then analyzes text metadata of the images at block  102  by determining commonalities shared by the images. For each of the determined commonalities, a subgroup having the commonality may be defined at block  104 . At this point, logic may proceed to an optional decision diamond  106  or directly to block  110 . The processor may determine at decision diamond  106  whether the number of images in the subgroup reach a threshold. If the number does not reach threshold, logic ends at block  108 . However, if the number of images does reach the threshold, then each image in the subgroup may be tagged with related taxonomy terms at block  110 . 
         [0044]    At block  100 , taxonomy may be heuristically defined. For example, the taxonomy may associate dates in metadata with the seasons to which the dates correspond, so that images with dates in July and August, for example, are both also tagged with “summer”. Position information in metadata such as global positioning satellite (GPS) data may be correlated by reverse geocoding to the name of a place, such as the name of a city or a national park. Thus, all photos with GPS location metadata located within, say, five miles of the central latitude and longitude of Los Angeles may be associated in the taxonomy with the term “Los Angeles”. 
         [0045]    Moving in reference to  FIG. 3 , the flow chart begins at block  112  and illustrates that pixel data of each image, e.g. histograms, or motion vectors can be analyzed. Commonalities among the pixel data or motion vectors for images may be determined by the processor  24 , and subgroups may be defined based on those commonalities as in block  114 . At block  116 , each subgroup is considered. If the number of images is not greater than a threshold at a decision diamond  118 , example logic terminates at block  120 . A positive finding at decision diamond  118  that the number of images is in fact greater than a threshold may result in each image in the subgroup being tagged with related taxonomy terms at block  122 . 
         [0046]    With respect to the taxonomy based on pixel data, images with a number of green pixels satisfying a threshold may be tagged with the taxonomy term “park”. Likewise, images with a number of blue pixels satisfying a threshold may be tagged with the taxonomy terms “ocean” and “beach”. Video images with motion vectors indicating motion exceeding a threshold may be tagged with the taxonomy term “sporting event” and image recognition may be further applied to discern an oblong shape and in response apply the term “football” to the video. People can be recognized in photos and their names appended to the photos. 
         [0047]    The taxonomy may include further layers. For example, using the above examples, if a user enters into the AVDD for example the birthday dates of individuals, photos within N days of a particular birthday can be tagged with the person&#39;s name and the term “birthday”. Thus, for example, if John&#39;s birthday is in July, using the above example photos within N days of the birthday would be tagged with their actual metadata date, the term “summer”, and the term “John&#39;s birthday”. The term “summer” may be further associated in the taxonomy with the term “vacation” and so all photos with metadata dates in the summer may be tagged with both “summer” and “vacation”. The taxonomy term “national park” in the example above may also be associated in the taxonomy with the term “vacation” so that photos whose GPS metadata indicate they have been taken in a national park (as obtained through, e.g., reverse geocoding of the GPS data) may be tagged with both “national park” and “vacation” as well as the proper name of the national park. 
         [0048]    Continuing with the examples above to illustrate depths of the taxonomy used in the query responses described herein, images whose pixels indicate “park” may be further tagged with “party” or “vacation”. Images whose pixels indicate “ocean” and “beach” may be tagged with the taxonomy terms “vacation”, “fishing”, and “surfing”. Images whose motion vectors indicate “sporting event” may be tagged with the term “weekend”. It is to be appreciated that the heuristically-defined taxonomy may be extended according to the principles above to additional terms and concepts. 
         [0049]    Now referring to  FIG. 4 , user action such as but not limited to a query is received at block  124 . Note that the user action may not be a query per se but rather allowing an image to remain presented on the display for more than a threshold period, at which point the logic infers that the user is interested in that image and thus analyzes the image along the lines described above to ascertain which aspect(s) is/are reflected in the image on display and, thus, which image subgroup(s) to prospectively return without further user request. 
         [0050]    The processor  24  may return images in subgroups with tag(s) matching the query at block  126  if the number of tags is greater than a predetermined threshold. At block  128 , the processor  24  may subsequently find images that are not in the subgroups with N≧1 tags (N being a predefined or end user-defined integer) matching the tags in the subgroup. At least one of these images is returned as well at block  130 . 
         [0051]    Query terms are used as entering arguments into an index data structure that may be constructed indexing the various tags discussed above with the image files with which each tag is associated. Images with at least N≧1 tags (N being a predefined or end user-defined integer) matching the query term(s) are returned. Moreover, the taxonomy is accessed to access additional images with tags taxonomically associated with the query term but different from the query term. In some examples, all additional images with at least one tag that is taxonomically associated with the query terms may be returned. In other examples, only the M such images (M being an integer greater than one) with the most tags taxonomically matching the query terms are returned. In still other examples K such images are selected at random and returned, K being an integer at least equal to one. 
         [0052]      FIG. 5  represents a schematic diagram, generally labeled  132 , of examples according to present principles. A photo  134  is included to demonstrate that different forms, or categories, of metadata  136  may be associated with the image. The forms of metadata  136  can include people identified by facial recognition, place and time as determined by a GPS locator, and content such as text or pixel data. Each form of metadata  136  may correlate or link to a simple context  138  shared between pictures. Taking more than one category of metadata  136  into consideration may lead to deeper context links  140  between pictures. 
         [0053]    For example, the content metadata  142  may include tags on the photo, “cake” or “food,” and can correlate to the simple context  144  that the tags indicate a cake, or food, in the picture. Pixel analysis, also part of the content metadata  142 , may reveal high levels of green colors from the grass and blue colors from the sky and may thus correlate to a park setting as part of the simple context  144 . Up to this point in the diagram, one category of metadata led to a simple context. Multiple categories of metadata may combine and lead to a deep context link between photos. The time metadata may combine with the content metadata  142  to lead to the deep context of summer vacations  146   a . Furthermore, inclusion of place metadata may yield the deep context of Riley at the park  146   b.    
         [0054]    Additional example logic is illustrated in  FIG. 6  and begins with the processor  24  receiving a user query for image files at block  148 . The user can include in the query at least a first term, which may be correlated to a second term at block  150 . The second term may not be included in the original query. The processor  24  may then at block  152  return at least one image associated with the first term contained within the query and at least one additional image associated with the second term not included in the query. This example logic builds upon the principles of returning images from search queries through a deeper context. 
         [0055]    While the particular DEEP CONTEXT PHOTO SEARCHING is herein shown and described in detail, it is to be understood that the subject matter which is encompassed by the present invention is limited only by the claims.
A user can search for photographs or videos and deep linking rules may be applied to images to discern images that might be desired by the user that otherwise would not be returned using conventional photo categorization and metadata searching.