1. A method of a client device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; and associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement provided by a content provider and the content identifier, wherein a capture infrastructure annotates the audio-visual data with at least one of a brand name and a product name by comparing entries in the master database with at least one of a closed captioning data of the audio-visual data and through an application of an optical character recognition algorithm in the audio-visual data; wherein the content identifier is at least one of a music identification, an object identification, a facial identification, and a voice identification, wherein a minimal functionality comprising accessing at least one of a tuner and a stream decoder that identifies at least one of a channel and a content is found in the networked media device, wherein the networked media device produces at least one of an audio fingerprint and a video fingerprint that are communicated with the capture infrastructure, wherein the capture infrastructure compares at least one of the audio fingerprint and the video fingerprint with a master database, wherein the capture infrastructure annotates the audio-visual data with a logo name by comparing entries in the master database with a logo data of the audio-visual data identified using a logo detection algorithm, wherein the capture infrastructure automatically divides the audio-visual data into a series of scenes based on a sematic grouping of actions in the audio-visual data, wherein the audio-visual data is analyzed in advance of a broadcast to determine content identifiers associated with each commercial in the audio-visual data such that advertisements are pre-inserted into the audio-visual data prior to broadcast, wherein the capture infrastructure applies a time-order algorithm to automatically match advertisements to the audio-visual data when a correlation pattern is identified by the capture infrastructure with other audio-visual content previously analyzed, wherein the capture infrastructure includes a buffer that is saved to a persistent storage and for which a label is generated to facilitate identification of reoccurring sequences, wherein a post processing operation is at least one of automated through a post-processing algorithm and a crowd-sourced operation using a plurality of users in which a turing test is applied to determine a veracity of an input, wherein a device pairing algorithm is used in which a cookie data associated with a web page visited by the user stored on a browser on the client device is paired with the networked media device when the client device is communicatively coupled with the networked media device, wherein a transitive public IP matching algorithm is utilized in which at least one of the client device and the networked media device communicates each public IP address with any paired entity to the capture infrastructure, and wherein a tag that is unconstrained from a same-origin policy is used to automatically load the advertisement in the browser, wherein the tag is at least one of an image tag, a frame, a iframe, and a script tag.