METHOD AND SYSTEM FOR PROGRESSIVE PENALTY AND REWARD BASED AD SCORING FOR DETECTION OF ADS

    公开(公告)号:US20180359523A1

    公开(公告)日:2018-12-13

    申请号:US16003049

    申请日:2018-06-07

    摘要: The present disclosure provides a computer-implemented method and system for progressive penalty and reward based ad scoring for real time supervised detection of televised video ads in televised media content. The method includes reception of the media content and selection of a set of frames per second from the media content. The method includes extraction of key points from each selected frame and derivation of binary descriptors from extracted key points. The method includes assignment of weight value to each binary descriptor and creation of a special pyramid of the binary descriptors. The method includes obtaining a first vocabulary of binary descriptors for each selected frame and accessing a second vocabulary of binary descriptors. The method includes comparison of each binary descriptor in the first vocabulary with binary descriptors in second vocabulary. The method includes progressively scoring each selected frame of the media content for detection of a first ad.

    METHOD AND SYSTEM FOR HARDWARE, CHANNEL, LANGUAGE AND AD LENGTH AGNOSTIC DETECTION OF TELEVISED ADVERTISEMENTS

    公开(公告)号:US20180357491A1

    公开(公告)日:2018-12-13

    申请号:US16003026

    申请日:2018-06-07

    摘要: The present disclosure provides a computer-implemented method and system for hardware, channel, language and ad length agnostic detection of multi-lingual televised advertisements. The detection is performed across live streams of media content of one or more broadcasted channels. The method includes selection of a set of frames per second from a pre-defined set of frames. The method includes extraction of a pre-defined number of keypoints from each selected frame and derivation of a pre-defined number of binary descriptors from the extracted keypoints. The method includes creation of a special pyramid of the binary descriptors and accessing a second vocabulary of binary descriptors. The method includes comparison of each spatially identifiable binary descriptor from the first vocabulary with spatially identifiable binary descriptors in clusters of the second vocabulary. The method includes progressively scoring each selected frame and detection of the first ad in the live streams of the media content.

    METHOD AND SYSTEM OF AUTO-TAGGING BRANDS OF TELEVISION ADVERTISEMENTS

    公开(公告)号:US20170264971A1

    公开(公告)日:2017-09-14

    申请号:US15454835

    申请日:2017-03-09

    摘要: A system and method for automated tagging of one or more advertisements broadcasted on a channel in real time includes a step of detecting the one or more advertisements broadcasted on the channel, and another step of fetching a set of prominent frames and a pre-defined section of an audio clip. The set of prominent frames and the pre-defined section of the audio clip correspond to a detected advertisement. The method also includes another step of retrieving plural features. The plural features corresponds to the set of prominent frames and the pre-defined section of the audio clip. The method also includes another step of comparing each of the plurality of features with corresponding pre-defined set of features. The method also includes another step of tagging the detected advertisement with a unique tag.

    METHOD AND SYSTEM OF STANDARDIZING MEDIA CONTENT FOR CHANNEL AGNOSTIC DETECTION OF TELEVISION ADVERTISEMENTS

    公开(公告)号:US20170264930A1

    公开(公告)日:2017-09-14

    申请号:US15454770

    申请日:2017-03-09

    摘要: A system and method for standardizing media content for channel agnostic detection of television advertisements includes normalizing each frame of a video corresponding to broadcast media content on the channel. The method also includes deriving one or more characteristics corresponding to one or more features. The method also includes trimming a pre-defined percentage of area in each frame of the media content based on the one or more characteristics corresponding to the one or more features associated with the media content. The method also includes extracting a first set of audio fingerprints and a first set of video fingerprints. The first set of audio fingerprints and the first set of video fingerprints correspond to a media content broadcasting on the channel. The method also includes detecting the one or more advertisements broadcast across the plurality of channels in the real time.