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Recognition of Audiovisual Celebrity in Unrestrained Web Videos
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A number of video clips are available online. Users are uploading videos and provides the source of indexing information as title of video and set of keywords. Automated extraction of video content from a large scale video is a challenging and yet unsolved problem. Proposed method finds the audiovisual mapping. All pieces of information is trained automatically without any human supervision. We presents the results in 1200 videos and show the effectiveness of the method per celebrity basis.
Keywords
Speaker Recognition, Face Recognition, Diagonal Covariances, Equal Error Rates.
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