Identifying scene boundaries using group sparsity analysis
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United States of America Patent
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May 30, 2017
Grant Date -
Nov 10, 2016
app pub date -
Jul 22, 2016
filing date -
Aug 3, 2012
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Abstract
A method for identifying a set of key video frames from a video sequence comprising extracting feature vectors for each video frame and applying a group sparsity algorithm to represent the feature vector for a particular video frame as a group sparse combination of the feature vectors for the other video frames. Weighting coefficients associated with the group sparse combination are analyzed to determine video frame clusters of temporally-contiguous, similar video frames. The video sequence is segmented into scenes by identifying scene boundaries based on the determined video frame clusters.
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