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Abstract

Automated summarization of digital video sequences is accomplished using a vector rank filter. The consecutive frames of a digital video sequence can be represented as feature vectors which are successively accumulated in a set of vectors. The distortion of the set by the addition of each successive vector or the cumulative distance from each successive vector to all other vectors in the set is determined by a vector rank filter. When the distortion exceeds a threshold value the end of a video segment is detected. Each frame in a video segment can be ranked according to its relative similarity to the other frames of the set by applying the vector rank filter to the feature vectors representing the video frames. To produce a summary of a video sequence which is most representative of the content of the sequence, frames are chosen that correspond to vectors that are the least distant to or produce the least distortion of the set of vectors representing the segment. The ranking of the relative distortion can be used as the basis for selecting more than one frame from each segment to produce a hierarchy of summaries containing greater numbers of the frames having the most representative content.

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