Video summarization by k-medoid clustering

Abstract

In this paper, we propose a video summarization algorithm by multiple extractions of key frames in each shot. This algorithm is based on the <i>k-medoid</i> clustering algorithms to find the best representative frame for each video shot. This algorithm, which is applicable to all types of descriptors, consists of extracting key frames by similarity… (More)
DOI: 10.1145/1141277.1141601

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