Abstract
Abstract Summarization of videos for different applications like video object recognition and classification, video retrieval and archival and surveillance is an active research area in computer vision. One of the methods to summarize video data is extraction of key-frame. This paper proposes a method of key-frame extraction using thresholding of absolute difference of histogram of consecutive frames of video data. The experiment is conducted on KTH action database. For evaluation purpose compression ratio and fidelity value is calculated and it is able to achieve reasonably higher accuracy rate.
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