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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Video Synopsis Based on a Sequential Distortion Minimization Method
verfasst von : Costas Panagiotakis, Nelly Ovsepian, Elena Michael
Erschienen in: Computer Analysis of Images and Patterns
Verlag: Springer Berlin Heidelberg
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The main goal of the proposed method is to select from a video the most “significant” frames in order to broadcast, without apparent loss of content by decreasing the potential distortion criterion. Initially, the video is divided into shots and the number of synopsis frames per shot is computed based on a criterion that takes into account the visual content variation. Next, the most “significant” frames are sequentially selected, so that the visual content distortion between the initial video and the synoptic video is minimized. Experimental results and comparisons with other methods on several real-life and animation video sequences illustrate the high performance of the proposed scheme.