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Fade-in and fade-out detection in video sequences using histograms

机译:使用直方图检测视频序列中的淡入和淡出

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摘要

There is an increased need to extract key information automatically from video for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. Several algorithms have been proposed for both sudden and gradual scene change detection in uncompressed and compressed video. In this paper we present an algorithm for fade-in and fade-out scene change detection in both uncompressed and compressed video sequences using histograms. We use the properties of the fading operation and extract these features in the luminance histogram. Results show that the proposed algorithm can be used in both uncompressed and compressed video to detect fade regions with a high reliability and less computations
机译:为了索引,快速检索和场景分析的目的,越来越需要从视频中自动提取关键信息。为了支持这一愿景,必须开发可靠的场景变化检测算法。对于未压缩和压缩视频中的突然和渐进的场景变化检测,已经提出了几种算法。在本文中,我们提出了一种使用直方图在未压缩和压缩视频序列中淡入和淡出场景变化检测的算法。我们使用衰落操作的属性,并在亮度直方图中提取这些特征。结果表明,该算法可用于未压缩和压缩视频中,能够以较高的可靠性和较少的计算量检测淡出区域。

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