An efficient gradual scene boundary detection algorithm for H.264/AVC in compressed domain

Jielong Chen, Jian Wang, X. Ji
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Abstract

Scene boundary detection is the essential step for video analysis such as retrieval, indexing, browsing and so on. There have been quite a lot of scene boundary detection methods for MPEG video streams and they work well. However, the variable size of macroblocks and more type information of macroblocks in H.264/AVC bitstreams make it different from MPEG bitstreams. Consequently, most of the algorithms can not be applied to the H.264/AVC directly. In this paper, an algorithm based on the percentage of blocks coded with the same mode in each frame is proposed. After analyzing the statistics of type information of the sequence contain gradual scene changes, the algorithm sets appropriate thresholds to locate the gradual scene boundaries. Experimental results show that the proposed algorithm performs well and can detect 90.9% of the boundaries and make few false alarms.
一种高效的H.264/AVC压缩域渐进场景边界检测算法
场景边界检测是视频检索、索引、浏览等分析的关键步骤。针对MPEG视频流的场景边界检测方法已经出现了很多,并且都取得了很好的效果。但是,H.264/AVC比特流中宏块大小的可变和宏块的类型信息较多,使其与MPEG比特流不同。因此,大多数算法不能直接应用于H.264/AVC。本文提出了一种基于同一模式编码的块在每帧中所占百分比的算法。该算法对包含渐变场景变化的序列类型信息进行统计分析后,设置相应的阈值,定位渐变场景边界。实验结果表明,该算法具有良好的性能,能够检测出90.9%的边界,且产生的虚警较少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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