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Sudden scene change detection in compressed video using interpolated macroblocks in B-frames

机译:使用B帧中的内插宏块对压缩视频中的突然场景变化进行检测

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摘要

This paper addresses an important area in video processing, namely compressed domain processing. For video indexing, video scene transition detection is an essential step to segment the video. Current techniques for scene change detection tend to suffer from a major limitation as most of them cannot identify scene transitions in the compressed domain. Since most video is expected to be stored in the compressed domain, scene transition detection in this domain is highly desirable. In this paper an algorithm for video scene change detection is proposed to overcome this limitation. In this scheme, properties of the B-frames are used as it is capable of measuring the correlation between two adjacent reference frames. The results show that this scheme performs better than schemes based on P-frames. Proposed scheme can be directly applied with compressed data with minimum decompression and hence it is computationally efficient and makes real time implementations possible. Results show that video scene transitions can be identified satisfactorily with the proposed scheme.
机译:本文介绍了视频处理中的一个重要领域,即压缩域处理​​。对于视频索引,视频场景过渡检测是分割视频的重要步骤。当前用于场景变化检测的技术趋于遭受主要限制,因为它们中的大多数不能识别压缩域中的场景转换。由于预期大多数视频将存储在压缩域中,因此非常需要此域中的场景转换检测。本文提出了一种视频场景变化检测算法,以克服这一局限性。在该方案中,使用了B帧的属性,因为它能够测量两个相邻参考帧之间的相关性。结果表明,该方案的性能优于基于P帧的方案。所提出的方案可以以最小的解压缩直接应用于压缩数据,因此它的计算效率很高,并使实时实现成为可能。结果表明,采用该方案可以令人满意地识别视频场景过渡。

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