A unified approach to temporal segmentation of motion JPEG and MPEG compressed video

B. Yeo, Bede Liu
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引用次数: 110

Abstract

A common framework for rapid scene analysis for detecting scene changes in compressed motion JPEG and MPEG videos is proposed. We develop algorithms to detect both abrupt and gradual scene changes. The algorithms operate directly on the DC sequence which can be easily extracted from motion JPEG and MPEG compressed video without decompression. The DC images capture most of the essential "global" information, but is of a small fraction of the original data size. Operating on these images offers significant computation savings. Experimental results show that the proposed algorithms are fast and effective in detecting abrupt scene changes and gradual transitions.
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一种统一的运动JPEG和MPEG压缩视频的时间分割方法
提出了一种用于检测压缩运动JPEG和MPEG视频中场景变化的快速场景分析通用框架。我们开发了算法来检测突然和渐进的场景变化。该算法直接对运动JPEG和MPEG压缩视频中易于提取的DC序列进行操作,无需解压缩。DC图像捕获了大多数重要的“全局”信息,但只占原始数据大小的一小部分。在这些图像上操作可以节省大量的计算。实验结果表明,该算法能够快速有效地检测到场景的突然变化和渐变。
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