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An Effective and Fast Scene Change Detection Algorithm for MPEG Compressed Videos

机译:一种有效且快速的MPEG压缩视频场景变化检测算法

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摘要

In this paper, we propose an effective and fast scene change detection algorithm directly in MPEG compressed domain. The proposed scene change detection exploits the MPEG motion estimation and compensation scheme by examining the prediction status for each macro-block inside B frames and P frames. As a result, locating both abrupt and dissolved scene changes is operated by a sequence of comparison tests, and no feature extraction or histogram differentiation is needed. Therefore, the proposed algorithm can operate in compressed domain, and suitable for real-time implementations. Extensive experiments illustrate that the proposed algorithm achieves up to 94% precision for abrupt scene change detection and 100% for gradual scene change detection. In comparison with similar existing techniques, the proposed algorithm achieves superiority measured by recall and precision rates.
机译:在本文中,我们直接在MPEG压缩域中提出了一种有效且快速的场景变化检测算法。所提出的场景变化检测通过检查B帧和P帧内每个宏块的预测状态来利用MPEG运动估计和补偿方案。结果,通过一系列比较测试来定位突然的和溶解的场景变化,并且不需要特征提取或直方图区分。因此,所提出的算法可以在压缩域中运行,并且适合于实时实现。大量实验表明,该算法在突变场景检测中达到了94%的精度,在渐变场景检测中达到了100%的精度。与类似的现有技术相比,该算法通过召回率和准确率实现了优越性。

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