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Comparison of texture coding methods in a unified motion prediction/compensation video compression algorithm

机译:统一运动预测/补偿视频压缩算法中纹理编码方法的比较

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Efficient video compression is based on three principles: reduction of the temporal, spatial and statistical redundancy present in the video signal. Most video compression algorithm, (MPEGs, H.26x, ...) use the same principle to reduce the spatial redundancy, i.e. an 8x8 DCT transform. However there exist other transforms capable of similar results. Those are the integer 4x4 DCT and the wavelet transforms for instance. This article compare many transforms in the same global compression scheme, i.e the same motion estimation, compensation strategy and the same entropy coding. Moreover the tests are conducted on sequences of different nature, such as sport, video surveillance and movies. This allows a global performance comparison of those transforms in manv different scenarios.
机译:高效的视频压缩基于三个原则:减少视频信号中存在的时间,空间和统计冗余。大多数视频压缩算法(MPEGS,H.26x,...)使用相同的原理来减少空间冗余,即8x8 DCT变换。然而,存在能够具有类似结果的其他变换。例如,这些是整数4x4 DCT和小波变换。本文比较了相同的全局压缩方案中的许多变换,即相同的运动估计,补偿策略和相同的熵编码。此外,测试是在不同性质的序列上进行的,例如运动,视频监控和电影。这允许在曼夫不同场景中的那些转换的全局性能比较。

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