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Wavelet-based video coder via bit allocation

机译:通过位分配的基于小波的视频编码器

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摘要

We present a video coder based on a bit allocation (BA) scheme for a coding approach where a wavelet-based video compression scheme is used to encode a group of frames (GOF). The proposed new BA method utilizes a Lagrangian multiplier technique to determine the optimal bit rate for each frame of a given GOF in a rate versus weighted distortion sense. The proposed baseline coder sequentially employs the application of the wavelet transform on each frame in the group. In the wavelet domain, an optimal-vector BA (rate-allocation strategy) is being used to distribute the bit budget among the frames. The manipulated frames in each group are quantized and coded using techniques from still-image compression. We describe and demonstrate the performance of the proposed algorithm in wavelet-based coding approaches. The first one, a combination of wavelet still compression and optimal BA (WCBA), is based on frame differences and exploits well the wavelet compression characteristics which keeps, for a given bit budget, the most important features. It does not utilize motion-compensation interpolation or a 3-D wavelet decomposition. In cases where “heavy” motion is detected, we extend WCBA into a combination of wavelet still compression, optimal BA, motion compensation with block matching, and error correction (WCBAM), which uses block matching for motion estimation, while the residual error of the compression is reduced by applying error correction in the wavelet domain to reduce temporal redundancies
机译:我们提出了一种基于位分配(BA)方案的视频编码器,用于一种编码方法,其中基于小波的视频压缩方案用于编码一组帧(GOF)。所提出的新的BA方法利用拉格朗日乘数技术来确定给定GOF的每个帧在速率与加权失真意义上的最佳比特率。提出的基线编码器顺序地在组中的每个帧上应用小波变换。在小波域中,最优矢量BA(速率分配策略)被用于在帧之间分配比特预算。使用来自静止图像压缩的技术对每组中的操纵帧进行量化和编码。我们描述和演示了该算法在基于小波的编码方法中的性能。第一个是小波静态压缩和最佳BA(WCBA)的组合,它基于帧差异,并且很好地利用了小波压缩特性,对于给定的比特预算,该特性保持了最重要的功能。它不使用运动补偿插值或3-D小波分解。在检测到“重”运动的情况下,我们将WCBA扩展为小波静止压缩,最佳BA,具有块匹配的运动补偿和误差校正(WCBAM)的组合,后者使用块匹配进行运动估计,而剩余误差为通过在小波域中应用纠错以减少时间冗余来减少压缩

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