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Rate-Distortion-Constrained Statistical Motion Estimation for Video Coding

机译:视频编码的速率 - 失真约束统计运动估计

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A rate-distortion-constrained statistical motion estimation algorithm is presented here that leads to improvements in subband video coding. The main advantages of the algorithm is that it requires a relatively small number of computations, produces a much smoother motion field, and employs a more effective measure of performance than the conventional mean absolute difference or mean squared error. The proposed ajgorithm circumvents problems in the motion compensation loop such as illumination variations, noise, and occlusions, by providing a mechanism for alternating between intra-frame and residual coding. Experimental results demonstrate that the corresponding video coder outperforms the H.263 in terms of motion vector search complexity and overall bit rate at the same reproduction quality.

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