H.264/AVC标准下的鲁棒多假设运动补偿预测

Tamim Haroun, F. Labeau
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引用次数: 1

摘要

多假设运动补偿预测(Multiple Hypothesis Motion Compensated Prediction, MHMCP)是一种非常有效的提高运动补偿预测的抗误差能力的方法,并且对运动图像序列压缩的编码效率影响很小,已经得到了广泛的研究。带2个假设的MHMCP (2HMCP)可以在H.264/AVC标准中使用,在广义B图像框架下实现。我们探索了2HMCP的良好实现,并提出了一种新的方法,通过限制每个参考框架中的搜索区域,使从每个参考框架中选择的假设不太相关,从而进一步增强错误恢复能力。我们发现有显著的率失真增益,特别是对于快速移动的序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Multiple Hypothesis Motion Compensated Prediction within the H.264/AVC standard
Multiple Hypothesis Motion Compensated Prediction (MHMCP) has been extensively studied and is known to be a very effective method for enhancing the error resilience of motion compensated prediction with little impact on coding efficiency for compressing moving picture sequences. MHMCP with 2 hypotheses (2HMCP) may be used within the H.264/AVC standard by implementing it under the generalized B pictures framework. We explore good implementations of 2HMCP and propose a novel method to further enhance the error resilience by restricting the search areas in each reference frame such that the hypotheses selected from each are not too correlated. We find that there is significant rate-distortion gain, especially for fast moving sequences.
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