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Prediction Matching for Video Coding

机译:视频编码预测匹配

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摘要

Modern video coding schemes such as H.264/AVC employ multi-hypothesis motion compensation for an improved coding efficiency. However, an additional cost has to be paid for the improved prediction performance in these schemes. Based on the observed high correlation among the multiple hypothesis in H.264/AVC, in this paper,we propose a new method (Prediction Matching) to jointly combine explicit and implicit prediction approaches.The first motion hypothesis on a predicted block is explicitly coded, while the eventual additional hypotheses are implicitly derived at the decoder based on the first one and the available data from previously decoded frames.Thus, the overhead to indicate motion information is reduced, while prediction accuracy may be better with respect to fully implicit multi-hypothesis prediction. Proof-of-concept simulation results show that up to 7.06% bitrate saving with respect to state-of-the-art H.264/AVC can be achieved using our Prediction Matching.
机译:现代视频编码方案,如H.264 / AVC采用多假设运动补偿,以提高编码效率。但是,必须在这些计划中提高预测性能的额外成本。基于H.264 / AVC中的多假设中观察到的高相关,本文提出了一种新方法(预测匹配),共同组合显式和隐式预测方法。预测块上的第一个运动假设明确编码,而最终的附加假设基于来自先前解码的帧的第一一个和可用数据在解码器上隐式导出.Thus,指示运动信息的开销减少,而预测精度可以更好地相对于完全隐式多型假设预测。验证概念仿真结果表明,可以使用我们的预测匹配来实现高达最先进的H.264 / AVC的7.06%的比特率节省。

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