一种改进的基于模板匹配平均的低延迟帧间编码

Yoshinori Suzuki, C. Boon
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引用次数: 4

摘要

针对低时延应用,提出了一种高效的视频编码前向互预测方法。该方法将模板匹配平均(TMA)的思想应用于传统的运动补偿预测(MCP)。TMA通过对多个候选数据进行平均,形成目标块的最终预测器。当其中一个候选点由运动向量指定时,剩余的候选点是基于目标块(即模板)周围的一组重构像素对参考帧的最小匹配误差获得的。通过这种方式,可以在不使用显式运动向量的情况下获得额外的预测因子。此外,多个预测器的平均减少了存在于每个预测器中的编码噪声,从而有助于提高预测效率。仿真结果表明,与传统的MCP相比,该方案的编码效率提高了4.5%,且不会因后向预测而产生编码延迟。
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An improved low delay inter frame coding using template matching averaging
This paper presents an efficient forward inter prediction method for video coding, targeting at low delay applications. The method applies the idea of template matching averaging (TMA) to the conventional motion compensated prediction (MCP). TMA forms the final predictor of a target block by averaging multiple numbers of candidates. While one of the candidate is specified by a motion vector, the remaining candidates are obtained based on the minimal matching error of a group of reconstructed pixels surrounding the target block, i.e., the template, against the reference frames. In this manner, additional predictors can be obtained without using explicit motion vector. In addition, the averaging of multiple predictors reduces coding noise residing in each of the predictors and hence contributes to improving the prediction efficiency. Simulation results show that the proposed scheme improves coding efficiency up to 4.5%, over the conventional MCP, without incurring coding delay due to backward prediction.
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