Estimation of Fade and Dissolve Parameters for Weighted Prediction in H.264/AVC

Fatih Kamisli, D. Baylon
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引用次数: 1

Abstract

Weighted prediction (WP) is one way of overcoming the limitations of simple motion compensation for scenes with gradual transitions such as fades or dissolves. In WP, the predictions for inter coded blocks are obtained from scaled versions of the reference frames. H.264/AVC is the first video coding standard that has incorporated WP tools. In this paper, we focus on the estimation of weights for WP in dissolves. Our findings indicate that the estimation approaches for dissolves should be different from the estimation approaches for fades. Specifically, estimating the weights jointly for the two reference frames of B-frames gives better performance for dissolves under most circumstances.
H.264/AVC中加权预测中衰落和溶解参数的估计
加权预测(WP)是克服简单运动补偿的局限性的一种方法,适用于渐变或消失等场景。在WP中,对互编码块的预测是从参考帧的缩放版本中获得的。H.264/AVC是第一个集成了WP工具的视频编码标准。本文主要研究了溶解物中WP的权重估计问题。我们的研究结果表明,对溶解的估计方法应该不同于对褪色的估计方法。具体来说,在大多数情况下,联合估计b框架的两个参考框架的权重可以获得更好的溶解性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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