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Scene-adaptive motion interpolation structures based on temporal masking in human visual perception

机译:基于人类视觉感知颞掩模的场景 - 自适应运动插值结构

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In this paper we present a novel technique to dynamically adapt motion interpolation structures by temporal segmentation. The interval between two reference frames is adjusted according to the temporal variation of the input video. The difficulty of bit rate control for this dynamic group of pictures (GOP) structure is resolved by taking advantage of temporal masking in human vision. Six different frame types are used for efficient bit rate control, and telescopic search is used for fast motion estimation because frame distances between reference frames are dynamically varying. Constant picture quality can be obtained by variable bit rate coding using this approach and the statistical bit rate behavior of the coder is discussed. Advantages for low bit rate coding and storage media applications and implications for HDTV coding are discussed. Simulations on test video including HDTV sequences are presented for various GOP structures and different bit rates, and the results compare favorably with those for conventional fixed GOP structures.
机译:在本文中,我们提出了一种新颖的技术来通过时间分割动态调整运动插值结构。根据输入视频的时间变型来调整两个参考帧之间的间隔。通过利用人体视觉中的时间掩蔽来解决该动态图像(GOP)结构的比特率控制的难度。六种不同的帧类型用于有效比特率控制,并且伸缩搜索用于快速运动估计,因为参考帧之间的帧距离是动态变化的。可以通过使用该方法的可变比特率编码获得恒定图像质量,并且讨论了编码器的统计比特率行为。讨论了低比特率编码和存储介质应用的优点以及用于HDTV编码的影响。针对各种GOP结构和不同比特率提出了关于包括HDTV序列的测试视频的模拟,并且结果与传统固定的GOP结构有利地比较。

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