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Fast and efficient techniques for motion estimation using subband analysis

机译:使用子带分析进行运动估计的快速有效技术

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Motion estimation plays an integral role in many video compression schemes as a means of exploiting the temporal redundancies which exist between frames. However, most algorithms currently available for performing motion estimation are based on exhaustive search procedures which create a bottle-neck in the coding process due to their computational complexity. Design of improved video codecs, particularly for low bit rates, requires fast and efficient algorithms for performing the motion estimation. An efficiently designed algorithm should have the capability of adapting itself to the particular signal sequence being processed. As a result of much promising research currently being pursued in multidimensional subband coding, the importance of subband analysis as a valuable, formal analysis tool has increased vastly. In this paper, we present novel techniques based on subband analysis for performing fast and efficient motion estimation.
机译:作为利用帧之间存在的时间冗余的一种手段,运动估计在许多视频压缩方案中起着不可或缺的作用。然而,当前可用于执行运动估计的大多数算法是基于穷举搜索过程的,该穷举搜索过程由于其计算复杂性而在编码过程中产生了瓶颈。改进的视频编解码器的设计,尤其是针对低比特率的视频编解码器,需要快速有效的算法来执行运动估计。有效设计的算法应具有使其自身适应正在处理的特定信号序列的能力。由于目前在多维子带编码中正在进行许多有前途的研究,因此子带分析作为一种有价值的形式化分析工具的重要性已大大提高。在本文中,我们提出了基于子带分析的新颖技术,可用于执行快速有效的运动估计。

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