New fast search block matching Motion Estimation algorithm for H.264 /AVC

T. Muralidhar Reddy, P. Muralidhar, C. Rama Rao
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引用次数: 1

Abstract

Video encoding algorithms with less complexity are required in many real time video coding applications. Motion Estimation (ME) is computationally intensive part of video compression. This paper introduces One bit transformation ME algorithm, which transforms the video sequences from multi-bit to a single bit per pixel representation and then used conventional motion estimation search strategies, this will reduce the arithmetic calculations and hardware complexity while maintaining almost good compression performance. In this paper, we propose an efficient fast search ME method for one bit transform to reduce computations involved in determining motion of blocks in a frame. The proposed Fast search algorithm effectively estimates the motion information in video. Experimental results shows 50% reduction in computations with a marginal loss of 3% PSNR compared to the conventional Exhaustive search algorithm.
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H.264 /AVC下新的快速搜索块匹配运动估计算法
许多实时视频编码应用都需要复杂度较低的视频编码算法。运动估计(ME)是视频压缩中计算量较大的部分。本文介绍了一比特变换ME算法,该算法将视频序列从多比特表示转换为每像素单比特表示,然后使用传统的运动估计搜索策略,在保持良好压缩性能的同时减少了算法计算和硬件复杂度。在本文中,我们提出了一种有效的快速搜索的一比特变换方法,以减少计算所涉及的确定块在一帧中的运动。提出的快速搜索算法能有效地估计视频中的运动信息。实验结果表明,与传统的穷举搜索算法相比,该算法的计算量减少了50%,PSNR的边际损失为3%。
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