PERFORMANCE-BASED STUDY ON DIAMOND SEARCH AND ITS VARIATIONS FOR EFFICIENT MOTION ESTIMATION IN VIDEO

Hussain Ahmed Choudhury, N. Sinha, T. H. Sardar, Archana Wagh-Mare
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Abstract

The motion estimation is a crucial process of video encoding process which needs to be dealt with high importance. There has been a lot of research works on the topic and various block-based motion estimation techniques were designed and implemented for the same. Out of the existing developed techniques, Diamond Search (DS) is one of the efficient motion estimation technique and most no. of new algorithms are designed based on this DS only. In this paper, we will be critically reviewing the Diamond Search (DS) and few existing variations of block matching algorithms based on DS which varies according to search criteria, search pattern, size of the search window, macro block size and PSNR values. The algorithms are being applied to different video sequences to do a comparative study among them and check out which variation of DS is efficient for which video sequences.
基于性能的菱形搜索及其变体在视频中高效运动估计中的研究
运动估计是视频编码过程中的一个关键过程,需要高度重视。已经有很多关于该主题的研究工作,并且针对该主题设计和实现了各种基于块的运动估计技术。在现有的运动估计技术中,Diamond Search(DS)是一种有效的运动估计方法,并且大多数新算法都是基于这种DS设计的。在本文中,我们将批判性地回顾Diamond Search(DS)和基于DS的块匹配算法的一些现有变体,它们根据搜索标准、搜索模式、搜索窗口的大小、宏块大小和PSNR值而变化。将这些算法应用于不同的视频序列,对它们进行比较研究,并检验DS的哪种变化对哪种视频序列有效。
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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