块匹配运动估计算法分析

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI:10.1109/ICCCNT.2013.6726718

P. Muralidhar, C. Rao

{"title":"块匹配运动估计算法分析","authors":"P. Muralidhar, C. Rao","doi":"10.1109/ICCCNT.2013.6726718","DOIUrl":null,"url":null,"abstract":"Motion estimation is one of the most important tasks in the current standards of video compression. In this paper seven different block matching motion estimation algorithms are analysed for fast motion estimation in video coding. The simulation results of the algorithms are compared based on PSNR, average time taken per frame, total number of search points per macro block and time taken per macro block.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":"295 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Analysis of block matching motion estimation algorithms\",\"authors\":\"P. Muralidhar, C. Rao\",\"doi\":\"10.1109/ICCCNT.2013.6726718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion estimation is one of the most important tasks in the current standards of video compression. In this paper seven different block matching motion estimation algorithms are analysed for fast motion estimation in video coding. The simulation results of the algorithms are compared based on PSNR, average time taken per frame, total number of search points per macro block and time taken per macro block.\",\"PeriodicalId\":6330,\"journal\":{\"name\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"volume\":\"295 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2013.6726718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2013.6726718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

运动估计是当前视频压缩标准中最重要的任务之一。针对视频编码中的快速运动估计问题，分析了7种不同的块匹配运动估计算法。基于PSNR、每帧平均耗时、每个宏块总搜索点数和每个宏块耗时对算法的仿真结果进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Analysis of block matching motion estimation algorithms

Motion estimation is one of the most important tasks in the current standards of video compression. In this paper seven different block matching motion estimation algorithms are analysed for fast motion estimation in video coding. The simulation results of the algorithms are compared based on PSNR, average time taken per frame, total number of search points per macro block and time taken per macro block.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

自引率

0.00%

发文量