{"title":"A Comparative Analysis of H.264 Videocompression Standard using Different Entropy Coding Methods","authors":"E. Logashanmugam, R. Ramachandran","doi":"10.18000/ijies.30022","DOIUrl":null,"url":null,"abstract":"In this paper, we present a comparative performance analysis of low power hardware architecture for real time implementation of context adaptive binary arithmetic coding algorithm and Context-based adaptive Variable Length Coding algorithm (CAVLC) used in H.264/ MPEG part 10 video coding standards. The video compression efficiency achieved in H.264 standard is not a result of any single feature but rather a combination of a number of encoding tools. CAVLC requires considerably more processing power to decode. The encoding process is simulated by MATLAB which compress the input video sequence and ensures better performance in video compression. The results that are obtained reveal better performance of both entropy coding methods.","PeriodicalId":368328,"journal":{"name":"International Journal on Intelligent Electronic Systems","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Intelligent Electronic Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18000/ijies.30022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present a comparative performance analysis of low power hardware architecture for real time implementation of context adaptive binary arithmetic coding algorithm and Context-based adaptive Variable Length Coding algorithm (CAVLC) used in H.264/ MPEG part 10 video coding standards. The video compression efficiency achieved in H.264 standard is not a result of any single feature but rather a combination of a number of encoding tools. CAVLC requires considerably more processing power to decode. The encoding process is simulated by MATLAB which compress the input video sequence and ensures better performance in video compression. The results that are obtained reveal better performance of both entropy coding methods.
本文对H.264/ MPEG part 10视频编码标准中使用的上下文自适应二进制算法和基于上下文的自适应变长编码算法(CAVLC)的低功耗硬件架构进行了性能对比分析。H.264标准所达到的视频压缩效率并不是单一特性的结果,而是多种编码工具的结合。CAVLC需要相当多的处理能力来解码。利用MATLAB对编码过程进行仿真,对输入的视频序列进行压缩,保证了较好的视频压缩性能。结果表明,两种熵编码方法都具有较好的性能。