{"title":"Entropy coding of H.264/AVC using Exp-Golomb coding and CAVLC coding","authors":"Savita Nargundmath, Archana Nandibewoor","doi":"10.1109/ICANMEET.2013.6609386","DOIUrl":null,"url":null,"abstract":"As the costs for both processing power and memory have reduced, network support for coded video data has diversified, and advances in video coding technology have progressed, the need has arisen for an industry standard for compressed video representation with substantially increased coding efficiency and enhanced robustness to network environments. The H.264/AVC standard aims to enable significantly improved compression performance compared to all existing video coding standards. In this project we employ two schemes of coding transform coefficients namely exponential Golomb coding & context adaptive variable length coding (CAVLC).And the major part of the contribution is the decoding strategy applied for decoding which results in performance enhancement saving the memory and decoding time which are the most important factors for bandwidth utilization. The transform coefficients are obtained using a simple zigzag scan technique. The consensus among the major players of the communications and video industry on H.264 might provide the major thrust for this new standard.","PeriodicalId":13708,"journal":{"name":"International Conference on Advanced Nanomaterials & Emerging Engineering Technologies","volume":"48 1","pages":"607-612"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Advanced Nanomaterials & Emerging Engineering Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICANMEET.2013.6609386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
As the costs for both processing power and memory have reduced, network support for coded video data has diversified, and advances in video coding technology have progressed, the need has arisen for an industry standard for compressed video representation with substantially increased coding efficiency and enhanced robustness to network environments. The H.264/AVC standard aims to enable significantly improved compression performance compared to all existing video coding standards. In this project we employ two schemes of coding transform coefficients namely exponential Golomb coding & context adaptive variable length coding (CAVLC).And the major part of the contribution is the decoding strategy applied for decoding which results in performance enhancement saving the memory and decoding time which are the most important factors for bandwidth utilization. The transform coefficients are obtained using a simple zigzag scan technique. The consensus among the major players of the communications and video industry on H.264 might provide the major thrust for this new standard.