{"title":"Context-adaptive mode selection for intra-block coding in H.264/MPEG-4 Part 10","authors":"Dong-Gyu Sim, Yongmin Kim","doi":"10.1016/j.rti.2004.12.003","DOIUrl":null,"url":null,"abstract":"<div><p>A new mode selection method for intra-block coding in the H.264/MPEG-4 part 10 video-coding standard is proposed. There are nine 4×4 and four 16×16 intra-prediction modes for intra-block coding. Thus, to find the best intra-block coding mode for a 16×16 macroblock, all of the 144 (16×9) 4×4 and four 16×16 intra-modes need to be exhaustively computed and evaluated. We propose a context-based intra-mode selection method, which uses neighbors’ mode information to alleviate this large computational burden. We have experimented the effectiveness of our proposed algorithm under various conditions.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"11 1","pages":"Pages 1-6"},"PeriodicalIF":0.0000,"publicationDate":"2005-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.12.003","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Real-Time Imaging","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1077201405000033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
A new mode selection method for intra-block coding in the H.264/MPEG-4 part 10 video-coding standard is proposed. There are nine 4×4 and four 16×16 intra-prediction modes for intra-block coding. Thus, to find the best intra-block coding mode for a 16×16 macroblock, all of the 144 (16×9) 4×4 and four 16×16 intra-modes need to be exhaustively computed and evaluated. We propose a context-based intra-mode selection method, which uses neighbors’ mode information to alleviate this large computational burden. We have experimented the effectiveness of our proposed algorithm under various conditions.