Lu Yang, M. O. Wildeboer, T. Yendo, M. P. Tehrani, T. Fujii, M. Tanimoto
{"title":"Reducing bitrates of compressed video with enhanced view synthesis for FTV","authors":"Lu Yang, M. O. Wildeboer, T. Yendo, M. P. Tehrani, T. Fujii, M. Tanimoto","doi":"10.1109/PCS.2010.5702575","DOIUrl":null,"url":null,"abstract":"View synthesis using depth maps is a well-known technique for exploiting the redundancy between multi-view videos. In this paper, we deal with the bitrates of view synthesis at the decoder side of FTV that would use compressed depth maps and views. Both inherent depth estimation error and coding distortion would degrade synthesis quality. The focus is to reduce bitrates required for generating the high-quality virtual view. We employ a reliable view synthesis method which is compared with standard MPEG view synthesis software. The experimental results show that the bitrates required for synthesizing high-quality virtual view could be reduced by utilizing our enhanced view synthesis technique to improve the PSNR at medium bitrates.","PeriodicalId":255142,"journal":{"name":"28th Picture Coding Symposium","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Picture Coding Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2010.5702575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
View synthesis using depth maps is a well-known technique for exploiting the redundancy between multi-view videos. In this paper, we deal with the bitrates of view synthesis at the decoder side of FTV that would use compressed depth maps and views. Both inherent depth estimation error and coding distortion would degrade synthesis quality. The focus is to reduce bitrates required for generating the high-quality virtual view. We employ a reliable view synthesis method which is compared with standard MPEG view synthesis software. The experimental results show that the bitrates required for synthesizing high-quality virtual view could be reduced by utilizing our enhanced view synthesis technique to improve the PSNR at medium bitrates.