{"title":"联合视频/深度/FEC速率分配，考虑可扩展3D视频流的3D视觉显着性","authors":"Yanwei Liu, Jinxia Liu, S. Ci, Yun Ye","doi":"10.1109/VCIP.2013.6706339","DOIUrl":null,"url":null,"abstract":"For robust video plus depth based 3D video streaming, video, depth and packet-level forward error correction (FEC) can provide many rate combinations with various 3D visual qualities to adapt to the dynamic channel conditions. Video/depth/FEC rate allocation under the channel bandwidth constraint is an important optimization problem for robust 3D video streaming. This paper proposes a joint video/depth/FEC rate allocation method by maximizing the receiver's 3D visual quality. Through predicting the perceptual 3D visual qualities of the different video/depth/FEC rate combinations, the optimal GOP-level video/depth/FEC rate combination can be found. Further, the selected FEC rates are unequally assigned to different levels of 3D saliency regions within each video/depth frame. The effectiveness of the proposed 3D saliency based joint video/depth/FEC rate allocation method for scalable 3D video streaming is validated by extensive experimental results.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Joint video/depth/FEC rate allocation with considering 3D visual saliency for scalable 3D video streaming\",\"authors\":\"Yanwei Liu, Jinxia Liu, S. Ci, Yun Ye\",\"doi\":\"10.1109/VCIP.2013.6706339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For robust video plus depth based 3D video streaming, video, depth and packet-level forward error correction (FEC) can provide many rate combinations with various 3D visual qualities to adapt to the dynamic channel conditions. Video/depth/FEC rate allocation under the channel bandwidth constraint is an important optimization problem for robust 3D video streaming. This paper proposes a joint video/depth/FEC rate allocation method by maximizing the receiver's 3D visual quality. Through predicting the perceptual 3D visual qualities of the different video/depth/FEC rate combinations, the optimal GOP-level video/depth/FEC rate combination can be found. Further, the selected FEC rates are unequally assigned to different levels of 3D saliency regions within each video/depth frame. The effectiveness of the proposed 3D saliency based joint video/depth/FEC rate allocation method for scalable 3D video streaming is validated by extensive experimental results.\",\"PeriodicalId\":407080,\"journal\":{\"name\":\"2013 Visual Communications and Image Processing (VCIP)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Visual Communications and Image Processing (VCIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VCIP.2013.6706339\",\"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 Visual Communications and Image Processing (VCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP.2013.6706339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint video/depth/FEC rate allocation with considering 3D visual saliency for scalable 3D video streaming
For robust video plus depth based 3D video streaming, video, depth and packet-level forward error correction (FEC) can provide many rate combinations with various 3D visual qualities to adapt to the dynamic channel conditions. Video/depth/FEC rate allocation under the channel bandwidth constraint is an important optimization problem for robust 3D video streaming. This paper proposes a joint video/depth/FEC rate allocation method by maximizing the receiver's 3D visual quality. Through predicting the perceptual 3D visual qualities of the different video/depth/FEC rate combinations, the optimal GOP-level video/depth/FEC rate combination can be found. Further, the selected FEC rates are unequally assigned to different levels of 3D saliency regions within each video/depth frame. The effectiveness of the proposed 3D saliency based joint video/depth/FEC rate allocation method for scalable 3D video streaming is validated by extensive experimental results.
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