{"title":"可扩展的视频编码,无故障的视频传输","authors":"Pol-Lin Tai, Chii-Tung Liu, Jia-Shung Wang","doi":"10.1109/ITCC.2001.918762","DOIUrl":null,"url":null,"abstract":"The authors propose a scalable video coding algorithm for low bit rate failure-free video transmission. In the failure-free video transmission, two channels are utilized to transmit the same video source. In the receiver, the video can be reconstructed by any single encoded bitstream. While receiving two encoded bitstreams, the image quality can be improved by combining two bitstreams. We develop a motion vector refinement technique to improve the image quality. In the encoder, the positions of the macroblocks for channel two are shifted by eight pixels from channel one. In the receiver, the motion vectors transmitted in each channel can be refined to more accurate motion vectors with smaller block size when two channels are received. The final decoded image is merged from the two reconstructed images by the two channels. Experimental results show our proposed method has high efficiency and high reliability.","PeriodicalId":318295,"journal":{"name":"Proceedings International Conference on Information Technology: Coding and Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scalable video coding for failure-free video transmission\",\"authors\":\"Pol-Lin Tai, Chii-Tung Liu, Jia-Shung Wang\",\"doi\":\"10.1109/ITCC.2001.918762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors propose a scalable video coding algorithm for low bit rate failure-free video transmission. In the failure-free video transmission, two channels are utilized to transmit the same video source. In the receiver, the video can be reconstructed by any single encoded bitstream. While receiving two encoded bitstreams, the image quality can be improved by combining two bitstreams. We develop a motion vector refinement technique to improve the image quality. In the encoder, the positions of the macroblocks for channel two are shifted by eight pixels from channel one. In the receiver, the motion vectors transmitted in each channel can be refined to more accurate motion vectors with smaller block size when two channels are received. The final decoded image is merged from the two reconstructed images by the two channels. Experimental results show our proposed method has high efficiency and high reliability.\",\"PeriodicalId\":318295,\"journal\":{\"name\":\"Proceedings International Conference on Information Technology: Coding and Computing\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Information Technology: Coding and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCC.2001.918762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Information Technology: Coding and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2001.918762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scalable video coding for failure-free video transmission
The authors propose a scalable video coding algorithm for low bit rate failure-free video transmission. In the failure-free video transmission, two channels are utilized to transmit the same video source. In the receiver, the video can be reconstructed by any single encoded bitstream. While receiving two encoded bitstreams, the image quality can be improved by combining two bitstreams. We develop a motion vector refinement technique to improve the image quality. In the encoder, the positions of the macroblocks for channel two are shifted by eight pixels from channel one. In the receiver, the motion vectors transmitted in each channel can be refined to more accurate motion vectors with smaller block size when two channels are received. The final decoded image is merged from the two reconstructed images by the two channels. Experimental results show our proposed method has high efficiency and high reliability.