{"title":"最优FEC码率决策的联合信信道失真模型","authors":"Tae-jun Jung, Kwang-deok Seo, Yo-Won Jeong","doi":"10.1109/ICOIN.2014.6799737","DOIUrl":null,"url":null,"abstract":"The optimal FEC code rate decision is a crucial procedure to determine the optimal source and channel coding rates to minimize the overall picture distortion when transporting video packets over packet loss channels. To avoid the complex modeling procedure, we propose a simple but accurate joint source-channel distortion model to estimate channel loss threshold set for optimal FEC code rate decision.","PeriodicalId":388486,"journal":{"name":"The International Conference on Information Networking 2014 (ICOIN2014)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint source-channel distortion model for optimal FEC code rate decision\",\"authors\":\"Tae-jun Jung, Kwang-deok Seo, Yo-Won Jeong\",\"doi\":\"10.1109/ICOIN.2014.6799737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The optimal FEC code rate decision is a crucial procedure to determine the optimal source and channel coding rates to minimize the overall picture distortion when transporting video packets over packet loss channels. To avoid the complex modeling procedure, we propose a simple but accurate joint source-channel distortion model to estimate channel loss threshold set for optimal FEC code rate decision.\",\"PeriodicalId\":388486,\"journal\":{\"name\":\"The International Conference on Information Networking 2014 (ICOIN2014)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Conference on Information Networking 2014 (ICOIN2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN.2014.6799737\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Conference on Information Networking 2014 (ICOIN2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2014.6799737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint source-channel distortion model for optimal FEC code rate decision
The optimal FEC code rate decision is a crucial procedure to determine the optimal source and channel coding rates to minimize the overall picture distortion when transporting video packets over packet loss channels. To avoid the complex modeling procedure, we propose a simple but accurate joint source-channel distortion model to estimate channel loss threshold set for optimal FEC code rate decision.