{"title":"基于MMT的H.265/HEVC视频音频传输AL-FEC算法QoE比较","authors":"Toshiro Nunome, Koki Makino","doi":"10.18178/wcse.2020.02.016","DOIUrl":null,"url":null,"abstract":". This study assesses QoE of H.265/HEVC video and audio IP transmission over MMT with the two AL-FEC coding methods. We employ Reed-Solomon and Structured Low Density Parity Check. We perform multidimensional QoE assessment with three adjective pairs. We then find the appropriate selection of the coding method and the code rate according to the content and network condition can enhance QoE.","PeriodicalId":292895,"journal":{"name":"Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QoE Comparison of AL-FEC Algorithms on H.265/HEVC Video and Audio Transmission with MMT\",\"authors\":\"Toshiro Nunome, Koki Makino\",\"doi\":\"10.18178/wcse.2020.02.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". This study assesses QoE of H.265/HEVC video and audio IP transmission over MMT with the two AL-FEC coding methods. We employ Reed-Solomon and Structured Low Density Parity Check. We perform multidimensional QoE assessment with three adjective pairs. We then find the appropriate selection of the coding method and the code rate according to the content and network condition can enhance QoE.\",\"PeriodicalId\":292895,\"journal\":{\"name\":\"Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18178/wcse.2020.02.016\",\"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 of 2020 the 10th International Workshop on Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/wcse.2020.02.016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
QoE Comparison of AL-FEC Algorithms on H.265/HEVC Video and Audio Transmission with MMT
. This study assesses QoE of H.265/HEVC video and audio IP transmission over MMT with the two AL-FEC coding methods. We employ Reed-Solomon and Structured Low Density Parity Check. We perform multidimensional QoE assessment with three adjective pairs. We then find the appropriate selection of the coding method and the code rate according to the content and network condition can enhance QoE.