M. Fiedler, H. Zepernick, L. Lundberg, P. Arlos, M. Pettersson
{"title":"QoE-based Cross-Layer Design of Mobile Video Systems: Challenges and Concepts","authors":"M. Fiedler, H. Zepernick, L. Lundberg, P. Arlos, M. Pettersson","doi":"10.1109/RIVF.2009.5174655","DOIUrl":null,"url":null,"abstract":"This conceptual paper focuses on revealing challenges and offering concepts associated with the incorporation of the quality of experience (QoE) paradigm into the design of mobile video systems. The corresponding design framework combines application, middleware and networking layer in a unique cross-layer approach, in which all layers shall jointly analyse the quality of the video and its delivery in face of volatile conditions. Particular ingredients of the framework are efficient video processing, advanced realtime scheduling, and reduced-reference metrics on application and network layer.","PeriodicalId":243397,"journal":{"name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2009.5174655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This conceptual paper focuses on revealing challenges and offering concepts associated with the incorporation of the quality of experience (QoE) paradigm into the design of mobile video systems. The corresponding design framework combines application, middleware and networking layer in a unique cross-layer approach, in which all layers shall jointly analyse the quality of the video and its delivery in face of volatile conditions. Particular ingredients of the framework are efficient video processing, advanced realtime scheduling, and reduced-reference metrics on application and network layer.