{"title":"Strategies for Improving the QoE Assessment over iTV Platforms Based on QoS Metrics","authors":"Diego J. Botia, Natalia Gaviria Gómez","doi":"10.1109/ISM.2012.98","DOIUrl":null,"url":null,"abstract":"For network operators (telcos) the quality assessment over multimedia services has become a hot topic in recent years. We propose a model to simplify the assessment and correlation metrics QoS/QoE over video services. We report the development of a methodology that use metrics Full Reference (FR) and Reduced Reference (RR), through network scenarios using QoS strategies (Diffserv). We used a multivariate correlation model and a model based on ANN as PSQA (Pseudo subjective Quality Assessment) for accurately predicting subjective quality MOS metric of the user, taking into account the QoS defined. Simulation experiments show values that are correlated nicely with each metric and allow validating QoE values adjusted for real user perception.","PeriodicalId":282528,"journal":{"name":"2012 IEEE International Symposium on Multimedia","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Symposium on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2012.98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For network operators (telcos) the quality assessment over multimedia services has become a hot topic in recent years. We propose a model to simplify the assessment and correlation metrics QoS/QoE over video services. We report the development of a methodology that use metrics Full Reference (FR) and Reduced Reference (RR), through network scenarios using QoS strategies (Diffserv). We used a multivariate correlation model and a model based on ANN as PSQA (Pseudo subjective Quality Assessment) for accurately predicting subjective quality MOS metric of the user, taking into account the QoS defined. Simulation experiments show values that are correlated nicely with each metric and allow validating QoE values adjusted for real user perception.