{"title":"QOE evaluation of video services considering users' behavior","authors":"Jiarun Song, Fuzheng Yang, Shuai Wan","doi":"10.1109/ICMEW.2014.6890558","DOIUrl":null,"url":null,"abstract":"Various factor in the communication ecosystem are acting together on the final experience of the users who use the related video services. In this paper, the joint effect in both the technology and the human domain is considered and incorporated to evaluate the users' quality of experience (QoE) with respect to the IPTV service. Here the parameters of the video quality, the watching duration, the duration of fast forward, and the times of fast forward, etc, are collected and combined to establish the objective model for accurate QoE prediction. Experimental results show that the proposed model can well estimate the quality of users' experience.","PeriodicalId":178700,"journal":{"name":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEW.2014.6890558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Various factor in the communication ecosystem are acting together on the final experience of the users who use the related video services. In this paper, the joint effect in both the technology and the human domain is considered and incorporated to evaluate the users' quality of experience (QoE) with respect to the IPTV service. Here the parameters of the video quality, the watching duration, the duration of fast forward, and the times of fast forward, etc, are collected and combined to establish the objective model for accurate QoE prediction. Experimental results show that the proposed model can well estimate the quality of users' experience.