Yi Han, Chenxi Yu, Dongdong Li, Jie Zhang, Yunqiao Lai
{"title":"Accuracy Analysis on 360° Virtual Reality Video Quality Assessment Methods","authors":"Yi Han, Chenxi Yu, Dongdong Li, Jie Zhang, Yunqiao Lai","doi":"10.1109/UCC48980.2020.00065","DOIUrl":null,"url":null,"abstract":"Due to the rapid development of telecommunication technology, the application of 360° video is increasingly gaining attention. For the design of the 360° video transmission mechanism, quality of experience (QoE) from the customer’s perspective is very important. This study can help the readers to understand advantages/limitations of different 360° video quality assessment methods and be able to make suitable choices for various systems. To make it clearer, this paper performs experiments with two steps. Experiment I compares different assessment methods for evaluating 360° video quality selected from online and offline methods, respectively. Experiment II studies the performance of these assessment methods on different video quality levels. The results show that both offline and online test results have a relatively good correlation with the subjective test results. This paper statistically evaluates and compares the accuracy of different 360° video QoE assessment methods and the conclusion drawn from this paper can be used as a guideline when designing adaptive 360° video streaming systems and can also be applied to cloud computing in the future work.","PeriodicalId":125849,"journal":{"name":"2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCC48980.2020.00065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Due to the rapid development of telecommunication technology, the application of 360° video is increasingly gaining attention. For the design of the 360° video transmission mechanism, quality of experience (QoE) from the customer’s perspective is very important. This study can help the readers to understand advantages/limitations of different 360° video quality assessment methods and be able to make suitable choices for various systems. To make it clearer, this paper performs experiments with two steps. Experiment I compares different assessment methods for evaluating 360° video quality selected from online and offline methods, respectively. Experiment II studies the performance of these assessment methods on different video quality levels. The results show that both offline and online test results have a relatively good correlation with the subjective test results. This paper statistically evaluates and compares the accuracy of different 360° video QoE assessment methods and the conclusion drawn from this paper can be used as a guideline when designing adaptive 360° video streaming systems and can also be applied to cloud computing in the future work.