{"title":"移动设备上HTTP自适应流的动态众包QoE研究","authors":"Michael Seufert, Nikolas Wehner, P. Casas","doi":"10.23919/TMA.2018.8506524","DOIUrl":null,"url":null,"abstract":"This demonstration introduces CroQoE, a new app for crowdsourced QoE studies of HTTP Adaptive Streaming. The app is running on the mobile device of the study participant and connects to a backend server to control the subjective QoE study. As video content is a crucial QoE factor, the proposed app allows the participant to submit keywords for topics or contents, which videos he wants to watch during the study. Matching videos are retrieved and prepared on the backend server, and the test conditions are included. Thereby, the user is able to watch interesting and relevant content during the QoE study.","PeriodicalId":6607,"journal":{"name":"2018 Network Traffic Measurement and Analysis Conference (TMA)","volume":"42 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"App for Dynamic Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices\",\"authors\":\"Michael Seufert, Nikolas Wehner, P. Casas\",\"doi\":\"10.23919/TMA.2018.8506524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This demonstration introduces CroQoE, a new app for crowdsourced QoE studies of HTTP Adaptive Streaming. The app is running on the mobile device of the study participant and connects to a backend server to control the subjective QoE study. As video content is a crucial QoE factor, the proposed app allows the participant to submit keywords for topics or contents, which videos he wants to watch during the study. Matching videos are retrieved and prepared on the backend server, and the test conditions are included. Thereby, the user is able to watch interesting and relevant content during the QoE study.\",\"PeriodicalId\":6607,\"journal\":{\"name\":\"2018 Network Traffic Measurement and Analysis Conference (TMA)\",\"volume\":\"42 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Network Traffic Measurement and Analysis Conference (TMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/TMA.2018.8506524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Network Traffic Measurement and Analysis Conference (TMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/TMA.2018.8506524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
App for Dynamic Crowdsourced QoE Studies of HTTP Adaptive Streaming on Mobile Devices
This demonstration introduces CroQoE, a new app for crowdsourced QoE studies of HTTP Adaptive Streaming. The app is running on the mobile device of the study participant and connects to a backend server to control the subjective QoE study. As video content is a crucial QoE factor, the proposed app allows the participant to submit keywords for topics or contents, which videos he wants to watch during the study. Matching videos are retrieved and prepared on the backend server, and the test conditions are included. Thereby, the user is able to watch interesting and relevant content during the QoE study.