dc.contributor.author | Zhang, R | |
dc.contributor.author | Zhang, X | |
dc.contributor.author | Guo, P | |
dc.contributor.author | Fan, Q | |
dc.contributor.author | Yin, H | |
dc.contributor.author | Ma, Z | |
dc.date.accessioned | 2021-12-06T11:22:37Z | |
dc.date.issued | 2021-12-22 | |
dc.date.updated | 2021-12-06T10:36:55Z | |
dc.description.abstract | With the rising popularity of video streaming services, Quality of Experience (QoE) acts as the crucial role in improving user’s experience. Distinguished from Quality of Service (QoS), which mainly weigh the video streaming quality with network transmission performance, QoE focuses on the subjective and user-oriented assessment when users views the videos online. It is a vital issue for online streaming to ensure a user-satisfied transmission under dynamic network. This highlights the need for an accurate and feasible QoE model to balance the user experience and available transmission bandwidth. This paper summaries and analyzes existing explorations on QoE models for online video streaming, especially with the advancement on emerged learning-based models, to promote the development of this research field. | en_GB |
dc.description.sponsorship | National Key Research and Development Program of China | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.description.sponsorship | National Natural Science Foundation of China (NSFC) | en_GB |
dc.description.sponsorship | Natural Science Foundation of Jiangsu | en_GB |
dc.description.sponsorship | Leading Technology of Jiangsu Basic Research Plan | en_GB |
dc.description.sponsorship | Chongqing Key Laboratory of Digital Cinema Art Theory and Technology | en_GB |
dc.identifier.citation | 20th International Conference on Ubiquitous Computing and Communications (IUCC-2021), 20 - 22 December 2021, London, UK. Virtual. | en_GB |
dc.identifier.grantnumber | 2018YFB2100804 | en_GB |
dc.identifier.grantnumber | 898588 | en_GB |
dc.identifier.grantnumber | 61902178 | en_GB |
dc.identifier.grantnumber | 62102053 | en_GB |
dc.identifier.grantnumber | 92067206 | en_GB |
dc.identifier.grantnumber | 61972222 | en_GB |
dc.identifier.grantnumber | BK20190295 | en_GB |
dc.identifier.grantnumber | BK20192003 | en_GB |
dc.identifier.grantnumber | 2021KF01 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/128035 | |
dc.language.iso | en | en_GB |
dc.publisher | International Conference on Ubiquitous Computing and Communications (IUCC-2021) | en_GB |
dc.relation.url | https://hpcn.exeter.ac.uk/iucc2021 | en_GB |
dc.rights.embargoreason | Under embargo until close of conference | en_GB |
dc.rights | © International Conference on Ubiquitous Computing and Communications (IUCC) | en_GB |
dc.title | QoE Models for Online Video Streaming | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2021-12-06T11:22:37Z | |
exeter.location | London, UK | |
dc.description | This is the author accepted manuscript. | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2021-11-11 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2021-12-22 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_GB |
refterms.dateFCD | 2021-12-06T10:36:57Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-12-23T00:00:00Z | |
refterms.panel | B | en_GB |
pubs.name-of-conference | the 20th International Conference on Ubiquitous Computing and Communications | |