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dc.contributor.authorSong, Wei
dc.contributor.authorTjondronegoro, Dian W
dc.date.accessioned2020-01-14T05:53:00Z
dc.date.available2020-01-14T05:53:00Z
dc.date.issued2014
dc.identifier.issn1520-9210
dc.identifier.doi10.1109/TMM.2014.2298217
dc.identifier.urihttp://hdl.handle.net/10072/390251
dc.description.abstractQuality of experience (QoE) measures the overall perceived quality of mobile video delivery from subjective user experience and objective system performance. Current QoE prediction models have two main limitations: (1) insufficient consideration of the factors influencing QoE, and (2) limited studies on QoE models for acceptability prediction. In this paper, a set of novel acceptability-based QoE models, denoted as A-QoE, is proposed based on the results of comprehensive user studies on subjective quality acceptance assessments. The models are able to predict users' acceptability and pleasantness in various mobile video usage scenarios. Statistical nonlinear regression analysis has been used to build the models with a group of influencing factors as independent predictors, which include encoding parameters and bitrate, video content characteristics, and mobile device display resolution. The performance of the proposed A-QoE models has been compared with three well-known objective Video Quality Assessment metrics: PSNR, SSIM and VQM. The proposed A-QoE models have high prediction accuracy and usage flexibility. Future user-centred mobile video delivery systems can benefit from applying the proposed QoE-based management to optimize video coding and quality delivery strategies.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofpagefrom738
dc.relation.ispartofpageto750
dc.relation.ispartofissue3
dc.relation.ispartofjournalIEEE Transactions on Multimedia
dc.relation.ispartofvolume16
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.subject.keywordsScience & Technology
dc.subject.keywordsComputer Science, Information Systems
dc.subject.keywordsComputer Science, Software Engineering
dc.subject.keywordsTelecommunications
dc.titleAcceptability-Based QoE Models for Mobile Video
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationSong, W; Tjondronegoro, DW, Acceptability-Based QoE Models for Mobile Video, IEEE Transactions on Multimedia , 2014, 16 (3), pp. 738-750
dc.date.updated2020-01-14T05:49:19Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.


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