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dc.contributor.authorHimawan, Ivan
dc.contributor.authorSong, Wei
dc.contributor.authorTjondronegoro, Dian
dc.date.accessioned2020-01-14T05:20:13Z
dc.date.available2020-01-14T05:20:13Z
dc.date.issued2017
dc.identifier.issn1380-7501
dc.identifier.doi10.1007/s11042-015-3054-y
dc.identifier.urihttp://hdl.handle.net/10072/390245
dc.description.abstractAt present, the most reliable method to obtain end-user perceived quality is through subjective tests. In this paper, the impact of automatic region-of-interest (ROI) coding on perceived quality of mobile video is investigated. The evidence, which is based on perceptual comparison analysis, shows that the coding strategy improves perceptual quality. This is particularly true in low bit rate situations. The ROI detection method used in this paper is based on two approaches: (1) automatic ROI by analyzing the visual contents automatically, and (2) eye-tracking based ROI by aggregating eye-tracking data across many users, used to both evaluate the accuracy of automatic ROI detection and the subjective quality of automatic ROI encoded video. The perceptual comparison analysis is based on subjective assessments with 54 participants, across different content types, screen resolutions, and target bit rates while comparing the two ROI detection methods. The results from the user study demonstrate that ROI-based video encoding has higher perceived quality compared to normal video encoded at a similar bit rate, particularly in the lower bit rate range.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofpagefrom785
dc.relation.ispartofpageto813
dc.relation.ispartofissue1
dc.relation.ispartofjournalMultimedia Tools and Applications
dc.relation.ispartofvolume76
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchSoftware engineering
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode4612
dc.subject.keywordsScience & Technology
dc.subject.keywordsComputer Science, Software Engineering
dc.subject.keywordsComputer Science, Theory & Methods
dc.titleImpact of automatic region-of-interest coding on perceived quality in mobile video
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationHimawan, I; Song, W; Tjondronegoro, D, Impact of automatic region-of-interest coding on perceived quality in mobile video, Multimedia Tools and Applications, 2017, 76 (1), pp. 785-813
dc.date.updated2020-01-14T05:16:13Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2017 Springer US. This is an electronic version of an article published in Multimedia Tools and Applications, 2017, Volume 76, Issue 1, pp 785–813. Multimedia Tools and Applications is available online at: http://link.springer.com/ with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.


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