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http://hdl.handle.net/1942/30318
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DC Field | Value | Language |
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dc.contributor.author | WIJNANTS, Maarten | - |
dc.contributor.author | COPPERS, Sven | - |
dc.contributor.author | ROVELO RUIZ, Gustavo | - |
dc.contributor.author | QUAX, Peter | - |
dc.contributor.author | LAMOTTE, Wim | - |
dc.date.accessioned | 2020-01-15T13:52:40Z | - |
dc.date.available | 2020-01-15T13:52:40Z | - |
dc.date.issued | 2019 | - |
dc.date.submitted | 2020-01-09T09:28:14Z | - |
dc.identifier.citation | Proceedings of the 27th ACM International Conference on Multimedia (MM ’19), ACM, p. 1035 -1037 | - |
dc.identifier.isbn | 9781450368896 | - |
dc.identifier.uri | http://hdl.handle.net/1942/30318 | - |
dc.description.abstract | Over-the-top (OTT) streaming services like YouTube and Netflix induce massive amounts of video data, hereby putting substantial pressure on network infrastructure. This paper describes a demonstration of the object-based video (OBV) methodology that allows for the quality-variant MPEG-DASH streaming of respectively the background and foreground object(s) of a video scene. The OBV methodology is inspired by research into human visual attention and foveated compression, in that it allows to adaptively and dynamically assign bitrate to those portions of the visual scene that have the highest utility in terms of perceptual quality. Using a content corpus of interview-like video footage, the described demonstration proves the OBV methodology's potential to downsize video bitrate requirements while incurring at most marginal perceptual impact (i.e., in terms of subjective video quality). Thanks to its standards-compliant Web implementation, the OBV methodology is directly and broadly deployable without requiring capital expenditure. | - |
dc.description.sponsorship | Maarten Wijnants is funded by a VLAIO Innovation Mandate (project number HBC.2016.0625), co-sponsored by Androme. Sven Coppers is funded by the Special Research Fund (BOF) of Hasselt University (R-8150). We thank Davy Vanacken for his methodological advice. | - |
dc.language.iso | en | - |
dc.publisher | ASSOC Computing Machinery | - |
dc.rights | 2019 Owner/Author | - |
dc.subject.other | video coding | - |
dc.subject.other | H.264 | - |
dc.subject.other | HTTP Adaptive Streaming | - |
dc.subject.other | MPEG-DASH | - |
dc.subject.other | subjective evaluation | - |
dc.subject.other | Web | - |
dc.title | Split & Dual Screen Comparison of Classic vs Object-based Video | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | October 21-25, 2019 | - |
local.bibliographicCitation.conferencename | the 27th ACM International Conference on Multimedia (MM ’19) | - |
local.bibliographicCitation.conferenceplace | Nice, France | - |
dc.identifier.epage | 1037 | - |
dc.identifier.spage | 1035 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | 1515 BROADWAY, NEW YORK, NY 10036-9998 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.source.type | Meeting | - |
dc.identifier.doi | 10.1145/3343031.3350582 | - |
dc.identifier.isi | WOS:000509743400119 | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Proceedings of the 27th ACM International Conference on Multimedia (MM ’19) | - |
item.accessRights | Restricted Access | - |
item.fullcitation | WIJNANTS, Maarten; COPPERS, Sven; ROVELO RUIZ, Gustavo; QUAX, Peter & LAMOTTE, Wim (2019) Split & Dual Screen Comparison of Classic vs Object-based Video. In: Proceedings of the 27th ACM International Conference on Multimedia (MM ’19), ACM, p. 1035 -1037. | - |
item.contributor | WIJNANTS, Maarten | - |
item.contributor | COPPERS, Sven | - |
item.contributor | ROVELO RUIZ, Gustavo | - |
item.contributor | QUAX, Peter | - |
item.contributor | LAMOTTE, Wim | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2022 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Wijnants_Maarten_2019.pdf Restricted Access | Published version | 1.02 MB | Adobe PDF | View/Open Request a copy |
3343031.3350582.pdf Restricted Access | Peer-reviewed author version | 1.02 MB | Adobe PDF | View/Open Request a copy |
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