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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22675

Title: A Pragmatically Designed Adaptive and Web-compliant Object-based Video Streaming Methodology: Implementation and Subjective Evaluation
Authors: Wijnants, Maarten
Rovelo Ruiz, Gustavo
Quax, Peter
Lamotte, Wim
Issue Date: 2016
Publisher: ACM
Citation: MM '16 Proceedings of the 2016 ACM on Multimedia Conference, ACM,p. 1267-1276
Abstract: The bulk of contemporary online video traffic is encoded in a traditional manner, hereby neglecting most, if not all, of the semantics of the underlying visual scene. One essential piece of semantic information in the context of video streaming is awareness of the objects that jointly constitute the scene. A canonical example of a benefit associated with such object awareness is the ability to subdivide a video fragment in respectively a background and one or more foreground objects. This paper reports on a pragmatically designed video streaming approach that exploits object-related knowledge in order to improve the real-time adaptability of video streaming sessions (manifested in the form of increased granularity in terms of streaming quality control). The proposed approach is completely compliant with present-day video codecs and HTTP Adaptive Streaming schemes, most notably H.264 and MPEG-DASH. Findings from subjecting the proposed video streaming technique to a comparative subjective evaluation suggest that scenarios exist where the presented approach holds the capacity to improve on traditional streaming in terms of user-perceived video quality.
Notes: Wijnants, M (reprint author), Hasselt Univ, tUL, iMinds, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium. maarten.wijnants@uhasselt.be; gustavo.rovelo@uhasselt.be; peter.quax@uhasselt.be; wim.lamotte@uhasselt.be
URI: http://hdl.handle.net/1942/22675
Link to publication: http://dl.acm.org/citation.cfm?id=2964300&CFID=680151690&CFTOKEN=37495422
DOI: 10.1145/2964284.2964300
ISI #: 000387733800108
ISBN: 9781450336031
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
Appears in Collections: Research publications

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