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dc.contributor.authorXiao JM
dc.contributor.authorHannuksela MM
dc.contributor.authorTillo T
dc.contributor.authorGabbouj M
dc.contributor.editor
dc.date.accessioned2018-08-02T09:40:18Z
dc.date.available2018-08-02T09:40:18Z
dc.date.issued2015
dc.identifier.isbn978-3-319-24077-0
dc.identifier.issn0302-9743
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-24078-7_41
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-319-24078-7_41
dc.identifier.urihttp://hdl.handle.net/10863/5460
dc.description.abstractHTTP-based delivery for Video on Demand (VoD) has been gaining popularity within recent years. With the recently proposed Dynamic Adaptive Streaming over HTTP (DASH), video clients may dynamically adapt the requested video quality and bitrate to match their current download rate. To avoid playback interruption, DASH clients attempt to keep the buffer occupancy above a certain minimum level. This mechanism works well for the single view video streaming. For multi-view video streaming application over DASH, the user originates view switching and that only one view of multi-view content is played by a DASH client at a given time. For such applications, it is an open problem how to exploit the buffered video data during the view switching process. In this paper, we propose two fast and efficient view switching approaches in the paradigm of DASH systems, which fully exploit the already buffered video data. The advantages of the proposed approaches are twofold. One is that the view switching delay will be short. The second advantage is that the rate-distortion performance during the view switching period will be high, i.e., using less request data to achieve comparable video playback quality. The experimental results demonstrate the effectiveness of the proposed method.en_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.rights
dc.subjectDASHen_US
dc.subjectInter-view predictionen_US
dc.subjectView switchen_US
dc.subjectHTTPen_US
dc.subjectMulti-viewen_US
dc.titleA Paradigm for Dynamic Adaptive Streaming over HTTP for Multi-view Videoen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-30T11:38:57Z
dc.publication.titleAdvances in Multimedia Information Processing: PCM 2015
dc.language.isiEN-GB
dc.description.fulltextreserveden_US


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