DocumentCode :
3327195
Title :
A scalable multi-view audiovisual entertainment framework with content-aware distribution
Author :
Ekmekcioglu, Erhan ; Günel, Banu ; Dissanayake, Maheshi ; Worrall, Stewart T. ; Kondoz, Ahmet M.
Author_Institution :
I-Lab. Multimedia Commun. Res. Group, Univ. of Surrey, Guildford, UK
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
2401
Lastpage :
2404
Abstract :
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of different displays. Support of such displays may require different numbers of views, delivered over time varying networks. This requires a delivery scheme featuring scalable compression to adapt to varying network conditions, and error resiliency to overcome disturbing losses in the 3D perception. Audio and video attention models can be used in designing an optimal content-aware compression and transmission scheme, by prioritizing the most visually important areas of the video. This paper gives an overview of a content-aware, scalable multi-view audiovisual entertainment delivery framework. Results are shown to evaluate the kinds of error robustness improvements that could be seen using such a system.
Keywords :
audio coding; data compression; multimedia communication; three-dimensional displays; three-dimensional television; time-varying networks; video coding; 3D immersive entertainment; audio attention model; content aware distribution; error resiliency; error robustness; optimal content aware compression; optimal content aware transmission; scalable compression; scalable multiview audiovisual entertainment; time varying networks; video attention model; Conferences; IP networks; Image coding; Redundancy; Streaming media; Three dimensional displays; Video coding; Multi-view video; attention modelling; depth map; error resilient video coding; multi channel audio; scalable multi-view video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5651107
Filename :
5651107
Link To Document :
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