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Title: A scalable multi-view audiovisual entertainment framework with content-aware distribution
Authors: Ekmekcioglu, Erhan
Gunel, Banu
Dissanayake, Maheshi B.
Worrall, Stewart T.
Kondoz, Ahmet
Keywords: Multi-view video
Depth map
Multi channel audio
Scalable multi-view video coding
Attention modelling
Error resilient video coding
Issue Date: 2010
Publisher: © IEEE
Citation: EKMEKCIOGLU, E. ... et al., 2010. A scalable multi-view audiovisual entertainment framework with content-aware distribution. IN: Proceedings of 2010 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, China, 26-29 September 2010, pp.2401-2404.
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.
Description: Closed access.
Sponsor: This work has been supported by the DIOMEDES project, funded under the European Commission ICT 7th Framework Programme.
Version: Published
DOI: 10.1109/ICIP.2010.5651107
URI: https://dspace.lboro.ac.uk/2134/22788
Publisher Link: http://dx.doi.org/10.1109/ICIP.2010.5651107
ISBN: 9781424479948
ISSN: 1522-4880
Appears in Collections:Closed Access (Loughborough University London)

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