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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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