A scalable multi view audiovisual entertainment framework with content aware distribution

Date

2010-09-29

Author

Ekmekçioğlu, Erhan
Günel Kılıç, Banu
Dissanayake, Maheshi
Worral, Stewart
Kondoz, Ahmet

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Multi-view video; depth map; multi channel audio; scalable multi-view video coding; attention modelling; error resilient video coding, Multi-view video, Depth map, Error resilient video coding, Attention modelling, Scalable multi-view video coding, Multi channel audio

URI

https://hdl.handle.net/11511/30699

DOI

https://doi.org/10.1109/icip.2010.5651107

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

E. Ekmekçioğlu, B. Günel Kılıç, M. Dissanayake, S. Worral, and A. Kondoz, “A scalable multi view audiovisual entertainment framework with content aware distribution,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30699.