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Visual attention model-aided non-uniform asymmetric coding of stereoscopic video

journal contribution
posted on 2016-10-10, 08:42 authored by Erhan Ekmekcioglu, Demuni V.S.X. De Silva, Peter Tho Pesch, Ahmet Kondoz
Owing to its wide-interoperability, stereoscopic 3D video format in High Definition (HD) is a popular choice for 3D entertainment media distribution. However, the delivery over bandwidth constrained networks exhibits challenges in terms of intermittent congestions in the network traffic, which enforce the delivery system to perform perception-aware coding to save bandwidth. In the scope of stereoscopic 3D video, asymmetric quality adaptation has proved to be an effective method in terms of maintaining the perceived quality while reducing the required transmission bandwidth. On the other hand, Region-Of-Interest (ROI) based coding in accordance with the visual attention cues, which offers non-uniform quality assignment to regions of different saliency levels has not been widely studied in combination with asymmetric coding of stereoscopic 3D video. In this work, the effectiveness of using visual attention aided non-uniform asymmetric 3D video coding is explored. The importance of incorporating compression artefacts in the formulation of visual attention model is also revealed. The discussions in this paper are based on a comprehensive subjective test with 8 stereoscopic video sequences of different spatial and temporal characteristics at different conditions.

History

School

  • Loughborough University London

Citation

EKMEKCIOGLU, E. ... et al., 2014. Visual attention model-aided non-uniform asymmetric coding of stereoscopic video. IEEE Journal of Selected Topics in Signal Processing, 8 (3), pp.402-414.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

Closed access.

ISSN

1932-4553

eISSN

1941-0484

Language

  • en

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