Distortion-aware video communication with pipeline forwarding
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Cross-layer perceptual ARQ for video communications over 802.11e wireless networks
Advances in Multimedia
Perceptually enhanced ARQ for live video streaming over congested 802.11e networks
AIC'05 Proceedings of the 5th WSEAS International Conference on Applied Informatics and Communications
IEEE Transactions on Multimedia
Selective packet discard in mobile video delivery based on macroblock-based distortion estimation
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Distortion prediction for video quality optimization over packet switched networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A cost-effective cloud computing framework for accelerating multimedia communication simulations
Journal of Parallel and Distributed Computing
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This paper presents an analysis-by-synthesis technique to evaluate the perceptual importance of multimedia packets for rate-distortion optimized streaming. The proposed technique, instead of relying on a priori information, computes the distortion that would be caused by the loss of each single packet, including the effects of error propagation and receiver-side error concealment. A rate-distortion optimized streaming algorithm is presented to compare the perceptual performance obtained using content-adaptive analysis-by-synthesis distortion values versus distortion values obtained using a priori knowledge of the statistical importance of the elements of the compressed multimedia bitstream. Simulations with video test sequences compressed with the MPEG-2 coding standard show that the proposed technique delivers substantial and consistent PSNR gains (1.2-2.8 dB) with respect to ideal frame type-driven a priori distortion evaluation for a wide range of channel conditions. Compared to distortion-agnostic streaming techniques such as SoftARQ, the gain is even more pronounced.