Evaluation of in-network adaptation of scalable high efficiency video coding (SHVC) in mobile environments

James Nightingale; Qi Wang; Christos Grecos; Sergio Goma

doi:10.1117/12.2036721

18 February 2014 Evaluation of in-network adaptation of scalable high efficiency video coding (SHVC) in mobile environments

James Nightingale, Qi Wang, Christos Grecos, Sergio Goma

Author Affiliations +

Proceedings Volume 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014; 90300B (2014) https://doi.org/10.1117/12.2036721
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

High Efficiency Video Coding (HEVC), the latest video compression standard (also known as H.265), can deliver video streams of comparable quality to the current H.264 Advanced Video Coding (H.264/AVC) standard with a 50% reduction in bandwidth. Research into SHVC, the scalable extension to the HEVC standard, is still in its infancy. One important area for investigation is whether, given the greater compression ratio of HEVC (and SHVC), the loss of packets containing video content will have a greater impact on the quality of delivered video than is the case with H.264/AVC or its scalable extension H.264/SVC. In this work we empirically evaluate the layer-based, in-network adaptation of video streams encoded using SHVC in situations where dynamically changing bandwidths and datagram loss ratios require the real-time adaptation of video streams. Through the use of extensive experimentation, we establish a comprehensive set of benchmarks for SHVC-based highdefinition video streaming in loss prone network environments such as those commonly found in mobile networks. Among other results, we highlight that packet losses of only 1% can lead to a substantial reduction in PSNR of over 3dB and error propagation in over 130 pictures following the one in which the loss occurred. This work would be one of the earliest studies in this cutting-edge area that reports benchmark evaluation results for the effects of datagram loss on SHVC picture quality and offers empirical and analytical insights into SHVC adaptation to lossy, mobile networking conditions.

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James Nightingale, Qi Wang, Christos Grecos, and Sergio Goma "Evaluation of in-network adaptation of scalable high efficiency video coding (SHVC) in mobile environments", Proc. SPIE 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014, 90300B (18 February 2014); https://doi.org/10.1117/12.2036721

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