Robust real-time UHD video streaming system using scalable high efficiency video coding

Robust real-time UHD video streaming system using scalable high efficiency video coding With a new video coding standard high efficiency video coding (HEVC), the ultra high definition (UHD) TV service with robust video streaming technology is emerging in the TV industry. This paper addresses the system architecture for the UHD video streaming and proposes three main ideas: (i) picture prioritization method, (ii) error concealment mode signaling (ECMS), and (iii) Tile complexity-based parallel video processing. In the experiments using HEVC reference model conducted, the proposed picture prioritization method shows the gains in video quality from 2.2 to 7.5 dB in Y-PSNR, and the error concealment mode signaling gains from 0.2 to 2.5 dB in Y-PSNR, with corresponding subjective improvements. In addition, proposed parallel processing method for real-time decoding shows around 20% decoding speed up gain. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Robust real-time UHD video streaming system using scalable high efficiency video coding

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-017-4835-2
Publisher site
See Article on Publisher Site

Abstract

With a new video coding standard high efficiency video coding (HEVC), the ultra high definition (UHD) TV service with robust video streaming technology is emerging in the TV industry. This paper addresses the system architecture for the UHD video streaming and proposes three main ideas: (i) picture prioritization method, (ii) error concealment mode signaling (ECMS), and (iii) Tile complexity-based parallel video processing. In the experiments using HEVC reference model conducted, the proposed picture prioritization method shows the gains in video quality from 2.2 to 7.5 dB in Y-PSNR, and the error concealment mode signaling gains from 0.2 to 2.5 dB in Y-PSNR, with corresponding subjective improvements. In addition, proposed parallel processing method for real-time decoding shows around 20% decoding speed up gain.

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: May 24, 2017

References

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