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Proceedings Paper

Scalable extensions of HEVC for next generation services
Author(s): Kiran Misra; Andrew Segall; Jie Zhao; Seung-Hwan Kim
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Paper Abstract

The high efficiency video coding (HEVC) standard being developed by ITU-T VCEG and ISO/IEC MPEG achieves a compression goal of reducing the bitrate by half for the same visual quality when compared with earlier video compression standards such as H.264/AVC. It achieves this goal with the use of several new tools such as quad-tree based partitioning of data, larger block sizes, improved intra prediction, the use of sophisticated prediction of motion information, inclusion of an in-loop sample adaptive offset process etc. This paper describes an approach where the HEVC framework is extended to achieve spatial scalability using a multi-loop approach. The enhancement layer inter-predictive coding efficiency is improved by including within the decoded picture buffer multiple up-sampled versions of the decoded base layer picture. This approach has the advantage of achieving significant coding gains with a simple extension of the base layer tools such as inter-prediction, motion information signaling etc. Coding efficiency of the enhancement layer is further improved using adaptive loop filter and internal bit-depth increment. The performance of the proposed scalable video coding approach is compared to simulcast transmission of video data using high efficiency model version 6.1 (HM-6.1). The bitrate savings are measured using Bjontegaard Delta (BD) rate for a spatial scalability factor of 2 and 1.5 respectively when compared with simulcast anchors. It is observed that the proposed approach provides an average luma BD rate gains of 33.7% and 50.5% respectively.

Paper Details

Date Published: 21 February 2013
PDF: 15 pages
Proc. SPIE 8666, Visual Information Processing and Communication IV, 866607 (21 February 2013); doi: 10.1117/12.2009870
Show Author Affiliations
Kiran Misra, Sharp Labs. of America Inc. (United States)
Andrew Segall, Sharp Labs. of America Inc. (United States)
Jie Zhao, Sharp Labs. of America Inc. (United States)
Seung-Hwan Kim, Sharp Labs. of America Inc. (United States)

Published in SPIE Proceedings Vol. 8666:
Visual Information Processing and Communication IV
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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