Mr. Seung-Hwan Kim Profile

Seung-Hwan Kim

at Sharp Labs of America

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Proceedings Article | 22 September 2015 Paper

HEVC for high dynamic range services

Seung-Hwan Kim, Jie Zhao, Kiran Misra, Andrew Segall

Proceedings Volume 9599, 95990C (2015) https://doi.org/10.1117/12.2188609

KEYWORDS: Video coding, High dynamic range imaging, Video, Video compression, Computer programming, Televisions, Semantic video, Distortion, CRTs, RGB color model

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Displays capable of showing a greater range of luminance values can render content containing high dynamic range information in a way such that the viewers have a more immersive experience. This paper introduces the design aspects of a high dynamic range (HDR) system, and examines the performance of the HDR processing chain in terms of compression efficiency. Specifically it examines the relation between recently introduced Society of Motion Picture and Television Engineers (SMPTE) ST 2084 transfer function and the High Efficiency Video Coding (HEVC) standard. SMPTE ST 2084 is designed to cover the full range of an HDR signal from 0 to 10,000 nits, however in many situations the valid signal range of actual video might be smaller than SMPTE ST 2084 supported range. The above restricted signal range results in restricted range of code values for input video data and adversely impacts compression efficiency. In this paper, we propose a code value remapping method that extends the restricted range code values into the full range code values so that the existing standards such as HEVC may better compress the video content. The paper also identifies related non-normative encoder-only changes that are required for remapping method for a fair comparison with anchor. Results are presented comparing the efficiency of the current approach versus the proposed remapping method for HM-16.2.

Proceedings Article | 21 February 2013 Paper

Scalable extensions of HEVC for next generation services

Kiran Misra, Andrew Segall, Jie Zhao, Seung-Hwan Kim

Proceedings Volume 8666, 866607 (2013) https://doi.org/10.1117/12.2009870

KEYWORDS: Video, Scalable video coding, Spatial resolution, Image processing, Video coding, Signal processing, Computer programming, Standards development, Resolution enhancement technologies, Electroluminescence

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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.

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