Adarsh Krishnan Ramasubramonian

Overview of SHVC: Scalable Extensions of the High Efficiency Video Coding Standard

This paper provides an overview of Scalable High efficiency Video Coding (SHVC), the scalable extensions of the High Efficiency Video Coding (HEVC) standard, published in the second version of HEVC. In addition to the temporal scalability already provided by the first version of HEVC, SHVC further provides spatial, signal-to-noise ratio, bit depth, and color gamut scalability functionalities, as well as combinations of any of these. The SHVC architecture design enables SHVC implementations to be built using multiple repurposed single-layer HEVC codec cores, with the addition of interlayer reference picture processing modules. The general multilayer high-level syntax design common to all multilayer HEVC extensions, including SHVC, MV-HEVC, and 3D HEVC, is described. The interlayer reference picture processing modules, including texture and motion resampling and color mapping, are also described. Performance comparisons are provided for SHVC versus simulcast HEVC and versus the scalable video coding extension to H.264/advanced video coding.

High Dynamic Range Video Coding with Backward Compatibility

This paper presents a method for efficient compression of high dynamic range (HDR) and wide color gamut (WCG) video data. The proposed solution consists of two major elements: a conventional video codec (e.g., HEVC) and pre-and post-processing steps applied prior to encoding and after decoding process, respectively. The proposed HDR/WCG video coding system can be configured to provide two configurations: (1) a non-backward compatible bitstream with improved HDR video quality and (2) a SDR backward compatible bitstream with balanced visual quality between the reconstructed signal by the SDR and the HDR receivers. The simulations conducted under the MPEG Common Test Conditions for HDR demonstrate that the compression efficiency of the proposed solution outperforms the anchor solution on objective metrics. Additionally, subjective evaluations conducted under MPEG revealed improved visual quality for the proposed method.