Patrice Onno

Palette-Based Coding in the Screen Content Coding Extension of the HEVC Standard

This paper provides a technical overview of palette-based coding that was adopted into the test model for the screen content coding (SCC) extension of High Efficiency Video Coding (HEVC) standard at the 18th JCT-VC meeting. Key techniques that enable the palette mode to deliver significant coding gains for screen contents are highlighted, including palette table generation, palette table coding, and the coding methods for palette indices and escape colors. Proposed and adopted techniques up to the first version of the working draft of HEVC SCC extension and test model SCM-2.0 are presented. Experimental results are provided to evaluate the performance of the palette mode in the SCC extension of HEVC.

Exploration of Generalized Residual Prediction in scalable HEVC

After having issued the version 1 of the new video coding standard HEVC, ISO-MPEG and ITU-T VCEG groups are specifying its scalable extension. The candidate schemes are based on a multi-layer multi-loop coding framework, exploiting inter-layer texture and motion prediction and full base layer picture decoding. Several inter-layer prediction tools have been explored, implemented either using high-level syntax or block-level core HEVC design changes. One of these tools, Generalized Residual Prediction (GRP), has been extensively studied during several meeting cycles. It is based on second order residual prediction, exploiting motion compensation prediction residual in the base layer. This paper is focused on this new mode. The principle of GRP is described with an analysis of several implementation variants completed by a complexity analysis. Performance of these different implementations is provided, showing that noticeable gains can be obtained without significant complexity increase compared to a simple scalable design comprising only texture and motion inter-layer prediction.

Modified sample adaptive offset filtering as an inter-layer processing for scalable HEVC

This paper presents an inter-layer filtering technique to improve the coding efficiency of the emerging SHVC scalable video coding standard. This filtering method is based on the Sample Adaptive Offset (SAO) tool introduced in the HEVC video coding standard. The original SAO filtering technique is slightly modified and applied to filter the HEVC base layer so as to improve the prediction of the enhancement layer. Based on the testing conditions of the SHVC standardization process, the results of this SAO inter-layer processing compared to the SHVC reference software show a noticeable improvement of the coding efficiency for the enhancement layer.