The new state-of-the-art video coding standard, H.265/HEVC, has been finalized in 2013 and it achieves roughly 50%
bit rate saving compared to its predecessor, H.264/MPEG-4 AVC. In this paper, two additional merge candidates,
advanced temporal motion vector predictor and spatial-temporal motion vector predictor, are developed to improve
motion information prediction scheme under the HEVC structure. The proposed method allows each Prediction Unit
(PU) to fetch multiple sets of motion information from multiple blocks smaller than the current PU. By splitting a large
PU into sub-PUs and filling motion information for all the sub-PUs of the large PU, signaling cost of motion information
could be reduced. This paper describes above-mentioned techniques in detail and evaluates their coding performance
benefits based on the common test condition during HEVC development. Simulation results show that 2.4%
performance improvement over HEVC can be achieved.
The new state-of-the-art video coding standard, H.265/HEVC, has been finalized in 2013 and it achieves roughly 50% bit rate saving compared to its predecessor, H.264/MPEG-4 AVC. This paper provides the evidence that there is still potential for further coding efficiency improvements. A brief overview of HEVC is firstly given in the paper. Then, our improvements on each main module of HEVC are presented. For instance, the recursive quadtree block structure is extended to support larger coding unit and transform unit. The motion information prediction scheme is improved by advanced temporal motion vector prediction, which inherits the motion information of each small block within a large block from a temporal reference picture. Cross component prediction with linear prediction model improves intra prediction and overlapped block motion compensation improves the efficiency of inter prediction. Furthermore, coding of both intra and inter prediction residual is improved by adaptive multiple transform technique. Finally, in addition to deblocking filter and SAO, adaptive loop filter is applied to further enhance the reconstructed picture quality. This paper describes above-mentioned techniques in detail and evaluates their coding performance benefits based on the common test condition during HEVC development. The simulation results show that significant performance improvement over HEVC standard can be achieved, especially for the high resolution video materials.
3D-AVC being developed under Joint Collaborative Team on 3D Video Coding (JCT-3V) significantly
outperforms the Multiview Video Coding plus Depth (MVC+D) which simultaneously encodes texture views
and depth views with the multiview extension of H.264/AVC (MVC). However, when the 3D-AVC is
configured to support multiview compatibility in which texture views are decoded without depth information,
the coding performance becomes significantly degraded. The reason is that advanced coding tools incorporated
into the 3D-AVC do not perform well due to the lack of a disparity vector converted from the depth information.
In this paper, we propose a disparity vector derivation method utilizing only the information of texture views.
Motion information of neighboring blocks is used to determine a disparity vector for a macroblock, so that the
derived disparity vector is efficiently used for the coding tools in 3D-AVC. The proposed method significantly
improves a coding gain of the 3D-AVC in the multiview compatible mode about 20% BD-rate saving in the
coded views and 26% BD-rate saving in the synthesized views on average.