This paper proposes a filter for video coding in Hadamard transform domain. The filter is applied to decoded samples at the block level directly after reconstruction. The filter parameters are derived from the coded information depending on quantization parameter (QP) avoiding additional signaling overhead. The filter is designed in hardware friendly manner targeting to exclude multiplication and division operations by using look-up table (LUT). Total LUT size is 70 bytes where only 16 of them are required for one block filtering with certain QP. That allows to keep required loop-up table in one 128- bit register which is beneficial for SIMD software implementation. The method was tested on top of VTM2.0 according to the JVET common test conditions. The experimental results demonstrated 0.7% of bitrate reduction with 3% of encoding time and 1% of decoding time increase.
In this paper we propose a non-local in-loop filter for video coding called Noise Suppression Filter (NSF). The filter is based on block matching procedure and performs video signal filtering in a transform domain. Filter parameters are derived from a reconstructed signal and do not require additional signaling. NSF can be applied to both luma and chroma components or for luma component only to decrease the complexity. Experimental results shows that the for random access configuration applying NSF for luma and chroma components provides 1.0%, 2.0% and 1.9% of BD-rate saving for Y, Cb and Cr components correspondently with 100% encoding time and 134% decoding time compared to VTM 1.0. For lumaonly NSF demonstrates 1.0% Y BD-rate saving with 100% encoding time and 123% decoding time.
MPEG-5 Essential Video Coding Standard is currently being prepared as the video coding standard of ISO/IEC Moving Picture Experts Group. The main goal of the EVC standard development is to provide a significantly improved compression capability over existing video coding standards with timely publication of availability terms. This paper provides an overview of the feature and the characteristics of the MPEG-5 EVC standard.
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.
Transform coefficient coding in HEVC encompasses the scanning patterns and the coding methods for the last significant coefficient, significance map, coefficient levels and sign data. Unlike H.264/AVC, HEVC has a single entropy coding mode based on the context adaptive binary arithmetic coding (CABAC) engine. Due to this, achieving high throughput for transform coefficient coding was an important design consideration. This paper analyzes the throughput of different components of transform coefficient coding with special emphasis on the explicit coding of the last significant coefficient position and high throughput binarization. A comparison with H.264/AVC transform coefficient coding is also presented, demonstrating that HEVC transform coefficient coding achieves higher average and worst case throughput.