scholarly journals Spatial Correlation-Based Motion-Vector Prediction for Video-Coding Efficiency Improvement

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 129 ◽  
Author(s):  
Xiantao Jiang ◽  
Tian Song ◽  
Takafumi Katayama ◽  
Jenq-Shiou Leu
Keyword(s):  
Video Coding ◽  
Spatial Correlation ◽  
Video Quality ◽  
Motion Vector ◽  
Prediction Algorithm ◽  
Computation Complexity ◽  
Coding Efficiency ◽  
Depth Prediction ◽  
Motion Vector Prediction ◽  
Coding Unit

H.265/HEVC achieves an average bitrate reduction of 50% for fixed video quality compared with the H.264/AVC standard, while computation complexity is significantly increased. The purpose of this work is to improve coding efficiency for the next-generation video-coding standards. Therefore, by developing a novel spatial neighborhood subset, efficient spatial correlation-based motion vector prediction (MVP) with the coding-unit (CU) depth-prediction algorithm is proposed to improve coding efficiency. Firstly, by exploiting the reliability of neighboring candidate motion vectors (MVs), the spatial-candidate MVs are used to determine the optimized MVP for motion-data coding. Secondly, the spatial correlation-based coding-unit depth-prediction is presented to achieve a better trade-off between coding efficiency and computation complexity for interprediction. This approach can satisfy an extreme requirement of high coding efficiency with not-high requirements for real-time processing. The simulation results demonstrate that overall bitrates can be reduced, on average, by 5.35%, up to 9.89% compared with H.265/HEVC reference software in terms of the Bjontegaard Metric.

A Fast Mode Decision Algorithm for Intra Prediction in High Efficiency Video Coding

2020 ◽  
Vol 10 (2) ◽  
pp. 496-501
Author(s):  
Wen Si ◽  
Qian Zhang ◽  
Zhengcheng Shi ◽  
Bin Wang ◽  
Tao Yan ◽  
...  
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Rate Increase ◽  
Intra Prediction ◽  
High Efficiency Video Coding ◽  
Candidate List ◽  
Decision Algorithm ◽  
Coding Efficiency ◽  
Gradient Based ◽  
Coding Unit

High Efficiency Video Coding (HEVC) is the next generation video coding standard. In HEVC, 35 intra prediction modes are defined to improve coding efficiency, which result in huge computational complexity, as a large number of prediction modes and a flexible coding unit (CU) structure is adopted in CU coding. To reduce this computational burden, this paper presents a gradient-based candidate list clipping algorithm for Intra mode prediction. Experimental results show that the proposed algorithm can reduce 29.16% total encoding time with just 1.34% BD-rate increase and –0.07 dB decrease of BD-PSNR.

scholarly journals Fast ISP Coding Mode Optimization Algorithm Based on CU Texture Complexity for VVC

2020 ◽  
Author(s):  
Zhi Liu ◽  
Mengjun Dong ◽  
XiaoHan Guan ◽  
Mengmeng Zhang ◽  
Ruoyu Wang
Keyword(s):  
Video Coding ◽  
Optimization Algorithm ◽  
Rate Distortion ◽  
Texture Features ◽  
Experimental Results ◽  
Computation Complexity ◽  
Rate Distortion Cost ◽  
Texture Complexity ◽  
Coding Mode ◽  
Coding Unit

Abstract In lately published video coding standard Versatile Video Coding (VVC/ H.266), the intra sub-partitions (ISP) coding mode is proposed. It is efficient for frames with rich texture, but less efficient for frames that are very flat or constant. In this paper, by comparing and analyzing the rate distortion cost (RD-cost) of coding unit (CU) with different texture features for using and not using ISP(No-ISP) coding mode, it is found that CUs with simple texture can get better coding performance in No-ISP coding mode. Based on this observations, a fast ISP coding mode optimization algorithm based on CU texture complexity is proposed, which aims to determine whether CU needs to use ISP coding mode in advance by calculating CU texture complexity, so as to reduce the computation complexity of ISP. The experimental results show that under All Intra (AI) configuration, the coding time can be reduced by 7%, while the BD-rate only increase by 0.09%.

History-Based Motion Vector Prediction in Versatile Video Coding

2019 ◽  
Author(s):  
Li Zhang ◽  
Kai Zhang ◽  
Hongbin Liu ◽  
Hsiao Chiang Chuang ◽  
Yue Wang ◽  
...  
Keyword(s):  
Video Coding ◽  
Motion Vector ◽  
Motion Vector Prediction
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