intra mode decision
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Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1839
Author(s):  
Ammar Armghan ◽  
Junaid Tariq ◽  
Fayadh Alenezi ◽  
Norah Alnaim ◽  
Ayman Alfalou ◽  
...  

The brute-force behaviour of High-Efficiency Video Coding (HEVC) is the biggest hurdle in the communication of the multimedia contents. Therefore, a novel method will be presented here to expedite the intra mode decision process of HEVC. In the first step, the feasibility of the odds-algorithm for the early intra mode decision is presented by using statistical evidence. Then, various elements of odds algorithm are analyzed and then mapped to the intra mode process (elements) of HEVC. Finally, the probability required by the odds algorithm is obtained by utilizing the correlation between the current and the neighboring blocks. The proposed algorithm accelerated the encoding process of the HEVC by 25% to 35%, while the Bjontegaard Delta Bit Rate (BD-BR) is 0.95% to 1.84%.



2021 ◽  
pp. 1-1
Author(s):  
Xinchao Dong ◽  
Liquan Shen ◽  
Mei Yu ◽  
Hao Yang


2020 ◽  
pp. short57-1-short57-8
Author(s):  
Ban Doan ◽  
Andrey Tropchenko

In order to achieve greater coding efficiency compared with the previous video coding standards, various advanced coding techniques are used in the High Efficiency Video Coding (HEVC) standard, such as a flexible partition and a large number of intra prediction modes. However, these techniques lead to much greater complexity that restricts HEVC from realtime applications. To solve this problem, a fast intra mode decision algorithm is proposed in this paper that uses the block’s textural properties to determine the partition depth range and decide whether to split or skip smaller sizes of the coding unit. Besides that, the number of candidate modes for the rough mode decision process is also reduced depending on the block’s property. Experimental results for the recommended test sequences by the JCT-VC show that the proposed algorithm can save an average of 44% encoder time with a slight loss in performance compared to the reference software HM-16.20.





Author(s):  
Christopher Moura ◽  
Mario Saldanha ◽  
Gustavo Sanchez ◽  
Cesar Marcon ◽  
Marcelo Porto ◽  
...  




Author(s):  
Yamei Chen ◽  
Li Yu ◽  
Hongkui Wang ◽  
Tiansong Li ◽  
Shengwei Wang


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