scholarly journals Improved entropy encoding for high efficient video coding standard

2018 ◽  
Vol 57 (1) ◽  
pp. 1-9 ◽  
Author(s):  
B.S. Sunil Kumar ◽  
A.S. Manjunath ◽  
S. Christopher
Keyword(s):  
Video Coding ◽  
High Efficient ◽  
Entropy Encoding ◽  
Efficient Video

scholarly journals CU Splitting on Frame Boundary for Arbitrary Resolution Video in HEVC

2011 ◽  
Vol 1 ◽  
pp. 116-120
Author(s):  
Wei Li ◽  
Fu Zheng Yang ◽  
Shu Ai Wan ◽  
Guang Liang Ren
Keyword(s):  
Video Coding ◽  
Splitting Method ◽  
Video Content ◽  
Integral Multiple ◽  
Coding Efficiency ◽  
High Efficient ◽  
Simulation Results ◽  
Coding Unit ◽  
Efficient Video ◽  
Candidate Set

A highly flexible quadtree structure has been introduced in the latest high efficient video coding (HEVC) to efficiently represent video content. However, the performance of the quadtre structure would be impaired when the video resolution is not an integral multiply of the largest coding unit (CU). To address this, a new CU splitting method on the frame boundary for arbitrary resolution video is proposed to improve the coding efficiency of HEVC. This method introduces the non-square CU to extend the CU candidate set on the frame boundary when the video resolution is not an integral multiple of the largest CU size. Simulation results show that the proposed method can reduce the coding bit rate by up to 0.76% compared with the original TMuC 0.9 reference software.

scholarly journals Quantization with Perception for Performance Improvement in HEVC for HDR Content

2020 ◽  
Vol 2 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Mr. H. James Deva Koresh
Keyword(s):  
Video Coding ◽  
Dynamic Range ◽  
Reference Model ◽  
High Dynamic Range ◽  
Video Encoding ◽  
Human Eye ◽  
Proposed Model ◽  
High Efficient ◽  
High Dynamic ◽  
Efficient Video

Human eye always reveals a non –linear understanding, for the disturbances caused by the lossy image and video coding. This is mainly because of the masking capability of the human eye to conceal the attributes such as contrast, luminous, spatial and temporal frequencies. To have a distortion less and efficient video encoding for the high dynamic video range content by eluding the invisible messages in the video that causes disturbances the paper puts forth the quantization with perception utilizing the luminous masking. The methodology utilized, computes the tone mapping to scale every frames in the HDR and later quantizes on unit basis with perception tuning. For this purpose the mechanism put forth incorporates the reference model of the HEVC with the extension range of the HEVC. The proposed model was validated by evaluating the reduction incurred in each rate of bit compared to the HDR range extension. The results acquired proved to have an enhancement in terms of the savings endured in the bit rate compared to the High efficient video coding that relied on the high dynamic range visible difference predictor-II

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