scholarly journals Efficient Coding Tree Unit (CTU) Decision Method for Scalable High-Efficiency Video Coding (SHVC) Encoder

10.5772/64847 ◽  
2016 ◽  
Author(s):  
Chou-Chen Wang ◽  
Yuan-Shing Chang ◽  
Ke-Nung Huang
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
High Efficiency Video Coding ◽  
Efficient Coding ◽  
Decision Method

Efficient Inter Prediction Mode Decision Method for Fast Motion Estimation in High Efficiency Video Coding

ETRI Journal ◽  
2014 ◽  
Vol 36 (4) ◽  
pp. 528-536 ◽  
Author(s):  
Alex Lee ◽  
Dongsan Jun ◽  
Jongho Kim ◽  
Jin Soo Choi ◽  
Jinwoong Kim
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
High Efficiency ◽  
Inter Prediction ◽  
High Efficiency Video Coding ◽  
Fast Motion Estimation ◽  
Decision Method ◽  
Prediction Mode ◽  
Prediction Mode Decision ◽  
Fast Motion

scholarly journals Fast CU Size Decision Method Based on Just Noticeable Distortion and Deep Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jinchao Zhao ◽  
Yihan Wang ◽  
Qiuwen Zhang
Keyword(s):  
Deep Learning ◽  
Video Coding ◽  
High Efficiency ◽  
Threshold Model ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
Coding Efficiency ◽  
Decision Method ◽  
Just Noticeable Distortion ◽  
Cu Size Decision

With the development of broadband networks and high-definition displays, people have higher expectations for the quality of video images, which also brings new requirements and challenges to video coding technology. Compared with H.265/High Efficiency Video Coding (HEVC), the latest video coding standard, Versatile Video Coding (VVC), can save 50%-bit rate while maintaining the same subjective quality, but it leads to extremely high encoding complexity. To decrease the complexity, a fast coding unit (CU) size decision method based on Just Noticeable Distortion (JND) and deep learning is proposed in this paper. Specifically, the hybrid JND threshold model is first designed to distinguish smooth, normal, or complex region. Then, if CU belongs to complex area, the Ultra-Spherical SVM (US-SVM) classifiers are trained for forecasting the best splitting mode. Experimental results illustrate that the proposed method can save about 52.35% coding runtime, which can realize a trade-off between the reduction of computational burden and coding efficiency compared with the latest methods.

Early TU decision method for fast video encoding in high efficiency video coding

2012 ◽  
Vol 48 (12) ◽  
pp. 689 ◽  
Author(s):  
Kiho Choi ◽  
Euee S. Jang
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Video Encoding ◽  
High Efficiency Video Coding ◽  
Decision Method

scholarly journals Context-Based Inter Mode Decision Method for Fast Affine Prediction in Versatile Video Coding

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1243
Author(s):  
Seongwon Jung ◽  
Dongsan Jun
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Translational Motion ◽  
Rate Distortion ◽  
Previous Method ◽  
Mode Decision ◽  
Test Model ◽  
High Efficiency Video Coding ◽  
Affine Motion ◽  
Decision Method

Versatile Video Coding (VVC) is the most recent video coding standard developed by Joint Video Experts Team (JVET) that can achieve a bit-rate reduction of 50% with perceptually similar quality compared to the previous method, namely High Efficiency Video Coding (HEVC). Although VVC can support the significant coding performance, it leads to the tremendous computational complexity of VVC encoder. In particular, VVC has newly adopted an affine motion estimation (AME) method to overcome the limitations of the translational motion model at the expense of higher encoding complexity. In this paper, we proposed a context-based inter mode decision method for fast affine prediction that determines whether the AME is performed or not in the process of rate-distortion (RD) optimization for optimal CU-mode decision. Experimental results showed that the proposed method significantly reduced the encoding complexity of AME up to 33% with unnoticeable coding loss compared to the VVC Test Model (VTM).

High-Performance Hardware Interpolation Architecture for High Efficiency Video Coding Decoder

2016 ◽  
Vol 11 (9) ◽  
pp. 764
Author(s):  
Lella Aicha Ayadi ◽  
Nihel Neji ◽  
Hassen Loukil ◽  
Mouhamed Ali Ben Ayed ◽  
Nouri Masmoudi
Keyword(s):  
Video Coding ◽  
High Performance ◽  
High Efficiency ◽  
High Efficiency Video Coding
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