An Adaptive Mode Decision Algorithm Based on Video Texture Characteristics for HEVC Intra Prediction

The latest High Efficiency Video Coding (HEVC) standard could achieve the highest coding efficiency compared with the existing video coding standards. To improve the coding efficiency of the intra frame, a quad-tree-based variable block size coding structure that is flexible to adapt to various text...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2017-08, Vol.27 (8), p.1737-1748
Main Authors: Liu, Xingang, Liu, Yinbo, Wang, Peicheng, Lai, Chin-Feng, Chao, Han-Chieh
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithm design and analysis
Algorithms
Coding
Coding standards
Complexity
Computation
Computational complexity
Computer simulation
Distortion
Economic models
Efficiency
Encoding
High Efficiency Video Coding (HEVC)
intra prediction
Lagrange multiplier
mode decision
Prediction algorithms
Redundancy
Texture
texture complexity
video coding
Video compression
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Summary:The latest High Efficiency Video Coding (HEVC) standard could achieve the highest coding efficiency compared with the existing video coding standards. To improve the coding efficiency of the intra frame, a quad-tree-based variable block size coding structure that is flexible to adapt to various texture characteristics of images and up to 35 intra-prediction modes for each prediction unit (PU) is adopted in HEVC. However, the computational complexity is increased dramatically because all the possible combinations of the mode candidates are calculated in order to find the optimal rate distortion cost using the Lagrange multiplier. To alleviate the encoder computational load, this paper proposes an adaptive mode decision algorithm based on texture complexity and direction for HEVC intra prediction. First, an adaptive coding unit selection algorithm according to each depth levels' texture complexity is presented to filter out unnecessary coding block. Then, the original redundant mode candidates for each PU are reduced according to its texture direction. The simulation results show that the proposed algorithm could reduce around 56% encoding time on average while maintaining the encoding performance efficiently with only a 1.0% increase in BD-rate compared with the test model HM16 of HEVC.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2016.2556278