Maximum-Entropy-Model-Enabled Complexity Reduction Algorithm in Modern Video Coding Standards
Maximum-Entropy-Model-Enabled Complexity Reduction Algorithm in Modern Video Coding Standards
复制标题
现代视频编码标准中最大熵模型启用的复杂性降低算法
DOI：
10.3390/sym12010113
复制
发表时间：
2020-01
期刊：
影响因子：
2.7
通讯作者：
Katayama Takafumi
中科院分区：
文献类型：
--
作者：
Jiang Xiantao;Song Tian;Katayama Takafumi
对称考虑因素在现代科学中起着关键作用，并且物理系统作用的任何可区分对称性都具有相应的保护定律。对称性可以视为熵的还原。这项工作着重于减少计算机
Symmetry considerations play a key role in modern science, and any differentiable symmetry of the action of a physical system has a corresponding conservation law. Symmetry may be regarded as reduction of Entropy. This work focuses on reducing the computational complexity of modern video coding standards by using the maximum entropy principle. The high computational complexity of the coding unit (CU) size decision in modern video coding standards is a critical challenge for real-time applications. This problem is solved in a novel approach considering CU termination, skip, and normal decisions as three-class making problems. The maximum entropy model (MEM) is formulated to the CU size decision problem, which can optimize the conditional entropy; the improved iterative scaling (IIS) algorithm is used to solve this optimization problem. The classification features consist of the spatio-temporal information of the CU, including the rate–distortion (RD) cost, coded block flag (CBF), and depth. For the case analysis, the proposed method is based on High Efficiency Video Coding (H.265/HEVC) standards. The experimental results demonstrate that the proposed method can reduce the computational complexity of the H.265/HEVC encoder significantly. Compared with the H.265/HEVC reference model, the proposed method can reduce the average encoding time by 53.27% and 56.36% under low delay and random access configurations, while Bjontegaard Delta Bit Rates (BD-BRs) are 0.72% and 0.93% on average.
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DOI：
10.1016/j.inffus.2012.01.012
发表时间：
2013-04
期刊：
Inf. Fusion
影响因子：
--
作者：
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通讯作者：
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影响因子：
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DOI：
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发表时间：
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期刊：
Journal of Signal Processing Systems
影响因子：
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