Intraprediction Complexity Control Algorithm Based on Visual Saliency

Intraprediction is one of the most complex parts of High-Efficiency Video Coding (HEVC), because it selects the best prediction mode by calculating the cost of every Coding Unit (CU), which provides higher complexity of intracoding. Visual saliency map can show the attention regions of the human eye...

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Bibliographic Details
Published in:Journal of sensors 2022-09, Vol.2022, p.1-13
Main Authors: Shan, Nana, Zhou, Wei, Duan, Zhemin
Format: Article
Language:English
Subjects:
Algorithms
Coding
Complexity
Control algorithms
Control theory
Methods
Neural networks
Salience
Statistical analysis
Video compression
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Summary:Intraprediction is one of the most complex parts of High-Efficiency Video Coding (HEVC), because it selects the best prediction mode by calculating the cost of every Coding Unit (CU), which provides higher complexity of intracoding. Visual saliency map can show the attention regions of the human eyes, which is generated by certain static and space-time saliency detection method. By analyzing the percentage of coding time for different size CU, and the relation of visual saliency and CU depth, an intraprediction complexity control algorithm based on visual saliency is proposed in this paper. Based on the feature of the video and the target level, the saliency threshold is adapted to determine whether the current CU in the intraprediction processing should be split into smaller CUs or the division processing should be stopped early. Three samples were compared by the proposed algorithm and other algorithm, and the proposed algorithm has better performance in PSNR, BitRate, and coding time. Experimental results show that this algorithm can effectively control the coding complexity of intraprediction with minimal visual loss and can be applied to a number of scenarios, such as real-time video coding.
ISSN:1687-725X
1687-7268
DOI:10.1155/2022/5069775