22 February 2017 Visual saliency-based fast intracoding algorithm for high efficiency video coding
Xin Zhou, Guangming Shi, Zhemin Duan
Author Affiliations +
Abstract
Intraprediction has been significantly improved in high efficiency video coding over H.264/AVC with quad-tree-based coding unit (CU) structure from size 64×64 to 8×8 and more prediction modes. However, these techniques cause a dramatic increase in computational complexity. An intracoding algorithm is proposed that consists of perceptual fast CU size decision algorithm and fast intraprediction mode decision algorithm. First, based on the visual saliency detection, an adaptive and fast CU size decision method is proposed to alleviate intraencoding complexity. Furthermore, a fast intraprediction mode decision algorithm with step halving rough mode decision method and early modes pruning algorithm is presented to selectively check the potential modes and effectively reduce the complexity of computation. Experimental results show that our proposed fast method reduces the computational complexity of the current HM to about 57% in encoding time with only 0.37% increases in BD rate. Meanwhile, the proposed fast algorithm has reasonable peak signal-to-noise ratio losses and nearly the same subjective perceptual quality.
© 2017 SPIE and IS&T 1017-9909/2017/$25.00 © 2017 SPIE and IS&T
Xin Zhou, Guangming Shi, and Zhemin Duan "Visual saliency-based fast intracoding algorithm for high efficiency video coding," Journal of Electronic Imaging 26(1), 013019 (22 February 2017). https://doi.org/10.1117/1.JEI.26.1.013019
Received: 30 August 2016; Accepted: 2 February 2017; Published: 22 February 2017
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CITATIONS
Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Copper

Visualization

Video coding

Video

Computer programming

Video compression

Detection and tracking algorithms

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