Telecommunications Science ›› 2019, Vol. 35 ›› Issue (2): 14-26.doi: 10.11959/j.issn.1000-0801.2019034

• research and development • Previous Articles     Next Articles

Complexity control method of random forest based HEVC

Peng WEN,Zongju PENG,Fen CHEN,Gangyi JIANG,Mei YU   

  1. Faculty of Information Science and Engineering,Ningbo University,Ningbo 315211,China
  • Revised:2019-01-20 Online:2019-02-01 Published:2019-02-23
  • Supported by:
    The National Natural Science Foundation of China(61771269);The National Natural Science Foundation of China(61620106012);The National Natural Science Foundation of China(61671258);The Natural Science Foundation of Zhejiang Province of China(LY17F010005);The Natural Science Foundation of Ningbo of China(2018A610052)

Abstract:

High efficiency video coding (HEVC) has high computational complexity,and fast algorithm cannot perform video coding under restricted coding time.Therefore,a complexity control method of HEVC based on random forest was proposed.Firstly,three random forest classifiers with different prediction accuracy were trained to provide various coding configurations for coding tree unit (CTU).Then,an average depth-complexity model was built to allocate CTU complexity.Finally,the CTU coding configuration,determined by the smoothness,average depth,bit,and CTU-level accumulated coding error,was used to complete complexity control.The experimental results show that the proposed method has better complexity control precision,and outperforms the state-of-the-art method in terms of video quality.

Key words: complexity control, HEVC, random forest

CLC Number: 

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