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作者:

Duan, Kun (Duan, Kun.) | Liu, Pengyu (Liu, Pengyu.) | Jia, Kebin (Jia, Kebin.) (学者:贾克斌) | Feng, Zeqi (Feng, Zeqi.) | Sun, Zhonghua (Sun, Zhonghua.)

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EI Scopus

摘要:

To reduce the computational complexity of High Efficiency Video Coding (HEVC), this paper proposed an adaptive quad-tree complexity control mechanism. The proposed mechanism first defines similar region flag (SRF) to distinguish between similar region and non-similar region. Then, two algorithms, similar region depth range prediction algorithm and non-similar region depth range prediction algorithm, are proposed. The similar region depth range prediction algorithm estimates the feature of similar region based on coding unit (CU) depth of this region. The optimal depth of this region can be predicted. The non-similar region depth range prediction algorithm can skip low probability tree nodes based on depth correlation coefficient (DCC), which is calculated based on scene content change. Experimental results show that the pro-posed mechanism can reduce computational complexity by 28.17% on average with 0.75% Bjontegaard delta bit rate (BDBR) increase and 0.03dB Bjontegaard delta peak signal-to-noise rate (BDPSNR) drop under random access (RA) con-figuration. For low delay (LD) configuration, it can reduce complexity by 32.99% with 1.98% BDBR increase and 0.06dB BDPSNR drop penalty. The proposed mechanism is expected to be applied in the real-time environments. © 2018 APSIPA organization.

关键词:

Computational complexity Computational efficiency Drops Forecasting Signal to noise ratio Trees (mathematics) Video signal processing

作者机构:

  • [ 1 ] [Duan, Kun]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Duan, Kun]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 3 ] [Duan, Kun]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Duan, Kun]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Liu, Pengyu]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Liu, Pengyu]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 7 ] [Liu, Pengyu]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Liu, Pengyu]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Jia, Kebin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Jia, Kebin]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 11 ] [Jia, Kebin]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Jia, Kebin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 13 ] [Feng, Zeqi]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 14 ] [Feng, Zeqi]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 15 ] [Feng, Zeqi]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 16 ] [Feng, Zeqi]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 17 ] [Sun, Zhonghua]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 18 ] [Sun, Zhonghua]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 19 ] [Sun, Zhonghua]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 20 ] [Sun, Zhonghua]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China

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来源 :

年份: 2018

页码: 43-48

语种: 英文

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