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IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction
Xiantao JIANGTian SONGWen SHITakafumi KATAYAMATakashi SHIMAMOTOLisheng WANG
Author information
  • Xiantao JIANG

    Department of Electronics and Information Engineering, Tongji University

  • Tian SONG

    Department of Electrical and Electronics Engineering, The University of Tokushima

  • Wen SHI

    Department of Electrical and Electronics Engineering, The University of Tokushima

  • Takafumi KATAYAMA

    Department of Electrical and Electronics Engineering, The University of Tokushima

  • Takashi SHIMAMOTO

    Department of Electrical and Electronics Engineering, The University of Tokushima

  • Lisheng WANG

    Department of Electronics and Information Engineering, Tongji University

Corresponding author

ORCID
Keywords:HEVC,CU size,encoding complexity,probability graphical model
JOURNALFREE ACCESS

2016 Volume E99.DIssue 11Pages 2836-2839

DOIhttps://doi.org/10.1587/transinf.2015EDL8237
Details
  • Published: November 01, 2016Manuscript Received: November 19, 2015Released on J-STAGE: November 01, 2016Accepted: -Advance online publication: -Manuscript Revised: May 26, 2016
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Abstract

In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.

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© 2016 The Institute of Electronics, Information and Communication Engineers
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