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Efficient CU Splitting Method for HEVC Intra Coding Based on Visual Saliency

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Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10073))

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Abstract

Intra coding with quadtree partition structure is a critical feature in the new High Efficiency Video Coding standard and it also causes a dramatic increase in computational complexity. In this paper, based on the visual saliency detection, an efficient CU splitting method is proposed for HEVC intra coding to reduce the complexity of computation. Experimental results show that the proposed method can reduces the coding complexity of the current HM to about 46.15% with only 0.1791% increases in BD rate and 0.0542 dB PSNR losses.

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Author information

Authors and Affiliations

  1. School of Automation, Northwestern Polytechnical University, Xi’an, China

    Xin Zhou

  2. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China

    Wei Zhou

  3. School of Electronic Engineering, Xidian University, Xi’an, China

    Guangming Shi

Authors
  1. Xin Zhou
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  2. Guangming Shi
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  3. Wei Zhou
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Corresponding author

Correspondence to Wei Zhou .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University, O’Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs, Redwood City, California, USA

    Sandra Skaff

  7. University of Florida, Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc., Mountain View, California, USA

    Jianyuan Min

  9. Osaka University, Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute, Monterey, California, USA

    Amela Sadagic

  11. University of Arizona, Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud, Orsay, France

    Tobias Isenberg

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© 2016 Springer International Publishing AG

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Cite this paper

Zhou, X., Shi, G., Zhou, W. (2016). Efficient CU Splitting Method for HEVC Intra Coding Based on Visual Saliency. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10073. Springer, Cham. https://doi.org/10.1007/978-3-319-50832-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-50832-0_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50831-3

  • Online ISBN: 978-3-319-50832-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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