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Fast Mode Decision Algorithm for Quality Scalable HEVC

  • Conference paper
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Digital TV and Wireless Multimedia Communication (IFTC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 685))

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Abstract

In order to adapt networks and various devices, the Joint Collaborative Team on Video Coding (JCTVC) develops scalable HEVC (SHVC), which is an extension of HEVC. It is important to reduce the complexity of SHVC because of its high computational time, which may not be suitable for real-time application scenarios. In this paper, we exploit the correlation between the current CU and nearby CUs to skip some unnecessary mode. Meanwhile, we also use the correlation between base layer and enhancement layer to reduce the coding complexity. Experimental results show that our proposed coding algorithm can reduce the coding complexity by 37.7%, with a slight decrease in PSNR of 0.01 dB in base layer and 0.004 dB in enhancement layer, respectively. In the meantime, the R-D performance of luma and chroma is degraded about 0.7% on average.

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Acknowledgment

This work was supported in part by the National Natural Sicence Foundation of China, under Grants 161301112.

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Authors and Affiliations

  1. School of Communication and Information Engineering, Shanghai University, Shanghai, 200072, China

    Mengmeng Kang, Ran Ma, Zefu Li, Xiangyu Hu & Ping An

  2. Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, 200072, China

    Mengmeng Kang, Ran Ma, Zefu Li, Xiangyu Hu & Ping An

Authors
  1. Mengmeng Kang
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  2. Ran Ma
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  3. Zefu Li
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  4. Xiangyu Hu
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  5. Ping An
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Corresponding author

Correspondence to Ran Ma .

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Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Xiaokang Yang

  2. Shanghai Jiao Tong University, Shanghai, China

    Guangtao Zhai

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Kang, M., Ma, R., Li, Z., Hu, X., An, P. (2017). Fast Mode Decision Algorithm for Quality Scalable HEVC. In: Yang, X., Zhai, G. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2016. Communications in Computer and Information Science, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-10-4211-9_34

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  • DOI: https://doi.org/10.1007/978-981-10-4211-9_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4210-2

  • Online ISBN: 978-981-10-4211-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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