Multi-feature based fast depth decision in HEVC inter prediction for VLSI implementation

Gaoxing Chen, Zhenyu Liu, Tetsunori Kobayashi, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

High efficiency video coding (HEVC) is the latest international video compression standard that achieves double compression efficiency than the previous standard H.264/AVC. To increase the compression accuracy, HEVC employs the coding unit (CU) ranging from 8 × 8 to 64 × 64. However, the encoding complexity of HEVC increase a lot since the manifold partition sizes. A lot of works are focused on reducing the complexity but didn't considered the feasibility of hardware implementation. This paper proposes a hardware friendly fast depth range definition algorithm based on multiple features. Block texture feature, quantization feature and block motion feature are utilized. Block texture feature is based on the texture similarity in consecutive frames. Quantization feature is based on the compression regularity of HEVC. Block motion feature is for compensate the difference caused by the moving object. Comparing with the original HEVC, the proposed method can saved about 33.72% of the processing time with 0.76% of BD-bitrate increase on average.

Original languageEnglish
Title of host publicationProceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages124-128
Number of pages5
ISBN (Electronic)9781509037100
DOIs
Publication statusPublished - 2017 Feb 13
Event9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016 - Datong, China
Duration: 2016 Oct 152016 Oct 17

Other

Other9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
CountryChina
CityDatong
Period16/10/1516/10/17

Keywords

  • block texture
  • depth decision
  • HEVC
  • inter prediction
  • quantization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Signal Processing
  • Information Systems

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  • Cite this

    Chen, G., Liu, Z., Kobayashi, T., & Ikenaga, T. (2017). Multi-feature based fast depth decision in HEVC inter prediction for VLSI implementation. In Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016 (pp. 124-128). [7852694] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISP-BMEI.2016.7852694