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

Gaoxing Chen, Zhenyu Liu, Tetsunori Kobayashi, Takeshi Ikenaga

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ124-128
ページ数5
ISBN(電子版)9781509037100
DOI
出版物ステータスPublished - 2017 2 13
イベント9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016 - Datong, China
継続期間: 2016 10 152016 10 17

Other

Other9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016
China
Datong
期間16/10/1516/10/17

    フィンガープリント

ASJC Scopus subject areas

  • Biomedical Engineering
  • Signal Processing
  • Information Systems

これを引用

Chen, G., Liu, Z., Kobayashi, T., & Ikenaga, T. (2017). Multi-feature based fast depth decision in HEVC inter prediction for VLSI implementation. : 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