• DocumentCode
    3264302
  • Title

    Fast decision of CU partitioning based on SAO parameter, motion and PU/TU split information for HEVC

  • Author

    Sangsoo Ahn ; Munchurl Kim ; Seongmo Park

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    High Efficiency Video Coding (HEVC) has recently been standardized with a significant improvement of coding efficiency compared to its preceding video coding standards. To achieve high coding efficiency improvements, HEVC adopts deeper hierarchical block coding structures of coding unit (CU), prediction unit (PU) and transform unit (TU), to better adapt the complex texture and motion natures of various video sequences. However, this causes a dramatically increased computational and structural complexity of HEVC encoders and decoders. In this paper, we propose a fast decision method of CU partitioning, which significantly reduces total encoding time with negligible RD-performance loss for HEVC. For this, the proposed method effectively utilizes the available side information such as sample adaptive offset (SAO) parameter values, PU sizes, MV sizes and coded block flag (cbf) data, so that the required computational complexity for fast CU split decision is minimized. Our experiment results show that the proposed method reduces the total encoding time to average 43.2% only with average 1.58% bit-rate increase for ten test sequences of HEVC.
  • Keywords
    computational complexity; image sequences; image texture; video coding; CU partitioning; HEVC encoders; MV sizes; PU sizes; PU-TU split information; SAO parameter; SAO parameter values; bit-rate; coding unit; complex texture; computational complexity; fast split decision; hierarchical block coding structures; high coding efficiency improvements; high efficiency video coding; motion information; motion natures; prediction unit; sample adaptive offset parameter values; side information; structural complexity; transform unit; video sequences; Complexity theory; Encoding; Image edge detection; Indexes; Joints; Standards; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2013
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4799-0292-7
  • Type

    conf

  • DOI
    10.1109/PCS.2013.6737696
  • Filename
    6737696