• DocumentCode
    1727350
  • Title

    Method for fast bits estimation in rate distortion for intra coding units in HEVC

  • Author

    Johar, S. ; Alwani, M.

  • Author_Institution
    STMicroelectron. India Pvt. Ltd., Noida, India
  • fYear
    2013
  • Firstpage
    721
  • Lastpage
    724
  • Abstract
    Improved performance of Intra Prediction in HEVC in comparison to H.264/AVC is primarily due to two main feature enhancements, first is increase in the number of intra prediction directions and secondly due to the support for larger transform sizes. Using lagrangian based rate distortion measure to decide the appropriate prediction direction and Transform Unit size requires calculation of bits generated using complete cabac encoding for every candidate, which is computationally very exhaustive. In order to avoid complex cabac encoding is to use only distortion as a comparison measure, but it has a detrimental effect on coding efficiency. In this paper we present a method based on regression, to estimate the cabac bits for direction mode and for Transform Unit based on the magnitude of non-zero coefficients. This way we avoid calculating cabac encoding for bits calculation and the results show that our method gives 5.4% average BD-rate gain for Luma in comparison to using only distortion as a comparative measure.
  • Keywords
    image enhancement; regression analysis; video coding; BD-rate gain; CABAC bit estimation; H.264-AVC; HEVC; Lagrangian-based rate distortion; coding efficiency; complex CABAC encoding; direction mode; feature enhancement; intracoding unit; intraprediction performance improvement; nonzero coefficient magnitude; prediction direction; regression method; transform size; transform unit size; Bit rate; Entropy; PSNR; Transforms; Coding Unit; HEVC; Intra Prediction; Rate Distortion; Transform Unit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2013 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-3131-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2013.6488534
  • Filename
    6488534