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article · 2013

High precision probability estimation for CABAC

Alexander Alshin, Elena Alshina, JeongHoon Park

Cited by 23Abstract and details only

Abstract

Entropy coding is the main important part of all advanced video compression schemes. Context-adaptive binary arithmetic coding (CABAC) is entropy coding used in H.264/MPEG-4 AVC and H.265/HEVC standards. Probability estimation is the key factor of CABAC performance efficiency. In this paper high accuracy probability estimation for CABAC is presented. This technique is based on multiple estimations using different models. Proposed method was efficiently realized in integer arithmetic. High precision probability estimation for CABAC provides up-to 1,4% BD-rate gain.

Cite this paper

APA 7

Alshin, A., Alshina, E., & Park, J. (2013). High precision probability estimation for CABAC. https://doi.org/10.1109/vcip.2013.6706454

MLA 9

Alshin, Alexander, et al. “High precision probability estimation for CABAC.” 2013, pp. 1–6, https://doi.org/10.1109/vcip.2013.6706454.

Chicago

Alshin, Alexander, Elena Alshina, and JeongHoon Park. 2013. “High precision probability estimation for CABAC.” https://doi.org/10.1109/vcip.2013.6706454.

Harvard

Alshin, A., Alshina, E. and Park, J. (2013) ‘High precision probability estimation for CABAC’. Available at: https://doi.org/10.1109/vcip.2013.6706454.

BibTeX
@article{alshin2013high,
  title = {{High precision probability estimation for CABAC}},
  author = {Alshin, Alexander and Alshina, Elena and Park, JeongHoon},
  pages = {1--6},
  year = {2013},
  doi = {10.1109/vcip.2013.6706454}
}

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