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article · 2023

Python Wrapper for Context-based Adaptive Binary Arithmetic Coding

Christian Rohlfing, Thibaut Meyer, Jens Schneider, Jan Voges

Cited by 1Abstract and details only

Abstract

A Python wrapper for Context-based Adaptive Binary Arithmetic Coding (CABAC), extracted from the Test Model (VTM) for Versatile Video Coding (VVC), is presented. Besides providing Python access to CABAC, two extensions are proposed: the probability estimation progress for each context can be traced, and sequences of integer values can be coded without designing a dedicated context model set.

Cite this paper

APA 7

Rohlfing, C., Meyer, T., Schneider, J., & Voges, J. (2023). Python Wrapper for Context-based Adaptive Binary Arithmetic Coding. https://doi.org/10.1109/vcip59821.2023.10402639

MLA 9

Rohlfing, Christian, et al. “Python Wrapper for Context-based Adaptive Binary Arithmetic Coding.” 2023, p. 1, https://doi.org/10.1109/vcip59821.2023.10402639.

Chicago

Rohlfing, Christian, Thibaut Meyer, Jens Schneider, and Jan Voges. 2023. “Python Wrapper for Context-based Adaptive Binary Arithmetic Coding.” https://doi.org/10.1109/vcip59821.2023.10402639.

Harvard

Rohlfing, C. et al. (2023) ‘Python Wrapper for Context-based Adaptive Binary Arithmetic Coding’. Available at: https://doi.org/10.1109/vcip59821.2023.10402639.

BibTeX
@article{rohlfing2023python,
  title = {{Python Wrapper for Context-based Adaptive Binary Arithmetic Coding}},
  author = {Rohlfing, Christian and Meyer, Thibaut and Schneider, Jens and Voges, Jan},
  pages = {1},
  year = {2023},
  doi = {10.1109/vcip59821.2023.10402639}
}

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