Python Wrapper for Context-based Adaptive Binary Arithmetic Coding

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.

Authors 3

1. Christian Rohlfing Aachen r Nachrichtentechnik

   RWTH Aachen University

   Affiliation as printed

   Institut für Nachrichtentechnik, RWTH Aachen University,Germany

2. Thibaut Meyer Aachen r Nachrichtentechnik

   RWTH Aachen University

   Affiliation as printed

   Institut für Nachrichtentechnik, RWTH Aachen University,Germany

3. Jan Voges

   Leibniz University Hannover

   Affiliation as printed

   Institut für Informationsverarbeitung, Leibniz University Hannover,Germany