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.
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