Arithmetic Coding Entry Points for Parallel CABAC Decoding
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Solution Overview
Problem
Existing arithmetic decoding processes, such as context-based adaptive binary arithmetic coding (CABAC), are highly sequential and cannot be effectively parallelized, limiting decoding speed.
Innovation Solution
An encoding and decoding concept that allows for parallel decoding by providing entry point information in the bitstream, enabling multiple decoders to process different parts of the bitstream simultaneously, and includes an arithmetic encoder and decoder that renormalize internal parameters and use subintervals based on probability estimates to resume decoding from a predetermined point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If arithmetic decoding is performed using traditional sequential methods (CABAC), then decoding accuracy is maintained, but decoding speed is limited due to inability to parallelize
Solution Approach 1:
The bitstream is divided into multiple segments with designated entry points, allowing multiple decoders to process different segments in parallel. Each segment is independently decodable by initializing the arithmetic decoder at the entry point with appropriate coding state information, thereby enabling parallel processing while maintaining decoding accuracy.
2Productivity
If entry point information is added to enable parallel decoding, then decoding speed improves through parallel processing, but bitstream structure complexity increases
Solution Approach 1:
Entry point information is pre-calculated and embedded in the bitstream during the encoding phase. This preliminary action allows decoders to directly jump to specific entry points without processing the entire bitstream sequentially, enabling efficient parallel decoding while keeping the additional structure minimal and predetermined.
3Loss of time
If multiple decoders process different parts of the bitstream simultaneously, then decoding time is reduced, but synchronization and state management become more complex
Solution Approach 1:
The coding state information required for parallel decoding is extracted and embedded as entry point data in the bitstream. Each entry point contains the necessary interval and offset values that allow a decoder to independently initialize and process a segment without requiring complex inter-decoder synchronization or shared state management.
Data Source
AI summary
An encoding scheme is provided for arithmetically encoding a sequence of information values into an arithmetic coded bitstream by providing the bitstream with entry point information, allowing for resuming arithmetic decoding of the bitstream from a predetermined entry point onward. A respective decoding scheme is also provided. These encoding and decoding schemes provide more efficient encoding in view of the decoding speed.


