Context-based Adaptive Binary Arithmetic Coding (CABAC): Design and Implementation Using a Multi-Symbol Binary Arithmetic Coder

Abstract

The most recent standard for encoding video, known as H.265/MPEG-HEVC, achieves a rise in coding efficiency that is fifty percent higher than that of its predecessor, known as H.264/MPEG-AVC. High-resolution video coding (such as 4K, 8K, etc.) has attracted considerable interest since it was anticipated that H.265/MPEG-HEVC will end up replacing practically all current H.264/MPEG-AVC codecs. Video compression is a crucial method, especially in this day and age where greater quality and quicker frame-rate video are in high demand. There are other video compression algorithms available today, but the H.265 standard is one of the most well-known and widely utilized. The standard's last stage is the construction of a binary arithmetic coding algorithm that employs arithmetic coding theory principles to accomplish efficient encoding of the produced information. Binary arithmetic coding (BAC) is an important component of modern video compression techniques. A novel BAC method is examined in this work to demonstrate the feasibility of breaking the dependency of bin-bin in the refreshing of range and low registers. It is suggested to create new dataflow. The design implementation is performed using the Modelsim tool.