CONTEXT ADAPTIVE BINARY ARITHMETIC CODING (CABAC) WITH SCALABLE THROUGHPUT AND CODING EFFICIENCY
Patent №
US 9,503,717
Granted
2016-11-22
Filed 2013
Owner
TEXAS INSTRUMENTS INCORPORATED
Lab
—
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13737809
A method for encoding a video sequence is provided that includes entropy encoding syntax elements representative of transform coefficients generated as the video sequence is processed, wherein entropy encoding syntax elements representative of a transform coefficient includes binarizing the syntax elements representative of the transform coefficient to generate a plurality of binary symbols (bins), coding a portion of the plurality of bins in context coding mode, and coding a remaining portion of the plurality of bins in bypass coding mode. The method further includes reducing the number of bins that are coded in context coding mode for each transform coefficient in a plurality of subsequent transform coefficients that are entropy encoded after a specified number of transform coefficients have been entropy encoded.
AI classification
Ownership
TEXAS INSTRUMENTS INCORPORATED
assignment · 295990509
Assignors
SZE, VIVIENNE, BUDAGAVI, MADHUKAR
On an employer assignment, the assignors are typically the inventors.