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.

VisionH04N 19/13H04N 19/60H04N 19/70H04N 19/91H04N 19/174H04N 19/176H04N 19/184

AI classification

Vision0.61
Natural language0.01
AI hardware0.01
Evolutionary computation0.00
Knowledge representation0.00
Machine learning0.00
Planning0.00
Speech0.00

Ownership

TEXAS INSTRUMENTS INCORPORATED

assignment · 295990509

Assignors

SZE, VIVIENNE, BUDAGAVI, MADHUKAR

On an employer assignment, the assignors are typically the inventors.

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