QUANTIZATION PARAMETER ADJUSTMENT BASED ON SUM OF VARIANCE AND ESTIMATED PICTURE ENCODING COST

Patent №

US 9,565,440

Granted

2017-02-07

Filed 2013

Owner

VIXS SYSTEMS INC.

Lab

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13926179

A video processing device includes a rate control module to determine more accurate initial quantization parameters at each scene switching point and to adjust the QP parameters in response to scene changes using a sum of variances metric and an estimated picture encoding cost metric from a coding complex estimation block. To determine a first quantization parameter set, a sum of variances metric and an estimated picture encoding cost metric for an initial set pictures of a video stream are used. A bit allocation module is to set a target bit allocation for infra-encoded pictures as substantially proportional to the sum of variances metric and substantially inversely proportional to the estimated picture encoding cost metric, and set a target bit allocation for forward predictive and bi-predictive pictures as substantially proportional to the estimated picture encoding cost metric and substantially inversely proportional to the sum of variances metric.

VisionAI hardwareH04N 19/124H04N 19/142H04N 19/149H04N 19/154H04N 19/179H04N 19/198

AI classification

AI hardware0.95
Vision0.70
Knowledge representation0.13
Evolutionary computation0.03
Machine learning0.00
Planning0.00
Speech0.00
Natural language0.00

Ownership

VIXS SYSTEMS INC.

assignment · 306810608

Assignors

LI, YING, ZHAO, XU GANG

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

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