Patent · US Active

Determining adaptive quantization matrices using machine learning for video coding

US12244807B2 · kind B2 · utility

0Cited by

2References

22Claims

0Family size

Assignee

Intel Corporation · US

Inventors

James M. Holland · Folsom, US
Sang-Hee Lee · Santa Clara, US
Ximin Zhang · San Jose, US
Zhan Lou · Shanghai, CN

Key dates

Filing date	Nov 30, 2020
Grant date	Mar 4, 2025
Priority date	—
Expiry date	Nov 30, 2040

Classification

Technology area (CPC H)Electricity
CPC primaryH04N19/176
WIPO fieldAudio-visual technology
WIPO sectorElectrical engineering

Abstract

Techniques related to adaptive quantization matrix selection using machine learning for video coding are discussed. Such techniques include applying a machine learning model to generate an estimated quantization parameter for a frame and selecting a set of quantization matrices for encode of the frame from a number of sets of quantization matrices based on the estimated quantization parameter.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.