DETERMINING ADAPTIVE QUANTIZATION MATRICES USING MACHINE LEARNING FOR VIDEO CODING

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 fra...

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Bibliographic Details
Main Authors SANG-HEE LEE, JAMES HOLLAND, ZHAN LOU, XIMIN ZHANG
Format Patent
LanguageEnglish
Published 17.04.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Summary: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.
Bibliography:Application Number: NL20212029548