MACHINE LEARNING BASED CONTENT-AWARE IMAGE FRAME ENCODING

An electronic device and method for content-aware image encoding using a machine learning (ML) model are provided. The electronic device receives at least one foreground region and at least one background region from a first image frame. The electronic device determines a set of first macroblocks as...

Full description

Saved in:
Bibliographic Details
Main Authors KULKARNI, ASHWIN, SHANMUGAM, SANKAR
Format Patent
LanguageEnglish
Published 05.10.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
Online AccessGet full text

Cover

More Information
Summary:An electronic device and method for content-aware image encoding using a machine learning (ML) model are provided. The electronic device receives at least one foreground region and at least one background region from a first image frame. The electronic device determines a set of first macroblocks associated with the detected at least one foreground region and a set of second macroblocks associated with the detected at least one background region, determines a bit allocation control parameter associated with the determined set of second macroblocks, updates the determined bit allocation control parameter based on an application of a first trained ML model, and encodes the first image frame based on the updated bit allocation control parameter to obtain a second image frame so that a first image quality index associated with the first image frame matches a second image quality index associated with the second image frame within a threshold range.
Bibliography:Application Number: US202217708369