Title:
IMAGE ENCODING USING NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2022/114669
Kind Code:
A2
Abstract:
As a disclosure relating to a method for encoding an image (video) by using a neural network, the present embodiment provides an image encoding method for performing versatile video coding (VVC), wherein a ternary tree is determined among multi-type trees (MTTs) by using a light-weight neural network (LNN) on the basis of an explicit attribute and a derivative attribute extracted in a coding unit (CU) encoding process, in order to reduce computational complexity for intra prediction.
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Inventors:
PARK SANG HYO (KR)
Application Number:
PCT/KR2021/016973
Publication Date:
June 02, 2022
Filing Date:
November 18, 2021
Export Citation:
Assignee:
KYUNGPOOK NAT UNIV IND ACADEMIC COOP FOUND (KR)
International Classes:
G06T9/00
Attorney, Agent or Firm:
LEE, Chulhee (KR)
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