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Non-local Refinement of Directional Intra Predictor

  • Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In ongoing exploration of video compression beyond VVC capability by JVET in ISO/IEC and ITU-T, intra prediction is being further investigated to utilize more spatial neighbors to predict a current block in many different ways such as directional prediction, non-directional prediction, and offline-trained matrix-based prediction, etc.Noting that the intra prediction under the directional intra mode relies only on the local information, in this paper, we propose a non-local refinement of the predictor generated by the directional intra mode.For this purpose, a block vector of a neighboring block designates a non-local neighboring area for subsequent refinement of the predictor and the refinement is performed on a row and column basis by using predefined weights.Our experiment conducted under the all intra configuration using the first 65 frames of natural video sequences of ECM-11.0 shows 0.02% gain in Y channel, 0.04% and 0.09% loss in Cb and Cr channel.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Imaging Technology, IWAIT 2025
EditorsMasayuki Nakajima, Chuan-Yu Chang, Chia-Hung Yeh, Jae-Gon Kim, Kemao Qian, Phooi Yee Lau
PublisherSPIE
ISBN (Electronic)9781510688124
DOIs
StatePublished - 2025
Externally publishedYes
Event2025 International Workshop on Advanced Imaging Technology, IWAIT 2025 - Douliu City, Taiwan, Province of China
Duration: 6 Jan 20258 Jan 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13510
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2025 International Workshop on Advanced Imaging Technology, IWAIT 2025
Country/TerritoryTaiwan, Province of China
CityDouliu City
Period6/01/258/01/25

Keywords

  • Beyond VVC capability
  • Directional Intra Mode
  • Intra prediction
  • Video compression

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