Sparcity-induced structured transform in intra video coding for screen contents

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


In this paper, we propose a novel transform method based on learning a sparse model of residue in intra video coding. The proposed method considers generation of transformed coefficients locally grouped in a block as well as the sparsity of the coefficients, which can improve the coding efficiency of the screen content videos such as computer synthetic videos. The proposed method trains the transform on-line with using the residue, applied to the current frame. It is demonstrated with experiments that the proposed method improves the coding gain over HEVC Range extension standard.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings
EditorsYo-Sung Ho, Yong Man Ro, Junmo Kim, Fei Wu, Jitao Sang
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319240770
StatePublished - 2015
Event16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
Duration: 16 Sep 201518 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th Pacific-Rim Conference on Multimedia, PCM 2015
Country/TerritoryKorea, Republic of

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.


  • Computer synthetic videos
  • HEVC
  • HEVC range extension
  • Screen contents
  • Sparsity-induced structured transform


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