Variable-length segment copy for compressing index map of palette coding in screen content coding

Yao Jen Chang, Ching Chieh Lin, Chao Hsiung Hung, Jih Sheng Tu, Chun Lung Lin, Pei Hsuan Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

With the emerging applications, such as screen mirroring, and remote play, screen contents coding (SCC) plays important role in video coding recently. Since the characteristics of screen contents are different from nature contents, palette coding is adopted in the current draft standard of HEVC-SCC. The basic idea of the palette coding is to represent the colors of a coding unit (CU) by the indices of selected representative colors. This paper presents that the produced index maps exhibit considerably high spatial correlation. To utilize the spatial correlation among indices, a general 2-D search method is proposed firstly for index map compression. To reduce the memory access and implementation complexity, three simplified search schemes are proposed to balance the coding performance and complexity. The experimental results show that the three simplified methods can achieve 0.6%, 0.5% and 0.9% BD-rate saving respectively, as compared to HM-13.0 + RExt-6.0 test model.

Original languageEnglish
Title of host publicationImage and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers
EditorsMariano Rivera, Brendan McCane, Xinguo Yu, Thomas Bräunl
PublisherSpringer Verlag
Pages148-159
Number of pages12
ISBN (Print)9783319294506
DOIs
Publication statusPublished - 2016
Event7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015 - Auckland, New Zealand
Duration: 2015 Nov 252015 Nov 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9431
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015
Country/TerritoryNew Zealand
CityAuckland
Period15-11-2515-11-27

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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