Trcollage: Efficient image collage using tree-based layer reordering

Shiguang Liu, Xiaobing Wang, Ping Li, Junyong Noh

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper proposes an efficient image collage approach called TrCollage using tree-based layer reordering, which takes into account not only the efficiency of the collage processing but also the quality of the final collage effects. Besides, our tree-based TrCollage also meets the enhanced demands from the rapid development of mobile technology, which call for robust solutions for efficient picture collage without computation-intensive processing, e.g. graph-cut, saliency detection. The experimental results have shown the efficiency and effectiveness of our tree-based TrCollage with high-quality image collage effects applying layer reordering.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages454-455
Number of pages2
ISBN (Electronic)9781538626368
DOIs
Publication statusPublished - 2 Jul 2017
Externally publishedYes
Event7th International Conference on Virtual Reality and Visualization, ICVRV 2017 - Zhengzhou, China
Duration: 21 Oct 201722 Oct 2017

Publication series

NameProceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017

Conference

Conference7th International Conference on Virtual Reality and Visualization, ICVRV 2017
Country/TerritoryChina
CityZhengzhou
Period21/10/1722/10/17

Keywords

  • Image collage
  • Layer reordering
  • Mobile graphics
  • Tree

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Media Technology

Cite this