Trcollage: Efficient image collage using tree-based layer reordering

Shiguang LIU, Xiaobing WANG, Ping LI, Junyong NOH

Research output: Chapter in Book/Report/Conference proceedingChapter

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. Copyright © 2018 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Original languageEnglish
Title of host publicationProceedings: 2017 International Conference on Virtual Reality and Visualization
Place of PublicationDanvers, MA
PublisherIEEE Computer Society
Pages454-455
ISBN (Print)9781538626368
DOIs
Publication statusPublished - 2018

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Processing
Image quality
Electronic equipment
Engineers

Citation

Liu, S., Wang, X., Li, P., & Noh, J. (2018). Trcollage: Efficient image collage using tree-based layer reordering. In Proceedings: 2017 International Conference on Virtual Reality and Visualization (pp. 454-455). Danvers, MA: IEEE Computer Society.