Trcollage: Efficient image collage using tree-based layer reordering

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dc.contributor.authorLiu, Shiguangko
dc.contributor.authorWang, Xiaobingko
dc.contributor.authorLi, Pingko
dc.contributor.authorNoh, Junyongko
dc.date.accessioned2023-08-16T08:00:39Z-
dc.date.available2023-08-16T08:00:39Z-
dc.date.created2023-07-07-
dc.date.issued2017-10-
dc.identifier.citation7th International Conference on Virtual Reality and Visualization, ICVRV 2017, pp.454 - 455-
dc.identifier.issn2375-141X-
dc.identifier.urihttp://hdl.handle.net/10203/311593-
dc.description.abstractThis 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.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleTrcollage: Efficient image collage using tree-based layer reordering-
dc.typeConference-
dc.identifier.wosid000474762700111-
dc.identifier.scopusid2-s2.0-85066990122-
dc.type.rimsCONF-
dc.citation.beginningpage454-
dc.citation.endingpage455-
dc.citation.publicationname7th International Conference on Virtual Reality and Visualization, ICVRV 2017-
dc.identifier.conferencecountryCC-
dc.identifier.conferencelocationZhengzhou-
dc.identifier.doi10.1109/ICVRV.2017.00120-
dc.contributor.localauthorNoh, Junyong-
dc.contributor.nonIdAuthorLiu, Shiguang-
dc.contributor.nonIdAuthorWang, Xiaobing-
dc.contributor.nonIdAuthorLi, Ping-
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