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dc.contributor.authorZheng, Zhibinen_US
dc.contributor.authorZhang, Yanen_US
dc.contributor.authorMiao, Zhengen_US
dc.contributor.authorSun, Zhengxingen_US
dc.contributor.editorJohn Keyser and Young J. Kim and Peter Wonkaen_US
dc.date.accessioned2014-12-16T07:23:05Z
dc.date.available2014-12-16T07:23:05Z
dc.date.issued2014en_US
dc.identifier.isbn978-3-905674-73-6en_US
dc.identifier.urihttp://dx.doi.org/10.2312/pgs.20141253en_US
dc.description.abstractFor clear summary and efficient search of images for album, which carries a story of life record, we propose a new approach for quickview of album in comic-like layout via quartet analysis. How to organize the images in album and in what way to display images in collage are two key problems for album quickview. For the first problem, we take the idea of model organization method based on quartet analysis to construct categorization tree to organize the images; while for the second problem, we utilize the topological structure of categorization tree to decompose it into multiple groups of images and extract representative image from each group for subsequent collage. For the collage part, we choose comic-like layout to present collage because comic provides a concise way for storytelling and it has variablitiy in layout styles, which is suitable for album summary. Experiments demonstrate that our method could organize the images effectively and present images in collage with diverse styles as well.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.0 [Computer Processing and Computer Vision]en_US
dc.subjectGeneralen_US
dc.subjectImage displaysen_US
dc.titleAlbum Quickview in Comic-like Layout via Quartet Analysisen_US
dc.description.seriesinformationPacific Graphics Short Papersen_US


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