Title | ||
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Qualitative Organization of Photo Collections via Quartet Analysis and Active Learning |
Abstract | ||
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We introduce the use of qualitative analysis and active learning to photo album construction. Given a heterogeneous collection of photos, we organize them into a hierarchical categorization tree (C-tree) based on qualitative analysis using quartets instead of relying on conventional, quantitative image similarity metrics. The main motivation is that in a heterogeneous collection, quantitative distances may become unreliable between dissimilar data and there is unlikely a single metric that is well applicable to all data. Our qualitative analysis utilizes multiple distance measures and applies them where reliable comparisons are possible. Then from the C-tree, we develop an active learning scheme for fine-grained photo scene classification, allowing the selection of representative photos for layout construction which better reflects user intent. Finally, the selected photos are laid out in a comic-like arrangement based on a style template library and layout optimization. Experiments demonstrate that our method is efficient, user-centered, and produces photo albums that are more preferable in comparison with previous approaches.
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Year | DOI | Venue |
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2019 | 10.20380/GI2019.06 | Proceedings of the 45th Graphics Interface Conference on Proceedings of Graphics Interface 2019 |
Keywords | Field | DocType |
Active Learning, C-tree, Comic-like Photo Collage | Active learning,Computer science,Human–computer interaction | Conference |
ISBN | Citations | PageRank |
978-0-9947868-4-5 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
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Yuan Gan | 1 | 75 | 4.03 |
yan zhang | 2 | 67 | 20.55 |
zhengxing sun | 3 | 252 | 45.27 |
Hao Zhang | 4 | 3037 | 115.96 |