Sketch-based manga retrieval using manga109 dataset
Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer very limited search support, i.e., keyword-based search by title or author. To make the manga search experience more intuitive, efficient, and enjoyable, we propose a manga-specific image retrieval system. The pro...
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| Published in | Multimedia tools and applications Vol. 76; no. 20; pp. 21811 - 21838 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.10.2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer very limited search support, i.e., keyword-based search by title or author. To make the manga search experience more intuitive, efficient, and enjoyable, we propose a manga-specific image retrieval system. The proposed system consists of efficient margin labeling, edge orientation histogram feature description with screen tone removal, and approximate nearest-neighbor search using product quantization. For querying, the system provides a sketch-based interface. Based on the interface, two interactive reranking schemes are presented: relevance feedback and query retouch. For evaluation, we built a novel dataset of manga images, Manga109, which consists of 109 comic books of 21,142 pages drawn by professional manga artists. To the best of our knowledge, Manga109 is currently the biggest dataset of manga images available for research. Experimental results showed that the proposed framework is efficient and scalable (70 ms from 21,142 pages using a single computer with 204 MB RAM). |
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| AbstractList | Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer very limited search support, i.e., keyword-based search by title or author. To make the manga search experience more intuitive, efficient, and enjoyable, we propose a manga-specific image retrieval system. The proposed system consists of efficient margin labeling, edge orientation histogram feature description with screen tone removal, and approximate nearest-neighbor search using product quantization. For querying, the system provides a sketch-based interface. Based on the interface, two interactive reranking schemes are presented: relevance feedback and query retouch. For evaluation, we built a novel dataset of manga images, Manga109, which consists of 109 comic books of 21,142 pages drawn by professional manga artists. To the best of our knowledge, Manga109 is currently the biggest dataset of manga images available for research. Experimental results showed that the proposed framework is efficient and scalable (70 ms from 21,142 pages using a single computer with 204 MB RAM). |
| Author | Fujimoto, Azuma Ito, Kota Ogawa, Toru Yamasaki, Toshihiko Aramaki, Yuji Matsui, Yusuke Aizawa, Kiyoharu |
| Author_xml | – sequence: 1 givenname: Yusuke surname: Matsui fullname: Matsui, Yusuke email: matsui@hal.t.u-tokyo.ac.jp organization: The University of Tokyo – sequence: 2 givenname: Kota surname: Ito fullname: Ito, Kota organization: The University of Tokyo – sequence: 3 givenname: Yuji surname: Aramaki fullname: Aramaki, Yuji organization: The University of Tokyo – sequence: 4 givenname: Azuma surname: Fujimoto fullname: Fujimoto, Azuma organization: The University of Tokyo – sequence: 5 givenname: Toru surname: Ogawa fullname: Ogawa, Toru organization: The University of Tokyo – sequence: 6 givenname: Toshihiko surname: Yamasaki fullname: Yamasaki, Toshihiko organization: The University of Tokyo – sequence: 7 givenname: Kiyoharu surname: Aizawa fullname: Aizawa, Kiyoharu organization: The University of Tokyo |
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| Snippet | Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer very limited search support, i.e., keyword-based search by title or... |
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| SubjectTerms | Artists Comics Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Image management Image retrieval Interactive systems Manga Multimedia Information Systems Searching Special Purpose and Application-Based Systems |
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| Title | Sketch-based manga retrieval using manga109 dataset |
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