Hybrid Identification of Frame Areas in Manga Using Image Recognition and Microtask Crowdsourcing
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- MIHARA Tetsuya
- Faculty of Library, Information and Media Studies University of Tsukuba
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- ISHIKAWA Natsuki
- College of Media Arts, Science and Technology University of Tsukuba
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- TOYOTA Shohei
- Graduate School of Library, Information and Media Studies University of Tsukuba
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- NAGAMORI Mitsuharu
- Faculty of Library, Information and Media Studies University of Tsukuba
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- SUGIMOTO Shigeo
- Faculty of Library, Information and Media Studies University of Tsukuba
Bibliographic Information
- Other Title
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- 画像認識とマイクロタスク型クラウドソーシングを組み合わせたマンガのコマ領域の判定
Description
<p>Frames are the most fundamental objects in the expression of manga. Many technologies have been developed to identify frame areas from manga graphics, however, there is no universal method that can identify frames as well as human readers can from various types of manga expressions. We propose a hybrid identification method of frames that combines image recognition with microtask crowdsourcing. This hybrid method brings together the accuracy of human readers, and the efficiency of dispersed identification tasks.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2018 (0), 4M105-4M105, 2018
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390564238000865024
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- NII Article ID
- 130007423953
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed