
Proceedings Paper
Comic image understanding based on polygon detectionFormat | Member Price | Non-Member Price |
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Paper Abstract
Comic image understanding aims to automatically decompose scanned comic page images into storyboards and then
identify the reading order of them, which is the key technique to produce digital comic documents that are suitable for
reading on mobile devices. In this paper, we propose a novel comic image understanding method based on polygon
detection. First, we segment a comic page images into storyboards by finding the polygonal enclosing box of each
storyboard. Then, each storyboard can be represented by a polygon, and the reading order of them is determined by
analyzing the relative geometric relationship between each pair of polygons. The proposed method is tested on 2000
comic images from ten printed comic series, and the experimental results demonstrate that it works well on different
types of comic images.
Paper Details
Date Published: 4 February 2013
PDF: 11 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580B (4 February 2013); doi: 10.1117/12.2003550
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
PDF: 11 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580B (4 February 2013); doi: 10.1117/12.2003550
Show Author Affiliations
Zhi Tang, Peking Univ. (China)
Dong Liu, Peking Univ. (China)
Dong Liu, Peking Univ. (China)
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
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