Comic image understanding based on polygon detection

Luyuan Li; Yongtao Wang; Zhi Tang; Dong Liu

doi:10.1117/12.2003550

4 February 2013 Comic image understanding based on polygon detection

Luyuan Li, Yongtao Wang, Zhi Tang, Dong Liu

Proceedings Volume 8658, Document Recognition and Retrieval XX; 86580B (2013) https://doi.org/10.1117/12.2003550
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

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.

Citation Download Citation

Luyuan Li, Yongtao Wang, Zhi Tang, and Dong Liu "Comic image understanding based on polygon detection", Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580B (4 February 2013); https://doi.org/10.1117/12.2003550

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