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).
Highlights
Manga are Japanese black-and-white comics (Fig. 1)
edge orientation histogram (EOH) is not new, but we found that it is effective to sketch based manga retrieval when screentone removed is applied in advance
Note that integral images are utilized to enable the fast computing of features in the same manner as in [35]. We show this simple representation achieves better accuracy than previous sketch-based retrieval methods, and we confirm that EOH-based description gives a good solution to the manga image representation problem
Summary
Manga are Japanese black-and-white comics (Fig. 1). Users of online stores must retrieve titles from large collections when they purchase new manga. Current e-manga archives offer very limited search support, i.e., keyword-based search by title or author. They are not suitable for large-scale search and searches cannot take the images (contents) of manga into consideration. For this reason, applying contentbased multimedia retrieval techniques to manga search would have the potential to make the manga-search experience more intuitive, efficient, and enjoyable
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