{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sketch-based-manga-retrieval-using-manga109","title":"Sketch-based Manga Retrieval using Manga109 Dataset","arxiv_id":"1510.04389","date":"2015-10-15","proceeding":null,"authors":["Yusuke Matsui","Kota Ito","Yuji Aramaki","Toshihiko Yamasaki","Kiyoharu Aizawa"],"abstract":"Manga (Japanese comics) are popular worldwide. However, current e-manga\narchives offer very limited search support, including keyword-based search by\ntitle or author, or tag-based categorization. To make the manga search\nexperience more intuitive, efficient, and enjoyable, we propose a content-based\nmanga retrieval system. First, we propose a manga-specific image-describing\nframework. It consists of efficient margin labeling, edge orientation histogram\nfeature description, and approximate nearest-neighbor search using product\nquantization. Second, we propose a sketch-based interface as a natural way to\ninteract with manga content. The interface provides sketch-based querying,\nrelevance feedback, and query retouch. For evaluation, we built a novel dataset\nof manga images, Manga109, which consists of 109 comic books of 21,142 pages\ndrawn by professional manga artists. To the best of our knowledge, Manga109 is\ncurrently the biggest dataset of manga images available for research. We\nconducted a comparative study, a localization evaluation, and a large-scale\nqualitative study. From the experiments, we verified that: (1) the retrieval\naccuracy of the proposed method is higher than those of previous methods; (2)\nthe proposed method can localize an object instance with reasonable runtime and\naccuracy; and (3) sketch querying is useful for manga search.","url_abs":"http://arxiv.org/abs/1510.04389v1","url_pdf":"http://arxiv.org/pdf/1510.04389v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"quantization","task_name":"Quantization"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"tag","task_name":"TAG"}],"methods":[],"datasets_introduced":[{"slug":"manga109","name":"Manga109","full_name":"Manga109"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1510.04389","atlas_url":"https://app.syntology.ai/?focus=1510.04389","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}