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人工知能学会メーリングリスト購読者各位
大阪公立大学の岩田です．
2024年8月30日にギリシアのアテネで開催される国際会議ICDAR2024の併設ワークショップ
The 6th International Workshop on coMics ANalysis, Processing and Understanding (MANPU2024)
のご案内です．
漫画を対象とした研究を，幅広く応募しています．
卒論や修論を英語化しての投稿など，ご検討いただけますと幸いです．
論文の投稿締切は以下の通りです：
Title and abstract submission due: April 23rd, 2024
Paper submission due: April 30th, 2024
投稿の詳細については，下記のテキストや，MANPU2024のウェブサイトをご覧ください．
https://manpu2024.imlab.jp/
よろしくお願い申し上げます．
======= CFP – ICDAR WS 6th International Workshop on coMics ANalysis, Processing and Understanding =======
Call for papers
The 6th International Workshop on
coMics ANalysis, Processing and Understanding
(in conjunction with ICDAR 2024)
August 30, 2024, Grand Hyatt Hotel, Athens, Greece
https://manpu2024.imlab.jp/
Comics is a medium constituted of images combining text and graphics elements. This different visual information is used by the authors to narrate a story. Nowadays, comic books are a widespread cultural expression all over the world and especially in the United States, European countries, and Asian countries. So, the terms of Comics include several categories such as Mangas, American Comics, and Franco-Belgian "Bandes Dessinées". Each category has its own graphic style. From the research point of view, comics images are attractive targets because the structure of a comics page includes various elements (such as panels, speech balloons, captions, leading characters, text, onomatopoeia, and so on). The design of these elements strongly depends on the creativity of the author and his graphic universe. Consequently, the drawings present a very large variability. Therefore, comics image analysis is not a trivial problem and is still immature compared with other areas of application of image analysis and pattern recognition. Comics offer many challenges for researchers. For example, the detection and recognition of the characters in a comics page are not trivial since the main character can be a human being, an animal, or even an imaginary character. In this context, the "pattern recognition" task is a tricky problem. Comics analysis has aroused interest among researchers. The number of scientific papers dealing with comics analysis has significantly increased in international conferences and journals during the last ten years. The original approaches proposed in these papers in the area of computer vision, pattern recognition, and machine learning, show that comics analysis and understanding can be considered as a research topic. Moreover, the drawings of some comics are very similar to the ones of cartoons. So, some approaches can be applied to both media.
Important Dates
-------------------
Title and abstract submission due: April 23rd, 2024
Paper submission due: April 30th, 2024
Notification of acceptance: May 27th, 2024
Camera-ready paper due: June 10th, 2024
Workshop: August 30th, 2024
Scope and Topics
-------------------
The scope of this workshop includes, but is not limited to,
- Comics Image Processing
- Comics Analysis and Understanding
- Comics Recognition
- Comics Retrieval and Spotting
- Comics Enrichment
- Born-digital comics
- Reading Behavior Analysis of Comics
- Comics Generation
- Copy protection - Fraud detection
- Physical/Digital Comics Interfaces
- Cognitive Processing and Comprehension of Comics
- Linguistics Analysis of Comics
Datasets
-------------------
To evaluate the proposed works, participants will be able to use the following datasets that are publicly available. Researchers can request to download them at each website.
- eBDtheque consists of 100 images with ground truth for panels, speech balloons, tails, text lines, leading characters.
website: http://ebdtheque.univ-lr.fr/
- Manga109 consists of over 20 thousand images of 109 volumes (21,142 images).
website: http://www.manga109.org/en/
Paper Submissions
-------------------
* Submission and Review
All papers will have to be submitted through the EasyChair submission system on or before the submission deadline. Authors can update their papers before the submission deadline. MANPU 2024 will follow a single-blind review process. The accepted papers will be published in the "ICDAR pre-conference volume" edited by Springer in the Lecture Notes in Computer Science (LNCS) series.
* Paper format and length
Papers should be formatted with the style files/details available at Information for Authors of Springer Computer Science Proceedings. Only PDF files are accepted. A complete paper should be submitted in the proper format. Papers accepted for the workshop will be allocated up to 15 pages (usually not counting references) in the proceedings. Submissions are expected to be in the range of 10-15 pages.
Information for Authors of Springer Computer Science Proceedings:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
The LaTeX template for LNCS can be downloaded here:
https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238648/data/v8
It is also available on Overleaf:
https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WtR5Hy5ua71
* Notes
Papers should describe original work on an MANPU-related topic. By submitting a manuscript to MANPU 2024, authors acknowledge that it has not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journals or conferences. Also authors confirm that no paper substantially similar in content has been or will be submitted to another conference or workshop during the review period. The acceptance of a paper to MANPU 2024 requires that at least one of the authors registers for the workshop and presents the paper there. MANPU 2024 does not allow submission of any additional supplementary file.
* Submission site
Paper submissions for MANPU2024 will be handled through the Easy Chair conference management system.
Please visit https://www.easychair.org/conferences/?conf=manpu2024.
General Co-Chairs
-------------------
Jean-Christophe Burie (University of La Rochelle, France)
Motoi Iwata (Osaka Metropolitan University, Japan)
Yusuke Matsui (The University of Tokyo, Japan)
Program Co-Chairs
-------------------
Rita Hartel (Paderborn University, Germany)
Tien-Tsin Wong (The Chinese University of Hong Kong, Hong Kong)
Ryosuke Yamanishi (Kansai University, Japan)
Advisory Board
-------------------
Kiyoharu Aizawa (The University of Tokyo, Japan)
Koichi Kise (Osaka Metropolitan University, Japan)
Jean-Marc Ogier (University of La Rochelle, France)
Toshihiko Yamasaki (The University of Tokyo, Japan)
Program Committee
-------------------
Olivier Augerau (Ecole nationale d’ingénieurs de Brest, France)
John Bateman (University of Bremen, Germany)
Ying Cao (ShanghaiTech University, China)
Wei-Ta Chu (National Chung Cheng University, Taiwan)
Alexander Dunst (TU Dortmund University, Germany)
Felix Giesa (Goethe University Frankfurt, Germany)
Seiji Hotta (Tokyo University of Agriculture and Technology, Japan)
Rynson W. H. Lau (City University of Hong Kong, Hong Kong)
Jochen Laubrock (University of Potsdam, Germany)
Tong-Yee Lee (National Cheng-Kung University, Taiwan)
Chengze Li (St. Francis University, Hong Kong)
Xueting Liu (The Chinese University of Hong Kong, Hong Kong)
Muhammad Muzzamil Luqman (University of La Rochelle, France)
Mitsunori Matsushita (Kansai University, Japan)
Tetsuya Mihara (University of Tsukuba, Japan)
Naoki Mori (Osaka Metropolitan University, Japan)
Mitsuharu Nagamori (University of Tsukuba, Japan)
Satoshi Nakamura (Meiji University, Japan)
Nhu Van Nguyen (University of La Rochelle, France)
Frédéric Rayar (Tours University, France)
Christophe Rigaud (University of La Rochelle, France)
Yasuyuki Sumi (Future University Hakodate, Japan)
Miki Ueno (The Kyoto College of Graduate Studies for Informatics, Japan)
John Walsh (Indiana University, USA)
Minshan Xie (The Chinese University of Hong Kong, Hong Kong)
Yingqing Xu (Tsinghua University, China)
Lvmin Zhang (Stanford University, USA)
Workshop Secretariat
-------------------
i-m-manpu2024-inquiry [at] ml.omu.ac.jp
[at] -> @
--
Motoi IWATA, Ph.D., Associate Professor
Intelligent Media Processing Group
Graduate School of Informatics
Osaka Metropolitan University
Sakai, Osaka, Japan
+81 72 254 9281
E-mail: imotoi@omu.ac.jp
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