We rescheduled Important dates based on additional information from ICPR.
Moreover, the style file is changed from ICPR style format to LNCS style format as described in Paper submissions (the volume of contents are similar between them).
Please check them.
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.
|Title and abstract submission due:||June 6, 2022|
|Paper submission due:||June 6, 2022|
|Notification of acceptance:||June 30, 2022|
|Workshop:||August 21, 2022|
|Camera-ready paper due:||September 2, 2022|
Registration should be done via the 26th IAPR International Conference on Pattern Recognition (ICPR 2022) website.
See detail on ICPR 2022 website.
eBDtheque consists of 100 images with ground truth for panels, speech balloons, tails, text lines, leading characters.
Manga109 consists of over 20 thousand images of 109 volumes (21,142 images).
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 2022 will follow a single-blind review process. The accepted papers will be published in the LNCS.
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. Only Full paper (12-15 pages) is accepted.
Papers should describe original work on an MANPU-related topic, and authors must adhere to the IAPR Statement of Ethics.
By submitting a manuscript to MANPU 2022, 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 2022 requires that at least one of the authors registers for the workshop and presents the paper there.
MANPU 2022 does not allow submission of any additional supplementary file.
Paper submissions for MANPU2022 will be handled through the Easy Chair conference management system. Please visit https://www.easychair.org/conferences/?conf=manpu2022.
9:00 - 9:10
9:10 - 10:00
Current Status of "Manga Plus by SHUEISHA"
Yuta Momiyama (Shueisha, Japan)
10:00 - 10:30
Oral Session 1
10:30 - 11:30
Towards Content-Aware Pixel-Wise Comic Panel Segmentation
Hikaru Ikuta, Runtian Yu, Yusuke Matsui and Kiyoharu Aizawa (The University of Tokyo, Japan),
Automatic Reading Order Detection of Comic Panels
Yunlong Zhang and Seiji Hotta (Tokyo University of Agriculture and Technology, Japan)
11:30 - 13:00
Oral Session 2
13:00 - 14:00
Estimation of Unknown Words Using Speech and Eye Gaze When Reading Aloud Comics
Taro Takaike, Motoi Iwata and Koichi Kise (Osaka Metropolitan University, Japan)
Analyzing Textual Sources Attributes of Comics Based on Word Frequency and Meaning
Ryota Higuchi, Ryosuke Yamanishi and Mitsunori Matsushita (Kansai University, Japan)
14:00 - 14:30
Oral Session 3
14:30 - 16:30
Can deep learning approaches detect complex text? Case of Onomatopoeia in comics albums
John Benson Louis, Jean-Christophe Burie and Arnaud Revel (La Rochelle University, France)
Automated Emotion Recognition through Graphical Cues on Comics at Character Scale
Ruddy Theodose, Jean-Christophe Burie and Arnaud Revel (La Rochelle University, France)
Considering the Meanings and Effects of Frames without Onomatopoeias in Japanese Comics
Riko Sugita, Minami Okajima, Takanori Komatsu and Satoshi Nakamura (Meiji University, Japan)
A Method to Annotate Who Speaks a Text Line in Manga and Speaker-Line Dataset for Manga109
Tsubasa Sakurai, Risa Ito, Kazuki Abe and Satoshi Nakamura (Meiji University, Japan)
16:30 - 16:40
|Jean-Christophe Burie||University of La Rochelle, France|
|Motoi Iwata||Osaka Metropolitan University, Japan|
|Miki Ueno||Osaka Institute of Technology, Japan|
|Rita Hartel||Paderborn University, Germany|
|Tien-Tsin Wong||The Chinese University of Hong Kong, Hong Kong|
|Ryosuke Yamanishi||Kansai University, Japan|
|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|
|Olivier Augerau||Ecole nationale d’ingénieurs de Brest, France|
|John Bateman||University of Bremen, Germany|
|Ying Cao||City University of Hong Kong, Hong Kong|
|Mathieu Delalandre||Tours University, France|
|Alexander Dunst||Paderborn 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|
|Xueting Liu||The Chinese University of Hong Kong, Hong Kong|
|Muhammad Muzzamil Luqman||University of La Rochelle, France|
|Yusuke Matsui||The University of Tokyo, Japan|
|Mitsunori Matsushita||Kansai University, 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|
|John Walsh||Indiana University, USA|
|Yingqing Xu||Tsinghua University, China|
|Endorsed by IAPR|