MANPU 2017

The Second International Workshop on
coMics ANalysis, Processing and Understanding

November 10, 2017
Kyoto, Japan

To be held in conjunction with the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017).

CFP | Important dates | Registration | Scope and Topics | Datasets | Paper submissions |
Program (new!) | Organizers | Contact

Call for Papers

Comics is a medium constituted of images combined with text and other visual information in order to narrate a story. Nowadays, comic books are a widespread cultural expression all over the world. The market of comics continues to grow, for example, the market in Japan is about 4.25 billion USD in 2015. Moreover, 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, and so on), the drawing of which depends on the style of the author and presents a large variability. Therefore comics image analysis is not a trivial problem and is still immature compared with other kinds of image analysis.

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Important Dates

Title and abstract submission due:   July 26, 2017 (extended!)
Paper submission due:   August 2, 2017 (extended!)
Notification of acceptance:   August 17, 2017
Camera-ready paper due:   September 1, 2017
Workshop:   November 10, 2017
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Registration

Registration should be done via the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017) Registration page.

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Scope and Topics

The scope of this workshop includes, but is not limited to,
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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/index_en.php

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Paper Submissions

Submission and Review
All papers will have to be submitted through the EasyChair submission system on or before the submission deadline. MANPU 2017 will follow a double blind review process. Authors should not include their names and affiliations anywhere in the manuscript. Authors should also ensure that their identity is not revealed indirectly by citing their previous work in the third person, and omitting including acknowledgements until the camera-ready version.

Paper format and length
Papers should be formatted with the style files/details available at Manuscript Templates for Conference Proceedings. Paper size is US letter. Only PDF files are accepted. A complete paper should be submitted in the proper format. The manuscript length is 6 pages maximum.

Notes
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 2017, 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 2017 requires that at least one of the authors registers for the workshop and presents the paper there.
MANPU 2017 does not allow submission of any additional supplementary file.

Submission site
Paper submissions for MANPU2017 will be handled through the Easy Chair conference management system. Please visit https://www.easychair.org/conferences/?conf=manpu2017.

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Program

At Seminar Room #3, 2nd Floor.

Opening
9:40 - 9:50
Oral Session 1
9:50 - 10:50
Accessible Comics for Visually Impaired People: Challenges and Opportunities
Frédéric Rayar (Computer Science Laboratory of Tours, France)
The Graphic Narrative Corpus (GNC): Design, Annotation, and Analysis for the Digital Humanities
Alexander Dunst, Rita Hartel (University of Paderborn, Germany), and Jochen Laubrock (University of Potsdam, Germany)
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario
Jill-Jênn Vie (RIKEN AIP Center for Advanced Intelligence, Japan), Florian Yger (LAMSADE - Université Paris-Dauphine, France), Ryan Lahfa (Mangaki, France), Hisashi Kashima (Kyoto University, Japan), Basile Clement, Thomas Chalumeau and Kévin Cocchi (Mangaki, France)
Coffee Break
10:50 - 11:00
Oral Session 2
11:00 - 12:00
Segmentation-free speech text recognition for comic books
Christophe Rigaud, Jean-Christophe Burie and Jean-Marc Ogier (University of La Rochelle, France)
Into the Colorful World of Webtoons: Through the Lens of Neural Networks
Ceyda Cinarel and Byoung-Tak Zhang (Seoul National University, South Korea)
Comic characters detection using deep learning
Van Nguyen, Christophe Rigaud and Jean-Christophe Burie (University of La Rochelle, France)

Lunch
12:00 - 13:30

Invited Talk 1
13:30 - 14:20
    Introduction to Manga Box: Manga App Business and Engineering
Daiki Suzuki (DeNA, Japan)
Manga Break
14:20 - 14:30
Invited Talk 2
14:30 - 15:20
    Invited Talk 2 Title (TBA)
Sohei Wakisaka (The University of Tokyo, Japan)
Manga Break
15:20 - 15:30
Poster Session (short presentations)
15:30 - 15:50
Short presentations in 3 minutes
Poster Session
15:50 - 17:00
Sketch-based Manga Retrieval using Deep Features
Rei Narita, Koki Tsubota, Toshihiko Yamasaki and Kiyoharu Aizawa (The University of Tokyo, Japan)
An overview of comics research in computer science
Olivier Augereau, Motoi Iwata and Koichi Kise (Osaka Prefecture University, Japan)
Comic story analysis based on genre classification
Yuki Daiku, Olivier Augereau, Motoi Iwata and Koichi Kise (Osaka Prefecture University, Japan)
Histogram of Exclamation Marks and Its Application for Comics Analysis
Sotaro Hiroe and Seiji Hotta (Tokyo University of Agriculture and Technology, Japan)
cGAN-based Manga Colorization Using a Single Training Image
Paulina Hensman and Kiyoharu Aizawa (The University of Tokyo, Japan)
Story Pattern Analysis based on Scene Order Information in Four-Scene Comics
Miki Ueno and Hitoshi Isahara (Toyohashi University of Technology, Japan)
Closing
17:00 - 17:10

Note: The closing time of the museum is 18:00.
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Organizers

General Co-Chairs
Jean-Christophe Burie             University of La Rochelle, France
Motoi Iwata             Osaka Prefecture University, Japan
Toshihiko Yamasaki             The University of Tokyo, Japan

Program Co-Chairs
Yusuke Matsui             National Institute of Informatics, Japan
Miki Ueno             Toyohashi University of Technology, Japan
Tien-Tsin Wong             The Chinese University of Hong Kong, Hong Kong

Advisory Board
Kiyoharu Aizawa                 The University of Tokyo, Japan
Koichi Kise                 Osaka Prefecture University, Japan
Jean-Marc Ogier                 University of La Rochelle, France

Program Committee
Ying Cao     City University of Hong Kong, Hong Kong
Wei-Ta Chu     National Chung Cheng University, Taiwan
Mathieu Delalandre     Tours University, France
Alexander Dunst     Paderborn University, Germany
Seiji Hotta     Tokyo University of Agriculture and Technology, Japan
Rynson W. H. Lau     City University of Hong Kong, 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 Prefecture University, Japan
Mitsuharu Nagamori     University of Tsukuba, Japan
Satoshi Nakamura     Meiji University, Japan
Nhu Van Nguyen     University of La Rochelle, France
Srikanta Pal     University of La Rochelle, France
Christophe Rigaud     University of La Rochelle, France
Akihiko Shirai     Kanagawa Institute of Technology, Japan
Takaaki Shiratori     Oculus Research, USA
Yasuyuki Sumi     Future University Hakodate, Japan
John Walsh     Indiana University, USA
Yingqing Xu     Tsinghua University, China

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Contact

Workshop Secretariat:
manpu2017-inquiry [at] m.cs.osakafu-u.ac.jp
[at] -> @
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Supported by
Kyoto Seika University International Manga Research Center and Kyoto International Manga Museum