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Welcome to the July edition of the TC10 newsletter.
In this issue, in addition to the information concerning the ICDAR workshops and the doctoral consortium, you can also find the call for papers and the job offers. As you know, the accepted papers at ICDAR have been officially announced. Now it is the time to prepare the submissions for the workshops, including GREC and MANPU. Indeed, many relatively decent "borderline" papers could also find their way to the workshops. Concerning GREC, please take into account that if you would like to resubmit a rejected paper from ICDAR, the paper length is 2 pages (it is an extended abstract). After the workshop, as usual, you can prepare the LNCS post-proceedings. Moreover, please be aware that in this edition, the extended abstracts will be included within the ICDAR proceedings and be published by Conference Publishing Services. For this reason, the schedule has had to be updated, and the new deadline is August 1st.
GREC workshops provide an excellent opportunity for researchers and practitioners at all levels of experience to meet colleagues and to share new ideas and knowledge about graphics recognition methods. Graphics Recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, comics, maps, architectural plans, musical scores, mathematical notation, tables, diagrams, etc.
The aim of this workshop is to maintain a very high level of interaction and creative discussions between participants, maintaining a "workshop" spirit, and not being tempted by a "mini-conference" model.
GREC 2017 will continue the tradition of past workshops held at the Penn State University (USA), Nancy (France), Jaipur (India), Kingston (Canada), Barcelona (Spain),, Hong Kong (China), Curitiba (Brazil), La Rochelle (France), Seoul (Corea), Lehigh (USA) and Nancy (France).
The workshop will comprise several sessions dedicated to specific topics related to graphics in document analysis and graphic recognition. For each session, there will be an invited presentation describing the state of the art and stating the open questions for the session's topic, followed by a number of short presentations that will contribute by proposing solutions to some of the questions or presenting results of the speaker's work. Each session will be concluded by a panel discussion.
Topics - Analysis and interpretation of graphical documents, such as: Engineering drawings, floorplans, mathematical expressions, comics, maps, music scores, patents, diagrams, charts, tables, etc. - Recognition of graphic elements, such as symbols, logos, stamps, dropcaps, drawings, etc. - Identification and localization of graphical mark-ups and annotations in written documents. - Raster-to-vector techniques. - Graphics-based information retrieval. - Historical graphics recognition and indexing. - Forensics (Writer identification/verification) in graphic documents. - Description of complete systems for interpretation of graphic documents. - Datasets and performance evaluation in graphics recognition. - Authoring, editing, storing and presentation systems for graphics multimedia documents. - 3-D models from multiple 2-D views (line drawings). - Digital ink processing. - Sketch recognition and understanding. - Camera-based graphics recognition. - Graphics recognition in born digital documents. - Analysis of graphics on new digital interfaces. - Graphics detection and recognition in real scenes.
The Second International Workshop on coMics ANalysis, Processing and Understanding (MANPU) November 10, 2017 Kyoto, Japan http://manpu2017.imlab.jp/
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.
Topics - Comics Image Processing - Comics Analysis and Understanding - Comics Recognition - Comics Retrieval and Spotting - Comics Enrichment - 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
Deadline Title and abstract submission due: July 19, 2017 Paper submission due: July 26, 2017 (Accepted papers will be included within ICDAR proceedings and be published by Conference Publishing Services)
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
IWCDF 2017 - 1st International Workshop on Computational Document Forensics in conjunction with ICDAR 2017 12 November, 2017 Kyoto, Japan http://iwcdf2017.univ-lr.fr
Deadline: 15 July 2017
Everywhere around the world, industries and government processes are being more and more digitized. Document management systems and digital safe-boxes are particularly concerned by these questions, since documents generally remain the basis of many decisions for transactions, contracts, communication,... Documents also remain the proofs for many legal issues. As a consequence, it becomes absolutely essential to develop computational forensic science applied to documents and to create the conditions for protecting documents, for confirming their authenticity and for detecting frauds.
The First International Workshop on Computational Document Forensics aims at addressing the theoretical and practical works related to this field and creating a space for discussions between people working on this issues in different areas such as document and speech processing, digital security, biometry, forensic sciences…
Instructions to Authors Papers should not exceed 5 printed pages in IEEE format Proceedings will be included in ICDAR proceedings and be published by Conference Publishing Services.
Topics of Interest include, but not limited to - Prevention of forgeries in documents - Detection of forged documents - Detection of fake documents - Detection of forgeries in printed and rescanned documents - Authentication of documents - Forgery localisation - Copyright protection - Watermarking - Digital signatures - Handwriting and signature authentication
Important Dates Paper Submission Due : July, 15th Notification : August, 10th Camera ready : September, 1st
Workshop Chairs Jean-Marc Ogier, University of La Rochelle, France Utpal Garain, Indian Statistical Institue, India Apostolos Antonacopoulos, University of Salford, UK
Program Chairs Nicolas Sidere, University of La Rochelle, France Chang-Tsun Lin University of Warwick, UK
Industrial Chairs Vincent Poulain d'Andecy, Yooz, France
Program Committee (To be confirmed) Ahmad Montaser Awal , Ariad Next, France Rainer Böhme , University of Innsbruck, Austria Ahmed Bouridane, University of Northumbria, UK Joseph Chazalon, University of La Rochelle, France Mickael Coustaty, University of La Rochelle, France Ali Dehghantanha, University of Salford, UK Andreas Dengel, DFKI, Germany Jana Dittmann, Otto-von-Guericke Universität Magdeburg, Germany David Doerman, DARPA, USA David Fernandez, ICAR Vision, Spain Jiwu Huang, Shenzhen University, Chine Edward J. Delp, Purdue University Xufeng Lin, Charles Sturt University, Australia Josep Llados, Computer Vision Centre Barcelona, Spain Nasir Memon, New York University, USA Alessandro Piva, University of Florence, Italy Faisal Shafait, National University of Sciences and Technology, Pakistan Oriol Terrades Ramos , CVC, Spain Nicole Vincent, University of Paris Descartes, France
Submission deadline: July 15th, 2017 [EXTENDED]
OST 2017 : The FIRST ICDAR WORKSHOP ON OPEN SERVICES AND TOOLS held during the INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR 2017). November 10-11, 2017, Kyoto, Japan http://diuf.unifr.ch/diva/ost2017
Scope The 1st ICDAR Workshop on Open Services and Tools for Document Analysis (ICDAR-OST) is a two-day event which aims at promoting open tools, software, open services (for processing, evaluation or visualization), as well as facilitating public dataset usage, in the domain of Document Image Analysis Research, building on the experience of our community and of other ones. Such tools, softwares, services, formats or datasets should observe the principles of being reusable (I can use it on my data), transferable (I can use it on my premises) and reproducible (I can obtain the same results).
The accepted contributions are presented during interactive pitch and demo sessions, enabling authors to advertise their work, identify potential issues and solutions in their approach, as well as igniting collaboration with other participants. While this is encouraged, releasing tools with a free/open-source license is not required.
ICDAR-OST is a two-day workshop. The first day comprises interactive pitch and demo sessions, group brainstormings, and a keynote speech of Pascal MONASSE (ipol.im editor, co-chair of ICPR RRPR workshop ). The second day features a hackathon to enable participants to collaborate on issues identified during the first day.
Paper Submission Papers should be formatted with the style files/details available at Manuscript Templates for Conference Proceedings . Paper size is US letter. By submitting a manuscript to ICDAR2017 OST, authors agree to adhere the IAPR Statement of Ethics . Papers must be submitted using dedicated submission system . Papers should contain up to 4 pages + a short demo video if relevant.
The accepted papers will be be included in ICDAR proceedings and be published by Conference Publishing Services.
We offer two different submission formats: 1. ICDAR Reproducible Research Companion Papers, which must accompany a paper submitted to the main conference and detail the technical aspects of the software developed and openly released. This format is adapted from the ICPR RRPR Workshop  and will allow authors who release their methods to explain how to reuse them, provide examples and showcase, what they can achieve. Furthermore, papers should either include a section in the paper, or explanation on the public repository how reported results can be reproduced. Papers accepted in this format will get a special listing on the workshop’s website and a “Verified Reproducible Research” badge should be added to the main conference paper [to be confirmed].
2. Original Software Papers, which introduce a newly released method, tool, service or format. Authors can submit papers to promote and showcase finished or ongoing work that are publicly available, preferably under an open source license. Details about installation, code source availability, documentation and evolution will be expected is this format promoting the dissemination of reusable software.
Topics of interest include, but are not limited to: - Fully Open Source Tools - Web Services for Document Image Analysis - Collaborative Platforms - Creating Ground Truth - Performance Evaluation - Coordination systems for DAR - Deployment of document image processing tools for production - All methods or tools related to Document Image Analysis Research in general
Important dates - Submission deadline: July 15th, 2017 [EXTENDED] - Notification of acceptance: July 21st, 2017 - Camera ready: August 15th, 2017 - Workshop date: November 10-11, 2017
Committee Main Organizers - Marcel Würsch, University of Fribourg, Switzerland - Joseph Chazalon, Université de La Rochelle, France
Program Committee Chairs - Marcus Liwicki, University of Fribourg, Switzerland - Mickaël Coustaty, Université de La Rochelle, France - Bart Lamiroy, Université de Lorraine, France - Daniel Lopresti, Lehigh University, USA
Program Committee - Apostolos Antonacopoulos, University of Salford, UK - Miguel Colom, CMLA, ENS Cachan, France - Markus Ebbecke, Insiders, Germany - Jihad El-Sana, Ben-Gurion University of the Negev, Israel - Thierry Géraud, LRDE, EPITA, France - Bertrand Kerautret, Université de Lorrainem France - Pascal Monasse, LIGM, École des Ponts ParisTech , France - Günter Mühlberger, University of Innsbruck, Austria - Marçal Rusiñol, Computer Vision Center / Universitat Autònoma de Barcelona, Spain - Karim Sayadi, University Pierre and Marie Curie Paris, France - Fotini Simistira, University of Fribourg, Switzerland - Daniel Stöckl Ben Ezra, École Pratique des Hautes Études (EPHE) Paris, France - Vincent Poulain d’Andecy, ITESOFT-M4 - Yooz, France - Markus Ebbecke, Insiders Technologies, Germany
Nine workshops and three tutorials will be offered at ICDAR 2017. Please see below a list of these Workshops and the names of the corresponding organizers.
Workshops - HDI 2017: First International Workshop on Human-Document Interaction Jean-Christophe Burie, Mickaël Coustaty, Dimosthenis Karatzas and Koichi Kise - CBDAR 2017: 7th International Workshop on Camera-Based Document Analysis and Recognition Lluis Gomez-Bigorda, Muhammad Muzzamil Luqman and Dimosthenis Karatzas - MANPU 2017: 2nd International Workshop on coMics Analysis, Processing and Understanding Jean-Christophe Burie, Toshihiko Yamasaki and Motoi Iwata - WML ICDAR: Workshop on Machine Learning Umapada Pal and Eric Granger - HIP 2017: 4th International Workshop on Historical Document Imaging and Processing Andreas Fischer, Angelika Garz, Kengo Terasawa and Bill Barrett - IWCDF 2017: 1st International Workshop on Computational Document Forensics Jean-Marc Ogier, Utpal Garain and Apostolos Antonacopoulos - ICDAR-OST: 1st International Workshop on Open Services and Tools for Document Analysis Marcel Würsch and Joseph Chazalon - GREC: 12th International Workshop on Graphics Recognition Alicia Fornés and Bart Lamiroy - MOCR: 6th International Workshop on Multilingual OCR Venu Govindaraju, Prem Natarajan, Santanu Chaudhury and Srirangaraj Setlur
We are looking forward to your submissions for these Workshops. We also solicit your gracious support in circulating this information among your students, colleagues and scientific/research community to give it higher visibility.
Michael Blumenstein & Umapada Pal ICDAR-2017 Workshop Co-Chairs (Michael.Blumenstein@uts.edu.au, firstname.lastname@example.org)
ICDAR Doctoral Consortium (Deadline extension)
New IMPORTANT DATES - Submission deadline: September 1st, 2017 - Acceptance notification and Mentor assignment: September 15th, 2017 - Final material due: October 15th, 2017 - Doctoral Consortium: November 12th, 2017
In 2011, the first Doctoral Consortium in the Document Analysis community was organized in conjunction with the International Conference on Document Analysis and Recognition (ICDAR). This has led to successful successor events at ICDAR 2013 and ICDAR 2015. The tradition of having a Doctoral Consortium as a satelite event to the ICDAR main conference will further be continued at ICDAR 2017 in Kyoto, Japan.
The goal of the ICDAR 2017 Doctoral Consortium is to create an opportunity for Ph.D. students to test their research ideas, present their current progress and future plans, and receive constructive criticism and insights related to their future work and career perspectives. A mentor (a senior researcher who is active in the field) will be assigned to each student to provide individual feedback. In addition, students will have the opportunity to present an overview of their research plan during a special poster session.
Participation in the ICDAR 2017 Doctoral Consortium will be limited to 25 students. Prospective participants are encouraged to submit their application by July 15 (submission procedure to be announced). The Doctoral Consortium Chairs will then review all applications received. Preference will be given to students who are at a stage in their studies most likely to benefit (i.e., they have identified a research direction and published some initial results, but the thesis is not yet set in stone).
Participation to the Doctoral Consortium will be free for all accepted students, i.e., there will be no extra registration fees!
The ICDAR 2017 Doctoral Consortium will take place the day before the main conference, i.e., on Sunday, November 12.
We are looking forward to your participation!
Véronique Eglin and Rafael Dueire Lins TC-10/11 Educational Officers
IJDAR Special Issue: Deep Learning for Document Analysis and Recognition
In recent years, applying Deep Learning techniques to Document Analysis and Recognition (DAR) tasks has produced significant performance gains. These have included impressive advances in handwriting recognition, word-spotting in document images, document segmentation, and text detection in natural scenes.
This special issue aims to report new advances in DAR using deep learning methods. Articles presenting reviews, perspectives, new methods and applications in DAR are cordially invited.
Topics of interest include, but are not limited to uses of Deep Learning for: - Document image processing and segmentation - Layout analysis - Character and text recognition - Scene text detection and recognition - Writer identification and signature analysis - Document retrieval - Context modeling - Graphics and symbol recognition - Other DAR tasks
Paper submissions are due AUGUST 31, 2017.
For further information, please see the Call for Submissions.
Engineer / PostDoc position in Deep Learning for Handwriting Recognition (LITIS Laboratory– Campus du Madrillet – Normandie Rouen University, France)
Context As for many applications of computer vision, significant progress have been achieved these last years in the field of Handwriting Recognition, thanks to Deep Learning and Recurrent Neural Networks. Research at LITIS are conducted in this direction [1,2,3]. However, despite these progress, a reading system architecture is still composed of multiple components organized sequentially (a typical architecture includes: layout analysis of the document image, handwriting recognition, language processing). Deep learning approaches are now the state of art for any of these tasks, but their integration into a single system has not been explored much [4,5,6]. The Machine Learning team at LITIS is involved in a common laboratory with one industrial partner to develop new technologies for handwriting recognition using Mobile capturing devices like smart phones. The industrial partner has launched a capturing application with document workflow management facilities. LITIS will contribute to develop handwriting recognition technologies for field reading (titles, dates, etc…), indexation, and classification of documents by their textual content.
Missions The engineer or postdoc recruited will be in charge of developing a Machine Learning based processing platform so as to implement a full recognition chain dedicated to handwritten documents recognition (image processing, recognition, language processing). He (she) will contribute to the progress of the technology, considering the expected application needs and performance. The successful applicant should have a strong record in statistical machine learning, and have experience in one popular platform and programming language in the field, so as to design, develop and make the prototype evolve. He (she) will also be involved in the specification process of data collection scenario and the design of learning and test datasets for various target languages and various use case of the application at end (Information Retrieval, Personalization, etc…).
Skills Computer Engineer, with record on Machine Learning or PhD in machine learning, demonstrates ability to work in a team, curious and rigorous spirit esprit. Technical skills : C/C++, Anaconda/Python, Tensor Flow /CNTK, Keras, and other librairies (Numpy, OpenCV, Kaldi ..) required for Deep Learning.
Contact : Thierry.Paquet@univ-rouen.fr Place : LITIS Laboratory– Campus du Madrillet – Normandie Rouen University Duration: renewable 18 month contract, starting september 2017
Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion.
The Department of Information Technology has approximately 280 employees and provides education and research of the highest international quality. Roughly 4,000 students study here each year, and about 30 research teams are based here. The strong focus on research impacts and provides an excellent foundation for undergraduate education at the department. The department is building on activities in IT that have been carried on at Uppsala University since the mid 1960s. The department hosts UPPMAX (Uppsala Multidisciplinary Center for Advanced Computational Science), Uppsala University's resource of high-performance computers, large-scale storage and know-how of high-performance computing. UPPMAX is one of the six centers in the national metacenter Swedish National Infrastructure for Computing (SNIC). For more information, see www.it.uu.se and www.uppmax.uu.se.
The Centre for Image Analysis has a long tradition of theoretical and applied research and graduate education in computerized image analysis and scientific visualization. The focus is on image processing as such, but also on developing better methods, algorithms and systems for applications within primarily life sciences, medicine, and digital humanities. For more information, see www.cb.uu.se.
Assignments/Project description: The PhD student will be working in a project aiming at analysis of handwritten text manuscripts using computational methods from image analysis and linguistics. It sets out to develop a manuscript analysis technology providing automatic tools for large-scale transcription, linguistic analysis, digital palaeography and generic data mining of historical manuscripts.
The PhD student will focus on the development of methods for semi-automatic transcription, where new word spotting and transcription techniques will be developed. The idea is to develop a useful transcript tool that can be used by researchers in digital humanities but also for cord sourcing This will involve both the use of state of the art machine learning techniques and GUI development for the transcription tool as well as applying state of the art HCI methods.
Qualifications: The candidates must have an MSc degree in computer science or related areas relevant to the PhD topics. Good programming skills are required and expertise in digital image processing/analysis and machine learning is meriting. The PhD position is highly interdisciplinary and an understanding and/or interest in digital humanities applications is meriting. Good communication skills in English, both spoken and written, are required.
Appointment period: The position is for four years, but may be extended by teaching and department duties (at most 20%). The PhD education also includes participation in courses related to the research subject.
How to apply: The applicant should include a letter describing her- or himself and motivating why applying for the position, relevant qualifications, and research interests. The application should also include a CV, copies of relevant certificates, degrees and grades, the MSc thesis and other documents (e.g., letter(s) of recommendation and a list of reference persons). We would also like to know the earliest possible date for starting.
Rules governing Ph.D. candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university's rules and guidelines http://regler.uu.se/search/?hits=30&languageId=1&search-language_en=English
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Pay: According to local agreement for PhD students. Starting: As soon as possible, temporary position. Working hours: 100 %
For further information about the position please contact Doc. Anders Hast, email@example.com, +46-70-1679717.
You are welcome to submit your application no later than 2017-08-20, UFV-PA 2017/2708.
Are you considering moving to Sweden to work at Uppsala University? If so, you will find much information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact the International Faculty and Staff Services at firstname.lastname@example.org.
We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.
Placement: Department of Information Technology Type of employment: Full time , Temporary position longer than 6 months Pay: Fixed pay Number of positions: 1 Working hours: 100 % Town: Uppsala County: Uppsala län Country: Sweden
Union representative: Ellena Papaioannou, Seko 018-471 3315 Per Sundman, Saco-rådet 018-471 1485 Suzanne Borén Andersson, TCO/ST 018-471 6251
We would like to remind you that the TC10 and TC11 Web sites always welcome contributions of new datasets or other resources related to the community. We would like to encourage all the TC10 and TC11 members to submit such material to the TC10 and TC11 for archiving. The availability of datasets, ground truth and performance evaluation tools online is not only good practice, but also a requirement for a field to progress.
We would like make a special request to the organizers of recent and future competitions. Independently of whether you have the competition datasets and evaluation tools available through other Web sites, please consider archiving them with TC10 / TC11 as well. Web sites often go off-line and useful resources are frequently lost forever.