IAPR TC11 Newsletter 2021 04
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- Message from the Editor
- Dates and Deadlines
- Upcoming Conferences and Events
- ICDAR 2021
- ICDAR 2021: Call for Doctoral Consortium
- ICDAR 2021: Workshops *(repost)*
- GREC 2021 Workshop: Call for Papers
- CBDAR 2021 Workshop: Call for Papers
- The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health
- Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends
- TC11 Datasets Repository *(repost)*
Dear TC11 members,
To commemorate the contributions of Prof. Guy Lorette to the IAPR community, a memorial section has been published in the April newsletter of the IAPR, which also includes all the farewell messages we have received from you. Prof. Lorette will be truly missed and our thoughts are with his family and friends.
After over a year of virtual conferences, we are keeping our fingers crossed for meeting again in person at ICDAR 2021 in Lausanne, Switzerland. It is now possible to register for the conference. Please note that papers can still be submitted to the satellite workshops, with deadlines set during May. Calls for papers for the GREC 2021 and CBDAR 2021 workshops are included in this newsletter. Furthermore, applications to participate in the Doctoral Consortium can be submitted by May 15th.
There is currently an important decision to make, whether or not ICDAR should be held annually instead of bi-annually in the future, following the ongoing DAR strategy discussions. As a member of TC11, you should have received an email with the subject “Voting for Annual ICDAR” to participate in the online vote. If not, please contact the TC11 Chair, Faisal Shafait (firstname.lastname@example.org).
To conclude the newsletter, we would like to draw attention to two new books related to document analysis and recognition, which have recently been published in the Series in Machine Perception and Artificial Intelligence (SMPAI) by World Scientific, namely “The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health” (Volume 88) edited by Réjean Plamondon, Angelo Marcelli, and Miguel Angel Ferrer and “Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends” (Volume 89) edited by Andreas Fischer, Marcus Liwicki, and Rolf Ingold.
Andreas Fischer, TC11 Communications Officer
( email@example.com )
- May 15: Application deadline for the Doctoral Consortium at ICDAR 2021
- June 10: Paper submission ACPR 2021
Upcoming Conferences and Events
2022 and Later
- IGS 2021. Las Palmas de Gran Canaria, Spain (June, 2022)
- ICFHR 2022. Hyderabad, India (December, 2022)
ICDAR 2021: Call for Doctoral Consortium
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, ICDAR 2015, ICDAR 2017 and ICDAR 2019. The tradition of having a Doctoral Consortium as a satelite event to the ICDAR main conference will furtherbe continued at ICDAR 2021 in Lausanne, Switzerland.
The goal of the ICDAR 2021 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 2021 Doctoral Consortium will be limited to 25 students. Prospective participants are encouraged to submit their application by May 15th, 2021. The Doctoral ConsortiumChairs 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 2021 Doctoral Consortium will take place the day before the main conference, i.e., on Wednesday, September 07.
Students willing to participate should submit a participation package in a SINGLE pdf file. The submission package should be prepared using the LaTeX or MS Word templates (see ICDAR DC webpage at https://icdar2021.org/calls/doctoral-consortium/) and should contain the following information:
- Student’s name
- Title of your thesis
- Supervisor of the thesis
- Starting and expected finalization date of the PhD
- Short research plan (1-2 pages about the work)
- Short CV (1-2 pages)
The research plan should contain an overview of the PhD topic, the steps made so far (including a list of publications), and the actions planned before finishing the PhD, especially novel research ideas to be pursued.
Submission should be done before May 15th, 2021 to:
- Submission deadline: May 15th, 2021
- Acceptance notification and Mentor assignment: May 25th, 2021
- Mentoring period: May 26th to July 31st, 2021
- Final material due: August 1st, 2021
- Doctoral Consortium: September 7th, 2021
We are looking forward to your participation!
Nibal Nayef and Jean-Christophe Burie
Doctoral Consortium Chairs
ICDAR 2021: Workshops (repost)
During the pre-conference from September 5-7, 2021, several workshops related to document analysis and recognition will be held in conjunction with the ICDAR 2021 main conference:
- ICDAR 2021 Workshop on Graphics Recognition (GREC 2021, 14th edition)
- ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR 2021, 9th edition)
- ICDAR 2021 Workshop on Historical Document Imaging and Processing (HIP 2021, 6th edition)
- ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021, 4th edition)
- ICDAR 2021 Workshop on Computational Document Forensics (IWCDF 2021, 3rd edition)
- ICDAR 2021 Workshop on Future of Document Analysis and Recognition (FDAR 2021, 3rd edition)
- ICDAR 2021 Workshop on Human-Document Interaction (HDI 2021, 3rd edition)
- ICDAR 2021 Workshop on Machine Learning (WML 2021, 3rd edition)
- ICDAR 2021 Workshop on Open Services and Tools for Document Analysis (ICDAR-OST 2021, 3rd edition)
- ICDAR 2021 Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR 2021, 2nd edition)
- ICDAR 2021 Workshop on Computational Paleography (1st edition)
- ICDAR 2021 Workshop on Document Image and Language (WDIL 2021, 1st edition)
- ICDAR 2021 Workshop on Document Visual Question Answering (DocVQA 2021, 1st edition)
- ICDAR 2021 Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO 2021, 1st edition)
For any question, please contact the Workshop Chairs, Elisa Barney Smith and Umapada Pal:
GREC 2021 Workshop: Call for Papers
14th International Workshop on Graphics Recognition (GREC)
September 5-6, 2021
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, musical scores, sketches, maps, architectural plans, 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 2021 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), Nancy (France), Kyoto (Japan) and Sydney (Australia).
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.
We encourage the authors to submit papers on the topics detailled below.
- 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.
- Graphics analysis in medical images.
Guidelines for authors
For this edition, authors are invited to submit two types of paper:
- Full papers describing complete works of research (12-15 pages). They will undergo a rigorous review process with a minimum of 2 reviews considering the originality of work.
- Short papers providing an opportunity to report on research in progress and to present novel positions on graphic recognition (up to 6 pages).
Accepted papers (full and short papers) will be published in a Springer LNCS volume dedicated to all ICDAR workshops.
The submited papers will respect the same policy and conditions of ICDAR 2021 conference papers. Papers should be formatted according to the instructions and style files provided by Springer. The LaTeX template for LNCS can be downloaded on the GREC Website (see Guidelines for authors at https://grec2021.univ-lr.fr/index.php/guidelines-for-authors/).
- Abstract submission: May 10th, 2021 (hard deadline)
- Full paper submission: May 17th, 2021 at 11:59PM Pacific Time Zone (hard deadline)
- Acceptance notification: June 20th, 2021
- Camera ready due: June 30th, 2021
- Workshop: September 05th-06th, 2021
More information at: http://grec2021.univ-lr.fr/
General Chair: Jean-Christophe Burie
Program Co-Chair: Richard Zanibbi, Motoi Iwata, Pau Riba
CBDAR 2021 Workshop: Call for Papers
ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR 2021, 9th edition)
Lausanne (Switzerland), on September 06, in conjunction with ICDAR 2021
The aim of the CBDAR workshop is to provide a natural link between document image analysis and the wider computer vision community by attracting cutting edge research on the topic of Camera-Based Document Analysis and Recognition.
Topics of Interest:
- Camera based acquisition of written information
- Restoration of camera captured documents (dewarping, deblurring, etc.)
- Camera-based document analysis and recognition
- Document image quality assessment / estimation
- Image degradation models for camera captured characters/documents
- Text extraction from scene images
- Text in video
- Document image retrieval
- Device constrained techniques and algorithms
- Performance evaluation and metrics
- Mobile OCR
- Smartphone-based document scanning applications
- Feature extraction in camera capture situations
- Submission Deadline (normal paper) : 15 May 2021
- Submission Deadline (ICDAR resubmission): 17 May 2021
- Acceptance Notification: 21 June 2021
- Camera Ready Version: 05 July 2021
- CBDAR 2021 Workshop: Monday, 06 September 2021
Submission Information & Publication of Proceedings
CBDAR 2021 invites the submission of original, previously unpublished work and also welcomes ICDAR 2021 re-submissions.
Workshop proceedings with accepted papers will be published by Springer Lecture Notes in Computer Science (as is the case for the main conference ICDAR 2021).
Find more info please visit the workshop website and follow the twitter handle of the CBDAR workshop @cbdar_workshop: https://cbdar2021.univ-lr.fr
Muhammad Muzzamil Luqman and Sheraz Ahmed
CBDAR 2021 Organizers
The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health
Series in Machine Perception and Artificial Intelligence (Volume 88)
World Scientific, December 2020, 448 pages
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.5 and 3 dimensions. It also vividly reports the most advanced applications to handwriting analysis and recognition, signature and writer verification, gesture recognition and calligraphy generation, evaluation of motor skills, improvement/degradation with aging, handwriting learning, education and developmental deficits, prescreening of children with ADHD (Attention Development and Hyperactivity Disorder), monitoring of concussion recovery, diagnosis and monitoring of Alzheimer’s and Parkinson’s diseases and aging effects in speech and handwriting.
The volume provides a unique and useful source of references on the lognormality principle, an update on the most recent advances and an outlook at the most promising future developments in e-Security, e-Learning and e-Health.
Réjean Plamondon (Polytechnique Montréal, Canada)
Angelo Marcelli (Università di Salerno, Italy)
Miguel Ángel Ferrer (Universidad de Las Palmas de Gran Canaria, Spain)
Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends
Series in Machine Perception and Artificial Intelligence (Volume 89)
World Scientific, November 2020, 268 pages
In recent years, libraries and archives all around the world have increased their efforts to digitize historical manuscripts. To integrate the manuscripts into digital libraries, pattern recognition and machine learning methods are needed to extract and index the contents of the scanned images.
The unique compendium describes the outcome of the HisDoc research project, a pioneering attempt to study the whole processing chain of layout analysis, handwriting recognition, and retrieval of historical manuscripts. This description is complemented with an overview of other related research projects, in order to convey the current state of the art in the field and outline future trends.
This must-have volume is a relevant reference work for librarians, archivists and computer scientists.
Andreas Fischer (University of Fribourg, Switzerland)
Marcus Liwicki (University of Fribourg, Switzerland)
Rolf Ingold (University of Fribourg, Switzerland)
TC11 Datasets Repository (repost)
TC11 maintains a collection of datasets that can be found online in the TC11 Datasets Repository.
If you have new datasets (e.g., from competitions) that you wish to share with the research community, please use the online upload form. For questions and support, please contact the TC11 Dataset Curator (contact information is below).
Joseph Chazalon (TC11 Dataset Curator)
( firstname.lastname@example.org )
Call for Contributions: To contribute news items, please send a short email to the editor, Andreas Fischer (). Contributions might include conference and workshop announcements/updates/reports, career opportunities, book reviews, or anything else of interest to the TC-11 community.
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