IAPR TC11 Newsletter 2018 12
Click on the buttons below to view sections of the newsletter.
- Message from the Editor
- Dates and Deadlines
- Upcoming Conferences and Events
- New Book on Graphics Recognition (by KC Santosh)
- ICDAR 2019: Call for Papers (repost)
- ICPRAI 2020: Preliminary Call for Papers, Exhibitions, and Sponsors
- Pattern Recognition Special Issue on Scene Text Reading and its Applications (STRA - *repost*)
- IJDAR: Latest Issue (Vol. 21, Issue 4) *(repost)*
- MDPI Journal of Imaging: Special Issue on Document Image Processing *(repost)*
- IJDAR Discount for IAPR Members *(repost)*
- Datasets *(repost)*
- Faculty Positions at the University of Michigan (USA) *(repost)*
- Student Industrial Internship Opportunities (IAPR - *repost*)
Happy New Year’s Eve! Hope that this finds everyone well.
ICDAR 2019. The paper submission deadline for our flagship conference ICDAR 2019 is now fast approaching (Feb. 15th). ICDAR 2019 is being held in beautiful Sydney, Australia by General Chairs Michael Blumenstein and Umapada Pal. Ching Y. Suen is the Honarary Chair for ICDAR 2019. Please consider submitting work to the conference.
Other Submission Opportunities. Another paper submission opportunity is the Pattern Recognition journal Special Issue on Scene Text Reading (submissions accepted Feb. through Mar. 15th). In this edition you will also find a preliminary call for papers, exhibitors and sponsors for the second ICPRAI 2020 conference, which will be held in Zhongshan, China.
Book on Graphics Recognition. For the first time in awhile, we have a new book to announce. The book is by KC Santosh, on the subject of Graphics Recognition. You can find more information in the ‘Books’ section of the newsletter.
Thanks and Farewell. Sadly, this will be my last TC-11 Newsletter, as I am stepping down from my post as the TC-11 Communications Officer. I want to thank all of the TC-11 Officers I’ve worked with, particularly Dimos, Gernot, and Masa who have kindly and patiently provided support and information whenever I needed it. I also wish to thank everyone who submitted postings, identified errors and omissions, sent me notes of thanks, and took the time to read the TC-11 newsletter this past couple of years.
It has been an honor to serve the TC-11 Community as your Communications Officer. My humblest thanks to all of you.
In closing, I want to wish you all a Happy Holidays, and all the very best in the New Year.
Richard Zanibbi, TC-11 Communications Officer (2017-2018)
( email@example.com )
- Feb. 15: Paper submission deadline for ICDAR 2019. (Call for Papers)
- Feb. 15 - Mar. 31: Submissions for the Pattern Recognition Special Issue on Scene Text Reading
Upcoming Conferences and Events
- ICDAR 2019, Sydney, Australia (September 22-25, 2019)
2020 and Later
- ICFHR 2020. Dortmund, Germany (September 8-10, 2020)
- DAS 2020. Wuhan, China (May 17-20, 2020)
- ICPRAI 2020. Zhongshan, China (May 12-15, 2020)
- ICFHR 2022. Hyderabad, India (December, 2022)
New Book on Graphics Recognition (by KC Santosh)
KC Santosh, Document Image Analysis: Current Trends and Challenges in Graphics Recognition, Springer, 2018. ISBN: 978-981-13-2338-6.
Table of Contents
- Document Image Analysis
- Graphics Recognition
- Graphics Recognition and Validation Protocol
- Statistical Approaches
- Structural Approaches
- Hybrid Approaches
- Syntactic Approaches
- Conclusion and Challenges
Description (taken from the Foreward by Jean-Marc Ogier):
The book starts with a clear and concise overview of document image analysis; the author puts a position about where does graphics processing lie (Chap. 1), which is immediately followed by graphics recognition (Chap. 2) in detail. The best part of the book is it summarizes the rich state-of-the-art techniques in addition to those international contests that have been happening in every 2 years since the 90s. This summary helps readers understand the scope and importance of graphics recognition in the domain. Another important issue is the author framed the need for validation protocol (Chap. 3) so that it allows a fair comparison that let us review our advancements then and now. Three different fundamental approaches, viz. statistical (Chap. 4), structural (Chap. 5), and syntactic (Chap. 7), are comprehensively described for graphics recognition by taking state-of-the-art (up to date) research techniques in addition to the hybrid approaches (Chap. 6). For a complex graphics recognition problem, structural approaches are found to be appropriate and have been well covered in the book. Interestingly, even though there exist a few works on the syntactic approach for graphical symbol recognition, the author sets a position and its importance as the image description happens to be close to human understanding language. The summary of the book (Chap. 8) is succinct and to the point […] I strongly believe the book has the potential to attract a large audience.
ICDAR 2019: Call for Papers (repost)
The 15th International Conference on Document Analysis and Recognition will be held in Sydney, Australia from September 20-25, 2019. ICDAR is the premier international gathering for researchers, scientist and practitioners in the document analysis community.
Feb 15, 2019 Paper Submission Deadline May 15, 2019 Author Notification Jun 15, 2019 Camera-Ready Papers Due
ICDAR was established nearly three decades ago, and is endorsed by IAPR-TC 10/11. The 15th International Conference on Document Analysis and Recognition (ICDAR 2019) is being organised by University of Technology Sydney (UTS), Australia and will be held at the International Convention Centre (ICC) in Sydney. The conference General Chairs are Michael Blumenstein and Umapada Pal.
Accepted papers will be published by IEEE Computer Society’s Conference Publishing Services (CPS) and included in the IEEE Xplore Digital Library.
Topics of Interest include, but not limited to:
- Document Image Processing
- Physical and logical layout analysis
- Character and text recognition
- Pen‐based document analysis
- Historical document analysis
- Document analysis systems
- Symbol and graphics recognition
- Document forensics
- Human document interaction
- Scene text detection and recognition
- Document retrieval
- Signature verification and writer identification
- Multimedia documents
- Performance evaluation
- Machine learning for document analysis
- Applications of document analysis
- Cognitive issues of documents
- Semantic information extraction from documents
- Document summarization classification and translation
- Document simulation and synthesis
Submission and Review
ICDAR 2019 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 accepted for the conference will be allocated 6 pages in the proceedings, with the option of purchasing up to 2 extra pages for AUD 100 per page. This will have to be paid after paper acceptance and at the time of registration. The length of the submitted manuscript should match that intended for final publication. Therefore, if you are unwilling or unable to pay the extra charge you should limit your paper to 6 pages. Otherwise the page limit is 8 pages.
ICPRAI 2020: Preliminary Call for Papers, Exhibitions, and Sponsors
Following the success of the First ICPRAI (http://www.icprai2018.com), in Montreal, Canada, CENPARMI (Centre for Pattern Recognition and Machine Intelligence) of Concordia University will organize a second ICPRAI in 2020 in Zhongshan, China in collaboration with its scientific and cultural communities. Zhongshan is a hub in the Guangdong-Hong Kong-Macau Greater Bay Area. It is the hometown of great historical figure Dr. Sun Yat-Sen, and has emerged as a beautiful city of innovation and vitality. Hosted in Zhongshan City, ICPRAI 2020 is organized by CENPARMI and journal editors/scientists:
Ching Y. Suen, Yuan Y. Tang, Edwin Hancock, Patrick Wang, Farida Cheriet, Cheng-Lin Liu, Yue Lu, Nicole Vincent, Pong C. Yuen; Igor Gurevich, Xiaoyi Jiang, Adam Krzyzak, Seong-Whan Lee, Jay Liebowitz, Qin Lu, Umapada Pal, Kam-Fai Wong, plus numerous prominent leaders and researchers from China and the International Community.
Technical Session Tracks
- Track 1: Recognition of different types of patterns, handwriting, document, text, face, fingerprint, iris, brain, and strategic objects and targets.
- Track 2: Computer vision and image processing, bio-medical analysis, 2D and 3D images and graphics, healthcare and tomography, audio/video, and multimedia applications.
- Track 3: Artificial Intelligence, machine learning, neural networks, SVM, deep learning and classification techniques, language processing, semantic analysis, computational linguistics, e-learning and innovative teaching methods.
- Track 4: Security and forensic studies, mobile applications, big data, small sample size, supercomputing, data mining and performance evaluation, intelligent systems and practical applications.
- Track 5: Industrial Applications of PRAI, intellectual properties and ownership, innovation and technology transfer, financial trends and analysis, traffic analysis and smart transportation systems, robotics and autonomous vehicles.
Best papers will be selected for a Special Issue in the International Journal of Pattern Recognition and Artificial Intelligence. Papers of general interest will be considered for new books in the Book Series of Language Processing, Pattern Recognition, and Intelligent Systems (http://www.worldscientific.com/series/scpl), and depending on the submissions, we may also propose Special Issues to other journals on papers of special interest on emerging topics.
Nicola Nobile, ICPRAI Secretariat
( firstname.lastname@example.org )
Pattern Recognition Special Issue on Scene Text Reading and its Applications (STRA - repost)
Feb 15 - Mar 31, 2019 Paper Submission Period
Text in scenes is an important source of information, since it conveys high-level semantics and is almost seen everywhere. These unique traits make scene text reading, involving automated detection and recognition of texts in scene images and videos, a very active research topic in the communities of computer vision, pattern recognition, and multimedia. Recently, these communities have observed a significant surge of research interests and efforts regarding the topic of Scene Text Reading, which is evidenced by the huge number of participants and submissions of ICDAR competitions as well as papers published on top journals and conferences.
Meanwhile, various real-world applications, such as product search, augmented reality, video indexing and autonomous driving, have formed strong demands for technique and systems that can effectively and efficiently extract and understand textual information in scene images and videos. This special issue will feature original research papers related to the theories, ideas, algorithms and systems for Scene Text Reading, together with applications to real-world problems.
The topics of interest include (but not limited to) the following:
- Basic theories and representations regarding text in natural scenes
- Scene text detection methods for scene images
- Scene text recognition methods for scene images
- End-to-end reading systems for scene images
- Text detection and recognition in born-digital images
- Text detection, recognition and tracking in videos
- Script identification in the wild
- Text information mining from web images and videos
- Quality assessment and text image/video restoration methods
- Benchmark datasets and performance evaluation methods
- Applications related to scene text understanding
- Survey papers on scene text understanding
- Dr. Xiang Bai (email@example.com) Huazhong University of Science and Technology, China
- Dr. Dimosthenis Karatzas (firstname.lastname@example.org) Universitat Autónoma de Barcelona, Spain
- Dr. Shijian Lu (Shijian.Lu@ntu.edu.sg) Nanyang Technological University, Singapore
- Dr. C. V. Jawahar (email@example.com) IIIT Hyderabad, India
IJDAR: Latest Issue (Vol. 21, Issue 4) (repost)
The December 2018 issue of IJDAR has been released. Click on the links below to go directly to the Springer Link page for each article.
Table of Contents
- Building efficient CNN architecture for offline handwritten Chinese character recognition. Zhiyuan Li, Nanjun Teng, Min Jin & Huaxiang Lu
- A comprehensive study of hybrid neural network hidden Markov model for offline handwritten Chinese text recognition. Zi-Rui Wang, Jun Du, Wen-Chao Wang, Jian-Fang Zhai & Jin-Shui Hu
- Augmented incremental recognition of online handwritten mathematical expressions. Khanh Minh Phan, Anh Duc Le, Bipin Indurkhya & Masaki Nakagawa
- A combined strategy of analysis for the localization of heterogeneous form fields in ancient pre-printed records. Aurélie Lemaitre, Jean Camillerapp, Cérès Carton & Bertrand Coüasnon
- KERTAS: dataset for automatic dating of ancient Arabic manuscripts. Kalthoum Adam, Asim Baig, Somaya Al-Maadeed, Ahmed Bouridane & Sherine El-Menshawy
MDPI Journal of Imaging: Special Issue on Document Image Processing (repost)
The MDPI Journal of Imaging Special Issue on Document Image Processing has been released! The Guest editors are Ergina Kavallieratou and Laurence Likforman-Sulem. All articles are open access, and may be downloaded from the link below:
Table of Contents
- Editorial: Document Image Processing
(L. Likforman Sulem and E. Kavallieratou)
- Non-Local Sparse Image Inpainting for Document Bleed-Through Removal
(Muhammad Hanif, Anna Tonazzini, Pasquale Savino and Emanuele Salerno)
- A New Binarization Algorithm for Historical Documents
(Marcos Almeida, Rafael Dueire Lins, Rodrigo Bernardino, Darlisson Jesus and Bruno Lima)
- Slant Removal Technique for Historical Document Images
(Ergina Kavallieratou, Laurence Likforman-Sulem and Nikos Vasilopoulos)
- Text/Non-Text Separation from Handwritten Document Images Using LBP Based Features: An Empirical Study
(Sourav Ghosh, Dibyadwati Lahiri, Showmik Bhowmik, Ergina Kavallieratou and Ram Sarkar)
- A Holistic Technique for an Arabic OCR System
(Farhan M. A. Nashwan, Mohsen A. A. Rashwan, Hassanin M. Al-Barhamtoshy, Sherif M. Abdou and Abdullah M. Moussa)
- Efficient Query Specific DTW Distance for Document Retrieval with Unlimited Vocabulary
(Gattigorla Nagendar, Viresh Ranjan, Gaurav Harit and C. V. Jawahar)
- Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods
(Mahesh Jangid and Sumit Srivastava)
- Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia
(Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun and Jean-Marc Ogier)
- Transcription of Spanish Historical Handwritten Documents with Deep Neural Networks
(Emilio Granell, Edgard Chammas, Laurence Likforman-Sulem, Carlos-D. Martínez-Hinarejos, Chafic Mokbel and Bogdan-Ionuţ Cîrste)
- A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
(Anirban Mukhopadhyay, Pawan Kumar Singh, Ram Sarkar and Mita Nasipuri)
- DocCreator: A New Software for Creating Synthetic Ground-Truthed Document Images
(Nicholas Journet, Muriel Visani, Boris Mansencal, Kieu Van-Cuong and Antoine Billy)
- Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
(Oussama Zayene, Sameh Masmoudi Touj, Jean Hennebert, Rolf Ingold and Najoua Essoukri Ben Amara)
Ergina Kavallieratou, Guest Editor, MDPI Special Issue on Document Image Processing
( firstname.lastname@example.org )
IJDAR Discount for IAPR Members (repost)
IAPR is pleased to announce a partnership agreement with Springer, the publisher of IJDAR, the International Journal on Document Analysis and Recognition. This new agreement will allow IAPR members to receive a subscription to the electronic version of IJDAR at a discount of nearly 50%. For additional details, see the links below:
TC-11 maintains a collection of datasets that can be found online in the TC-11 Datasets Repository.
If you have new datasets (e.g., from competitions) that you wish to share with the research community, please contact the TC-11 Dataset Curator (contact information is below).
Andreas Fischer (TC-11 Dataset Curator)
Faculty Positions at the University of Michigan (USA) (repost)
Come work with us! The University of Michigan School of Information is hiring tenure-track faculty in multiple areas this year. We also have an outstanding Presidential Postdoctoral Fellowship program that can serve as a fast track to assistant professor.
Please see the links below - for questions about any of these positions, please contact the chair of the faculty search committee, Dr. Kevyn Collins-Thompson (email@example.com).
- Tenure-track faculty positions in data science
- Tenure-track faculty positions in digital curation and archival studies
- Tenure-track faculty position in social media
- U-M Presidential Post-Doctoral Fellowship Program (PPFP)
General UMSI faculty job openings:
The University generally seeks applicants whose research, teaching, and service will contribute to diversity and equal opportunity in higher education. The program is particularly interested in scholars with the potential to bring to their research and undergraduate teaching the critical perspective that comes from their non-traditional educational background or understanding of the experiences of groups historically underrepresented in higher education.
The mission of the School of Information is to create and share knowledge to help people use information – with technology – to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.
The School is home to vibrant research and teaching programs, with 50 FTE professors, and over 800 students. We offer four degrees: a Ph.D.; a Master of Science in Information; a Master of Health Informatics; and a Bachelor of Science in Information. In the fall of 2019 we expect to launch a new online degree: Master of Applied Data Science.
Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation’s top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.1 billion and an endowment valued at more than $10.9 billion.
U-M EEO/AA Statement: The University of Michigan is an equal opportunity/affirmative action employer.
Dr. Kevyn Collins-Thompson, Chair of the Faculty Search Committee
( firstname.lastname@example.org )
Student Industrial Internship Opportunities (IAPR - repost)
IAPR’s Industrial Liaison Committee is pleased to announce the opening of its Company Internship Brokerage List.
The web page lists internship opportunities for students at different levels of education and specialism. We expect many additional internship opportunities to be listed here as the community becomes more aware of the site.
IAPR Company Internship Brokerage List:
Bob Fisher, Chair, IAPR Industrial Liason Committee
( email@example.com )
Call for Contributions: To contribute news items, please send a short email to the editor. Contributions might include conference and workshop announcements/updates/reports, career opportunities, book reviews, or anything else of interest to the TC-11 community.
Subscription: This newsletter is sent to subscribers of the IAPR TC11 mailing list. To join the TC-11 mailing list, please click on this link: Join the TC-11 Mailing List. To manage your subscription, please visit the mailing list homepage: TC-11 Mailing List Homepage.