Document Recognition and Retrieval XVII
NEW DEADLINE EXTENSION: July, 7th, 2009
Conference Chairs: Laurence Likforman-Sulem, Telecom ParisTech (France), Gady Agam, Illinois Institute of Technology
Program Committee: Apostolos Antonacopoulos, Univ. of Salford (United Kingdom); Elisa H. Barney Smith, Boise State Univ.; Kathrin Berkner, Ricoh Innovations, Inc.; Xiaoqing Ding, Tsinghua Univ. (China); David S. Doermann, Univ. of Maryland/College Park; Oleg Golubitsky, Univ. of Western Ontario (Canada); Jianying Hu, IBM Thomas J. Watson Research Ctr.; Marcus Liwicki, DFKI (Germany); Xiaofan Lin, Vobile Inc.; Daniel P. Lopresti, Lehigh Univ.; Hiroshi Sako, Hitachi, Ltd. (Japan); Lambert R. B. Schomaker, Univ. of Groningen (Netherlands); Sargur N. Srihari, Univ. at Buffalo; Venkata Subramaniam, IBM India Research Lab. (India); Kazem Taghva, Univ. of Nevada/Las Vegas; George R. Thoma, National Library of Medicine; Christian Viard-Gaudin, Univ. of Nantes (France); Alessandro Vinciarelli, IDIAP Research Inst. (Switzerland); Berrin Yanikoglu, Sabanci Univ. (Turkey); Jie Zou, National Library of Medicine
We are pleased to announce the 17th Document Recognition and Retrieval Conference (DRR), to be held on 19-21 January 2010, in San Jose, CA, USA. DRR is an international conference focused on state-of-the-art research in document recognition and retrieval, for offline, online and web documents. The conference is part of the Electronic Imaging Symposium, which brings together researchers from various backgrounds related to electronic imaging for an exciting research event. The conference will include oral/poster presentations, invited talks and invited papers. Accepted papers will be published in DRR Proceedings. For the fourth year, the Best Student Paper will be selected among papers whose first authors are full-time students. Additional details and updated information of this conference can be found at http://www.tsi.enst.fr/drr2010/
Recognizing handwritten or degraded machine print documents (e.g. faxed and old/historical documents) remains as a challenging problem. Beyond OCR, document recognition includes the recovery of a document's logical structure and format. With successful layout analysis and recognition, document recognition aims to fully reconstruct a document in electronic form, in its original format (fonts, layout etc.). Among the remaining challenges for machine-printed documents are complex layouts (text written on images, complex backgrounds, etc.)degraded and noisy documents, and robust recognition of tables and equations. Handwritten documents with unconstrained writing style pose additional challenges due to increased variability and segmentation ambiguities. Handwritten documents can be processed both online (where temporal stroke information is available) and offline. Non-textual elements in documents form another class of interesting problems. These include the extraction and recognition logos and signatures, and the conversion of line drawings in documents from raster to vector format, thus creating graphical objects endowed with semantic meaning. Web documents pose both similar and new challenges. We are soliciting papers describing algorithms and systems in all aspects of document recognition and retrieval, for offline, online and Web documents.
One of the primary reasons for digitizing existing paper materials is to simplify retrieval and organization of information. In this regard we are particularly interested in papers which address any of the following issues: retrieval in the presence of noise; retrieval based on sketches, images, tables, diagrams or other non-linguistic objects that appear in the document; retrieval based on text appearing with non-standard alignment, in images or graphics; recognition and tagging of mathematical arrays and equations which serve as indicators of subject content or methodology used in the document; novel methods for retrieval and organization of information based on text or other information in a document. Papers addressing retrieval-specific issues are encouraged to use standard performance metrics such as ROC and precision-recall curves.
Papers are solicited in, but not limited to, the following areas:
Note : Submissions to Document Recognition and Retrieval XVII should contain abbreviated papers (5-7 pages). Papers should be informative and address the following: description of the problem that is addressed by the paper; the original contribution in the paper; comparison to related work; and experimental/theoretical evaluation.
Final manuscripts to be published in the proceedings are expected to be 8-12 pages long. Questions concerning the conference should be addressed to Laurence Likforman (firstname.lastname@example.org) or Gady Agam (email@example.com).