[Corpora-List] 2nd Call for Papers: Document Recognition and Retrieval (DRR 2015)

[Eric Ringger]

To Corpora readers: we especially invite your submissions to the upcoming
DRR conference.  DRR is a place for experts in document and text retrieval
and in document image processing to come together to advance the respective
fields, especially where they overlap.  If your interest is in historical
text or historical document images, DRR is a particularly good fit.  Best
regards, --Eric 


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2ND CALL FOR PAPERS

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Document Recognition and Retrieval XXII (DRR 2015)

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http://nlp.cs.byu.edu/drr2015
San Francisco, February 11-12, 2015


Document Recognition and Retrieval (DRR) is one of the leading international
conferences devoted to current research in document analysis, recognition
and retrieval. The 22nd Document Recognition and Retrieval Conference is
being held as part of the IS&T/SPIE Electronic Imaging Symposium taking
place  in San Francisco, California, USA. The conference venue and hotel
will be the Hilton San Francisco Union Square.  DRR specifically will take
place February 11-12, 2015.

The Conference Chairs and Program Committee invite all researchers working
on document recognition and retrieval to submit original research papers.
Papers are presented in oral and poster sessions at the conference, along
with invited talks by leading researchers. Accepted papers will be published
by the SPIE in the conference proceedings. Papers will also be indexed by
DBLP.  At the conference a Best Student Paper Award will be presented.
Papers are solicited in, but not limited to, the areas below. (Conference
web page: http://nlp.cs.byu.edu/drr2015)

DOCUMENT RECOGNITION

* Text recognition: machine-printed documents, handwritten documents; paper,
tablet, camera, and video sources
* Writer/style identification, verification, and adaptation
* Graphics recognition: vectorization (e.g. for line-art, maps and technical
drawings), signature, logo and graphical symbol recognition, figure, chart
and graph recognition, and diagrammatic notations (e.g. music, mathematical
notation)
* Document layout analysis and understanding: document and page region
segmentation, form and table recognition, and document understanding through
combined modalities (e.g. speech and images)
* Evaluation: performance metrics, document degradation models, data
collection, benchmarking, ground-truthing
* Additional topics: document image filtering, enhancement and compression,
document clustering and classification, machine learning (e.g. integration
and optimization of recognition modules), historical and degraded document
images (e.g. fax), multilingual document recognition, and web page analysis
(including wikis and blogs). 

DOCUMENT RETRIEVAL

* Indexing and summarization: text documents (messages, blogs, etc.), imaged
documents, entity tagging from OCR output, and text categorization
* Query languages and modalities: content-based image retrieval (CBIR) for
documents, keyword spotting, non-textual query-by-example (e.g. tables,
figures, math), querying by document geometry and/or logical structure,
approximate string matching algorithms for OCR output, retrieval of noisy
text documents (messages, blogs, etc.), cross and multi-lingual retrieval
* Discovery and browsing: pattern discovery, trend mining, topic modeling
and analysis, clustering
* Evaluation: relevance and performance metrics, evaluation protocols, and
benchmarking
* Additional topics: relevance feedback, impact of recognition accuracy on
retrieval performance, and digital libraries including systems engineering
and quality assurance. 

IMPORTANT DATES

* 14 July 2014, 11:59pm PST: Submission deadline: Full Paper for Review
* 7 October 2014: Author notifications
* 1 December 2014: Submission deadline: Manuscript for On-site Proceedings
* 11-12 February 2015: Conference

PAPER SUBMISSION

Standard minimum paper length for all SPIE events is 6 pages. However, for
DRR, we strongly encourage the authors to submit longer papers (ideally 8-12
pages). The review process will take into account both the quality and the
depth of development of the scientific and experimental content of a paper.
Papers should clearly identify the problem addressed in the work, identify
the original contribution(s) of the paper, relate the paper to previous
work, justify and document the methods of the paper, and provide substantive
experimental and/or theoretical evaluation.  The program committee will
favor papers that take advantage of the opportunity to develop, argue, and
provide compelling experimental evidence.

We recommend using the SPIE LaTeX template for preparing submissions
(http://kmh-lanl.hansonhub.com/spie/).  Submissions should be uploaded
through the SPIE conference website (http://spie.org).  For accepted
submissions, the final manuscripts to be published in the proceedings are
expected also to be a minimum of 6 pages in the same format.

For more information visit http://nlp.cs.byu.edu/drr2015 .

Questions concerning the conference may also be addressed to:
drr2015 at googlegroups.com

CONFERENCE CHAIRS

* Eric K. Ringger, Brigham Young Univ. (United States)
* Bart Lamiroy, Université de Lorraine & LORIA (France)

PROGRAM COMMITTEE

* Gady Agam, Illinois Institute of Technology (United States)
* Sameer K. Antani, National Library of Medicine (United States)
* Elisa H. Barney Smith, Boise State Univ. (United States)
* William A. Barrett, Brigham Young Univ. (United States)
* Kathrin Berkner, Ricoh Innovations, Inc. (United States)
* Bertrand Coüasnon, Institut National des Sciences Appliquées de Rennes
(France)
* Hervé Déjean, Xerox Research Ctr. Europe Grenoble (France)
* Xiaoqing Ding, Tsinghua Univ. (China)
* David S. Doermann, Univ. of Maryland, College Park (United States)
* Jianying Hu, IBM Thomas J. Watson Research Ctr. (United States)
* Ergina Kavallieratou, Univ. of the Aegean (Greece)
* Christopher Kermorvant, A2iA SA (France)
* Laurence Likforman-Sulem, Telecom ParisTech (France)
* Xiaofan Lin, A9.com, Inc. (United States)
* Marcus Liwicki, Deutsches Forschungszentrum für Künstliche Intelligenz
GmbH (Germany)
* Daniel P. Lopresti, Lehigh Univ. (United States)
* Umapada Pal, Indian Statistical Institute (India)
* Sargur N. Srihari, Univ. at Buffalo (United States)
* Venkata Subramaniam, IBM India Research Lab. (India)
* Kazem Taghva, Univ. of Nevada, Las Vegas (United States)
* George R. Thoma, National Library of Medicine (United States)
* Christian Viard-Gaudin, Univ. de Nantes (France)
* Berrin Yanikoglu, Sabanci Univ. (Turkey)
* Pingping Xiu, Microsoft (United States)
* Richard Zanibbi, Rochester Institute of Technology (United States)
* Jie Zou, National Library of Medicine (United States) 



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