30/03/12

Eventos : Document Recognition and Retrieval XX (2013): Call for Papers 

Document Recognition and Retrieval XX (2013)
http://www.cs.rit.edu/~drr2013
San Francisco, USA Feb. 5-7, 2013
** Paper Submission Deadline: July 23, 2012 (11:59 PST)
------------------------------------------------------
Document Recognition and Retrieval (DRR) is one of the leading
international conferences devoted to current research in document
analysis, recognition and retrieval. The 20th Document Recognition
and Retrieval Conference is being held as part of SPIE Electronic
Imaging, from Feb. 5-7, 2013 in San Francisco, California, USA.
The conference venue and hotel will be the Hyatt Regency near the
San Francisco Airport (SFO).

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.
At the conference a Best Student Paper Award will be presented.

Papers are solicited in, but not limited to, the areas below.

Document Recognition

* Text recognition: machine-printed, 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, and document degradation models
* 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
* 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

* 23 July, 2012: Paper submission deadline
* Late August, 2012: Author notifications
* 26 November, 2012: Final paper submission deadline
* 5-7 February, 2013: Conference dates

* Paper Submission*

All paper submissions should be between 8-12 pages in length, using the
SPIE LaTeX template (available from conference web pages). For accepted
papers, final submissions will also be 8-12 pages in the same
format. Papers should clearly identify the problem addressed in the
paper, identify the original contribution(s) of the paper, relate the
paper to previous work, and provide experimental and/or theoretical
evaluation as appropriate. Submissions should be uploaded through the
conference web site (http://www.cs.rit.edu/~drr2013/submission.html).

Questions may be addressed to: drr2013@cs.rit.edu.
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NPDI

Núcleo de Processamento Digital de Imagens.
Departamento de Ciência da Computação.
Instituto de Ciências Exatas.
Universidade Federal de Minas Gerais

 

Endereço

Av. Antônio Carlos 6627 - ICEx - sl. 3055
Pampulha - CEP 31270-010
Belo Horizonte - Minas Gerais - Brasil.

Telefone (31) 3409-5854