Topics Pertinent to DRR
Papers are solicited in, but not limited to, the
following areas.
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
- 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
News
DRR 2015 web site:
http://nlp.cs.byu.edu/drr2015
DRR 2014 Final Program
See here
Invited Talks
"OCR for Google Books"
by Ray Smith and Ashok Popat, Google
"What makes Big Visual Data Hard?"
by Alexei A. Efros, Berkeley
Important Dates
Paper submission
* 5 August, 2013 *
Author notifications
7 October, 2013
Final papers
25 November, 2013
Early Registration before
10 January, 2014