14th International Workshop on Graphics Recognition (GREC)
September 05, 2021
GREC workshops provide an excellent opportunity for researchers and practitioners at all levels of experience to meet colleagues and to share new ideas and knowledge about graphics recognition methods. Graphics Recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, comics, musical scores, sketches, maps, architectural plans, mathematical notation, tables, diagrams, etc.
The aim of this workshop is to maintain a very high level of interaction and creative discussions between participants, maintaining a “workshop” spirit, and not being tempted by a “mini-conference” model.
GREC 2021 will continue the tradition of past workshops held at the Penn State University (USA), Nancy (France), Jaipur (India), Kingston (Canada), Barcelona (Spain),, Hong Kong (China), Curitiba (Brazil), La Rochelle (France), Seoul (Corea), Lehigh (USA), Nancy (France), Kyoto (Japan) and Sydney (Australia).
The workshop will comprise several sessions dedicated to specific topics related to graphics in document analysis and graphic recognition. For each session, there will be an invited presentation describing the state of the art and stating the open questions for the session’s topic, followed by a number of short presentations that will contribute by proposing solutions to some of the questions or presenting results of the speaker’s work. Each session will be concluded by a panel discussion.
We encourage the authors to submit papers on the topics detailled below.
- Analysis and interpretation of graphical documents, such as: Engineering drawings, floorplans, mathematical expressions, comics, maps, music scores, patents, diagrams, charts, tables, etc.
- Recognition of graphic elements, such as symbols, logos, stamps, dropcaps, drawings, etc.
- Identification and localization of graphical mark-ups and annotations in written documents.
- Raster-to-vector techniques.
- Graphics-based information retrieval.
- Historical graphics recognition and indexing.
- Forensics (Writer identification/verification) in graphic documents.
- Description of complete systems for interpretation of graphic documents.
- Datasets and performance evaluation in graphics recognition.
- Authoring, editing, storing and presentation systems for graphics multimedia documents.
- 3-D models from multiple 2-D views (line drawings).
- Digital ink processing.
- Sketch recognition and understanding.
- Camera-based graphics recognition.
- Graphics recognition in born digital documents.
- Analysis of graphics on new digital interfaces.
- Graphics detection and recognition in real scenes.
- Graphics analysis in medical images
Guidelines for authors
For this edition, authors are invited to submit two types of paper :
- Full papers describing complete works of research (12-15 pages). They will undergo a rigorous review process with a minimum of 2 reviews considering the originality of work.
- Short papers providing an opportunity to report on research in progress and to present novel positions on graphic recognition (up to 6 pages).
Accepted papers (full and short papers) will be published in a Springer LNCS volume dedicated to all ICDAR workshops.
The submited papers will respect the same policy and conditions of ICDAR 2021 conference papers. Papers should be formatted according to the instructions and style files provided by Springer. The LaTeX template for LNCS can be downloaded here. It is also available on Overleaf.
- Submission deadline :
Abstract submission : May 10th, 2021 (hard deadline)
- Full paper submission : May 28 th (extended)
May 17th, 2021– 11:59PM Pacific Time Zone (hard deadline)
- Acceptance notification: June 25th, 2021
- Camera ready due: July 2nd, 2021
- Workshop : September. 05th – 06th, 2021