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Graphics Recognition. Recent Advances and Perspectives

5th International Workshop, GREC 2003, Barcelona, Spain, July 30-31, 2003, Revides Selected Papers

  • Conference proceedings
  • © 2004

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3088)

Included in the following conference series:

Conference proceedings info: GREC 2003.

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Table of contents (34 papers)

  1. Platforms, Architectures and Document Knowledge Models

  2. Technical Documents, Maps and Charts

  3. Perceptual Organization, Indexing and Graphical Signatures

  4. Image Analysis and Low-Level Processing

Other volumes

  1. Graphics Recognition. Recent Advances and Perspectives

Keywords

About this book

1 Thisbookcontainsrefereedandimprovedpaperspresentedatthe5thIAPR - ternational Workshop on Graphics Recognition (GREC 2003). GREC 2003 was held in the Computer Vision Center, in Barcelona (Spain) during July 30–31, 2003. TheGRECworkshopisthemainactivityoftheIAPR-TC10,theTechnical 2 Committee on Graphics Recognition . Edited volumes from the previous wo- shops in the series are available as Lecture Notes in Computer Science: LNCS Volume 1072 (GREC 1995 at Penn State University, USA), LNCS Volume 1389 (GREC 1997 in Nancy, France), LNCS Volume 1941 (GREC 1999 in Jaipur, India), and LNCS Volume 2390 (GREC 2001 in Kingston, Canada). Graphics recognition is a particular ?eld in the domain of document ana- sis that combines pattern recognition and image processing techniques for the analysis of any kind of graphical information in documents, either from paper or electronic formats. Topics of interest for the graphics recognition community are: vectorization; symbol recognition; analysis of graphic documents with - agrammatic notation like electrical diagrams, architectural plans, engineering drawings, musical scores, maps, etc. ; graphics-based information retrieval; p- formance evaluation in graphics recognition; and systems for graphics recog- tion. Inadditiontotheclassicobjectives,inrecentyearsgraphicsrecognitionhas faced up to new and promising perspectives, some of them in conjunction with other, a?ne scienti?c communities. Examples of that are sketchy interfaces and on-line graphics recognition in the framework of human computer interaction, or query by graphic content for retrieval and browsing in large-format graphic d- uments, digital libraries and Web applications. Thus, the combination of classic challenges with new research interests gives the graphicsrecognition ?eld an active scienti?c community, with a promising future.

Editors and Affiliations

  • Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, (Barcelona), Spain

    Josep Lladós

  • Departmen Computer Science and Engineering, Chung-Ang University, Seoul, Korea

    Young-Bin Kwon

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