Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8746)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: GREC 2013.
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About this book
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Workshop on Graphics Recognition, GREC 2013, held in Bethlehem, PA, USA, in August 2013.
The 20 revised full papers presented were carefully reviewed and selected from 32 initial submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 topical sessions on symbol spotting and retrieval, graphics recognition in context, structural and perceptual based approaches, low level processing, and performance evaluation and ground truthing.
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Keywords
- character detection
- content based image retrieval
- document image analysis
- graph structures for image analysis
- graphical information spotting
- graphics recognition
- image processing
- line drawing
- machine learning
- pattern recognition
- perceptual image analysis
- performance analysis
- symbol recognition
- text-to-graphic conversion
- algorithm analysis and problem complexity
Table of contents (20 papers)
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Front Matter
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Symbol Spotting and Retrieval
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Front Matter
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Graphics Recognition in Context
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Front Matter
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Structural and Perceptual Based Approaches, Grouping
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Front Matter
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Other volumes
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Graphics Recognition. Current Trends and Challenges
Editors and Affiliations
Bibliographic Information
Book Title: Graphics Recognition. Current Trends and Challenges
Book Subtitle: 10th International Workshop, GREC 2013, Bethlehem, PA, USA, August 20-21, 2013, Revised Selected Papers
Editors: Bart Lamiroy, Jean-Marc Ogier
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-44854-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-662-44853-3Published: 02 October 2014
eBook ISBN: 978-3-662-44854-0Published: 18 September 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 267
Number of Illustrations: 162 b/w illustrations
Topics: Natural Language Processing (NLP), Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Pattern Recognition, Computer Graphics