Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9657)
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 2015.
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Table of contents (10 papers)
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Front Matter
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Performance Analysis and Ground Truth
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Front Matter
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Recognition and Content Analysis
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Front Matter
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Low Level, Segmentation and Structured Data
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Front Matter
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Back Matter
Other volumes
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Graphic Recognition. Current Trends and Challenges
Keywords
- bayesian inference
- document image analysis
- domain ontology
- pattern recognition
- top down optimization
- architectural working method
- camera-based document image retrieval
- comic image analysis
- domain knowledge
- explicit graph embedding
- graph classification
- graph clustering
- graphics recognition
- handwritten music scores
- indexing
- local features
- manga image analysis
- optical music recognition
- speeck balloon
- symbol recognition
About this book
This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Workshop on Graphics Recognition, GREC 2015, held in Nancy, France, in August 2015. The 10 revised full papers presented were carefully reviewed and selected from 19 initial submissions. They contain both classical and emerging topics of Graphics Recognition, namely symbol spotting; recognition in context; perceptual based approaches and grouping; low level processing; off-line to on-line and interactive systems; structure based approaches; performance evaluation and ground truthing; content based retrieval.
Editors and Affiliations
Bibliographic Information
Book Title: Graphic Recognition. Current Trends and Challenges
Book Subtitle: 11th International Workshop, GREC 2015, Nancy, France, August 22–23, 2015, Revised Selected Papers
Editors: Bart Lamiroy, Rafael Dueire Lins
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-52159-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-52158-9Published: 08 January 2017
eBook ISBN: 978-3-319-52159-6Published: 07 January 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 149
Number of Illustrations: 83 b/w illustrations
Topics: Natural Language Processing (NLP), Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Pattern Recognition, Computer Graphics