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|a 9783540881889
|9 978-3-540-88188-9
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|a 10.1007/978-3-540-88188-9
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|a 006.37
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|a Graphics Recognition. Recent Advances and New Opportunities
|h [electronic resource] :
|b 7th International Workshop, GREC 2007, Curitiba, Brazil, September 20-21, 2007, Selected Papers /
|c edited by Liu Wenyin, Josep Lladós, Jean-Marc Ogier.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a IX, 336 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 5046
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|a Technical Documents, Maps and Diagrams Understanding -- Automatically Making Origami Diagrams -- An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents -- Converting ECG and Other Paper Legated Biomedical Maps into Digital Signals -- Symbol and Shape Description and Recognition (1) -- Hand Drawn Symbol Recognition by Blurred Shape Model Descriptor and a Multiclass Classifier -- On the Combination of Ridgelets Descriptors for Symbol Recognition -- Symbol and Shape Description and Recognition (2) -- Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method -- On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognition -- A Discriminative Representation for Symbolic Image Similarity Evaluation -- ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm -- Information Retrieval, Indexing and Spotting -- Spotting Symbols in Line Drawing Images Using Graph Representations -- A Region-Based Hashing Approach for Symbol Spotting in Technical Documents -- A System for Historic Document Image Indexing and Retrieval Based on XML Database Conforming to MPEG7 Standard -- An Ancient Graphic Documents Indexing Method Based on Spatial Similarity -- A Fast CBIR System of Old Ornamental Letter -- Sketching Interfaces and On-Line Processing -- Developing Domain-Specific Gesture Recognizers for Smart Diagram Environments -- Using Error Recovery Techniques to Improve Sketch Recognition Accuracy -- Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser -- Categorization of Digital Ink Elements Using Spectral Features -- Feature and Primitive Analysis and Segmentation -- A Figure Image Processing System -- A Segmentation Scheme Based on a Multi-graph Representation: Application to Colour Cadastral Maps -- Smoothing a Network of Planar Polygonal Lines Obtained with Vectorization -- Verification of the Document Components from Dual Extraction of MRTD Information -- A System to Segment Text and Symbols from Color Maps -- A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating -- Performance Evaluation and Ground Truthing -- Generating Ground Truthed Dataset of Chart Images: Automatic or Semi-automatic? -- Performance Characterization of Shape Descriptors for Symbol Representation -- Building Synthetic Graphical Documents for Performance Evaluation -- A Study on the Effects of Noise Level, Cleaning Method, and Vectorization Software on the Quality of Vector Data -- GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms -- Report on the Third Contest on Symbol Recognition -- Panel Discussion -- Is Graphics Recognition an Unidentified Scientific Object?.
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|a This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Graphics Recognition, GREC 2007, held in Curitiba, Brazil in September 2007. The 30 revised full papers presented together with a panel discussion report were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on technical documents, maps and diagrams understanding; symbol and shape description and recognition; information retrieval, indexing and spotting; sketching interfaces and on-line processing; feature and primitive analysis and segmentation; performance evaluation and ground truthing.
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650 |
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|a Computer vision.
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|a Data mining.
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|a Computer graphics.
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650 |
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|a Pattern recognition systems.
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650 |
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|a Artificial intelligence.
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650 |
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|a Image processing-Digital techniques.
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|a Computer Vision.
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650 |
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4 |
|a Data Mining and Knowledge Discovery.
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650 |
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4 |
|a Computer Graphics.
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650 |
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|a Automated Pattern Recognition.
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650 |
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|a Artificial Intelligence.
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|a Computer Imaging, Vision, Pattern Recognition and Graphics.
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700 |
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|a Wenyin, Liu.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Lladós, Josep.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
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|a Ogier, Jean-Marc.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783540882930
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776 |
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|i Printed edition:
|z 9783540881841
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830 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 5046
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4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-540-88188-9
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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