Performance Characterization of Shape Descriptors for Symbol Representation

Ernest Valveny 1 Salvatore Tabbone 2 Oriol Ramos-Terrades 2 Emilie Philippot 3
1 CVC - Computer Vision Center (Centre de visio per computador)
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we propose a general framework for the characterization of shape descriptors and show its application to graphic symbols. The framework is based on the combination of several performance measures independent of the application. We have applied this framework using a standard set of descriptors and databases. We show how it can be used to characterize the properties of each descriptor for a given database.
Type de document :
Chapitre d'ouvrage
Wenyin Liu Josep Lladós Jean-Marc Ogier. Graphics Recognition. Recent Advances and New Opportunities, 5046, Springer, pp.278-287, 2008, Lecture Notes in Computer Science, 978-3-540-88184-1. 〈10.1007/978-3-540-88188-9_26〉
Liste complète des métadonnées
https://hal.inria.fr/inria-00339781
Contributeur : Salvatore Tabbone <>
Soumis le : mardi 18 novembre 2008 - 20:45:21
Dernière modification le : jeudi 11 janvier 2018 - 06:25:24

Identifiants

Collections

INRIA | UNIV-LORRAINE | LORIA

Citation

Ernest Valveny, Salvatore Tabbone, Oriol Ramos-Terrades, Emilie Philippot. Performance Characterization of Shape Descriptors for Symbol Representation. Wenyin Liu Josep Lladós Jean-Marc Ogier. Graphics Recognition. Recent Advances and New Opportunities, 5046, Springer, pp.278-287, 2008, Lecture Notes in Computer Science, 978-3-540-88184-1. 〈10.1007/978-3-540-88188-9_26〉. 〈inria-00339781〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

300

Contact


archive-ouverte@inria.fr