Color descriptor for content-based drawing retrieval

Christophe Rigaud 1, 2 Jean-Christophe Burie 1 Jean-Marc Ogier 1 Dimosthenis Karatzas 3
1 L3I - Laboratoire Informatique, Image et Interaction
2 CVC - Computer Vision Center (Centre de visio per computador)
3 CVC
CVC - Computer Vision Center (Centre de visio per computador)
Abstract : Human detection in computer vision field is an active field of research. Extending this to human-like drawings such as the main characters in comic book stories is not trivial. Comics analysis is a very recent field of research at the intersection of graphics, texts, objects and people recognition. The detection of the main comic characters is an essential step towards a fully automatic comic book understanding. This paper presents a color-based approach for comics character retrieval using content-based drawing retrieval and color palette.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [12 references]  Display  Hide  Download
https://hal.archives-ouvertes.fr/hal-01032447
Contributor : Christophe Rigaud <>
Submitted on : Wednesday, July 23, 2014 - 9:40:47 AM
Last modification on : Monday, March 5, 2018 - 11:16:15 AM
Document(s) archivé(s) le : Tuesday, November 25, 2014 - 11:30:19 AM

File

2014_Rigaud_Color_descriptor_f...
Files produced by the author(s)

Identifiers

Collections

UNIV-ROCHELLE | L3I

Citation

Christophe Rigaud, Jean-Christophe Burie, Jean-Marc Ogier, Dimosthenis Karatzas. Color descriptor for content-based drawing retrieval. 11th IAPR International Workshop on Document Analysis Systems (DAS), Apr 2014, Tours, France. pp.267-271, ⟨10.1109/DAS.2014.70⟩. ⟨hal-01032447⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

145

Files downloads

253

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD