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Conference papers

Color descriptor for content-based drawing retrieval

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.
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Contributor : Christophe Rigaud Connect in order to contact the contributor
Submitted on : Wednesday, July 23, 2014 - 9:40:47 AM
Last modification on : Thursday, May 12, 2022 - 3:36:33 PM
Long-term archiving on: : Tuesday, November 25, 2014 - 11:30:19 AM


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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⟩



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