Paper Info
Title
IMTHAC: Artwork image recovery system
Abstract
Following the increase in the different areas of knowledge of multimedia databases, image retrieval by content (CBIR) has captured attention in the last decade. In this paper we present an image retrieval system of art, developed to query and exploration of a collection of art images by QBE, considering similarity criteria: the color palette, the use of light and the technique used. These similarity criteria are analyzed by extracting low-level features such as color, texture and spatial relationships.
Year
DOI
Venue
2012
10.1109/CLEI.2012.6427230
Informatica
Keywords
Field
DocType
art,feature extraction,image colour analysis,image retrieval,image texture,multimedia computing,visual databases,CBIR,IMTHAC,artwork image recovery system,content based image retrieval,feature extraction,image color,image texture,multimedia databases,spatial relationships,Art Databases,CBIR,color histograms
Computer vision,Automatic image annotation,Image texture,Computer science,Binary image,Image retrieval,Feature extraction,Artificial intelligence,Image recovery,Color image,Visual Word
Conference
ISBN
Citations 
PageRank 
978-1-4673-0794-9
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Concepción Pérez De Célis12111.60
Thania Felix200.34
L. Enrique Sucar31016118.72
de Celis, C.P.400.34