DocumentCode :
3355151
Title :
Color- and texture-based salient map hierarchy
Author :
Paris, Stéphane
Author_Institution :
LITA, Paul Verlaine Univ., Metz, France
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
2205
Lastpage :
2208
Abstract :
In content-based image retrieval (CBIR), the extraction of salient maps delivers regions focusing on the predominant objects of the images. This kind of description is aimed to specify the queries and to organize the image database index. This paper proposes a process providing a hierarchy of salient maps. This hierarchy is a multiscale description from fine to coarse maps using an adapted similarity measure based on texture and color specificities.
Keywords :
content-based retrieval; feature extraction; image colour analysis; image retrieval; image texture; color-based salient map hierarchy; content-based image retrieval; image database index; salient maps delivers region extraction; texture-based salient map hierarchy; Cleaning; Computer vision; Euclidean distance; Image color analysis; Image segmentation; Pixel; Wavelet analysis; CBIR; color; distance; salient map; texture; vector descriptor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5652791
Filename :
5652791
Link To Document :
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