DocumentCode :
2607947
Title :
Content-Based Image Retrieval: on the Way to Object Features
Author :
Zlatoff, Nicolas ; Ryder, Guillaume ; Tellez, Bruno ; Baskurt, Atilla
Author_Institution :
LIRIS-UMR, CNRS, Villeurbanne
Volume :
4
fYear :
0
fDate :
0-0 0
Firstpage :
153
Lastpage :
156
Abstract :
Content-based systems retrieve images based on low-level features (color, texture) while the user usually seeks some objects from real world. As segmentation is never accurate, such systems do not allow the use of powerful feature during retrieval (shape, structure). We propose a new system that relies on a hierarchy of segmentations, in order to handle some artifacts. Besides, it allows using some object-related features for indexing (shape, structure). We also present some result on a 600 images database from Corel
Keywords :
content-based retrieval; image retrieval; image segmentation; content-based image retrieval; content-based system; image indexing; object feature; object-related feature; segmentation hierarchy; Bridges; Content based retrieval; Data mining; Feature extraction; Histograms; Image databases; Image retrieval; Image segmentation; Indexing; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.409
Filename :
1699804
Link To Document :
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