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