DocumentCode
3225549
Title
Similarity retrieval of trademark images
Author
Ciocca, G. ; Schettini, R.
Author_Institution
ITIM, CNR, Milano, Italy
fYear
1999
fDate
1999
Firstpage
915
Lastpage
920
Abstract
We investigate the hypothesis that the low-level image features used to index the trademark images can be correlated with image contents by applying a relevance feedback mechanism that evaluates the feature distributions of the images judged relevant, or not relevant, by the user, and dynamically updates both the similarity measure and query in order to better represent the user´s particular information needs. Experimental results on a database of 1100 trademarks are reported
Keywords
content-based retrieval; copyright; database indexing; feature extraction; information needs; relevance feedback; visual databases; dynamic updating; feature distributions; image contents; image database; indexing; information needs; low-level image features; relevance feedback; similarity query; similarity retrieval; trademark images; Computational efficiency; Electrical capacitance tomography; Feedback; Histograms; Image retrieval; Indexing; Postal services; Shape; Trademarks; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location
Venice
Print_ISBN
0-7695-0040-4
Type
conf
DOI
10.1109/ICIAP.1999.797712
Filename
797712
Link To Document