10th International Conference on Image Analysis and Processing (ICIAP'99) Similarity Retrieval of Trademark Images Venice, Italy September 27-September 29 ISBN: 0-7695-0040-4
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.
Citation:
G. Ciocca, R. Schettini, "Similarity Retrieval of Trademark Images," iciap, pp.915, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||