Name
Abstract | ||
|---|---|---|
In image retrieval systems, a variety of simple similarity measures are used. The choice for one similarity measure or another is generally driven by an experimental comparison on a labeled database. The drawback of such an approach is that, while a large number of possible similarity measures can be tested, we do not know how to extend from the obtained results. However, the choice of a good similarity measure leads to noticeable better results. It is known that this choice is related to the variability of the images within the same class. Therefore, we propose a model of image retrieval systems and deduce a scheme for deriving the best similarity measure in a set of similarity measures, assuming a parametric model of the variability of feature vectors within the same class. An experimental validation of the model and the derived similarity measures is performed on synthetic ground-truth databases. Finally, from our experiments, we give several rules to follow for the design of ground-truth databases allowing reliable conclusions on the search of better similarity measures. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1145/641007.641105 | ACM Multimedia 2001 |
Keywords | Field | DocType |
good similarity measure,parametric model,simple similarity measure,experimental validation,experimental comparison,better similarity measure,similarity measure,best similarity measure,image retrieval system,possible similarity measure,hidden markov model,image classification,feature vector,computer vision,ground truth,machine learning,image retrieval,image segmentation,wavelets | Data mining,Feature vector,Parametric model,Pattern recognition,Similarity measure,Computer science,Image retrieval,Image segmentation,Artificial intelligence,Contextual image classification,Content-based image retrieval,Visual Word | Conference |
ISBN | Citations | PageRank |
1-58113-620-X | 5 | 1.32 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Philippe Tarel | 1 | 805 | 56.63 |
| Sabri Boughorbel | 2 | 127 | 15.32 |