|
 
|
[OCB10] Interactive Learning of Heterogeneous Visual Concepts with Local Features
Conférence Internationale avec comité de lecture : ACM Multimedia 2010 (short paper), November 2010, pp.995-998,Mots clés: Relevance feedback, interactive retrieval, object localization
Résumé:
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the limited number of training examples. To address these problems, we suggest a new interactive learning approach that combines similarity-based retrieval and re-ranking by SVM using local feature distributions. This approach leads to improved sample selection, allowing to obtain better results.
Equipe:
vertigo
Collaboration:
INRIA
BibTeX
| @inproceedings { | |||
| OCB10, | |||
| title | = | "{Interactive Learning of Heterogeneous Visual Concepts with Local Features}", | |
| author | = | " W. Ouertani and M. Crucianu and N. Boujemaa ", | |
| booktitle | = | "{ACM Multimedia 2010 (short paper)}", | |
| year | = | 2010, | |
| month | = | "November", | |
| pages | = | "995-998", | |
| } | |||
