Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparison of active classification methods for content-based image retrieval
Proceedings of the 1st international workshop on Computer vision meets databases
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Information retrieval based on image detection on web pages
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Fast information retrieval from web pages
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Fast information retrieval from web pages
WSEAS Transactions on Information Science and Applications
A new automated information retrieval system by using intelligent mobile agent
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
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In this paper, we present a system for image retrieval over a network of computer based on "ant-like" mobileagents. Image databases are hosted on the network, and the user wants to find all the images matching a specific concept (cars, flower, Italy, etc...). Usually, content based image retrieval systems (CBIR) do not consider the dispertion of the data among the network. We train a SVM classifier with examples annotated by the user and then launch mobile agents which explore the network in order to retrieve the most relevant images. Several interactive session (launching of agents then annotation of the results) are made to improve the classifier. Experiments are made both to see the influence of localization of the search concept on the quality of the learning, and to focus on the quality of the agent based solution compared to a centralizing system within a fixed amount of time for the interaction.