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This demonstration presents a digital media retrieval system for searching large categories in different media databases. The core of our system is an interactive online classification based on user labeling. The classification is obtained with a statistical learning method: kernels for similarity representation and SVM (Support Vector Machine) using binary user annotations. RETIN applies also an active learning strategy for proposing documents to the user for labeling. The system can deal withdoi:10.1145/1282280.1282294 dblp:conf/civr/GonyCPGPJ07 fatcat:j2tfatwkgjdspkvdqu5lybvnaq