ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MA-L5.3
Session:Content Summarization and Clustering
Time:Monday, October 9, 10:20 - 10:40
Presentation: Lecture
Topic: Image & Video Storage and Retrieval: Semantic indexing and retrieval of images
Title: CO-CLUSTERING IMAGE FEATURES AND SEMANTIC CONCEPTS
Authors: Manjeet Rege; Wayne State University 
 Ming Dong; Wayne State University 
 Farshad Fotouhi; Wayne State University 
Abstract: In this paper, we present a novel idea of co-clustering image features and semantic concepts. We accomplish this by modelling user feedback logs and low-level features using a bipartite graph. Our experiments demonstrate that (1) incorporating semantic information achieves better image clustering and (2) feature selection in co-clustering narrows the semantic gap, thus enabling efficient image retrieval.