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Technical Program
Paper Detail
| Paper: | MA-L5.3 |
| Session: | Content Summarization and Clustering |
| Time: | Monday, October 9, 10:20 - 10:40 |
| Presentation: |
Lecture
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| 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. |
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