ICIP 2004, IEEE International Conference on Image Processing, October 24-27, 2004, Singapore
The work presented in this paper aims at reducing the semantic gap between low level video features and semantic video objects. The proposed method for finding associations between segmented frame region characteristics relies on the strength of Latent Semantic Analysis. Our previous experiments [1] have shown the potential of this approach but also uncovered some of its limitation. Here, we will present a method using the structural information within an LSA framework. Moreover, we will demonstrate the performance gain of combining visual (low level) and structural information.
Type:
Conférence
City:
Singapore
Date:
2004-10-24
Department:
Data Science
Eurecom Ref:
1403
Copyright:
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