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ICAPR
2005
Springer

Semantic-Based Cross-Media Image Retrieval

9 years 2 months ago
Semantic-Based Cross-Media Image Retrieval
In this paper, we propose a new method to cross-media semantic-based information retrieval, which combines classical text-based and content-based image retrieval techniques. This semanticbased approach aims at determining the strong relationships between keywords (in the caption) and types of visual features associated with its typical images. These relationships are then used to retrieve images from a textual query. In particular, the association keyword/visual feature/characterization may allow us to retrieve non-annotated but similar images to those retrieved by a classical textual query. It can also be used for automatic images annotation. Our experiments on two different databases show that this approach is promising for cross-media retrieval.
Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICAPR
Authors Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
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