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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Using Linguistic Models for Image Retrieval
verfasst von : Brian Zambrano, Rahul Singh, Bibek Bhattarai
Erschienen in: Advances in Visual Computing
Verlag: Springer Berlin Heidelberg
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This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships encoded in WordNet, a comprehensive lexical repository. Additionally, we propose the use of a reflective user-interface where users can interactively query-explore semantically related images by varying a simple parameter that does not require knowledge about the underlying information structure. This facilitates query-retrieval in context of the emergent nature of semantics that complex media, such as images have. Experiments show the efficacy and promise of this approach which can play a significant role in applications varying from multimedia information management to web-based image search.