Book chapter
Using Linguistic Models for Image Retrieval
Advances in Visual Computing, pp.494-501
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2005
DOI: 10.1007/11595755_60
Abstract
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.
Details
- Title: Subtitle
- Using Linguistic Models for Image Retrieval
- Creators
- Brian Zambrano - San Francisco State UniversityRahul Singh - San Francisco State UniversityBibek Bhattarai - San Francisco State University
- Resource Type
- Book chapter
- Publication Details
- Advances in Visual Computing, pp.494-501
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/11595755_60
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2005
- Academic Unit
- Computer Science
- Record Identifier
- 9984446413602771
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