Using Linguistic Models for Image Retrieval

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.

• Type: Conference
• Year: 2005
• Where: ISVC
• Authors: Brian Zambrano, Rahul Singh, Bibek Dev Bhattarai
• Keywords: Comprehensive Lexical Repository, Image, ISVC 2005, Semantic Relationships