Media-based navigation with generic links
Proceedings of the the seventh ACM conference on Hypertext
Object-based navigation: an intuitive navigation style for content-oriented integration environment
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Because I Seek an Image, Not a Book
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Combining global and local information for knowledge-assisted image analysis and classification
EURASIP Journal on Advances in Signal Processing
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
M-OntoMat-Annotizer: image annotation linking ontologies and multimedia low-level features
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
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In previous work we have described a multimedia system, MAVIS 2, supporting content and concept based retrieval and navigation. A central component of the system is a multimedia thesaurus in which media content is associated with appropriate concepts in a semantic layer. A major challenge is identifying and constructing these associations in a particular application without requiring a huge amount of manual effort. In this paper we propose a two phase approach to the problem. In the first phase, latent semantic analysis is used to associate metadata available for some media objects with concept class descriptions. This facilitate automatic associations to be made with the concept layer of the those media objects. In the second phase, media content matching is used to classify media objects without metadata through their similarity to media objects classified in phase 1.