A scalable and efficient content-based multimedia retrieval system


Boldareva, L. and Hiemstra, D. and Jonker, W. (2002) A scalable and efficient content-based multimedia retrieval system. In: Proceedings of the Third Dutch-Belgian Information Retrieval Workshop (DIR 2002), 6 Dec 2002, Leuven, Belgium (pp. pp. 28-37).

[img] PDF
Restricted to UT campus only
: Request a copy
Abstract:In this work the problem of content-based information retrieval is approached from a new perspective. We look at a probabilistic approach in CBIR from the angle of Bayesian networks. Our data structure serves to break two bottlenecks of retrieval performance: (1) high dimensionality of feature vectors and (2) poor mapping of raw features into highlevel content that a human understands (the semantic gap). We use the network structure instead of the feature space, and propose updating the higherlevel content description by utilising the relevance feedback obtained from the user. Strategies for display update for the next iteration are studied. A new approach for selecting the next display set is tied to our data structure.
Item Type:Conference or Workshop Item
Additional information:Imported from EWI/DB PMS [db-utwente:inpr:0000003403], http://www.law.kuleuven.ac.be/icri/seminars.php?id=7
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/63494
Official URL:http://www.law.kuleuven.ac.be/icri/publications/363DIR2002_Proceedings.pdf
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page