A scalable and efficient content-based multimedia retrieval system

L. Boldareva, M.F. Moens (Editor), R. de Busser (Editor), Djoerd Hiemstra (Editor), Willem Jonker, W. Kraaij (Editor)

Research output: Contribution to conferencePaperAcademicpeer-review

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.
Original languageEnglish
Pages28-37
Number of pages10
Publication statusPublished - 6 Dec 2002
Event3rd Dutch-Belgian Information Retrieval Workshop, DIR 2002 - Leuven , Belgium
Duration: 6 Dec 20026 Dec 2002
Conference number: 3

Workshop

Workshop3rd Dutch-Belgian Information Retrieval Workshop, DIR 2002
Abbreviated titleDIR
Country/TerritoryBelgium
CityLeuven
Period6/12/026/12/02

Keywords

  • DB-IR: INFORMATION RETRIEVAL

Fingerprint

Dive into the research topics of 'A scalable and efficient content-based multimedia retrieval system'. Together they form a unique fingerprint.

Cite this