Abstract
In this chapter we present MUSE (MUltimedia SEarch and Retrieval Using Relevance Feedback), a CBVIR system with relevance feedback and learning capabilities developed by the authors over the past two years. MUSE is an ongoing project within the Department of Computer Science and Engineering at Florida Atlantic University. The ultimate goal of this project is to build an intelligent system for searching and retrieving visual information in large repositories1.
MUSE is a work in progress and the information presented in this chapter may be subject to frequent updates. Please contact the authors if you need the latest information on the status of the project.
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© 2002 Springer Science+Business Media New York
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Marques, O., Furht, B. (2002). Case Study: MUSE. In: Content-Based Image and Video Retrieval. Multimedia Systems and Applications Series, vol 21. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0987-5_6
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DOI: https://doi.org/10.1007/978-1-4615-0987-5_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5338-6
Online ISBN: 978-1-4615-0987-5
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