Multimedia Queries by Example and Relevance Feedback
Multimedia Queries by Example and Relevance Feedback
We describe the FALCON system for handling multimedia queries with relevance feedback. FALCON distinguishes itself in its ability to handle even disjunctive queries on metric spaces. Our experiments show that it performs well on both real and synthetic data in terms of precision/recall, speed of convergence, individual query speed, and scalability. Moreover, it can easily take advantage of off-the-shelf spatial- and metric- access methods.
14-21
Wu, Leejay
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Faloutsos, Christos
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Sycara, Katia
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Payne, Terry
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September 2001
Wu, Leejay
aa93a0d5-ae39-4fb5-9d28-40089c4e41c4
Faloutsos, Christos
b42401e5-5f64-4e8b-b8ef-d32d9479a94b
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Payne, Terry
0bb13d45-2735-45a3-b72c-472fddbd0bb4
Wu, Leejay, Faloutsos, Christos, Sycara, Katia and Payne, Terry
(2001)
Multimedia Queries by Example and Relevance Feedback.
IEEE Data Engineering Bulletin, 24 (3), .
Abstract
We describe the FALCON system for handling multimedia queries with relevance feedback. FALCON distinguishes itself in its ability to handle even disjunctive queries on metric spaces. Our experiments show that it performs well on both real and synthetic data in terms of precision/recall, speed of convergence, individual query speed, and scalability. Moreover, it can easily take advantage of off-the-shelf spatial- and metric- access methods.
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ieee-dataengineering2001.pdf
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Published date: September 2001
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 257338
URI: http://eprints.soton.ac.uk/id/eprint/257338
PURE UUID: 89c8d75a-9e6d-47c5-ba0b-6f39fb55fadc
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Date deposited: 24 Mar 2003
Last modified: 14 Mar 2024 05:56
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Contributors
Author:
Leejay Wu
Author:
Christos Faloutsos
Author:
Katia Sycara
Author:
Terry Payne
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