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dc.contributor.author
Weber, Roger
dc.contributor.author
Mlivoncic, Michael
dc.date.accessioned
2022-09-28T12:36:06Z
dc.date.available
2017-06-11T11:55:25Z
dc.date.available
2022-09-28T12:36:06Z
dc.date.issued
2003-11
dc.identifier.isbn
1-58113-723-0
en_US
dc.identifier.other
10.1145/956863.956878
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/88054
dc.description.abstract
Region-based image retrieval(RBIR) was recently proposed as an extension of content-based image retrieval(CBIR). An RBIR system automatically segments images into a variable number of regions, and extracts for each region a set of features. Then, a dissimilarity function determines the distance between a database image and a set of reference regions. Unfortunately, the large evaluation costs of the dissimilarity function are restricting RBIR to relatively small databases. In this paper, we apply a multi-step approach to enable region-based techniques for large image collections. We provide cheap lower and upper bounding distance functions for a recently proposed dissimilarity measure. As our experiments show, these bounding functions are so tight, that we have to evaluate the expensive distance function for less than 0.5\%of the images. For a typical image database with more than 370,000images, our multi-step approach improved retrieval performance by a factor of more than5 compared to the currently fastest methods.
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
en_US
dc.subject
Region-based Image Retrieval
en_US
dc.subject
RBIR
en_US
dc.subject
CBIR
en_US
dc.title
Efficient Region-Based Image Retrieval
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
en_US
ethz.pages.start
69
en_US
ethz.pages.end
76
en_US
ethz.event
12th International Conference on Information and Knowledge Management (CIKM 2003)
en_US
ethz.event.location
New Orleans, LA, USA
en_US
ethz.event.date
November 3-8, 2003
en_US
ethz.publication.place
New York
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
03280 - Schek, Hans-Jörg
en_US
ethz.leitzahl.certified
03280 - Schek, Hans-Jörg
ethz.date.deposited
2017-06-11T11:55:36Z
ethz.source
ECIT
ethz.identifier.importid
imp59365233ea40437563
ethz.ecitpid
pub:138643
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-25T11:15:35Z
ethz.rosetta.lastUpdated
2017-12-21T18:52:41Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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