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A fast compression-based similarity measure with applications to content-based image retrieval

Cerra, Daniele and Datcu, Mihai (2012) A fast compression-based similarity measure with applications to content-based image retrieval. Journal of Visual Communication and Image Representation, 23 (2), pp. 293-302. Elsevier. DOI: 10.1016/j.jvcir.2011.10.009 ISSN 1047-3203

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Official URL: http://www.sciencedirect.com/science/article/pii/S1047320311001441

Abstract

Compression-based similarity measures are effectively employed in applications on diverse data types with a basically parameter-free approach. Nevertheless, there are problems in applying these techniques to medium-to-large datasets which have been seldom addressed. This paper proposes a similarity measure based on compression with dictionaries, the Fast Compression Distance (FCD), which reduces the complexity of these methods, without degradations in performance. On its basis a content-based color image retrieval system is defined, which can be compared to state-of-the-art methods based on invariant color features. Through the FCD a better understanding of compression-based techniques is achieved, by performing experiments on datasets which are larger than the ones analyzed so far in literature.

Item URL in elib:https://elib.dlr.de/72779/
Document Type:Article
Title:A fast compression-based similarity measure with applications to content-based image retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleDLRUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Date:February 2012
Journal or Publication Title:Journal of Visual Communication and Image Representation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:23
DOI :10.1016/j.jvcir.2011.10.009
Page Range:pp. 293-302
Editors:
EditorsEmail
Kuo, C.-C.J. UNSPECIFIED
Zeevi, Y.UNSPECIFIED
Publisher:Elsevier
ISSN:1047-3203
Status:Published
Keywords:Data compression; Normalized Compression Distance; Similarity measure; Parameter-free; Data mining; Image retrieval; Image classification; Hue Saturation Value
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:13 Dec 2011 07:35
Last Modified:31 Jul 2019 19:34

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