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Image retrieval using compression-based techniques

Cerra, Daniele and Datcu, Mihai (2010) Image retrieval using compression-based techniques. IEEE. Source and Channel Coding (SCC), 2010 International ITG Conference on, 18 Jan - 21 Jan 2010, Siegen, Germany. ISBN 978-1-4244-6872-0

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Official URL: http://www.uni-siegen.de/fb12/dcs/scc2010/

Abstract

A new method for semantic retrieval of color images employing data compression is presented. While typical content-based image retrieval systems operate in some parameter space, the introduced data-driven technique uses as features the very image data, represented as sets of recurring patterns collected in dictionaries. In a first offline step, the images are quantized in the Hue Saturation Value space and converted into strings, after being modified to preserve some vertical information in the process, and representative dictionaries are extracted from each string with a data compression algorithm; subsequently, the dictionaries are matched in pairs and the distance between each couple of them is estimated. On the basis of the computed distances, the system enables the user to retrieve images with similar content to a given query image. Compression-based classification techniques, being data-driven, have the drawback of being computationally intensive and have been applied, in the general case, to restricted datasets; instead, the low-complexity solutions employed in this work allow applying this similarity measure on larger datasets, keeping at the same time the desirable parameter-free approach which is characteristic of these methods. Experiments show that the proposed technique outperforms similar recent concepts based on Vector Quantization.

Item URL in elib:https://elib.dlr.de/65983/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Image retrieval using compression-based techniques
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleDLRUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIED
Date:April 2010
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Publisher:IEEE
ISBN:978-1-4244-6872-0
Status:Published
Keywords:Compression , information retrieval , pattern matching , similarity measure , vector quantization
Event Title:Source and Channel Coding (SCC), 2010 International ITG Conference on
Event Location:Siegen, Germany
Event Type:international Conference
Event Dates:18 Jan - 21 Jan 2010
Organizer:University of Siegen
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Competence Centre Information Mining (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:02 Nov 2010 13:13
Last Modified:31 Jul 2019 19:29

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