Please use this identifier to cite or link to this item:
Main Title: A novel coarse-to-fine remote sensing image retrieval system in JPEG-2000 compressed domain
Author(s): Preethy Byju, Akshara
Demir, Begüm
Bruzzone, Lorenzo
Type: Conference Object
Language Code: en
Abstract: This paper presents a novel content-based image search and retrieval (CBIR) system that achieves coarse to fine remote sensing (RS) image description and retrieval in JPEG 2000 compressed domain. The proposed system initially: i) decodes the code-streams associated to the coarse (i.e., the lowest) wavelet resolution, and ii) discards the most irrelevant images to the query image that are selected based on the similarities estimated among the coarse resolution features of the query image and those of the archive images. Then, the code-streams associated to the sub-sequent resolution of the remaining images in the archive are decoded and the most irrelevant images are selected by considering the features associated to both resolutions. This is achieved by estimating the similarities between the query image and remaining images by giving higher weights to the features associated to the finer resolution while assigning lower weights to those related to the coarse resolution. To this end, the pyramid match kernel similarity measure is exploited. These processes are iterated until the code-streams associated to the highest wavelet resolution are decoded only for a very small set of images. By this way, the proposed system exploits a multiresolution and hierarchical feature space and accomplish an adaptive RS CBIR with significantly reduced retrieval time. Experimental results obtained on an archive of aerial images confirm the effectiveness of the proposed system in terms of retrieval accuracy and time when compared to the standard CBIR systems.
Issue Date: 9-Oct-2018
Date Available: 25-Nov-2019
DDC Class: 006 Spezielle Computerverfahren
Subject(s): image retrieval in compressed domain
JPEG 2000 algorithm
coarse to fine image retrieval
remote sensing
Proceedings Title: Proceedings of SPIE 10789 – Image and Signal Processing for Remote Sensing XXIV
Editor: Bruzzone, Lorenzo
Bovolo, Francesca
Publisher: SPIE
Publisher Place: Bellingham, Wash.
Article Number: 107890T
Publisher DOI: 10.1117/12.2327051
EISSN: 1996-756X
ISBN: 9781510621626
ISSN: 0277-786X
Notes: Copyright 2018 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Appears in Collections:FG Remote Sensing Image Analysis Group » Publications

Files in This Item:
File Description SizeFormat 
preethy-byju_etal_2018.pdfPublished paper868.38 kBAdobe PDFThumbnail

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.