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JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 56 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

2019-Dec-16
Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  3/2011 - 14

 HIGH-IMPACT PAPER 

Content-Based Image Retrieval Method using the Relative Location of Multiple ROIs

LEE, J. See more information about LEE, J. on SCOPUS See more information about LEE, J. on IEEExplore See more information about LEE, J. on Web of Science, NANG, J. See more information about NANG, J. on SCOPUS See more information about NANG, J. on SCOPUS See more information about NANG, J. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (5,585 KB) | Citation | Downloads: 1,287 | Views: 3,779

Author keywords
image retrieval, information retrieval, content based retrieval, search methods, nearest neighbor searches

References keywords
image(14), retrieval(8), content(5), mpeg(4), icip(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 85 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03014
Web of Science Accession Number: 000296186700014
SCOPUS ID: 80055071456

Abstract
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Recently the method of specifying multiple regions of interest (ROI) based image retrieval has been suggested. However it measures the similarity of the images without proper consideration of the spatial layouts of the ROIs and thus fails to accurately reflect the intent of the user. In this paper, we propose a new similarity measurement using the relative layouts of the ROIs. The proposed method divides images into blocks of certain size and extracted MPEG-7 dominant colors from the blocks overlapping with the user-designated ROIs to measure their similarities with the target images. At this point, similarity was weighted when the relative location of the ROIs in the query image and the target image was the same. The relative location was calculated by four directions (i.e. up, down, left and right) of the basis ROI. The proposed method by an experiment using MPEG-7 XM shows that its performance is higher than the global image retrieval method or the retrieval method that does not consider the relative location of ROIs.


References | Cited By  «-- Click to see who has cited this paper

[1] S. Sclaroff, L. Taycher, and M. L. Cascia, "Image-Rover: A Content-based Image Browser for the World Wide Web," Proc. of IEEE Workshop on Content-based Access of Image and Video Libraries, pp.2-9, 1997.
[CrossRef] [SCOPUS Times Cited 181]


[2] S. Mukerjea and J. Cho, "Automatically Determining Semantics for World Wide Web Multimedia Information Retrieval," Journal of Visual Languages and Computing, vol.10, pp.585-606, 1999.
[CrossRef]


[3] N.C. Yang, W. H. Chang, C.M. Kuo, and T.H Li, "A Fast MPEG-7 Dominant Color Extraction with New Similarity Measure for Image Retrieval," Journal of Visual Communication and Image Representation, vol.19, pp.92-105, 2008.
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 122]


[4] L.M. Po, and K.M . Wong, "A New Palette Histogram Similarity Measure for MPEG-7 Dominant Color Descriptor," Proc. of IEEE Int. Conf. on Image Processing(ICIP'04), pp.1533-1536, 2004.
[CrossRef] [SCOPUS Times Cited 25]


[5] H. Shao, Y. Wu, W. Cui, and J. Zhang, "Image Retrieval Based on MPEG-7 Dominant Color Descriptor," Proc. of IEEE Int. Conf. on Young Computer Scientists(ICYCS 2008), pp.753-757, 2008.
[CrossRef] [SCOPUS Times Cited 30]


[6] K.-M. Wong, K.-W. Cheung, and L.-M. Po, "MIRROR: An Interactive Content Based Image Retrieval System," Proc. of IEEE Int. Symposium on Circuits and Systems(ISCAS 2005), vol.2, pp.1541-1544, 2005.
[CrossRef] [SCOPUS Times Cited 45]


[7] E. L. Broek, P. M. F. Kisters, and L.G. Vuurpijl, "The utilization of human color categorization for content-based image retrieval," Proc. of the SPIE, vol.5292, pp.351-362, 2004.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 19]


[8] Q. Tian, Y. Wu, and T.S. Huang, "Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval", Proc. of IEEE Int. Conf. on Image Processing(ICIP'2000), vol.3, pp.746-749, 2000.
[CrossRef]


[9] B. G. Prasad, K.K. Biswas, and S. K. Gupta, "Region-Based Image Retrieval using Integrated Color, Shape and Location Index," Computer Vision and Image Understanding, vol.94, pp.193-233, 2004.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 98]


[10] B. Moghaddam, H. Biermann, and D. Margaritis, "Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval," Multimedia Tools and Applications, vol.14, no.2, pp.201-210, 2001.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 24]


[11] ISO/IEC JTC1/SC29/WG11, MPEG-7 Visual Part of Experimentation Model Version 11.0, 2001.

References Weight

Web of Science® Citations for all references: 176 TCR
SCOPUS® Citations for all references: 544 TCR

Web of Science® Average Citations per reference: 16 ACR
SCOPUS® Average Citations per reference: 49 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-03-05 14:59 in 64 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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