Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Nov 2018
Next issue: Feb 2019
Avg review time: 81 days


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

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


2,166,294 unique visits
Since November 1, 2009

No robots online now


SCImago Journal & Country Rank

SEARCH ENGINES - Google Pagerank


Anycast DNS Hosting

 Volume 18 (2018)
     »   Issue 4 / 2018
     »   Issue 3 / 2018
     »   Issue 2 / 2018
     »   Issue 1 / 2018
 Volume 17 (2017)
     »   Issue 4 / 2017
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
 Volume 16 (2016)
     »   Issue 4 / 2016
     »   Issue 3 / 2016
     »   Issue 2 / 2016
     »   Issue 1 / 2016
 Volume 15 (2015)
     »   Issue 4 / 2015
     »   Issue 3 / 2015
     »   Issue 2 / 2015
     »   Issue 1 / 2015
  View all issues  


Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

Read More »


  3/2011 - 14

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: 1,225 | Views: 3,087

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

Quick view
Full text preview
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 172]

[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.

[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 73] [SCOPUS Times Cited 110]

[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 23]

[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 26]

[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 44]

[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 10] [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.

[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 52] [SCOPUS Times Cited 91]

[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 22]

[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: 149 TCR
SCOPUS® Citations for all references: 507 TCR

Web of Science® Average Citations per reference: 14 ACR
SCOPUS® Average Citations per reference: 46 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 2019-02-20 22:04 in 70 seconds.

Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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.

Copyright ©2001-2019
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.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.

Website loading speed and performance optimization powered by: