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JCR Impact Factor: 0.700
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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
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2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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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
 
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Download PDF pdficon (5,585 KB) | Citation | Downloads: 1,753 | Views: 5,139

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

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 12 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 15
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Cited-By CrossRef

[1] Region-based surveillance video retrieval with effective object representation, Chamasemani, Fereshteh Falah, Affendey, Lilly Suriani, Mustapha, Norwati, Khalid, Fatimah, The Imaging Science Journal, ISSN 1368-2199, Issue 3, Volume 66, 2018.
Digital Object Identifier: 10.1080/13682199.2017.1395547
[CrossRef]

[2] Tekrarlı Ortalama Yardımıyla Renk İndirgeme ve Görüntü Erişimi, KILIÇASLAN, Mahmut, TANYERİ, Ufuk, DEMİRCİ, Recep, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, ISSN 2148-2446, Issue 1, Volume 8, 2020.
Digital Object Identifier: 10.29130/dubited.643351
[CrossRef]

[3] Improving content-based image retrieval with compact global and local multi-features, Alzu’bi, Ahmad, Amira, Abbes, Ramzan, Naeem, Jaber, Tareq, International Journal of Multimedia Information Retrieval, ISSN 2192-6611, Issue 4, Volume 5, 2016.
Digital Object Identifier: 10.1007/s13735-016-0109-4
[CrossRef]

[4] A novel technique for location independent object based image retrieval, Raghuwanshi, Ghanshyam, Tyagi, Vipin, Multimedia Tools and Applications, ISSN 1380-7501, Issue 12, Volume 76, 2017.
Digital Object Identifier: 10.1007/s11042-016-3747-x
[CrossRef]

[5] An integrated approach for image retrieval using local binary pattern, Shrivastava, Nishant, Tyagi, Vipin, Multimedia Tools and Applications, ISSN 1380-7501, Issue 11, Volume 75, 2016.
Digital Object Identifier: 10.1007/s11042-015-2589-2
[CrossRef]

[6] An Efficient Deep Learning-based Content-based Image Retrieval Framework, Sivakumar, M., M. Saravana Kumar, N., Karthikeyan, N., Computer Systems Science and Engineering, ISSN 0267-6192, Issue 2, Volume 43, 2022.
Digital Object Identifier: 10.32604/csse.2022.021459
[CrossRef]

[7] Semantic content-based image retrieval: A comprehensive study, Alzu’bi, Ahmad, Amira, Abbes, Ramzan, Naeem, Journal of Visual Communication and Image Representation, ISSN 1047-3203, Issue , 2015.
Digital Object Identifier: 10.1016/j.jvcir.2015.07.012
[CrossRef]

[8] Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching, Shrivastava, Nishant, Tyagi, Vipin, Information Sciences, ISSN 0020-0255, Issue , 2014.
Digital Object Identifier: 10.1016/j.ins.2013.08.043
[CrossRef]

[9] Region based image retrieval using ranking concept of local binary pattern, Obulesu, A., Kumar, V. Vijay, Sumalatha, L., Niranjan, S K, 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), ISBN 978-1-5090-6400-7, 2017.
Digital Object Identifier: 10.1109/ICBDACI.2017.8070863
[CrossRef]

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