Inchoative integration of content based image retrieval: Shodhani

Asif Khan; Jian Ping Li; Samundra Deep; Riaz Ahmed Shaikh; Muhammad Hammad Memon; Kamlesh Kumar

doi:10.1109/ICCWAMTIP.2014.7073410

Inchoative integration of content based image retrieval: Shodhani

Asif Khan, Jian Ping Li, Samundra Deep, Riaz Ahmed Shaikh, Muhammad Hammad Memon, Kamlesh Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during recent years covering various methods for segmentation, feature extraction, indexing and feature transformation are described. Also, a technique of combining feature transformation with clustering algorithm is proposed for efficient image retrieval.

Original language	English
Title of host publication	2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	289-292
Number of pages	4
ISBN (Electronic)	9781479972081
ISBN (Print)	9781479972074
DOIs	https://doi.org/10.1109/ICCWAMTIP.2014.7073410
Publication status	Published - 30 Mar 2014
Externally published	Yes
Event	2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 - Sichuan Province, Chengdu, China Duration: 19 Dec 2014 → 21 Dec 2014

Other

Other	2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014
Country/Territory	China
City	Sichuan Province, Chengdu
Period	19/12/14 → 21/12/14

Keywords

Contents Based Image Retrieval
Feature Extraction
Image Segmentation

Access to Document

10.1109/ICCWAMTIP.2014.7073410

Cite this

Khan, A., Li, J. P., Deep, S., Shaikh, R. A., Memon, M. H., & Kumar, K. (2014). Inchoative integration of content based image retrieval: Shodhani. In 2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014 (pp. 289-292). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCWAMTIP.2014.7073410

@inproceedings{7c04fe12debd4bc9aedba2c40c65282b,

title = "Inchoative integration of content based image retrieval: Shodhani",

abstract = "Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during recent years covering various methods for segmentation, feature extraction, indexing and feature transformation are described. Also, a technique of combining feature transformation with clustering algorithm is proposed for efficient image retrieval.",

keywords = "Contents Based Image Retrieval, Feature Extraction, Image Segmentation",

author = "Asif Khan and Li, {Jian Ping} and Samundra Deep and Shaikh, {Riaz Ahmed} and Memon, {Muhammad Hammad} and Kamlesh Kumar",

year = "2014",

month = mar,

day = "30",

doi = "10.1109/ICCWAMTIP.2014.7073410",

language = "English",

isbn = "9781479972074",

pages = "289--292",

booktitle = "2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 ; Conference date: 19-12-2014 Through 21-12-2014",

}

Khan, A, Li, JP, Deep, S, Shaikh, RA, Memon, MH & Kumar, K 2014, Inchoative integration of content based image retrieval: Shodhani. in 2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 289-292, 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014, Sichuan Province, Chengdu, China, 19/12/14. https://doi.org/10.1109/ICCWAMTIP.2014.7073410

Inchoative integration of content based image retrieval: Shodhani. / Khan, Asif; Li, Jian Ping; Deep, Samundra et al.
2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 289-292.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T2 - 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014

AU - Khan, Asif

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AU - Shaikh, Riaz Ahmed

AU - Memon, Muhammad Hammad

AU - Kumar, Kamlesh

PY - 2014/3/30

Y1 - 2014/3/30

N2 - Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during recent years covering various methods for segmentation, feature extraction, indexing and feature transformation are described. Also, a technique of combining feature transformation with clustering algorithm is proposed for efficient image retrieval.

AB - Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during recent years covering various methods for segmentation, feature extraction, indexing and feature transformation are described. Also, a technique of combining feature transformation with clustering algorithm is proposed for efficient image retrieval.

KW - Contents Based Image Retrieval

KW - Feature Extraction

KW - Image Segmentation

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SN - 9781479972074

SP - 289

EP - 292

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PB - Institute of Electrical and Electronics Engineers (IEEE)

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ER -

Khan A, Li JP, Deep S, Shaikh RA, Memon MH, Kumar K. Inchoative integration of content based image retrieval: Shodhani. In 2014 11th international computer conference on wavelet active media technology and information processing, ICCWAMTIP 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 289-292 doi: 10.1109/ICCWAMTIP.2014.7073410

Inchoative integration of content based image retrieval: Shodhani

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