Contemporary integration of content based image retrieval

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

doi:10.1109/ICCWAMTIP.2014.7073413

Contemporary integration of content based image retrieval

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

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

13 Citations (Scopus)

Abstract

Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.

Original language	English
Title of host publication	ICCWAMTIP 2014
Subtitle of host publication	2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	301-304
Number of pages	4
ISBN (Electronic)	9781479972081
DOIs	https://doi.org/10.1109/ICCWAMTIP.2014.7073413
Publication status	Published - 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

Content Based Image Retrieval
neural network
computer vision
complex database
feature extraction

Access to Document

10.1109/ICCWAMTIP.2014.7073413

Cite this

Shaikh, R. A., Li, J. P., Khan, A., Deep, S., Kumar, K., & Memon, I. (2014). Contemporary integration of content based image retrieval. In ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing (pp. 301-304). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCWAMTIP.2014.7073413

Shaikh, Riaz Ahmed ; Li, Jian Ping ; Khan, Asif ; Deep, Samundra ; Kumar, Kamlesh ; Memon, Imran. / Contemporary integration of content based image retrieval. ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 301-304

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title = "Contemporary integration of content based image retrieval",

abstract = "Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.",

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

year = "2014",

doi = "10.1109/ICCWAMTIP.2014.7073413",

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booktitle = "ICCWAMTIP 2014",

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

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Shaikh, RA, Li, JP, Khan, A, Deep, S, Kumar, K & Memon, I 2014, Contemporary integration of content based image retrieval. in ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 301-304, 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.2014.7073413

Contemporary integration of content based image retrieval. / Shaikh, Riaz Ahmed; Li, Jian Ping; Khan, Asif; Deep, Samundra; Kumar, Kamlesh; Memon, Imran.

ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 301-304.

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

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AB - Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.

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Shaikh RA, Li JP, Khan A, Deep S, Kumar K, Memon I. Contemporary integration of content based image retrieval. In ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 301-304 https://doi.org/10.1109/ICCWAMTIP.2014.7073413

Contemporary integration of content based image retrieval

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