Image pattern recognition in big data: taxonomy and open challenges: survey

S. Zerdoumi; A.Q.M. Sabri; A. Kamsin; I.A.T. Hashem; A. Gani; S. Hakak; M.A. Al-garadi; V. Chang

doi:10.1007/s11042-017-5045-7

Image pattern recognition in big data: taxonomy and open challenges: survey

S. Zerdoumi, A.Q.M. Sabri, A. Kamsin, I.A.T. Hashem, A. Gani, S. Hakak, M.A. Al-garadi, V. Chang

Research output: Contribution to journal › Article › peer-review

Abstract

Image pattern recognition in the field of big data has gained increasing importance and attention from researchers and practitioners in many domains of science and technology. This paper focuses on the usage of image pattern recognition for big data applications. In this context, the taxonomy of image pattern recognition and big data is revealed. The applications of image pattern recognition for big data, including multimedia, biometrics, and biology/biomedical, are also highlighted. Moreover, the significance of using pattern-based feature reduction in big data is discussed, and machine-learning techniques in pattern recognition applications are presented. A comparison based on the objectives of the approaches is presented to underline the taxonomy. This paper provides a novel review in exploring image recognition approaches for big data, which can be used in future research.

Original language	English
Pages (from-to)	10091–10121
Number of pages	30
Journal	Multimedia Tools and Applications
DOIs	https://doi.org/10.1007/s11042-017-5045-7
Publication status	Published - 1 Apr 2018

Access to Document

10.1007/s11042-017-5045-7Licence: CC BY-NC-ND

http://www.scopus.com/inward/record.url?eid=2-s2.0-85028316996&partnerID=MN8TOARS

Fingerprint Dive into the research topics of 'Image pattern recognition in big data: taxonomy and open challenges: survey'. Together they form a unique fingerprint.

Cite this

@article{d39bba3688514a39abc28d25b5111794,

title = "Image pattern recognition in big data: taxonomy and open challenges: survey",

abstract = "Image pattern recognition in the field of big data has gained increasing importance and attention from researchers and practitioners in many domains of science and technology. This paper focuses on the usage of image pattern recognition for big data applications. In this context, the taxonomy of image pattern recognition and big data is revealed. The applications of image pattern recognition for big data, including multimedia, biometrics, and biology/biomedical, are also highlighted. Moreover, the significance of using pattern-based feature reduction in big data is discussed, and machine-learning techniques in pattern recognition applications are presented. A comparison based on the objectives of the approaches is presented to underline the taxonomy. This paper provides a novel review in exploring image recognition approaches for big data, which can be used in future research.",

author = "S. Zerdoumi and A.Q.M. Sabri and A. Kamsin and I.A.T. Hashem and A. Gani and S. Hakak and M.A. Al-garadi and V. Chang",

year = "2018",

month = apr,

day = "1",

doi = "10.1007/s11042-017-5045-7",

language = "English",

pages = "10091–10121",

journal = "Multimedia Tools and Applications",

issn = "1380-7501",

publisher = "Springer Netherlands",

}

TY - JOUR

T1 - Image pattern recognition in big data: taxonomy and open challenges: survey

AU - Zerdoumi, S.

AU - Sabri, A.Q.M.

AU - Kamsin, A.

AU - Hashem, I.A.T.

AU - Gani, A.

AU - Hakak, S.

AU - Al-garadi, M.A.

AU - Chang, V.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - Image pattern recognition in the field of big data has gained increasing importance and attention from researchers and practitioners in many domains of science and technology. This paper focuses on the usage of image pattern recognition for big data applications. In this context, the taxonomy of image pattern recognition and big data is revealed. The applications of image pattern recognition for big data, including multimedia, biometrics, and biology/biomedical, are also highlighted. Moreover, the significance of using pattern-based feature reduction in big data is discussed, and machine-learning techniques in pattern recognition applications are presented. A comparison based on the objectives of the approaches is presented to underline the taxonomy. This paper provides a novel review in exploring image recognition approaches for big data, which can be used in future research.

AB - Image pattern recognition in the field of big data has gained increasing importance and attention from researchers and practitioners in many domains of science and technology. This paper focuses on the usage of image pattern recognition for big data applications. In this context, the taxonomy of image pattern recognition and big data is revealed. The applications of image pattern recognition for big data, including multimedia, biometrics, and biology/biomedical, are also highlighted. Moreover, the significance of using pattern-based feature reduction in big data is discussed, and machine-learning techniques in pattern recognition applications are presented. A comparison based on the objectives of the approaches is presented to underline the taxonomy. This paper provides a novel review in exploring image recognition approaches for big data, which can be used in future research.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85028316996&partnerID=MN8TOARS

U2 - 10.1007/s11042-017-5045-7

DO - 10.1007/s11042-017-5045-7

M3 - Article

SP - 10091

EP - 10121

JO - Multimedia Tools and Applications

JF - Multimedia Tools and Applications

SN - 1380-7501

ER -