Publication Type:

Journal Article

Source:

International Journal of Business Information Systems, Volume 18, Number 2, p.160-197 (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84922279433&partnerID=40&md5=a9aec580ea0a2ed3680331b4e1468bf0

Abstract:

The aim of this paper is to review the current state of the art in image retrieval using meta-heuristics. Besides, this paper provides a wide survey on the technical achievements in the research area of image retrieval for business applications especially using meta-heuristics. This survey includes top 33 papers covering the research aspects of image features representation, extraction and system design. Further, based on the demand from real world applications, open research issues are identified and future research directions are suggested.

Cite this Research Publication

S. Umamaheswaran, Ganesh, K., Kumar, N. S., Sethupathi, P. V. Rajendra, and Anbuudayasankar, S. P., “Variants, meta-heuristic solution approaches and applications for image retrieval in business-comprehensive review and framework”, International Journal of Business Information Systems, vol. 18, pp. 160-197, 2015.