Publication Type : Journal Article
Publisher : International Journal of Business Information Systems,
Source : International Journal of Business Information Systems, Volume 18, Issue 2, p.160 (2015)
Url : https://www.inderscience.com/info/inarticle.php?artid=67263
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2015
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, K. Ganesh, N. Kumar, S., Sethupathi, P. V. Rajendra, and Dr. 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, no. 2, p. 160, 2015.