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Comparision of image classification methods on event data

Publication Type : Journal Article

Publisher : International Journal of Applied Engineering Research

Source : Volume 10, p.29631 - 29640 (2015)

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Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2015

Abstract : The aim of this work is to classify images related to social events. With advances in digital image processing, automated classification of event related images over large categories of dataset is possible only if the name of the event is known. The purpose of the paper is to identify different events in a given set of images with the help of visual content. We compare the performance of Global (GIST) as well as Local Descriptors (SIFT) which is helpful in achieving this classification and retrieval of images. The performances of both the approaches are assessed. © Research India Publications.

Cite this Research Publication : C. K. Kumar, Manjusha R., and Parameswaran, L., “Comparision of image classification methods on event data”, vol. 10, pp. 29631 - 29640, 2015.

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