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Reseach Article

Identification and Elimination of Similar Images in an Event Image Set

Published on May 2014 by Hanumanthappa. M, S Regina Lourdhu Suganthi
International Conference on Current Trends in Advanced Computing
Foundation of Computer Science USA
ICCTAC2014 - Number 1
May 2014
Authors: Hanumanthappa. M, S Regina Lourdhu Suganthi
a29e4b54-20af-4d01-a32f-5d89e1050fdf

Hanumanthappa. M, S Regina Lourdhu Suganthi . Identification and Elimination of Similar Images in an Event Image Set. International Conference on Current Trends in Advanced Computing. ICCTAC2014, 1 (May 2014), 23-26.

@article{
author = { Hanumanthappa. M, S Regina Lourdhu Suganthi },
title = { Identification and Elimination of Similar Images in an Event Image Set },
journal = { International Conference on Current Trends in Advanced Computing },
issue_date = { May 2014 },
volume = { ICCTAC2014 },
number = { 1 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 23-26 },
numpages = 4,
url = { /proceedings/icctac2014/number1/16174-1410/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Current Trends in Advanced Computing
%A Hanumanthappa. M
%A S Regina Lourdhu Suganthi
%T Identification and Elimination of Similar Images in an Event Image Set
%J International Conference on Current Trends in Advanced Computing
%@ 0975-8887
%V ICCTAC2014
%N 1
%P 23-26
%D 2014
%I International Journal of Computer Applications
Abstract

Over the past decade Video and Image data is accumulated in the storage media of various commercial organizations, government and educational Institutions. Events are organized round the year in these organizations and are recorded through the digital devices installed at the event venues. Eventually the data is piled up in the electronic vaults and the end-users are unaware of the implications and importance of this data. Thus an automated system is needed for the image data to be indexed, captioned and maintained as an archive to extend quick summary of events for preparing annual documents, magazines and departmental newsletters. This paper focus on preprocessing of the captured image data to identify and eliminate similar images. The resulting image set thus eliminate redundant data and in turn reduce the storage space.

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Index Terms

Computer Science
Information Sciences

Keywords

Cbir Rbir Febic Structural Similarity (ssim) Human Visual System (hvs)