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A Survey on Classification of Videos using Data Mining Techniques

Published on November 2012 by Prashant Shambharkar, Nirmit Srivastava, Alok Yadav, Aseem Sharma, Ankit Katiyar
Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 5
November 2012
Authors: Prashant Shambharkar, Nirmit Srivastava, Alok Yadav, Aseem Sharma, Ankit Katiyar
e6e2a0a2-ddb2-4405-ab1e-db4846e2b61f

Prashant Shambharkar, Nirmit Srivastava, Alok Yadav, Aseem Sharma, Ankit Katiyar . A Survey on Classification of Videos using Data Mining Techniques. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 5 (November 2012), 27-32.

@article{
author = { Prashant Shambharkar, Nirmit Srivastava, Alok Yadav, Aseem Sharma, Ankit Katiyar },
title = { A Survey on Classification of Videos using Data Mining Techniques },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 5 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 27-32 },
numpages = 6,
url = { /specialissues/icnict/number5/9446-1061/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Prashant Shambharkar
%A Nirmit Srivastava
%A Alok Yadav
%A Aseem Sharma
%A Ankit Katiyar
%T A Survey on Classification of Videos using Data Mining Techniques
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 5
%P 27-32
%D 2012
%I International Journal of Computer Applications
Abstract

Videos are in huge demand today. The internet is flooded with videos of all types like movie trailers, songs, security cameras etc. we can find so many genres but the only difficulty we face is the proper search of these videos. Sometimes we are irritated and get sick of the irrelevant search result. To sort out this difficulty we aim to classify videos on the basis of different attributes. Here in this paper we survey the video classification literature. Much work has been done in this field and much is awaited. We describe the general features chosen and summarize the research in this area. We conclude with ideas for further research.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Video Classification Video Databases Genre Classification