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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
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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
  1. Zeeshan Rasheed ,Mubarak Shah,"Movie Genre Classification By Exploiting Audio-Visual Features Of Previews".
  2. Darin Brezeale and Diane J. Cook,"Automatic Video Classification: A Survey of theLiterature".
  3. Mehmet Emre Sargin, Hrishikesh Aradhye,"Boosting Video Classification Using Cross-Video Signals".
  4. Cheng Lu, Mark S. Drew, James AU," Classification Of Summarized Videos Using Hidden Markov Models On Compressed Chromaticity Signatures".
  5. Ankur Satyendrakumar Sharma, Mohamed Elidrisi," Classification of Multi-Media Content (Video's on YouTube) Using Tags and Focal Points".
  6. Mickael Rouvier, Georges Linar`es, Driss Matrouf,"Robust Audio-based Classification of Video Genre".
  7. Howard Zhou, Tucker Hermans, Asmita V. Karandikar, James M. Rehg,"Movie Genre Classification via Scene Categorization ".
  8. Matt Roach, John Mason, Li-Qun Xu, Fred Stentiford,"Recent Trends In Video Analysis: A Taxonomy Of Video Classification Problems".
  9. Assfalg, J. , Bertini, M. , Bimbo, A. D. , Nunziati, W. , and Pala, P. "Soccer highlights detection and recognition using HMMs". IEEE International Conference on Multimedia and Expo 2002.
  10. L. J. Latecki and D. de Wildt, "Automatic Recognition of Unpredictable Events in Videos", ICPR. Vol. 2. 2002.
  11. Aznaveh, M. M. , Mirzaei, H. , Roshan, E. and Saraee, M. : "A new color based method for skin detection using RGB vector space", Human System Interactions Conference (2008) 932-935.
  12. Tsishkou,D. , Hammami, M. and Chen, L. : Face Detection in Video Using Combined Data-mining and Histogram based Skin-color Model, IEEE Third International Symposium on Image and Signal Processing and Analysis, Rome, Italy (2003) 500-503.
  13. Sigal, L. , Sclaroff, S. and Athitsos, V. : Estimation and Prediction of involving Color Distributions for Skin Segmentation under Varying Illumination, Proceedings of IEEE Conf. Computer Vision and Pattern Recognition,vol. 2 (2000) 152-159.
  14. Hafner, W. , and Munkelt, O. : Using Color for Detecting Persons in Image Sequences, Pattern Recognition and Image Analysis, Vol. 7, No. 1 (1997) 47-52.
  15. S. Kotsiantis, D. Kanellopoulos, P. Pintelas, Multimedia Mining, WSEAS Transactions on Systems, Issue 10, Volume 3, December 2004, pp. 3263-3268
Index Terms

Computer Science
Information Sciences

Keywords

Video Classification Video Databases Genre Classification