i-manager Publications

News Video Concept Based Event Classification

Ashwini S. Mane*

Assistant Professor, Department of Information Technology, International Institute of Information Technology, Pune, India.

Periodicity:July - September'2017
DOI : https://doi.org/10.26634/jip.4.3.13924

Abstract

News video concepts based event classification is a system where the classification of videos will be done on the basis of video contents. For such classification firstly key frames will be extracted from the video and these key frames will be processed for Feature Extraction. In this system, basically three features will be extracted- Audio, Visual, and Motion. Using these extracted features, the system will be trained. And finally, using knowledge base, the videos will be classified according to their contents using Support Vector Machine.

Keywords

Video Segmentation, Key Frames, Feature Extraction, Classification

How to Cite this Article?

Mane, A.S. (2017). News Video Concept Based Event Classification. i-manager’s Journal on Image Processing, 4(3), 22-27. https://doi.org/10.26634/jip.4.3.13924

References

[1]. Chaisorn, L., Chua, T. S., & Lee, C. H. (2002). The segmentation of news video into story units. In Multimedia and Expo, 2002. ICME'02. Proceedings. 2002 IEEE International Conference on (Vol. 1, pp. 73-76). IEEE.

[2]. Eickeler, S., & Muller, S. (1999). Content-based video indexing of TV broadcast news using hidden Markov models. In Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on (Vol. 6, pp. 2997-3000). IEEE.

[3]. Hu, W., Xie, N., Li, L., Zeng, X., & Maybank, S. (2011). A survey on visual content-based video indexing and retrieval. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 41(6), 797-819.

[4]. Jianping, W., Tianqiang, P., & Bicheng, L. (2009). News video story segmentation based on naive bayes model. In Natural Computation, 2009. ICNC'09. Fifth International Conference on (Vol. 6, pp. 77-81). IEEE.

[5]. Liang, L., Liu, Y., Lu, H., Xue, X., & Tan, Y. P. (2005). Enhanced shot boundary detection using video text information. IEEE Transactions on Consumer Electronics, 51(2), 580-588.

[6]. Naphide, H. R., & Huang, T. S. (2001). A probabilistic framework for semantic video indexing, filtering, and retrieval. IEEE Transactions on Multimedia, 3(1), 141-151.

[7]. Tseng, V. S., Su, J. H., Huang, J. H., & Chen, C. J. (2008). Integrated mining of visual features, speech features, and frequent patterns for semantic video annotation. IEEE Transactions on Multimedia, 10(2), 260-267.

[8]. Xinbo, G., Jie, L., & Bing, Y. (2003). A graph-theoretical clustering based anchorperson shot detection for news video indexing. In Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on (pp. 108- 113). IEEE.

[9]. Yu, J., He, Y., & Li, S. (2005). Content-based news video mining. In International Conference on Advanced Data Mining and Applications (pp. 431-438). Springer, Berlin, Heidelberg.

[10]. Zhu, Y., Ming, Z., & Zhang, J. (2008). Video scene classification and segmentation based on support vector machine. In Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on (pp. 3571-3576). IEEE.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.