The week's pick
Random Articles
Reseach Article
Audio-Video based Classification using SVM and AANN
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 6 |
| Year of Publication: 2012 |
| Authors: K. Subashini, S. Palanivel, V. Ramalingam |
10.5120/6269-8425
|
K. Subashini, S. Palanivel, V. Ramalingam . Audio-Video based Classification using SVM and AANN. International Journal of Computer Applications. 44, 6 ( April 2012), 33-39. DOI=10.5120/6269-8425
Abstract
This paper presents a method to classify audio-video data into one of five classes: advertisement, cartoon, news, movie and songs. Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data. The color histogram features extracted from the images in the video clips are used as visual features. The experiments on different genres illustrate the results of classification are significant and effective. Experimental results of audio classification and video classification are combined using weighted sum rule for audio-video based classification. The method SVM and AANN classifies the audio-video clips with an accuracy of 95. 54%. , and 92. 94%.
References
- Dhanalakshmi. P. ; Palanivel. S. ; and Ramaligam. V. ; (2008), "Classification of audio signals using SVM and RBFNN", In Elsevier, Expert systems with application, Vol. 36, pp. 6069–6075.
- Kalaiselvi Geetha. M. ; Palanivel. S. ; and Ramaligam. V. ; (2008), "A novel block intensity comparison code for video classification and retrivel", In Elsevier, Expert systems with application, Vol. 36, pp 6415-6420.
- Kalaiselvi Geetha, M. ; Palanivel, S. ; and Ramaligam, V. ; (2007), "HMM based video classification using static and dynamic features", In proceedings of the IEEE international conference on computational intelligence and multimedia applications.
- Palanivel. S. ; (2004). , "Person authentication using speech, face and visual speech", Ph. D thesis, I IT, Madras.
- Jing Liu. ; and Lingyun Xie. ; "SVM-based Automatic classification of musical instruments", IEEE Int'l Conf. , Intelligent Computation Technology and Automation (2010. ), vol. 3, pp 669–673.
- Kiranyaz. S. ; Qureshi. A. F. ; and Gabbouj. M. ; (2006), "A Generic Audio Classification and Segmentation approach for Multimedia Indexing and Retrieval". , IEEE Trans. Audi. , Speech and Lang Processing, Vol. 14, No. 3, pp. 1062–1081.
- Darin Brezeale and Diane J. cook, Fellow. IEEE (2008), "Automatic video classification: A Survey of the literature", IEEE Transactions on systems, man, and cybernetics-part c: application and reviews, vol. 38, no. 3, pp. 416-430.
- Hongchen Jiang. ; Junmei Bai. ; Shuwu . Zhang. ; and BoXu. ; ( 2005)," SVM - based audio scene classification", Proceeding of NLP-KE, pp. 131–136.
- V. Vapnik. ;"Statistical Learning Theory", John Wiley and Sons, New York, 1995.
- J. C. Burges Christophe. ; "A tutorial on support vector machines for pattern recognition," Data mining and knowledge discovery, No. 2, pp. 121–167, 1998.
- Rajapakse. M . ; and Wyse. L. ; (2005), "Generic audio classification using a hybrid model based on GMMs and HMMs ",In Proceedings of the IEEE ,pp-1550-1555.
- Jarina. R. ; Paralici. M. ; Kuba. M. ; Olajec. J. ; Lukan. A. ; and Dzurek. M. ; "Development of reference platform for generic audio classification development of reference plat from for generic audio classification", IEEE Computer society, Work shop on Image Analysis for Multimedia Interactive (2008 ), pp-239–242.
- Kaabneh,K. ; Abdullah. A. ; and Al-Halalemah,A. (2006). , "Video classification using normalized information distance", In proceedings of the geometric modeling and imaging – new trends (GMAP06) (pp. 34-40).
- Suresh. V. ; Krishna Mohan. C. ; Kumaraswamy. R. ; and Yegnanarayana. B. ; (2004). ,"Combining multiple evidence for video classification", In IEEE international conference Intelligent sensing and information processing (ICISIP-05), India (pp. 187–192).
- Gillespie. W. J. ; and Nguyen, D. T (2005). ; "Hierarchical decision making scheme for sports video categorization with temporal post processing", In Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR04) (pp. 908 -913).
- Suresh. V. ; Krishna Mohan. C. ; Kumaraswamy. R. ; and Yegnanarayana. B. ; (2004). ,"Content-based video classification using SVM", In International conference on neural information processing, Kolkata (pp. 726–731).
Index Terms
Keywords