Abstract
The video text detection is an expert system in which we study how the performance can be enhanced by adding neural network. The implementation of video text detection using algorithm based approach [9] is taken and compared with the neural networks based implementation [11]. A standard protocol [10] for evaluating the video text detection approach is taken and its metrics are used for the comparative study. With this comparison, the evaluation of both the systems for better performance can be done. The conclusions necessary for enhancing the usage of neural network is drawn based on the comparison study. The paper is about encouraging the use of neural network in an expert system (Video Text Detection Application).
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References
Kim, H.: Efficient Automatic Text Location Method and Content-based Indexing and Structuring of Video Database. Journal of Visual Communication and Image Representation 7, 336–344 (1996)
Sato, T., Kanade, T., Hughes, E., Smith, M.: Video OCR for digital news archives. In: Proceedings of IEEE Workshop on Content-Based Access to Image and Video Databases (1998)
Lienhart, R., Stuber, F.: Automatic text recognition in digital videos. In: Proceedings of ACM Multimedia, pp. 11–20 (1996)
Shim, J., Dorai, C., Bolle, R.: Automatic text extraction from video for content-based annotation and retrieval. In: Proceedings of ICPR, pp. 618–620 (1998)
Carretero-Diaz, L.E., Lopez-Sanchez, J.I.: The Importance Of Artificial Intelligence-Expert Systems- In Computer Integrated Manufacturing. In: Proceedings of the International Conference on Engineering and Technology Management, IEMC 1998. Pioneering New Technologies: Management Issues and Challenges in the Third Millennium (Cat. No.98CH36266), pp. 295–301 (1998)
McCarthy, J.: Generality in artificial intelligence. Commun. ACM 30(12), 1030–1035 (1987)
Carling, A.: Introducing Neural Networks. SIGMA PRESS-Wilmslow, United Kingdom
Anderson, M.F., Cohen, M.E., Hudson, D.L.: Combination of a Neural Network Model and a Rule-Based Expert System to Determine Efficacy of Medical Testing Procedures. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Images of the Twenty-First Century (Cat. No.89CH2770-6), vol. 6, pp. 1991–1992 (1989)
Changick, K., Wonjun, K.: A New Approach for Overlay Text Detection and Extraction from Complex Video Scene. IEEE Transactions on Image Processing (February 2009); Sponsored by IEEE signal processing society
Zhang, H.-J., Liu, W., Hua, X.-S.: An Automatic Performance Evaluation Protocol for Video Text Detection Algorithms. IEEE Transactions on Circuits and Systems for Video Technology (April 2004)
Doermann, D., Li, H.: A video Text Detection System Based on Automated Training. In: Proceedings 15th International Conference on Pattern Recognition (2000)
Shin, C.S., Kim, K.I., Park, M.H., Kim, H.J.: Support Vector Machine-Based Text Detection in Digital Video. In: Proceedings of the 2000 IEEE Signal Processing Society Workshop Neural Networks for Signal Processing X, vol. 2, pp. 634–641 (2000)
Jeong, K.Y., Jung, K., Kim, E.Y., Kim, H.J.: Neural Network-Based Text Location for News Video Indexing. In: Proc. ICIP 1999, Japan (1999)
Hua, X.-S., Chen, X.-R., Wenyin, L., Zhang, H.-J.: Automatic location of text in video frames. In: Proc. ACM Multimedia 2001 Workshops: Multimedia Information Retrieval (MIR 2001), Ottawa, ON, Canada, October 5, pp. 24–27 (2001)
Qi, W., et al.: Integrating Visual, Audio and Text Analysis for News Video. In: Proc. Int. Conf. Image Processing (ICIP 2000), Vancouver, BC, Canada (2000)
Xi, J., Hua, X.-S., Chen, X.-R., Wenyin, L., Zhang, H.-J.: A Video Text Detection and Recognition System. In: Proc. 2001 IEEE Int. Conf. Multimedia and Expo. (ICME 2001), Tokyo, Japan, August 22-25, pp. 1080–1083 (2001)
Ye, J., Huang, L.-L., Hao, X.L.: Neural Network Based Text Detection in Videos Using Local Binary Patterns. In: Chinese Conference on Pattern Recognition, CCPR 2009, November 4-6, pp. 1–5 (2009), doi:10.1109/CCPR.2009.5343973
Taylor, G.W., Wolf, C.: Reinforcement Learning for Parameter Control of Text Detection in Images from Video Sequences. In: Proceedings of the International Conference on Information and Communication Technologies: From Theory to Applications, April 19-23, pp. 517–518 (2004), doi:10.1109/ICTTA.2004.1307859
Li, M., Wang, C.: An Adaptive Text Detection Approach in Images and Video Frames. In: IEEE International Joint Conference on Neural Networks, IJCNN 2008. IEEE World Congress on Computational Intelligence, June 1-8, pp. 72–77 (2008)
Li, H., Doermann, D., Kia, O.: Automatic Text Detection and Tracking in Digital Video. IEEE Transactions on Image Processing 9(1), 147–156 (2000)
Li, H., Doermann, D.: A Video Text Detection System Based on Automated Training. In: Proceedings of the 15th International Conference on Pattern Recognition, vol. 2, pp. 223–226 (2000)
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Balasubramaniyan, S.K., Mani, P.K., Karthikeyan, A.K., Shankar, G. (2012). Encouraging the Usage of Neural Network in Video Text Detection Application. In: Meghanathan, N., Chaki, N., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. Computer Science and Engineering. CCSIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27308-7_24
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DOI: https://doi.org/10.1007/978-3-642-27308-7_24
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