The Community for Technology Leaders
RSS Icon
Issue No.03 - July-September (2009 vol.16)
pp: 39-47
Darin Brezeale , University of Texas at Arlington
Diane J. Cook , Washington State University, Pullman
<p>An approach to identifying a viewer's video preferences uses hidden Markov models by combining visual features and closed captions.</p>
video, user preferences, machine learning, closed caption analysis, hidden Markov models
Darin Brezeale, Diane J. Cook, "Learning Video Preferences Using Visual Features and Closed Captions", IEEE MultiMedia, vol.16, no. 3, pp. 39-47, July-September 2009, doi:10.1109/MMUL.2009.51
1. J. Fan et al., "Semantic Video Classification and Feature Subset Selection Under Context and Concept Uncertainty," Proc. 4th ACM/IEEE-CS Joint Conf. Digital Libraries (JCDL), ACM Press, 2004, pp. 192-201.
2. D. Brezeale and D.J. Cook, "Automatic Video Classification: A Survey of the Literature," IEEE Trans. Systems, Man, and Cybernetics, Part C, vol. 38, no. 3, 2008, pp. 416-430.
3. L. Ardissono et al., "User Modeling and Recommendation Techniques for Personalized Electronic Program Guides," Personalized Digital Television: Targeting Programs to Individual Viewers, L. Ardissono, A. Kobsa, and M. Maybury eds., Kluwer, 2004, pp. 3-26.
4. J. Zimmerman et al., , "TV Personalization System: Design of a TV Show Recommender Engine and Interface," Personalized Digital Television: Targeting Programs to Individual Viewers, L. Ardissono, A. Kobsa, and M. Maybury eds., Kluwer, 2004, pp. 27-52.
5. F. Sebastiani, "Machine Learning in Automated Text Categorization," ACM Computing Surveys, vol. 34, no. 1, 2002, pp. 1-47.
6. Y.A., Aslandogan and C.T. Yu, "Techniques and Systems for Image and Video Retrieval," IEEE Trans. Knowledge and Data Engineering (TKDE), special issue on multimedia retrieval, vol. 11, no. 1, 1999, pp. 56-63.
7. G. Oldham, First Cut: Conversations with Film Editors, Univ. of Calif. Press, 1992.
8. N. Vasconcelos and A. Lippman, "Statistical Models of Video Structure for Content Analysis and Characterization," IEEE Trans. Image Processing, vol. 9, no. 1, 2000, pp. 3-19.
9. R. Jadon, S. Chaudhury, and K. Biswas, "A Fuzzy Theoretic Approach for Video Segmentation Using Syntactic Features," Pattern Recognition Letters, vol. 22, no. 13, 2001, pp. 1359-1369.
10. Z. Rasheed, Y. Sheikh, and M. Shah, "Semantic Film Preview Classification Using Low-Level Computable Features," Proc. 3rd Int'l Workshop Multimedia Data and Document Engineering, 2003; MDDE2003.pdf .
11. J.S. Walker, A Primer on Wavelets and their Scientific Applications, CRC Press, 1999.
12. S. Dasgupta, "Experiments with Random rojection," Proc. 16th Conf. Uncertainty in Artificial Intelligence, Morgan Kaufmann, 2000, pp. 143-151.
13. E. Bingham and H. Mannila, "Random Projection in Dimensionality Reduction: Applications to Image and Text Data," Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2001, pp. 245-250.
14. I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2000.
15. K.P. Bennett and C. Campbell, "Support Vector Machines: Hype or Hallelujah?" SIGKDD Explorations, vol. 2, no. 2, 2000, pp. 1-13.
16. C. Basu, H. Hirsh, and W. Cohen, "Recommendation as Classification: Using Social and Content-Based Information in Recommendation," Proc. Nat'l Conf. Artificial Intelligence, AAAI Press, 1998, pp. 714-720.
583 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool