Video news classification for automatic content personalization: A genetic algorithm based approach

Proceedings of the 14th Brazilian Symposium on Multimedia and the Web - WebMedia 2008

Volumn , Issue , 2008, Pages 36-43

  Manzato, Marcelo Garcia ^a   Goularte, Rudinei ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Content personalization; Genetic algorithms; Latent semantic indexing; News classification

Indexed keywords

AUTOMATIC CONTENT; AUTOMATIC MATCHING; CLASSIFICATION TASKS; CLASSIFICATION TECHNIQUE; CONTENT PERSONALIZATION; CONTENT-BASED MULTIMEDIA; HIGH LEVEL SEMANTICS; LATENT SEMANTIC INDEXING; MULTIMEDIA CONTENTS; MULTIMEDIA STREAM; NEWS VIDEO; PERSONALIZATIONS; SEMANTIC INFORMATION;

GENETIC ALGORITHMS; INDEXING (OF INFORMATION); LSI CIRCUITS; SEMANTICS; TEXT PROCESSING;

MULTIMEDIA SERVICES;

EID: 77049090667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1666091.1666100     Document Type: Conference Paper

References (48)

1. I. Antonellis, C. Bouras, and V. Poulopoulos. Personalized News Categorization Through Scalable Text Classification. Lecture Notes in Computer Science, 3841/2006:391-401, 2006.
2. V. M. G. Barrios, F. Mödritscher, and C. Gütl. Personalization versus Adaptation? A User-centred Model Approach and its Application. In Proceedings of I-KNOW'05, pages 120-127, 2005.
3. S. Boll, J. Krosche, and A. Scherp. Personalized Mobile Multimedia meets Location-Based Services, 2004. URL: http://citeseer.ist.psu.edu/ boll04personalized.html. Access date: Jul/2008.
4. A. Cavallaro, O. Steiger, and T. Ebrahimi. Semantic video analysis for adaptive content delivery and automatic description. IEEE Transactions on Circuits and Systems for Video Technology, 15(10):1200-1209, 2005.
5. Z. Cernekova, I. Pitas, and C. Nikou. Information theory-based shot cut/fade detection and video summarization. IEEE Transactions on Circuits and Systems for Video Technology, 16(1):82-91, January 2006.
6. S. Deerwester, S. T. Dumais, T. Landauer, G. Furnas, and R. Harshman. Indexing by latent semantic analysis. Journal of the Society for Inf. Science, 41(6):391-407, 1990.
7. M. DirectShow. Viewing Closed Captions, 2008. URL: http://msdn.microsoft. com/en-us/library/ms788051(VS.85).aspx. Access date: Jul/2008.
8. H. Drucker, W. Donghui, and V. N. Vapnik. Support vector machines for spam categorization. IEEE Transactions on Neural Networks, 10(5):1048-1054, 1999.
9. I. O. for Standardisation. Short MPEG-1 description, 1996.
10. I. O. for Standardisation. Short MPEG-2 Description, 2000.
11. I. O. for Standardisation. MPEG-4 Overview, 2002.
12. X. Gao and X. Tang. Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing. IEEE Transactions on Circuits and Systems for Video Technology, 12(9):765-776, September 2002.
13. D. E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, 1989.
14. G. H. Golub and C. Reinsch. Singular value decomposition and least squares solutions . Numerische Mathematik, 14(5):403-420, 1970.
15. R. Goularte, M. G. C. Pimentel, and E. S. Moreira. Context-Aware Support in Structured Documents for Interactive-TV. Multimedia Systems, 11(4):367-382, 2006.
16. B. Günsel, A. M. Ferman, and A. M. Tekalp. Temporal video segmentation using unsupervised clustering and semantic object tracking. Journal of Electronic Imaging, 7(3):592-604, 1998.
17. A. Hauptmann, J. Yang, W. H. Lin, M. Christel, and M. Y. Chen. A Hybrid Approach to Improving Semantic Extraction of News Video. In Proceedings of the First IEEE International Conference on Semantic Computing, pages 79-86, 2007.
18. J. H. Holland. Adaptation in natural and artificial systems. MIT Press, Michigan, 1979.
19. T. Joachims. A Statistical Learning Model of Text Classification for Support Vector Machines. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 128-136, 2001.
20. Y. T. Kim and T. S. Chua. Retrieval of News Video using Video Sequence Matching. In Proceedings of the 11th International Multimedia Modelling Conference (MMM'05), 2005.
21. M. H. Kolekar and S. Sengupta. A Hierarchical Framework for Generic Sports Video Classification. Lecture Notes in Computer Science, 3852/2006:633-642, 2006.
22. I. Koprinska and S. Carrato. Detecting and classifying video shot boundaries in MPEG compressed sequences. pages 1729-1732, 1998.
23. Y. Li, S. Narayanan, and C. C. J. Kuo. Content-Based Movie Analysis and Indexing Based on AudioVisual Cues. IEEE Transactions on Circuits and Systems for Video Technology, 14(8):1073-1085, 2004.
24. W. Y. Lum and F. C. M. Lau. A Context-Aware Decision Engine for Context Adaptation. IEEE Pervasive Computing, 1(3):41-49, 2002.
25. Q. Lv, W. Josephson, Z. Wang, M. Chrikar, and K. Li. Ferret: A Toolkit for Content-Based Similarity Search of Feature-Rich Data. 2006.
26. A. A. Macedo, J. A. C. Guerrero, and M. G. C. Pimentel. A Bilingual Linking Service for the Web. Lecture Notes in Computer Science, 3772/2005:45-48, 2005.
27. J. Makhoul, F. Kubala, R. Schwartz, and R. Weischedel. Performance measures for information extraction. 1999.
28. M. G. Manzato and R. Goularte. Shot boundary detection based on intelligent systems. In Proceedings of XIII Brazilian Symposium on Multimedia and the Web (WebMedia'07), 2007.
29. J. Meng, Y. Juan, and S. F. Chang. Scene change detection in a MPEG compressed video sequence. volume 2417, pages 14-25, 1995.
30. V. Mezaris, I. Kompatsiaris, and M. G. Strintzis. Video Object Segmentation Using Bayes-Based Temporal Tracking and Trajectory-Based Region Merging. IEEE Transactions on Circuits and Systems for Video Technology, 14(6):782-795, 2004.
31. P. Mundur, Y. Rao, and Y. Yesha. Keyframe-based video summarization using Delaunay clustering. International Journal on Digital Libraries, 6(2):219-232, 2006.
32. J. Nam, Y. M. Ro, Y. Huh, and M. Kim. Visual Content Adaptation According to User Perception Characteristics. IEEE Transactions on Multimedia, 7(3):435-445, 2005.
33. N. Nitta and N. Babaguchi. Automatic Story Segmentation of Closed-Caption Text for Semantic Content Analysis of Broadcasted Sports Video. In Proceedings of the International Workshop on Multimedia Information Systems, pages 110-116, 2002.
34. J. R. OHM. Advances in Scalable Video Coding. IEEE, 93(1):42-56, 2005.
35. T. N. Pappas. An adaptive clustering algorithm for image segmentation. IEEE Transactions on Singal Processing, 40:901-914, 1992.
36. G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5):513-523, 1988.
37. A. F. Smeaton. Techniques Used and Open Challenges to the Analysis, Indexing and Retrieval of Digital Video. Information Systems, 2007.
38. C. G. M. Snoek and M. Worring. Multimedia Event-Based Video Indexing Using Time Intervals. IEEE Transactions on Multimedia, 7(4):638-647, 2005.
39. S. Sun, D. R. Haynor, and Y. Kim. Semiautomatic Video Object Segmentation Using VSnakes. IEEE Transactions on Circuits and Systems for Video Technology, 13(1):75-82, 2003.
40. Y. P. Tan, D. D. Saur, S. R. Kulkarni, and P. J. Ramadge. Rapid Estimation of Camera Motion from Compressed Video with Application to Video Annotation. IEEE Transactions on Circuits and Systems for Video Technology, 10(1):133-146, 2000.
41. B. T. Truong, C. Dorai, and S. Venkatesh. New enhancements to cut, fade, and dissolve detection processes in video segmentation. In Proceedings of the eighth ACM international conference on Multimedia, pages 219-227. Marina del Rey, California, US, 2000.
42. Z. Wang, M. D. Hoffman, P. R. Cook, and K. Li. VFerret: Content-Based Similarity Search Tool for Continuous Archived Video. pages 19-25, 2006.
43. J. XIN, C. W. LIN, and M. T. SUN. Digital Video Transcoding. IEEE, 93(1):84-97, 2005.
44. C. Xu, J. Wang, K. Wan, Y. Li, and L. Duan. Live sports event detection based on broadcast video and web-casting text. In Proceedings of the 14th Annual ACM International Conference on Multimedia, pages 221-230, 2006.
45. J. Y. Yeh, H. R. Ke, W. P. Yang, and I. H. Meng. Text summarization using a trainable summarizer and latent semantic analysis. Information Processing and Management: an International Journal, 41(1):75-95, 2005.
46. H. Yi, D. Rajan, and L. T. Chia. Semantic Video Indexing and Summarization Using Subtitles. Lecture Notes in Computer Science, 3331/2004:634-641, 2004.
47. S. Zelikovitz and H. Hirsh. Using LSI for Text Classification in the Presence of Background Text. In Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, pages 113-118, 2001.
48. D. Zhang and W. S. Lee. Question classification using support vector machines. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 26-32, 2003.