A detection-based approach to broadcast news video story segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 1957-1960

  Ma, Chengyuan ^a   Byun, Byungki ^a   Kim, Ilseo ^a   Lee, Chin Hui ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Discriminative fusion; Event detection

Indexed keywords

AUDIO TRACK; AUTOMATIC SPEECH RECOGNITION SYSTEM; BROADCAST NEWS VIDEO; COMPLEX SYSTEMS; DATA SETS; DETECTOR DESIGN; DISCRIMINATIVE FUSION; EVENT DETECTION; EVIDENCE FUSION; EXPERIMENTAL EVALUATION; FIGURE OF MERIT; LEARNING APPROACH; MULTIMEDIA SIGNALS; PERFORMANCE METRICS; SYSTEM EVALUATION; TRECVID; VIDEO APPLICATIONS; VIDEO STORY SEGMENTATION;

ACOUSTICS; AUDIO SYSTEMS; CHARACTER RECOGNITION; DETECTORS; IMAGE PROCESSING; MULTIMEDIA SYSTEMS; ONTOLOGY; SIGNAL DETECTION; SIGNAL PROCESSING;

SPEECH RECOGNITION;

EID: 70349202161     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4959994     Document Type: Conference Paper

References (22)

1. A. Hauptmann and M. Witbrock, "Story segmentation and detection of commercials in broadcast news video," in Proc. of Advances in Digital Libraries, 1998.
2. L. Chaisorn, T.-S. Chua, C.-H. Lee, and Q. Tian, "A hierarchical approach to story segmentation of large broadcast new video corpus," in Proc. of ICME, 2004.
3. T.-S. Chua, S.-F. Chang, L. Chaisorn, and W. Hsu, "Story boundary detection in large broadcast news video archives: techniques, experience and trends," in Proc. of ACMMM, 2004.
4. A. Jacobs, G. T. Ioannidis, S. Christodoulakis, N. Moumoutzis, S. Georgoulakis, and Y. Papachristoudis, "Automatic, contextof-capture-based categorization, structure detection and segmentation of news telecasts," in DELOS Conference, 2007.
5. S. W. Zucker, "Computer vision and human perception: An essay on the discovery of constraints," in Proc. of IJCAI, 1981.
6. J. B. Allen, "How do humans process and recognize speech?," IEEE Trans. SAP, vol. 2, pp. 567-577, 1994.
7. C. Ma, Y. Tsao, and C.-H. Lee, "A study on detection based automatic speech recognition," in Proc. of InterSpeech, 2006.
8. W. Hsu, L. S. Kennedy, S.-F. Chang, M. Franz, and J. R. Smith, "Columbia-IBM news video story segmentation in TRECVID 2004," Tech. Rep., Columbia University, 2005.
9. W. Hsu and S.-F. Chang, "A statistical framework for fusing mid-level perceptual features in news story segmentation," in Proc. of ICME, 2003.
10. S. Gao,W.Wu, C.-H. Lee, and T.-S. Chua, "A MFoM learning approach to robust multiclass multi-label text categorization," in Proc. of ICML, 2004.
11. S. M. Kay, Fundamentals of Statistical Signal Processing. Volume II: Detection Theory, Prentice Hall, 1998.
12. C. Ma and C.-H. Lee, "Unsupervised anchor shot detection using multi-modal spectral clustering," in Proc. of ICASSP, 2008.
13. A. Yanagawa, W. Hsu, and S.-F. Chang, "Anchor shot detection in TRECVID-2005 broadcast news videos," Tech. Rep., Columbia University, 2005.
14. L. Kennedy and A. Hauptmann, "LSCOM lexicon definition and annotation version 1.0," Tech. Rep., Columbia University, 2006.
15. B. Byun, C. Ma, and C.-H. Lee, "An experimental study on discriminative concept classifier combination for TRECVID highlevel feature extraction," in Proc. of ICIP, 2008.
16. S. Gao,W.Wu, C.-H. Lee, and T.-S. Chua, "A maximal figureof-merit (MFoM)-learning approach to robust classifier design for text categorization," ACM Trans. Inf. Syst., vol. 24, no. 2, pp. 190-218, 2006.
17. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," Journal of the Royal Statistical Society, vol. 39, pp. 1-38, 1977.
18. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, Wiley-Interscience, 2000.
19. A. F. Smeaton, W. Kraaij, and P. Over, "TRECVID 2003 - an overview," Tech. Rep., National Institute of Standards and Technology, 2004.
20. G. Quenot, C. Petersohn, P. Over, and K. Walker, TRECVID 2003 Keyframes & Transcripts, LDC, 2007.
21. P. Mermelstein, "Distance measures for speech recognition, psychological and instrumental," Pattern Recognition and Artificial Intelligence, pp. 374-388, 1976.
22. C.-C. Chang and C.-J. Lin, LIBSVM: a library for support vector machines, 2001.