An automatic video classification system based on a combination of HMM and video summarization

International Journal of Smart Engineering System Design

Volumn 5, Issue 1, 2003, Pages 33-45

  Lu, Cheng ^a   Drew, Mark S ^a   Au, James ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Feature identification and classification; Identification systems; Image processing; Markov chain model; Maximum likelihood classifier; Video classification

Indexed keywords

DIGITAL LIBRARIES; FEATURE EXTRACTION; MARKOV PROCESSES; VIDEO SIGNAL PROCESSING;

VIDEO SEQUENCES;

IMAGE PROCESSING;

EID: 0037279381     PISSN: 10255818     EISSN: None     Source Type: Journal    
DOI: 10.1080/10255810305039     Document Type: Article

References (11)

1. Drew, M.S., and J. Au. 2000. Video keyframe production by efficient clustering of compressed chromaticity signatures. Proceedings of the Eight ACM Multimedia Conference, 365-368.
2. Drew, M.S., J. Wei, and Z.N. Li. 1999. Illumination-invariant image retrieval and video segmentation. Pattern Recognition 32:1369-1388.
3. Finlayson, G.D., P.M. Hubel, and S. Hordley. 1997. Colour by correlation, Fifth Color Image Conference, 6-11.
4. Hauptmannn, A.G., and M.J. Witbrock. 1998. Story segmentation and detection of commercials in broadcast news video. Proceedings of Advances in Digital Libraries Conference, 168-179.
5. Huang, J., Z. Liu, and Y. Wang. 2000. Joint Scene Segmentation and Classification based on Hidden Markov Model. IEEE Int. Conf. On Multimedia and Expo (ICME2000), New York, NY, August 2000, Vol. 3, 1551-1554.
6. Huang, J., Z. Liu, Y. Wang, Y. Chen, and E.K. Wong. 1999. Integration of multimodal features for video classification based on HMM. 1999 IEEE Third Workshop on Multimedia Signal Processing Copenhagen, Denmark, 53-58.
7. Lu, C., M.S. Drew, and J. Au. 2001. Classification of Summarized Video by using Hidden Markov Models on Compressed Chromaticity Signatures, ANNIE'01: Artificial Neural Networks In Engineering, St. Louis, Missouri, November 4th-7th, 2001, 645-650.
8. Ng, R., and J. Han. 1994. Efficient and effective clustering method for spatial data mining. Proceeding of 1994 Int'l Conf. on Very Large Data Bases, Santiago, Chile, 144-155.
9. Rabiner, L.R., and B.H. Juang. 1986. A tutorial on Hidden Markov Models. IEEE ASSP Magazine 3(1):4-15.
10. Wei, G., L. Agnihotri, and N. Dimitrova. 2000. TV program classification based on face and text Processing. IEEE Multimedia and Expo 2000, New York.
11. Zhou, W.-S., A. Vellaikal, and C.C.J. Kuo. 2000. Rule-based video classification system for basketball video indexing. Proceedings on ACM multimedia 2000 workshops, 213-216.