Hierarchical video clustering

2004 IEEE 6th Workshop on Multimedia Signal Processing

Volumn , Issue , 2004, Pages 423-426

  Petrovic, Nemanja ^a   Jojic, Nebojsa ^b   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATASETS; EM ALGORITHMS; SEMANTIC GAP; VIDEO CLUSTERING;

BROADCASTING; DATA PROCESSING; FAST FOURIER TRANSFORMS; GAUSSIAN NOISE (ELECTRONIC); HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; ROBUSTNESS (CONTROL SYSTEMS); SEMANTICS; STATISTICAL METHODS; VIDEO SIGNAL PROCESSING;

IMAGE ANALYSIS;

EID: 13344260624     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. N. Petrovic and N. Jojic and B. Frey and T. Huang, Real-time on-line learning of transformed hidden Markov models from video, AI&STATS03
2. D. Mumford, Pattern theory: a unifying perspective, In Perception as Bayesian Inference, Cambridge University Press, 1996
3. V. Vapnik, Statistical Learning Theory, John Wiley & Sons, 1998
4. S. L. Lauritzen, Graphical Models, Oxford University Press, 1996
5. M. Naphade and T. Huang, Discovering recurring events in video using unsupervised methods, ICIP, 2002
6. P. Xu et al., Algorithms and Systems for Segmentation and Structure Analysis in Soccer Video, ICME, 2001
7. V. Pavlovic, J. M. Rehg, T.-J. Cham and K. Murphy, A Dynamic Bayesian Network Approach to Figure Tracking Using Learned Dynamic Models, Int. Conf. Comp. Vis., 1999
8. M. Brand, N. Oliver and A. Pentland, Coupled hidden Markov models for complex action recognition, CVPR, 1997
9. N. Vasconcelos and A. Lippman, Bayesian modeling of video editing and structure: semantic features for video summarization and browsing, ICIP, 1998
10. N. Petrovic, N. Jojic and T. S. Huang, Scene generative models for adaptive video fast forward, ICIP, 2003
11. P. Anandan, M. Irani, M. Kumar and J. Bergen, Video as an Image Data Source: Efficient Representations and Applications, ICIP, 1995
12. A. Aner and J. R. Kender, Video Summaries through Mosaic-Based Shot and Scene Clustering, ECCV, 2002