Automatic video annotation using multimodal Dirichlet process mixture model

Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC

Volumn , Issue , 2008, Pages 1366-1371

  Velivelli, Atulya ^a   Huang, Thomas S ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; INDUSTRIAL ECONOMICS; INFORMATION RETRIEVAL SYSTEMS; LEARNING ALGORITHMS; MARKOV PROCESSES; TRELLIS CODES; VIDEO RECORDING; VIDEO SIGNAL PROCESSING;

AUDIO TRACKING; AUTOMATIC VIDEO ANNOTATION; BASELINE MODELS; DIRICHLET PROCESS; GAUSSIAN; GIBBS SAMPLING; INTERNATIONAL CONFERENCES; MARKOV CHAINS; MIXTURE COMPONENTS; MIXTURE MODEL; MULTI-MODAL; MULTI-MODAL DATA; MULTINOMIAL DISTRIBUTIONS; PREDICTIVE MODELING; SPEECH TRANSCRIPTS; TEXT-BASED RETRIEVAL; VIDEO DATA; VIDEO SHOTS;

MIXTURES;

EID: 49249133750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2008.4525431     Document Type: Conference Paper

References (11)

1. D. M. Blei and M. I. Jordan. Modeling annotated data. In Proceedings of ACM SIGIR 03 conference on Research and development in informaion retrieval, pages 127-134, New York, NY, USA, 2003.
2. P. Duygulu, K. Barnard, N. de Freitas, and D. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Seventh European Conference on Computer Vision, pages 97-112, 2002.
3. S. Feng, R. Manmatha, and V. Lavrenko. Multiple bernoulli relevance models for image and video annotation. In in the Proceedings of IEEE Computer vision and Pattern Recognition, volume II, pages 1002-1009, 2004.
4. T. Ferguson. A bayesian analysis of some nonparametric problems. The Annals of Statistics, 1:209-230, 1973.
5. H. Ishwaran and L. James. Approximate dirichlet process computing in finite normal mixtures: smoothing and prior information. 11:508-532, 2002.
6. H. Ishwaran and L. F. James, Gibbs sampling methods for stick-breaking priors. Journal of American Statistical Association, 96:161-173, 2001.
7. M. Miyahara and Y. Yoshida. Mathematical transform (r, g, b) color data to munsell (h, v, c) color data. SPIE Visual-Communications and Image Processing, 1001 (118):650-657, 1988.
8. J. Sethuraman. A constructive definition of dirichlet priors. Statistica Sinica, 4:639-650, 1994.
9. E. B. Sudderth, A. Torralba, W. T. Freeman, and A. S. Willsky. Describing visual scenes using transformed dirichlet processes. In in proceedings of Advances in Neural Information Processing Systems, 2005.
10. Y. Teh, M. Jordan, M. Beal, and D. Blei. Hierarchical dirichlet processes. Journal of American Statistical Association, 101(476): 1566-1581, 2006.
11. J. Zhang, A. Kankanhalli, and S. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, 1(1):10-28, 1993.