Bayesian learning of hierarchical multinomial mixture models of concepts for automatic image annotation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4071 LNCS, Issue , 2006, Pages 102-112

  Shi, Rui ^a   Chua, Tat Seng ^a   Lee, Chin Hui ^b   Gao, Sheng ^c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS; IMAGE RETRIEVAL; LEARNING SYSTEMS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION;

AUTOMATIC IMAGE ANNOTATION (AIA); BAYESIAN LEARNING FRAMEWORK; HIERARCHICAL KNOWLEDGE; LARGE-SCALE MODELS;

IMAGE PROCESSING;

EID: 33746589183     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11788034_11     Document Type: Conference Paper

References (14)

1. K. Barnard, P. Duygulu and D. Forsyth, "Clustering Art", In Proceedings of CVPR, 2001.
2. G. Carneiro and N. Vasconcelos, "Formulating Semantic Image Annotation as a Supervised Learning Problem", In Proceedings of CVPR, 2005.
3. P. Duyulu, K. Barnard, N. de Freitas, and D. Forsyth, "Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary", In Proc. of ECCV, 2002.
4. J. P. Fan, H. Z. Luo and Y. L. Gao, "Learning the Semantics of Images by Using Unlabeled Samples", In Proceedings of CVPR, 2005.
5. S. Gao, D.-H. Wang and C.-H. Lee, "Automatic Image Annotation through Multi-Topic Text Categorization", In Proceedings of. ICASSP, Toulouse, France, May 2006.
6. Q. Huo, C. Chan and C.-H. Lee, "Bayesian Adaptive Learning of the Parameters of Hidden Markov Model for Speech Recognition", IEEE Trans. Speech Audio Processing, vol. 3, pp. 334-345, Sept. 1995.
7. J. Jeon, V. Lavrenko, and R. Manmatha, "Automatic Image Annotation and Retrieval Using Cross-Media Relevance Models", In Proceedings of the 26th ACM SIGIR, 2003.
8. V. Lavrenko, R. Manmatha and J. Jeon, "A Model for Learning the Semantics of Pictures", In Proceedings of the 16th Conference on NIPS, 2003.
9. C.-H. Lee and Q. Huo, "On Adaptive Decision Rules and Decision Parameter Adaptation for Automatic Speech Recognition", In Proceedings of the IEEE, vol. 88, no. 8, Aug, 2000.
10. T. Minka, http://www.stat.cmu.edu/~minka/papers/dirichlet, "Estimating a Dirichlet Distribution", 2003.
11. G. A. Miller, R. Beckwith, C. Fellbaum, D. Gross and K. J. Miller, "Introduction to WordNet: an on-line lexical database", Intl. Jour. of Lexicography, vol. 3, pp. 235-244, 1990.
12. Y. Mori, H. Takahashi, and R. Oka, "Image-to-Word Transformation Based on Dividing and Vector Quantizing Images with Words", In Proceedings of MISRM, 1999.
13. J. Novovicova and A. Malik, "Application of Multinomial Mixture Model to Text Classification", Pattern Recognition and Image Analysis, LNCS 2652, pp. 646-653, 2003.
14. M. Srikanth, J. Varner, M. Bowden and D. Moldovan, "Exploiting Ontologies for Automatic Image Annotation", In Proceedings of the 28 th ACM SIGIR, 2005.