A semantic similarity language model to improve automatic image annotation

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 1, Issue , 2010, Pages 197-203

  Gong, Tianxia ^a   Li, Shimiao ^a   Tan, Chew Lim ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; CROSS-MEDIA; CURRENT IMAGE; DATA SETS; DIGITAL IMAGE; IMAGE ANNOTATION; IMAGE JOINTS; IMAGE SEMANTICS; IMPROVED MODELS; LANGUAGE MODEL; MACHINE-LEARNING; ORIGINAL MODEL; PREPROCESS; PROBABILISTIC MODELS; RELEVANCE MODELS; SEMANTIC SIMILARITY; SPECIFIC LANGUAGES; TRANSLATION MODELS;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; IMAGE RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; PROBABILITY; SEMANTICS;

IMAGE ANALYSIS;

EID: 78751513487     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2010.35     Document Type: Conference Paper

References (19)

1. H. Muller, N. Michoux, D. Bandon, and A. Geissbuhler, "A review of content-based image retrieval systems in medical applications: Clinical benefits and future directions," International Journal of Medical Informatics, vol. 73, pp. 1-23, 2004.
2. O. Chapelle, P. Haffner, and V. Vapnik, "Support vector machines for histogram-based image classification," IEEE Transactions on Neural Networks, vol. 10, no. 5, pp. 1055-1064, September 1999.
3. J. Z.Wang and J. Li, "Learning-based linguistic indexing of pictures with 2-d mhmms," in Proceedings of the tenth ACM international conference on Multimedia, 2002, pp. 436-445.
4. G. Carneiro and N. Vasconcelos, "Formulating semantic image annotation as a supervised learning problem," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 163-168.
5. Y. Mori, H. Takahashi, and R. Oka, "Image-to-word transformation based on dividing and vector quantizing images with words," in Proceedings of First International Workshop on Multimedia Intelligent Storage and Retrieval Management, 1999, pp. 405-409.
6. P. Duygulu, K. Barnard, J. F. G. de Freitas, and D. A. Forsyth, "Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary," in Proceedings of European Conference on Computer Vision (ECCV), 2002, pp. 97-112.
7. D. M. Blei and M. I. Jordan, "Modeling annotated data," in Proceedings of ACM SIGIR International Conference on Research and Development in Informaion Retrieval, 2003, pp. 127-134.
8. F. Monay and D. Gatica-Perez, "Plsa-based image auto-annotation: constraining the latent space," in Proceedings of the 12th annual ACM international conference on Multimedia, 2004, pp. 348-351.
9. J. Jeon, V. Lavrenko, and R. Manmatha, "Automatic image annotation and retrieval using cross-media relevance models," in Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, 2003.
10. V. Lavrenko, R. Manmatha, and J. Jeon, "A model for learning the semantics of pictures," in Proceedings of Advances in Neural Information Processing Systems, 2003.
11. X. He and R. S. Zemel, "Learning hybrid models for image annotation with partially labeled data," in Proceedings of Advances in Neural Information Processing Systems (NIPS2008), 2008.
12. M. Kelm, C. Pal, and A. McCallum, "Combining generative and discriminative methods for pixel classification with multi-conditional learning," in Proceedings of the eighteenth conference of the International Association for Pattern Recognition (ICPR2006), vol. 2, 2006, pp. 828-832.
13. R. Jin, J. Y. Chai, and L. Si, "Effective automatic image annotation via a coherent language model and active learning," in Proceedings of the 12th annual ACM International Conference on Multimedia, 2004, pp. 892-899.
14. J. Liu, M. Lib, Q. Liu, H. Lu, and S. Ma, "Image annotation via graph learning," Pattern Recognition, vol. 42, no. 2, pp. 218-228, February 2009.
15. J. Mitchell and M. Lapata, "Language models based on semantic composition," in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009, pp. 430-439.
16. P. F. Brown, J. Cocke, S. A. D. Pietra, V. J. D. Pietra, F. Jelinek, J. D. Lafferty, R. L. Mercer, and P. S. Roossin, "A statistical approach to machine translation," Computer Linguistics, vol. 16, no. 2, pp. 79-85, 1990.
17. P. F. Brown, V. J. Pietra, S. A. D. Pietra, and R. L. Mercer, "The mathematics of statistical machine translation: Parameter estimation," Computational Linguistics, vol. 19, pp. 263-311, 1993.
18. V. Lavrenko and W. Croft, "Relevance-based language models," in Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, 2001.
19. J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888-905, Auguest 2000.