Modeling latent aspects for automatic image annotation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 1857-1860

  Li, Zhixin ^a,b   Shi, Zhiping ^a   Li, Zhiqing ^a,b   Shi, Zhongzhi ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Adaptive asymmetric learning; Aspect model; Automatic image annotation; Image retrieval; PLSA

Indexed keywords

IMAGE ANALYSIS; IMAGING SYSTEMS; SEMANTICS;

ADAPTIVE LEARNING; ASPECT MODEL; AUTOMATIC IMAGE ANNOTATION; BAG-OF-VISUAL-WORDS; DATA SETS; FEATURE DISTRIBUTION; MODEL TRAINING; PLSA MODEL; PROBABILISTIC LATENT SEMANTIC ANALYSIS; SEMANTIC ANNOTATIONS; SEMANTIC INFORMATION;

IMAGE RETRIEVAL;

EID: 77951957966     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5413595     Document Type: Conference Paper

References (16)

1. K. Barnard, P. Duygulu, D.A. Forsyth, et al., "Matching words and pictures," JMLR, 3: 1107-1135, 2003.
2. D.M. Blei, and M.I. Jordan, "Modeling annotated data," In Proc. ACM SIGIR, pp. 127-134, 2003
3. D.M. Blei, A.Y. Ng, and M.I. Jordan, "Latent Dirichlet allocation," JMLR, 3: 993-1022, 2003.
4. G. Carneiro, A.B. Chan, P.J. Moreno, et al., "Supervised learning of semantic classes for image annotation and retrieval," IEEE Trans. PAMI, 29(3): 394-410, 2007.
5. E. Chang, K. Goh, G. Sychay, et al., "CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines," IEEE Trans. CSVT, 13(1): 26-38, 2003.
6. R. Datta, D. Joshi, J. Li, and J.Z. Wang. Image retrieval: ideas, influences, and trends of the new age. ACM Computing Surveys, 40(2): article 5, pp. 1-60, 2008.
7. P. Duygulu, K. Barnard, N. de Freitas, and D.Forsyth, "Object recognition as machine translation: learning a lexicon for a fixed image vocabulary," In Proc. ECCV, pp. 97-112, 2002.
8. S.L. Feng, R. Manmatha, and V. Lavrenko, "Multiple Bernoulli relevance models for image and video annotation," In Proc. IEEE CVPR, pp. 1002-1009, 2004.
9. T. Hoffman, "Unsupervised learning by probabilistic latent semantic analysis," Machine Learning, 42(1-2):177-196, 2001.
10. J. Jeon, V. Lavrenko, and R. Manmatha, "Automatic image annotation and retrieval using cross-media relevance models," In Proc. ACM SIGIR, pp. 119-126, 2003.
11. V. Lavrenko, R. Manmatha, and J. Jeon, "A model for learning the semantics of pictures," In Proc. NIPS 16, 2003.
12. J. Li, and J.Z. Wang, "Automatic linguistic indexing of pictures by a statistical modeling approach," IEEE Trans. PAMI, 25(9): 1075-1088, 2003.
13. D.G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2): 91-110, 2004.
14. F. Monay, and D. Gatica-Perez, "Modeling semantic aspects for cross-media image indexing," IEEE Trans. PAMI, 29(10): 1802-1817, 2007.
15. Y. Mori, H. Takahashi, and R. Oka, "Image-to-word transformation based on dividing and vector quantizing images with words," In Proc. 1st Workshop on MISRM, 1999.
16. A.W.M. Smeulders, M. Worring, S. Santini, et al., "Content-based image retrieval at the end of the early years," IEEE Trans. PAMI, 22(12): 1349-1380, 2000.