Learning to reduce the semantic gap in web image retrieval and annotation

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 355-362

  Wang, Changhu ^a   Zhang, Lei ^b   Zhang, Hong Jiang ^c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b MICROSOFT RESEARCH ASIA   (China)

^c Microsoft Adv Tech Center   (China)

Author keywords

Content based image retrieval; Ranking based distance metric learning; Search based image annotation

Indexed keywords

CONTENT-BASED IMAGE RETRIEVAL; CONTENT-BASED IMAGE RETRIEVALS; DISTANCE MEASURES; DISTANCE METRIC LEARNINGS; IMAGE ANNOTATIONS; IMAGE FEATURES; LATENT DIRICHLET ALLOCATIONS; LEARNING FRAMEWORKS; LEAVE ONE OUTS; QUERY IMAGES; RANKING-BASED DISTANCE METRIC LEARNING; RETRIEVAL EFFICIENCIES; RETRIEVAL PERFORMANCES; SEARCH-BASED IMAGE ANNOTATION; SEMANTIC CONCEPTS; SEMANTIC GAPS; SEMANTIC SIMILARITIES; SIMILARITY MEASURES; TEXT MODELS; TEXTUAL INFORMATIONS; TRAINING DATUMS; VISUAL SPACES; WEB IMAGE RETRIEVALS; WEB IMAGES;

CONTENT BASED RETRIEVAL; EDUCATION; GALLIUM ALLOYS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; RESEARCH AND DEVELOPMENT MANAGEMENT; SEMANTICS;

IMAGE RETRIEVAL;

EID: 57349150196     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390396     Document Type: Conference Paper

References (18)

1. Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D. M., and Jordan, M. I. Matching words and pictures. J. Mach. Learn. Res. 3 (Mar. 2003).
2. Blei, D. M. and Jordan, M. I. 2003. Modeling annotated data. In SIGIR, 2003.
3. Blei, D. M., Ng, A. Y., and Jordan, M. I. 2003. Latent dirichlet allocation. J. Mach. Learn. Res. 3 (Mar. 2003).
4. Carneiro, G., et al. Supervised learning of semantic classes for image annotation and retrieval. IEEE Trans. PAMI, 2007.
5. Dai, J., Yan, S., Tang, X. and Kwok, J. T., Locally adaptive classification piloted by uncertainty. In ICML, 2006.
6. Deerwester, S., et al. Indexing by latent semantic analysis. Journal of the American Society of Information Science, 1990
7. Feng, S. L., Manmatha, R., and Lavrenko, V. Multiple bernoulli relevance models for image and video annotation. In CVPR, 2004.
8. Ferhatosmanoglu, H., Tuncel, E., and etc. Approximate neighbor searching in multimedia databases. In ICDE, 2001.
9. Goldberger, J., Roweis, S., Hinton, G., and Salakhutdinov, R. Neighbourhood components analysis. In NIPS, 2005.
10. Hofmann, T. Probabilistic latent semantic indexing. In SIGIR, 1999.
11. Lavrenko, V., Manmatha, R., and Jeon, J. "A model for learning the semantics of pictures," In NIPS, 2003.
12. Lew, M. S., et al. Content-based multimedia information retrieval: State of the art and challenges. ACM Trans. Multimedia Comput. Commun. Appl., 2006.
13. Muller, H., et al. Learning from user behavior in image retrieval: Application of market basket analysis. IJCV, 2004.
14. Smeulders, A. W. M., et al. Content-based image retrieval at the end of the early years. IEEE Trans. on PAMI, 2000.
15. Torresani, L. and Lee, K. Large margin component analysis. In NIPS, 2007.
16. Wang, C., Jing, F., and et al. Scalable search-based image annotation of personal images. In MIR, 2006.
17. Wang, X. J., Zhang, L., Jing, F., and Ma, W. Y. AnnoSearch: image auto-annotation by search. In CVPR, 2006.
18. Yang, L. and Jin, R. (2006). Distance metric learning: A comprehensive survey.