A cross-media model for automatic image annotation

ICMR 2014 - Proceedings of the ACM International Conference on Multimedia Retrieval 2014

Volumn , Issue , 2014, Pages 73-80

  Ballan, Lamberto ^a   Uricchio, Tiberio ^a   Seidenari, Lorenzo ^a   Del Bimbo, Alberto ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Cross media analysis; Image annotation; Multi label; Nearest neighbor voting; Tag relevance

Indexed keywords

DATA PROCESSING; IMAGE ANALYSIS;

CROSS-MEDIA; IMAGE ANNOTATION; MULTI-LABEL; NEAREST-NEIGHBORS; TAG RELEVANCE;

IMAGE RETRIEVAL;

EID: 84899715386     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2578726.2578728     Document Type: Conference Paper

References (29)

1. K. Barnard, P. Duygulu, D. Forsyth, N. De Freitas, D. M. Blei, and M. I. Jordan. Matching words and pictures. JMLR, 3:1107-1135, 2003.
2. G. Carneiro, A. B. Chan, P. J. Moreno, and N. Vasconcelos. Supervised learning of semantic classes for image annotation and retrieval. IEEE TPAMI, 29(3):394-410, 2007.
3. 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 Proc. of ECCV, 2002.
4. S. L. Feng, R. Manmatha, and V. Lavrenko. Multiple bernoulli relevance models for image and video annotation. In Proc. of CVPR, 2004.
5. H. Fu, Q. Zhang, and G. Qiu. Random forest for image annotation. In Proc. of ECCV, 2012.
6. Y. Gong, Q. Ke, M. Isard, and S. Lazebnik. A multi-view embedding space for internet images, tags, and their semantics. IJCV, in press, 2013.
7. D. Grangier and S. Bengio. A discriminative kernelbased approach to rank images from text queries. IEEE TPAMI, 30(8):1371-1384, 2008.
8. M. Grubinger, P. Clough, H. Muller, and T. Deselaers. The IAPR TC-12 benchmark: a new evaluation resource for visual information systems. In Proc. of LRECW, 2006.
9. M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid. Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation. In Proc. of ICCV, 2009.
10. D. R. Hardoon and J. Shawe-Taylor. KCCA for different level precision in content-based image retrieval. In Proc. of IEEE CBMI, 2003.
11. D. R. Hardoon, S. Szedmak, and J. Shawe-Taylor. Canonical correlation analysis: An overview with application to learning methods. Neural Computation, 16(12):2639-2664, 2004.
12. M. J. Huiskes and M. S. Lew. The MIR ickr retrieval evaluation. In Proc. of ACM MIR, 2008.
13. S. J. Hwang and K. Grauman. Learning the relative importance of objects from tagged images for retrieval and cross-modal search. IJCV, 100(2):134-153, 2012.
14. V. Lavrenko, R. Manmatha, and J. Jeon. A model for learning the semantics of pictures. In Proc. of NIPS, 2003.
15. L.-J. Li and L. Fei-Fei. OPTIMOL: Automatic online picture collection via incremental model learning. IJCV, 88(2):147-168, 2010.
16. X. Li, C. G. M. Snoek, and M. Worring. Learning social tag relevance by neighbor voting. IEEE TMM, 11(7):1310-1322, 2009.
17. J. Liu, M. Li, Q. Liu, H. Lu, and S. Ma. Image annotation via graph learning. Pattern Recognition, 42(2):218-228, 2009.
18. A. Makadia, V. Pavlovic, and S. Kumar. A new baseline for image annotation. In Proc. of ECCV, 2008.
19. D. Metzler and R. Manmatha. An inference network approach to image retrieval. In Proc. of ACM CIVR, 2004.
20. F. Monay and D. Gatica-Perez. PLSA-based image auto-annotation: Constraining the latent space. In Proc. of ACM Multimedia, 2004.
21. N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. R. G. Lanckriet, R. Levy, and N. Vasconcelos. A new approach to cross-modal multimedia retrieval. In Proc. of ACM Multimedia, 2010.
22. J. B. Tenenbaum, V. De Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.
23. T. Uricchio, L. Ballan, M. Bertini, and A. Del Bimbo. An evaluation of nearest-neighbor methods for tag refinement. In Proc. of IEEE ICME, 2013.
24. J. Verbeek, M. Guillaumin, T. Mensink, and C. Schmid. Image annotation with tagprop on the mirickr set. In Proc. of ACM MIR, 2010.
25. Y. Verma and C. V. Jawahar. Image annotation using metric learning in semantic neighbourhoods. In Proc. of ECCV, 2012.
26. Y. Verma and C. V. Jawahar. Exploring svm for image annotation in presence of confusing labels. In Proc. of BMVC, 2013.
27. A. Yavlinsky, E. Schofield, and S. Rüger. Automated image annotation using global features and robust nonparametric density estimation. In Proc. of ACM CIVR, 2005.
28. S. Zhang, J. Huang, Y. Huang, Y. Yu, H. Li, and D. N. Metexas. Automatic image annotation using group sparsity. In Proc. of CVPR, 2010.
29. A. Znaidia, H. Le Borgne, and C. Hudelot. Tag completion based on belief theory and neighbor voting. In Proc. of ACM ICMR, 2013.