Web image annotation via subspace-sparsity collaborated feature selection

IEEE Transactions on Multimedia

Volumn 14, Issue 4 PART1, 2012, Pages 1021-1030

  Ma, Zhigang ^a   Nie, Feiping ^b   Yang, Yi ^c   Uijlings, Jasper R R ^a   Sebe, Nicu ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b The University of Texas at Arlington   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Image annotation; shared subspace uncovering; sparse feature selection; supervised learning

Indexed keywords

ANNOTATION METHODS; ANNOTATION PERFORMANCE; AUTOMATIC IMAGE ANNOTATION; COMPACT REPRESENTATION; DAILY LIVES; DATA POINTS; FEATURE SELECTION METHODS; IMAGE ANNOTATION; IMAGE FEATURES; IMAGE MANAGEMENT; ITERATIVE ALGORITHM; LABEL INFORMATION; LARGE IMAGE DATABASE; MULTI-LABEL; MULTIMEDIA DATA; OBJECTIVE FUNCTIONS; SEMANTIC CONCEPT; SHARED SUBSPACE UNCOVERING; STORAGE TECHNOLOGY; WEB IMAGES;

ALGORITHMS; IMAGE ANALYSIS; SEMANTICS; SUPERVISED LEARNING;

IMAGE RETRIEVAL;

EID: 84864065280     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2012.2187179     Document Type: Article

References (32)

1. A. Ulges, M. Worring, and T. Breuel, "Learning visual contexts for image annotation from flickr groups," IEEE Trans. Multimedia, vol. 13, no. 2, pp. 330-341, Apr. 2009.
2. X. Wang, L. Zhang, X. Li, and W. Ma, "Annotating images by mining image search results," IEEE Trans. Pattern Anal.Mach. Intell., vol. 30, no. 11, pp. 1919-1932, Nov. 2008.
3. B. Russell, A. Torralba, K. Murphy, and W. Freeman, "LabelMe: A database and web-based tool for image annotation," Int. J. Comput. Vis., vol. 77, no. 1-3, pp. 157-173, 2008.
4. Y. Lu and Q. Tian, "Discriminant subspace analysis: An adaptive approach for image classification," IEEE Trans. Multimedia, vol. 11, no. 7, pp. 1289-1300, Nov. 2009.
5. Y. Yang, Y. Zhuang, F. Wu, and Y. Pan, "Harmonizing hierarchical manifolds for multimedia document semantics understanding and crossmedia retrieval," IEEE Trans. Multimedia, vol. 10, no. 3, pp. 437-446, Apr. 2008.
6. Y. Zhuang, Y. Yang, and F. Wu, "Mining semantic correlation of heterogeneous multimedia data for cross-media retrieval," IEEE Trans. Multimedia, vol. 10, no. 2, pp. 221-229, Feb. 2008.
7. Z. Ma, Y. Yang, F. Nie, J. Uijlings, and N. Sebe, "Exploiting the entire feature space with sparsity for automatic image annotation," in Proc. ACM MM, 2011, pp. 283-292.
8. Y. Yang, F. Nie, D. Xu, J. Luo, Y. Zhuang, and Y. Pan, "A multimedia retrieval framework based on semi-supervised ranking and relevance feedback," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 4, pp. 723-742, Apr. 2011.
9. Y.Yang, Y. Zhuang,D.Xu, Y. Pan, D. Tao, and S.Maybank, "Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning," in Proc. ACM MM, 2009, pp. 311-320.
10. Y. Gao, J. Fan, X. Xue, and R. Jain, "Automatic image annotation by incorporating feature hierarchy and boosting to scale up SVM classifiers," in Proc. ACM MM, 2006, pp. 901-910.
11. F. Wu, Y. Yuan, and Y. Zhuang, "Heterogeneous feature selection by group lasso with logistic regression," in Proc. ACM MM, 2010, pp. 983-986.
12. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed. New York: Wiley-Interscience, 2001.
13. F. Nie, H. Huang, X. Cai, and C. Ding, "Efficient and robust feature selection via joint L21-norms minimization," in Proc. NIPS, 2010, pp. 1813-1821.
14. G. Cawley, N. Talbot, and M. Girolami, "Sparse multinomial logistic regression via bayesian L1 regularisation," in Proc. NIPS, 2006, pp. 209-216.
15. S. Ji, L. Tang, S. Yu, and J. Ye, "A shared-subspace learning framework for multi-label classification," ACM Trans. Knowl. Discovery Data, vol. 2, no. 1, pp. 8(1)-8(29), 2010.
16. Y. Yang, H. Shen, Z. Ma, Z. Huang, and X. Zhou, "L21-norm regularized discriminative feature selection for unsupervised learning," in Proc. IJCAI, 2011, pp. 1589-1594.
17. R. Ando and T. Zhang, "A framework for learning predictive structures from multiple tasks and unlabeled data," J. Mach. Learning Res., vol. 6, no. 1817-1853, 2005.
18. J. Amores, N. Sebe, and P. Radeva, "Context-based object-class recognition and retrieval by generalized correlograms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 10, pp. 1818-1833, Oct. 2007.
19. M. Law, M. Figueiredo, and A. Jain, "Simultaneous feature selection and clustering using mixture models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 9, pp. 1154-1166, Sep. 2004.
20. H. Wei and S. Billings, "Feature subset selection and ranking for data dimensionality reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1, pp. 162-166, Jan. 2007.
21. D. Cai, C. Zhang, and X. He, "Unsupervised feature selection formulticluster data," in Proc. ACM SIGKDD, 2010, pp. 333-342.
22. I. Kononenko, "Estimating attributes: Analysis and extensions of RELIEF," in Proc. ECML, 1994, pp. 171-182.
23. B. Krishnapuram, A. Hartemink, L. Carin, and M. Figueiredo, "A Bayesian approach to joint feature selection and classifier design," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 9, pp. 1105-1111, Sep. 2004.
24. Z. Zhao, L. Wang, and H. Liu, "Efficient spectral feature selection with minimum redundancy," presented at the AAAI, Atlanta, GA, 2010.
25. G. Carneiro, A. Chan, P. Moreno, and N. Vasconcelos, "Supervised learning of semantic classes for image annotation and retrieval," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 3, pp. 394-410, Mar. 2007.
26. Z. Zhao and H. Liu, "Spectral feature selection for supervised and unsupervised learning," in ICML, 2007.
27. H. Li, M.Wang, and X. Hua, "MSRA-MM2.0: A large-scale web multimedia dataset," in Proc. IEEE Int. Conf. Data Mining Workshops, 2006.
28. T. Chua, J. Tang,R.Hong,H. Li, Z. Luo, and Y. Zheng, "NUS-WIDE: A real-world web image database from National University of Singapore," presented at the CIVR, Santorini, Greece, 2009.
29. B. Cheng, J. Yang, S. Yan, Y. Fu, and T. Huang, "Learning with L1-graph for image analalysis," IEEE Trans. Image Process., vol. 19, no. 4, pp. 858-866, Apr. 2010.
30. S. Nowak, A. Llorente, E. Motta, and S. Rueger, "The effect of semantic relatedness measures on multi-label classification evaluation," in Proc. CIVR, 2010, pp. 303-310.
31. M. Wang, X. Hua, J. Tang, and R. Hong, "Beyond distance measurement: Constructing neighborhood similarity for video annotation," IEEE Trans. Multimedia, vol. 11, no. 3, pp. 465-476, Apr. 2009.
32. Y. Han, F. Wu, J. Jia, Y. Zhuang, and B. Yu, "Multi-Task sparse discriminant analysis (MtSDA) with overlapping categories," presented at the AAAI, Atlanta, GA, 2010.