Automatic image annotation via local multi-label classification

CIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval

Volumn , Issue , 2008, Pages 17-26

  Wang, Mei ^a   Zhou, Xiangdong ^a,b   Chua, Tat Seng ^b  

^a FUDAN UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Automatic image annotation; Maximum margin clustering; Multi label classification

Indexed keywords

IMAGE ANALYSIS; IMAGE RETRIEVAL; LABELS; SEMANTICS;

ANNOTATION METHODS; AUTOMATIC IMAGE ANNOTATION; CONCEPT SPACES; DISCRIMINATIVE LEARNING; IMAGE ANNOTATIONS; ITERATIVE SOLUTIONS; MAXIMUM MARGIN CLUSTERING; MULTI-LABEL CLASSIFICATION; MULTIPLE LABELS; SEMANTIC CLASS; SEMANTIC GAPS; SEMANTIC SIMILARITIES; SEMANTIC SPACES; VISUAL SIMILARITIES; VISUAL SPACES;

INFORMATION THEORY;

EID: 57649109828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1386352.1386359     Document Type: Conference Paper

References (35)

1. A.Yavlinsky, E.Schofield, and S.Ruger. Annotation using global features and robust nonparametric density estimation. CIVR, 2005.
2. K. Barnard and D. Forsyth. Learning the semantics of words and pictures. ICCV. pages 408-415, 2001.
3. J. Bezdek and R. Hathaway. Convergence of alternating optimization. Neurol, Parallel Sci. Comput., 11(4):351-368, 2003.
4. G. Carneiro, A. Chan, and N. V. P.J. Moreno. Supervised learning of semantic classes for image annotation and retrieval. PAMI, 2007.
5. S. Deerwester, S. Dumais, G. Furnas, L. T. K., and R. Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Science, pages 391-407, 1990.
6. P. Duygulu, K. Barnard, J. de Freitas, and D. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. ECCV, 2002.
7. J. Fan, Y. Gao, and H. Luo. Hierarchical classification for automatic image annotation. SIGIR, pages 111-118, 2007.
8. S. Feng, R. Manmatha, and V. Lavrenko. Multiple bernoulli relevance models for image and video annotation. CVPR, pages 1002-1009, 2004.
9. D. Forsyth and M. Fleck. Body plans. CVPR, pages 678-683, 1997.
10. Y. Gao, J. Fan, X. Xue, and R. Jain. Automatic image annotation by incorporating feature hierarchy and boosting to scale up svm classifiers. ACM SIGMM, pages 901-910, 2006.
11. F. D. Gatica-Perez and R. Oka. On image auto-annotation with latent space models. ACM SIGMM, pages 275-278, 2003.
12. N. Haering, Z. Myles, and N. Lobo. Locating dedicuous trees. Proc. Workshop in Content-Based Access to Image and Video Libraries, pages 18-25, 1997.
13. J. Jeon, V. Lavrenko, and R. Manmatha. Automatic image annotation and retrieval using cross-media relevance models. SIGIR, pages 119-126, 2003.
14. R. Jin, J. Y. Chai, and L. Si. Effective automatic image annotation via a coherent language model and active learning. ACM SIGMM, pages 892-899, 2004.
15. Y. Jin, L. Khan, L. Wang, and M. Awad. Image annotations by combining multiple evidence & wordnet. ACM SIGMM, pages 706-715, 2005.
16. F. Kang, R. Jin. and R. Sukthankar. Correlated label propagation with application to multi-label learning. CVPR, pages 291-294, 1719-1726 2006.
17. V. Lavrenko, R. Manmatha, and J. Jeon. A model for learning the semantics of pictures. NIPS, pages 553-560, 2004.
18. J. Liu, B. Wang, M. Li, Z. Li, W. Ma, H. Lu, and S. Ma. Dual cross-media relevance model for image annotation. ACM SIGMM, pages 605-614, 2007.
19. Y. Li and L. Shapiro. Consistent line clusters for building recognition in cbir. Proc. Inta̧ŕl Conf. Pattern Recognition, pages 952-956, 2002.
20. F. Monay and D. GaticaPerez. Plsa-based image autoannotation: Constraining the latent space. ACM SIGMM, pages 348-351, 2004.
21. Y. Mori, H. Takahashi, and R. Oka. Image-to-word transformation based on dividing and vector quantizing images with words. In First International Workshop on Multimedia Intelligent Storage and Retrieval Management, 1999.
22. M. Naphade, J. R. Smith, J. Tesic, S. Chang, W. Hsu, L. Kennedy, and A. Hauptmann. Large-scale concept ontology for multimedia, IEEE Multimedia, 13:86-91, Jul-Sep 2006.
23. G. Qi, X. Hua, Y. Rui, J. Tang, T. Mei, and H. Zhang. Correlative multi-label video annotation. ACM SIGMM, pages 17-26, 2007.
24. R.Shi, T. Chua, C. lee, and S. Gao. Bayesian learning of hierarchical multinomial mixture models of concepts for automatic image annotation. CIVR, pages 102-112, 2006.
25. C. Steven, R. Michael, and R. Jin. Integrating user feedback log into relevance feedback by coupled svm for content-based image retrieval. IEEE ICDE Workshop, pages 1177-1186, 2005.
26. B. Sun, P. Mitra, H. Zha, C. L. Giles, and J. Yen. Topic segmentation with shared topic detection and alignment of multiple documents. SIGIR, pages 199-206, 2007.
27. M. Szummer and R. Picard. Indoor-outdoor image classification. Workshop Content-Based Access to Image and Video Databases, 1998.
28. J. Tang and P. Lewis. Using multiple segmentations for image auto-annotation. CIVR, pages 581-586, 2007.
29. A. Vailaya, A. Jain, and H. Zhang. On image classification: City vs. landscape. Pattern Recognition, pages 1921-1936, 1998.
30. L. Xu, J. Neufeld, B. Larson, and D. Schuurmans. Maximum margin clustering. NIPS, 2004.
31. L. Xu and D. Schuurmans. Unsupervised and semi-supervised multi-class support vector machines. NIPS, 2006.
32. C. Yang and M. Dong. Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning. CVPR, pages 2057-2063, 2006.
33. K. Zhang, I. Tsang, and J. Kwok. Maximum margin clustering made practical. ICML, 2007.
34. M. Zhang and Z. Zhou. Ml-knn: A lazy learning approach to multi-label learning. pattern recognition, pages 605-614, 2007.
35. X. Zhou, M. Wang, Q. Zhang, J. Zhang, and B. Shi. Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching. CIVR, pages 25-32, 2007.