Clustering based multi-label classification for image annotation and retrieval

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 4514-4519

  Nasierding, Gulisong ^a   Tsoumakas, Grigorios ^b   Kouzani, Abbas Z ^a  

^a DEAKIN UNIVERSITY   (Australia)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Automatic image annotation; Clustering; Multi label classification

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; CLASSIFICATION ALGORITHM; CLASSIFICATION FRAMEWORK; DATA SETS; DISJOINT CLUSTERS; EMPIRICAL RESULTS; IMAGE ANNOTATION; MULTI-LABEL; SEMANTIC CONCEPT; TEST INSTANCES; TRAINING SETS; TRAINING TIME;

CLASSIFICATION (OF INFORMATION); CYBERNETICS; IMAGE ANALYSIS; LABELS; LOCOMOTIVES; RAILROAD CARS;

CLUSTERING ALGORITHMS;

EID: 74849135484     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346902     Document Type: Conference Paper

References (21)

1. F. Kang, R. Jin, and R. Sukthankar, "Correlated label propagation with application to multi-label learning," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006, pp. 1719-1726.
2. M. Wang, X. Zhou, and T. S. Chua, "Automatic image annotation via local multi-label classification," in CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval. ACM, 2008, pp. 17-26.
3. G. Tsoumakas, I. Katakis, and I. Vlahavas, "Effective and efficient multilabel classification in domains with large number of labels," in Proc. ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD'08), 2008.
4. G. Tsoumakas and I. Katakis, "Multi-label classification: An overview," International Journal of Data Warehousing and Mining, vol. 3, no. 3, pp. 1-13, 2007.
5. G. Tsoumakas and I. Vlahavas, "Random k-labelsets: An ensemble method for multilabel classification," in Proceedings of the 18th European Conference on Machine Learning (ECML 2007), Warsaw, Poland, September 17-21 2007, pp. 406-417.
6. M.-L. Zhang and Z.-H. Zhou, "Multi-label neural networks with applications to functional genomics and text categorization," IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 10, pp. 1338-1351, 2006.
7. -, "Ml-knn: A lazy learning approach to multi-label learning," Pattern Recognition, vol. 40, no. 7, pp. 2038-2048, 2007.
8. C.-F. Tsai and C. Hung, "Automatically annotating images with keywords: A review of image annotation systems," Recent Patents on Computer Science, vol. 1, no. 1, pp. 55-68, 2008.
9. G. Nasierding and A. Z. Kouzani, "Image to text translation: A review," in Proceedings of the 4th International Conference on Humanized Systems, Beijing, October 2008, pp. 378-383.
10. J. Fan, Y. Gao, and H. Luo, "Hierarchical classification for automatic image annotation," in SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval. ACM Press, 2007, pp. 111-118.
11. R. Jin, J. Y. Chai, and L. Si, "Effective automatic image annotation via a coherent language model and active learning," in MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia. ACM Press, 2004, pp. 892-899.
12. M. Johnson and R. Cipolla, "Improved image annotation and labelling through multi-label boosting," in Proceedings of 2005 British Machine Vision Conference (BMVC '05), 2005.
13. X. Li, L. Wang, and E. Sung, "Multi-label svm active learning for image classification," in IEEE 2004 International Conference on Image Processing (ICIP '04), 2004, pp. 2207-2210.
14. G.-J. Qi, X.-S. Hua, Y. Rui, J. Tang, T. Mei, and H.-J. Zhang, "Correlative multi-label video annotation," in MULTIMEDIA '07: Proceedings of the 15th international conference on Multimedia. ACM, 2007, pp. 17-26.
15. C. G. Snoek, M. Worring, J. C. van Gemert, J. Geusebroek, and A. W. Smeulders, "The challenge problem for automated detection of 101 semantic concepts in multimedia," in Proceedings of ACM Multimedia, Santa Barbara, USA, October 2006, pp. 421-430.
16. A. Dimou, G. Tsoumakas, V. Mezaris, and I. Kompatsiaris, I.and Vlahavas, "An empirical study of multi-label learning methods for video annotation," in 7th International Workshop on Content-Based Multimedia Indexing, IEEE, 2009.
17. P. Duygulu, K. Barnard, N. de Freitas, and D. Forsyth, "Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary," in 7th European Conference on Computer Vision, 2002, pp. (IV)97-112.
18. K. Barnard, P. Duygulu, N. de Freitas, D. Forsyth, D. Blei, and M. I. Jordan, "Matching words and pictures," Journal of Machine Learning Research, vol. 3, pp. 1107-1135, 2003.
19. A. Jain and R. Dubes, Algorithms for clustering data. Englewood Cliffs: Prentice-Hall, 1988.
20. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society, vol. 39, pp. 1-38, 1977.
21. I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2005.