Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression

MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Volumn , Issue , 2009, Pages 125-134

  Cao, Liangliang ^a   Yu, Jie ^b   Luo, Jiebo ^b   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b EASTMAN KODAK COMPANY   (United States)

Author keywords

Canonical correlations; Geographic annotation; Web image annotation

Indexed keywords

CANONICAL CORRELATIONS; COMMUNITY SITE; DATA SETS; EFFECTIVE MANAGEMENT; HETEROGENEOUS FEATURES; IMAGE SEARCH; NOVEL METHODS; SEMANTIC ANNOTATIONS; SOCIAL NETWORKS; WEB IMAGES;

BEHAVIORAL RESEARCH; IMAGE ANALYSIS; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; TECHNICAL PRESENTATIONS;

SEMANTICS;

EID: 72449122342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631292     Document Type: Conference Paper

References (32)

1. Flickr APIs. http://www.flickr.com/services/api/.
2. L. Cao, J. Luo, and T. Huang. Annotating photo collections by label propagation according to multiple similarity cues. In ACM Conference on Multimedia, 2008.
3. Y. Cheng. Mean shift, mode seeking, and clustering. IEEE Trans. Pattern Analysis and Machine Intelligence, 17(8):790-799, 1995.
4. D. Comaniciu and P. Meer. Mean shift analysis and applications. IEEE International Conference on Computer Vision, pages 1197-1203, 1999.
5. D. Crandall, L. Backstrom, D. Huttenlocher, and J. Kleinberg. Mapping the world's photos. International conference on World Wide Web, pages 761-770, 2009.
6. S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman. Indexing by latent semantic analysis. Journal of the American society for information science, 41(6):391-407, 1990.
7. Y. Freund and R. E. Schapire. Experiments with a new boosting algorithm. ICML, pages 148-156, 1996.
8. Y. Fu, L. Cao, G. Guo, and T. Huang. Multiple feature fusion by subspace learning. In ACM Conference on Content-based Image and Video Retrieval, pages 127-134, 2008.
9. D. Hardoon, S. Szedmak, and J. Shawe-Taylor. Canonical correlation analysis: an overview with application to learning methods. Neural Computation, 16(12):2639-2664, 2004.
10. J. Hays and A. A. Efros. Im2gps: estimating geographic information from a single image. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
11. G. Holmes, A. Donkin, and I. Witten. Weka: A machine learning workbench. Intelligent Information Systems, pages 357-361, 1994.
12. H. Hotelling. Relations between two sets of variates. Biometrika, 28(3-4):321-377, 1936.
13. A. Jaffe, M. Naaman, T. Tassa, and M. Davis. Generating summaries and visualization for large collections of geo-referenced photographs. In ACM international workshop on Multimedia Information Retrieval, pages 89-98, 2006.
14. J. Jia, N. Yu, and X.-S. Hua. Annotating personal albums via web mining. In ACM International Conference on Multimedia, pages 459-468, 2008.
15. Y. Jing and S. Baluja. Apply pagerank to google product image search. International World Wide Web Conference, 2008.
16. L. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury. How flickr helps us make sense of the world: Context and content in community-contributed media collections. In ACM Conference on Multimedia, 2007.
17. T. Kim, J. Kittler, and R. Cipolla. Discriminative learning and recognition of image set classes using canonical correlations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6):1005, 2007.
18. P. Lai and C. Fyfe. Kernel and nonlinear canonical correlation analysis. International Journal of Neural Systems, 16(12):2639-2664, 2004.
19. J. Luo, J. Yu, D. Joshi, and W. Hao. Event recognition: viewing the world with a third eye. In ACM International Conference on Multimedia, pages 1071-1080, 2008.
20. A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3):145-175, 2001.
21. T. Quack, B. Leibe, and L. Van Gool. World-scale mining of objects and events from community photo collections. ACM Conference on Image and Video Retrieval, pages 47-56, 2008.
22. G. Schindler, P. Krishnamurthy, R. Lublinerman, Y. Liu, and F. Dellaert. Detecting and matching repeated patterns for automatic geo-tagging in urban environments. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
23. J. Smith and S. Chang. Visually searching the web for content. IEEE Multimedia Magazine, 4(3):12-20, 1997.
24. A. Sorokin and D. Forsyth. Utility data annotation with amazon mechanical turk. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, pages 1-8, 2008.
25. A. Torralba, R. Fergus, and W. Freeman. 80 million tiny images: A large data set for nonparametric object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(11):1958-1970, 2008.
26. A. Vinokourov, J. Shawe-Taylor, and N. Cristianini. Inferring a semantic representation of text via cross-language correlation analysis. Advances in Neural Information Processing Systems, pages 1497-1504, 2003.
27. C. Wang, L. Zhang, and H.-J. Zhang. Learning to reduce the semantic gap in web image retrieval and annotation. ACM SIGIR, 2008.
28. X.-J. Wang, L. Zhang, X. Li, and W.-Y. Ma. Annotating images by mining image search results. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(11), 2008.
29. K. Q. Weinberger, M. Slaney, and R. Van Zwol. Resolving tag ambiguity. In ACM International Conference on Multimedia, pages 111-120, 2008.
30. L. Wu, X.-S. Hua, N. Yu, W.-Y. Ma, and S. Li. Flickr distance. In ACM International Conference on Multimedia, pages 31-40, 2008.
31. J. Yu and J. Luo. Leveraging probabilistic season and location context models for scene understanding. In International conference on Content-based image and video retrieval, pages 169-178, 2008.
32. W. Zheng, X. Zhou, C. Zou, and L. Zhao. Facial expression recognition using kernel canonical correlation analysis (KCCA). IEEE Transactions on Neural Networks, 17(1):233-238, 2006.