Automatic face annotation in news images by mining the web

Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

Volumn 1, Issue , 2011, Pages 47-54

  Medvet, Eric ^a   Bartoli, Alberto ^a   Davanzo, Giorgio ^a   De Lorenzo, Andrea ^a  

^a UNIVERSITY OF TRIESTE   (Italy)

Author keywords

Face recognition; Image annotation; SURF; Web mining

Indexed keywords

AUTOMATIC ANNOTATION; CONSTANT FLOW; FACE ANNOTATION; HUMAN OPERATOR; IMAGE ANNOTATION; IMAGE INDEXING; IMAGE SEARCH ENGINE; KEY FEATURE; KNOWLEDGE BASE; PRIOR KNOWLEDGE; SEARCH ENGINE RESULTS; SURF; WEALTH OF INFORMATION; WEB MINING;

FACE RECOGNITION; IMAGE RETRIEVAL; INDEXING (OF INFORMATION); KNOWLEDGE BASED SYSTEMS; USER INTERFACES;

SEARCH ENGINES;

EID: 80155180494     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI-IAT.2011.101     Document Type: Conference Paper

References (22)

1. T. L. Berg, A. C. Berg, J. Edwards, M. Maire, R. White, Y. Teh, E. Learned-Miller, and D. A. Forsyth, "Names and faces in the news," in Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2. Los Alamitos, CA, USA: IEEE Computer Society, 2004, pp. 848-854.
2. M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid, "Automatic face naming with caption-based supervision," in Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, 2008, pp. 1-8.
3. A. Kitahara, T. Joutou, and K. Yanai, "Associating faces and names in japanese photo news articles on the web," in Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops. IEEE Computer Society, 2008, pp. 1156-1161. [Online]. Available: http://portal.acm.org/citation.cfm?id=1395080.1395454
4. M. F. Moens and T. Tuytelaars, "Linking names and faces: Seeing the problem in different ways," 2008.
5. H. Zitouni, M. Bulut, and P. Duygulu, "Recognizing faces in news photographs on the web," in Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on, 2009, pp. 50-55.
6. D. Ozkan and P. Duygulu, "Interesting faces: A graphbased approach for finding people in news," Pattern Recognition, vol. 43, no. 5, pp. 1717-1735, May 2010. [Online]. Available: http://www.sciencedirect.com/science/ article/B6V14-4XSJVJ5-1/2/6595aaec3676a87d33f0b4d501191a8f
7. M. Turk and A. Pentland, "Face recognition using eigenfaces," in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol. 591, 1991.
8. T. L. Berg, A. C. Berg, J. Edwards, and D. A. Forsyth, "Who's in the picture?" in Advances in neural information processing systems 17: proceedings of the 2004 conference. The MIT Press, 2005, p. 137.
9. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," in Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, 2001, p. 511.
10. M. Everingham, J. Sivic, and A. Zisserman, "Hello! my name is... buffy-automatic naming of characters in TV video," BMVC, pp. 889-908, 2006.
11. J. Sivic, M. Everingham, and A. Zisserman, ""Who are you?" - learning person specific classifiers from video," in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, 2009, pp. 1145-1152.
12. H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool, "Speeded-Up robust features (SURF)," Computer Vision and Image Understanding, vol. 110, no. 3, pp. 346-359, Jun. 2008. [Online]. Available: http://www.sciencedirect.com/ science/article/B6WCX-4RC2S4T-2/2/c2c03b6165996e30312e5b7c7b681155
13. P. Dreuw, P. Steingrube, H. Hanselmann, and H. Ney, "SURFFace: face recognition under viewpoint consistency constraints," British Machine Vision Conference, Sep. 2009.
14. V. Jain, E. Learned-Miller, and A. McCallum, "People-LDA: anchoring topics to people using face recognition," in Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 2007, pp. 1-8.
15. T. Cour, B. Sapp, C. Jordan, and B. Taskar, "Learning from ambiguously labeled images," in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, 2009, pp. 919-926.
16. D. Ramanan, S. Baker, and S. Kakade, "Leveraging archival video for building face datasets," in Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 2007, pp. 1-8.
17. D. Le and S. Satoh, "Unsupervised face annotation by mining the web," in Data Mining, IEEE International Conference on. Los Alamitos, CA, USA: IEEE Computer Society, 2008, pp. 383-392.
18. W. Lin, R. Jin, and A. Hauptmann, "Web image retrieval reranking with relevance model," in Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on, 2003, pp. 242-248.
19. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International journal of computer vision, vol. 60, no. 2, pp. 91-110, 2004.
20. H. Bay, B. Fasel, and L. V. Gool, "Interactive museum guide," Smart Environments and their Applications to Cultural Heritage, p. 39, 2006.
21. M. Ester, H. P. Kriegel, J. Sander, and X. Xu, "A densitybased algorithm for discovering clusters in large spatial databases with noise," in Proc. KDD, vol. 96, 1996, pp. 226-231.
22. M. M. Breunig, H. Kriegel, R. T. Ng, and J. Sander, "LOF: identifying density-based local outliers," SIGMOD Rec., vol. 29, no. 2, pp. 93-104, 2000. [Online]. Available: http://portal.acm.org/citation.cfm?id= 335191.335388