An efficient incremental face annotation for large scale web services

Telecommunication Systems

Volumn 47, Issue 3-4, 2011, Pages 197-214

  Choi, Kwontaeg ^a   Toh, Kar Ann ^a   Byun, Hyeran ^a  

^a Yonsei University   (South Korea)

Author keywords

Face recognition; Incremental learning; Recursive least squares; Web service

Indexed keywords

CLASSIFICATION SYSTEM; EXECUTION TIME; FACE ANNOTATION; IMAGE DATABASE; INCREMENTAL LEARNING; LINEAR DISCRIMINANT ANALYSIS; MODEL PARAMETERS; RECURSIVE ESTIMATION; RECURSIVE LEAST SQUARES; SOCIAL NETWORK SERVICES;

BIOMETRICS; DATABASE SYSTEMS; DISCRIMINANT ANALYSIS; FACE RECOGNITION; IMAGE RETRIEVAL; LAKES; PHOTOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; USER INTERFACES;

WEB SERVICES;

EID: 79958135963     PISSN: 10184864     EISSN: 15729451     Source Type: Journal    
DOI: 10.1007/s11235-010-9312-4     Document Type: Article

References (44)

1. Girgensohn, A., Adcock, J., & Wilcox, L. (2004). Leveraging face recognition technology to find and organize photos. In Proceedings of the 6th ACM SIGMM international workshop on multimedia information retrieval.
2. J. Zhu S. Hoi M. Lyu 2008 Face annotation using transductive kernel Fisher discriminant IEEE Transactions on Multimedia 10 1 86 96 10.1109/TMM.2007.911245 (Pubitemid 350281198)
3. Naaman, M., Yeh, R., Garcia-Molina, H., & Paepcke, A. (2005). Leveraging context to resolve identity in photo albums. In Proceedings of the 5th ACM/IEEE-CS joint conference on digital libraries.
4. M. Zhao Y. Teo S. Liu T. Chua R. Jain 2006 Automatic person annotation of family photo album Lecture Notes in Computer Science 4071 163 172 10.1007/11788034-17 (Pubitemid 44153556)
5. L. Chen B. Hu L. Zhang M. Li H. Zhang 2003 Face annotation for family photo album management International Journal of Image and Graphics 3 1 1 14 10.1142/S0219467803000920
6. Zhang, L., Chen, L., Li, M., & Zhang, H. (2003). Automated annotation of human faces in family albums. In Proceedings of the 11th ACM international conference on multimedia (pp. 355-358).
7. Tian, Y., Liu, W., Xiao, R., Wen, F., & Tang, X. (2007). A face annotation framework with partial clustering and interactive labeling. In Proceedings of Computer Vision and Pattern Recognition (pp. 1-8).
8. Berg, T., Berg, A., Edwards, J., Maire, M., White, R., Teh, Y., Learned-Miller, E., & Forsyth, D. (2004). Names and faces in the news. In Proceedings of computer vision and pattern recognition (Vol. 2, pp. 484-854).
9. Berg, T., Berg, A., Edwards, J., & Forsyth, D. (2005). Who's in the picture? In Proceedings of advances in neural information processing systems (pp. 137-144).
10. S. Satoh Y. Nakamura T. Kanade 1999 Name-it: naming and detecting faces in news videos IEEE Transactions on Multimedia 6 1 22 35 10.1109/93.752960
11. R. Houghton 1999 Named faces: Putting names to faces IEEE Transactions on Intelligent Systems 14 5 45 50 10.1109/5254.796089 (Pubitemid 30546858)
12. Yang, J., Yan, R., & Hauptmann, A. (2005). Multiple instance learning for labeling faces in broadcasting news video. In Proceedings of the 13th annual ACM international conference on multimedia (pp. 31-40).
13. Yang, J., & Hauptmann, A. (2004). Naming every individual in news video monologues. In Proceedings of the 12th annual ACM international conference on multimedia (pp. 580-587). (Pubitemid 40211832)
14. Myspace.com. Available: http://www.myspace.com.
15. Facebook.com. Available: http://www.facebook.com.
16. Flickr.com. Available: http://www.flickr.com.
17. S. Murugesan 2007 Understanding Web 2.0 IT Professional 9 4 34 41 10.1109/MITP.2007.78 (Pubitemid 47274759)
18. Myheritage.com. Available: http://www.myheritage.com.
19. Riya.com. Available: http://www.riya.com.
20. Li, J., & Wang, J. Real-time computerized annotation of pictures. IEEE Transactions on Pattern Analysis and Machine Intelligence.
21. Like.com. Available: http://www.like.com.
22. Comscore. Available: http://www.comscore.com.
23. Becker, B., & Ortiz, E. (2008). Evaluation of face recognition techniques for applications to Facebook. In Eighth international conference on automated face and gesture recognition (AFGR).
24. Facebook-statistics (2008).
25. Stone, Z., Zickler, T., & Darrell, T. (2008). Autotagging Facebook: social network context improves photo annotation. In Workshop on Internet vision.
26. Choi, K., Byun, H., & Toh, K.-A. (2008). A collaborative face recognition framework on a social network platform. In Eighth international conference on automated face and gesture recognition (AFGR).
27. H. Zhao P. Yuen 2008 Incremental linear discriminant analysis for face recognition IEEE Transactions on Systems, Man, and Cybernetics, Part B 38 1 210 221 10.1109/TSMCB.2007.908870 (Pubitemid 351285024)
28. Kim, T., Wong, S., Stenger, B., Kittler, J., & Cipolla, R. (2007). Incremental linear discriminant analysis using sufficient spanning set approximations. In Proceedings of computer vision and pattern recognition.
29. H. Zhao P. Yuen J. Kwok 2006 A novel incremental principal component analysis and its application for face recognition IEEE Transactions on Systems Man and Cybernetics, Part B 36 4 873 886 10.1109/TSMCB.2006.870645 (Pubitemid 44178156)
30. J. Weng Y. Zhang W. Hwang 2003 Candid covariance-free incremental principal component analysis IEEE Transactions on Pattern Analysis and Machine Intelligence 25 8 1034 1040 10.1109/TPAMI.2003.1217609
31. Chen, W., Pan, B., Fang, B., Li, M., & Tang, J. (2008). Incremental nonnegative matrix factorization for face recognition. Mathematical Problems in Engineering.
32. Wade, W. R. (2000). An introduction to analysis (2nd ed.). New York: Prentice Hall.
33. Toh, K., Tran, Q., & Srinivasan, D. (2004). Benchmarking a reduced multivariate polynomial pattern classifier. IEEE Transactions on Pattern Analysis and Machine Intelligence, 740-755.
34. Tran, Q., Toh, K., & Srinivasan, D. (2004). Adaptation to changes in multimodal biometric authentication. In Proceedings of cybernetics and intelligent systems.
35. Wu, J., Zhou, J., & Yan, P. Incremental proximal support vector classifier for multi-class classification. In Proceedings of machine learning and cybernetics (Vol. 5).
36. D. Achlioptas 2003 Database-friendly random projections: Johnson-Lindenstrauss with binary coins Journal of Computer and System Sciences 66 4 671 687 10.1016/S0022-0000(03)00025-4
37. Martinez, A., & Benavente, R. (1998). The AR face database (CVC Technical Report #24).
38. N. Liang G. Huang P. Saratchandran N. Sundararajan 2006 A fast and accurate online sequential learning algorithm for feedforward networks IEEE Transactions on Neural Networks 17 6 1411 1423 10.1109/TNN.2006.880583 (Pubitemid 44824256)
39. Liang, Z., & Li, Y. (2009). Incremental support vector machine learning in the primal and applications. Neurocomputing, 72.
40. S. Ozawa S. Toh S. Abe S. Pang N. Kasabov 2005 Incremental learning of feature space and classifier for face recognition IEEE Transactions on Neural Networks 18 5-6 575 584 (Pubitemid 43186577)
41. AT&T. Available: http://www.uk.research.att.com/facedatabase.html.
42. A. Georghiades P. Belhumeur D. Kriegman 2001 From few to many: illumination cone models for face recognition under variable lighting and pose IEEE Transactions on Pattern Analysis and Machine Intelligence 23 6 643 660 10.1109/34.927464 (Pubitemid 32585276)
43. T. Sim S. Baker M. Bsat 2003 The CMU Pose, Illumination, and Expression (PIE) database IEEE Transactions on Pattern Analysis and Machine Intelligence 25 12 1615 1618 10.1109/TPAMI.2003.1251154
44. OSUSVM. Available: http://www.ece.osu.edu/osu-svm.