An on-line learning method for face association in personal photo collection

Image and Vision Computing

Volumn 30, Issue 4-5, 2012, Pages 306-316

  Lo Presti, Liliana ^a   La Cascia, Marco ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

Data association; Digital libraries; Face descriptor; On line learning; Semi supervised learning

Indexed keywords

DIGITAL LIBRARIES; SUPERVISED LEARNING;

CLUSTERING METHODS; DATA ASSOCIATION; DATA SETS; FACE DESCRIPTOR; MULTITARGET; ON-LINE LEARNING METHODS; ONLINE LEARNING; PERSONAL PHOTO COLLECTION; PHOTO ALBUM; PHOTO COLLECTIONS; PHOTO RETRIEVAL; PRIOR INFORMATION; PROBABILISTIC FRAMEWORK; PUBLIC DATASET; SEMI-SUPERVISED LEARNING; VISUAL TRACKING;

E-LEARNING;

EID: 84861740480     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2012.02.011     Document Type: Article

References (55)

1. iPhoto http://www.apple.com/ilife/iphoto 2002
2. R. Jain, and P. Sinha Content without context is meaningless Proc. of Conf. on Multimedia (MM) 2010 ACM 1259 1268
3. J. Choi, S. Yang, Y. Ro, and K. Plataniotis Face annotation for personal photos using context-assisted face recognition Proc. of Int. Conf. on Multimedia Information Retrieval (MIR) 2008 ACM 44 51
4. W.-T. Chu, Y.-L. Lee, and J.-Y. Yu Using context information and local feature points in face clustering for consumer photos Proc. of Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2009 IEEE 1141 1144
5. E. Ardizzone, M. La Cascia, and F. Vella A novel approach to personal photo album representation and management Proceedings of Multimedia Content Access: Algorithms and systems II IS&T SPIE Symposium on Electronic Imaging volume 6820 2008 682007
6. L. Zhang, Y. Hu, M. Li, W. Ma, and H. Zhang Efficient propagation for face annotation in family albums Proc. of Conf. on Multimedia (MM) 2004 ACM 716 723 (Pubitemid 40211850)
7. B. Babenko, M. Yang, and S. Belongie Visual tracking with online multiple instance learning Proc. of Conf. on Computer Vision and Pattern Recognition (CVPR) 2009 IEEE 983 990
8. H. Lu, W. Zhang, and Y. Chen On feature combination and multiple kernel learning for object tracking Computer Vision - ACCV 2010 2011 Springer 511 522
9. F. Tang, S. Brennan, Q. Zhao, and H. Tao Co-tracking using semi-supervised support vector machines Proc. of International Conference on Computer Vision, (ICCV) 2007 IEEE 1 8
10. T. Kim, W.T.B. Stenger, and R. Cipolla Online multiple classifier boosting for object tracking Transactions on Pattern Analysis and Machine Intelligence (PAMI) 30 2008 1257 1269
11. L. Zhang, L. Chen, M. Li, and H. Zhang Automated annotation of human faces in family albums Proc. of Conf. on Multimedia (MM) 2003 ACM 355 358
12. H. Kang, and B. Shneiderman Visualization methods for personal photo collections: browsing and searching in the photofinder International Conference on Multimedia and Expo, (ICME) volume 3 2000 IEEE 1539 1542 (Pubitemid 33059236)
13. Picasa http://picasa.google.com 2004
14. L. Lo Presti, M. Morana, and M. La Cascia A data association approach to detect and organize people in personal photo collections Multimedia Tools and Applications 2011
15. A. Gallagher, and T. Chen Clothing cosegmentation for recognizing people Proc. of Computer Vision and Pattern Recognition (CVPR) 2008 IEEE 1 8
16. A. Kapoor, G. Hua, A. Akbarzadeh, and S. Baker Which faces to tag: adding prior constraints into active learning Proc. of Int. Conf. on Computer Vision 2009 IEEE 1058 1065
17. L. Gu, T. Zhang, and X. Ding Clustering consumer photos based on face recognition Proc. of Int. Conf. on Multimedia and Expo 2007 IEEE 1998 2001
18. L. Lo Presti, M. Morana, and M. La Cascia A data association algorithm for people re-identification in photo sequences Proc. of Int. Symposium on Multimedia (ISM) 2010 IEEE 318 323
19. Y. Bar-Shalom Tracking and Data Association 1987 Academic Press Professional, Inc
20. J. Gross, and J. Yellen Graph Theory and Its Applications 2006 CRC press
21. J. Munkres Algorithms for the assignment and transportation problems J. Soc. Ind. Appl. Math. 1957 32 38
22. X. Zhu Semi-Supervised Learning Literature Survey, Technical Report 1530 2005 Computer Sciences, University of Wisconsin-Madison
23. A. Blum, and T. Mitchell Combining labeled and unlabeled data with co-training Proc. of Conf. on Computational learning theory 1998 ACM 92 100
24. T. Mitchell The role of unlabeled data in supervised learning Proc. of Int. Colloquium on Cognitive Science 1999 2 11
25. L. Wang, C. Leckie, K. Ramamohanarao, and J. Bezdek Automatically determining the number of clusters in unlabeled data sets Trans. Knowl. Data Eng. 2008 335 350
26. L. Wang, X. Geng, J. Bezdek, C. Leckie, and K. Ramamohanarao Enhanced visual analysis for cluster tendency assessment and data partitioning Transactions on Knowledge and Data Engineering 2009 1401 1414
27. S. Prince, and J. Elder Bayesian identity clustering Proc. of Canadian Conference on Computer and Robot Vision (CRV) 2010 IEEE 32 39
28. R. Duda, P. Hart, and D. Stork Pattern Classification volume 2 2001 John Wiley & Sons
29. F. Masulli A new approach to hierarchical clustering for the analysis of genomic data Proc. of Int. Joint Conf. on Neural Networks (IJCNN) volume 1 2005 IEEE 155 160 (Pubitemid 44055441)
30. K. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft When is Ònearest neighborÓ meaningful?, Database TheoryÑICDT 1999 217 235
31. D. Comaniciu, and P. Meer Mean shift: a robust approach toward feature space analysis Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2002 603 619 (Pubitemid 34550429)
32. L. Heyer, S. Kruglyak, and S. Yooseph Exploring expression data: identification and analysis of coexpressed genes Genome Res. 9 1999 1106 1115
33. P. Viola, and M. Jones Robust real-time face detection Int. J. Comput. Vis. 57 2004 137 154
34. G.B. Huang, V. Jain, and E. Learned-Miller Unsupervised joint alignment of complex images Proc. of Int. Conf. on Computer Vision (ICCV) 2007 IEEE 1 8
35. X. Tan, and B. Triggs Enhanced local texture feature sets for face recognition under difficult lighting conditions Proc. of Int. Conf. on Analysis and Modeling of Faces and Gestures 2007 Springer-Verlag 168 182
36. M. Turk, and A. Pentland Eigenfaces for recognition J. Cogn. Neurosci. 3 1991 71 86
37. P. Belhumeur, J. Hespanha, and D. Kriegman Eigenfaces vs. fisherfaces: recognition using class specific linear projection Trans. on Pattern Analysis and Machine Intelligence (PAMI) 19 2002 711 720 (Pubitemid 127762263)
38. T. Ahonen, A. Hadid, and M. Pietikäinen Face recognition with local binary patterns Proc. of European Conf. on Computer Vision (ECCV) 2004 Springer 469 481
39. T. Ojala, M. Pietikäinen, and T. Mäenpää Multiresolution gray-scale and rotation invariant texture classification with local binary patterns Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2002 971 987 (Pubitemid 34835471)
40. I. Jolliffe Principal Component Analysis 2002 Wiley Online Library
41. D.D. Lee, and H.S. Seung Algorithms for non-negative matrix factorization Proc. of Advances in Neural Information Processing (NIPS) volume 13 2001 MIT Press 556 562
42. S.Z. Li, X. Hou, H. Zhang, and Q. Cheng Learning spatially localized parts-based representations Proc. Conf. Computer Vision and Pattern Recognition (CVPR) volume 1 2001 IEEE 207 212
43. A. Bosch, A. Zisserman, and X. Munoz Representing shape with a spatial pyramid kernel Proc. of Int. Conf. on Image and Video Retrieval (CIVR) 2007 ACM 401 408 (Pubitemid 350229652)
44. T. Ahonen, A. Hadid, and M. Pietikäinen Face description with local binary patterns: application to face recognition IEEE Trans. Pattern Anal. Mach. Intell. 28 2006 2037 2041 (Pubitemid 46405714)
45. S. Lazebnik, C. Schmid, and J. Ponce Beyond bags of features: spatial pyramid matching for recognizing natural scene categories Proc. of Conf. on Computer Vision and Pattern Recognition (CVPR) volume 2 2006 IEEE 2169 2178 (Pubitemid 44931582)
46. K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer Online passive-aggressive algorithms J. Mach. Learn. Res. 7 2006 551 585 (Pubitemid 43668115)
47. M. Kubat, and S. Matwin Addressing the curse of imbalanced training sets: one-sided selection Proc. of Conf. in Machine Learning 1997 Morgan Kaufmann Pub 179 186
48. T. Hastie, and R. Tibshirani Classification by pairwise coupling Ann. Stat. 26 1998 451 471
49. T. Minka, A comparison of numerical optimizers for logistic regression, Unpublished draft (2003).
50. F.S. Hillier, and G.J. Lieberman Introduction to Operations Research 2001 McGraw-Hill
51. G. Huang, M. Ramesh, T. Berg, and E. Learned-Miller Labeled faces in the wild: a database for studying face recognition in unconstrained environments, Technical Report 07 2007 University of Massachusetts Amherst
52. Y. Taigman, L. Wolf, and T. Hassner Multiple one-shots for utilizing class label information British Machine Vision Conference (BMVC) volume 2 2009 1 12
53. H. Nguyen, and L. Bai Cosine similarity metric learning for face verification Proc. of Asian Conf. on Computer Vision - ACCV 2011 Springer 709 720
54. S. Prince, P. Li, Y. Fu, U. Mohammed, and J. Elder Probabilistic models for inference about identity Trans. Pattern Anal. Mach. Intell. 2011 144 157
55. A. Jain, M. Murty, and P. Flynn Data clustering: a review ACM computing surveys (CSUR) 31 1999 264 323