Web image and video mining towards universal and robust age estimator

IEEE Transactions on Multimedia

Volumn 13, Issue 6, 2011, Pages 1217-1229

  Ni, Bingbing ^a   Song, Zheng ^b   Yan, Shuicheng ^b  

^a ADVANCED DIGITAL SCIENCES CENTER   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AGE-RELATED; BENCHMARK DATABASE; ETHNIC GROUPS; FACE SEQUENCES; HUMAN AGING; HUMAN FACES; IMAGE DATABASE; REGULARIZER; TEXT QUERY; TRAINING SAMPLE; VIDEO CLIPS; VIDEO MINING; WEB IMAGES; YOUTUBE;

DETECTORS; ESTIMATION; FACE RECOGNITION; IMAGE QUALITY; LEARNING ALGORITHMS; QUERY LANGUAGES; VIDEO CAMERAS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 82055197311     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2011.2167317     Document Type: Article

References (39)

1. S. Andrews, I. Tsochantaridis, and T. Hofmann, "Support vector machines for multiple-instance learning," in Proc. Neural Information Processing Systems, 2002.
2. Y. Chen, J. Bi, and J.Wang, "Multiple-instance learning via embedded instance selection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 12, pp. 1931-1947, Dec. 2006. (Pubitemid 46405705)
3. B. Cheng, B. Ni, Q. Tian, and S. Yan, "Learning to photograph," in Proc. ACM Int. Conf. Multimedia, 2009, pp. 291-300.
4. T. Cootes, G. Edwards, and C. Taylor, "Active appearance models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 681-685, Jun. 2001. (Pubitemid 32585279)
5. M. E. and W. L. , "Using biologically inspired features for face processing," Int.l J. Comput. Vis., 2008.
6. FG-NET, The FG-NET Aging Database: http://sting.cycollege.ac.cy/ ~alanitis/fgnetaging.html..
7. Y. Fu and T. Huang, "Human age estimation with regression on discriminative aging manifold," IEEE Trans. Multimedia, vol. 10, no. 4, pp. 578-584, Jun. 2008. (Pubitemid 351711234)
8. Y. Fu, G. Guo, and T. S. Huang, "Age synthesis and estimation via faces: A survey," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 11, pp. 1955-1976, Nov. 2010.
9. X. Geng, Z. Zhou, and K. Smith-Miles, "Automatic age estimation based on facial aging patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 12, pp. 2234-2240, Dec. 2007. (Pubitemid 350124070)
10. G. Guo, Y. Fu, C. Dyer, and T. Huang, "Image-based human age estimation by manifold learning and locally adjusted robust regression," IEEE Trans. Image Process., vol. 17, no. 7, pp. 1178-1188, Jul. 2008.
11. G. Guo and G. Mu, "Human age estimation: What is the influence across race and gender?," in Proc. IEEE Int. Workshop Analysis and Modeling of Faces and Gestures, 2010.
12. G. Guo, C. R. Dyer, Y. Fu, and T. S. Huang, "Is gender recognition affected by age?," in Proc. IEEE Int. Workshop Human Computer Interaction, 2009.
13. G. Guo, Y. Fu, C. R. Dyer, and T. S. Huang, "A probabilistic fusion approach to human age prediction," in Proc. Int. Workshop Semantic Learning Applications in Multimedia, 2008.
14. G. Guo, Y. Fu, and T. S. Huang, "Human age estimation using bio-inspired features," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 2009.
15. G. Guo, Y. Fu, T. S. Huang, and C. R. Dyer, "Locally adjusted robust regression for human age estimation," in Proc. IEEE Int. Workshop Application of Computer Vision, 2008.
16. G. Guo, G. Mu, Y. Fu, C. Dyer, and T. S. Huang, "A study on automatic age estimation using a large database," in Proc. IEEE Int. Conf. Computer Vision, 2009.
17. Q. Hao, R. Cai, C.Wang, R. Xiao, J.-M. Yang, Y. Pang, and L. Zhang, "Equip tourists with knowledge mined from travelogues," in Proc. Int. World Wide Web Conf., 2010.
18. J. Hayashi, M. Yasumoto, H. Ito, and H. Koshimizu, "A method for estimating and modeling age and gender using facial image processing," in Proc. Int. Conf. Virtual Systems and Multimedia, 2001, pp. 439-448.
19. R. Ji, X. Xie, H. Yao, and W.-Y. Ma, "Mining city landmarks from blogs by graph modeling," in Proc. ACM Int. Conf. Multimedia, 2009, pp. 105-114.
20. I. Joliffe, Principal Component Analysis. New York: Springer- Verlag, 1986.
21. J. Keeler, D. Rumelhart, and W. Leow, "Integrated segmentation and recognition of hand-printed numerals," in Proc. Neural Information Processing Systems, 1990, pp. 557-563.
22. Y. Kwon and N. Lobo, "Age classification from facial images," Comput. Vis. Image Understand., vol. 74, no. 1, pp. 1-21, Apr. 1999.
23. A. Lanitis, C. Draganova, and C. Christodoulou, "Comparing different classifiers for automatic age estimation," IEEE Trans. Syst., Man, Cybern. B, vol. 34, no. 1, pp. 621-628, Feb. 2004.
24. Z. Li, Y. Fu, and T. S. Huang, "A robust framework for multiview age estimation," in Proc. IEEE Int. Workshop Analysis and Modeling of Faces and Gestures, 2010.
25. O. Maron and T. Lozano-Prez, "A framework for multiple-instance learning," in Proc. Neural Information Processing Systems, 1998, pp. 570-576.
26. B. Ni, Z. Song, and S. Yan, "Web image mining towards universal age estimator," in Proc. 17th ACM Int. Conf. Multimedia, 2009, pp. 85-94.
27. S. Ray and D. Page, "Multiple instance regression," in Proc. Int. Conf. Machine Learning, 2001, pp. 425-432.
28. K. Ricanek and T. Tesafaye, "A longitudinal image database of normal adult age-progression," in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, 2006, pp. 341-345. (Pubitemid 44711373)
29. W. Rudin, Principles of Mathematical Analysis, 3rd ed. New York: McGraw-Hill, 1978.
30. Y. Su, Y. Fu, Q. Tian, and X. Gao, "Cross-database age estimation based on transfer learning," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2010.
31. P. Viola and M. Jones, "Robust real-time face detection," Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, 2004.
32. P. Viola, J. Platt, and C. Zhang, "Multiple instance boosting for object detection," in Proc. Neural Information Processing Systems, 2005.
33. J.Wang and J. Zucker, "Solving the multiple-instance problem: A lazy learning approach," in Proc. Int. Conf. Machine Learning, 2000, pp. 1119-1125.
34. S. Yan, H. Wang, X. Tang, J. Liu, and T. Huang, "Regression from uncertain labels and its applications to soft-biometrics," IEEE Trans. Inf. Forensics Security, vol. 3, no. 4, pp. 698-708, Dec. 2008.
35. S. Yan, X. Zhou, M. Liu, M. Hasegawa-Johnson, and T. S. Huang, "Regression from patch-kernel," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008, pp. 1-8.
36. K. Yanai and K. Barnard, "Finding visual concept by web image mining," in Proc. Int. World Wide Web Conf., 2006.
37. Q. Zhang and S. Goldman, "An improved multiple-instance learning technique," in Proc. Neural Information Processing Systems, 2001.
38. Y.-T. Zheng, M. Zhao, Y. Song, H. Adam, U. Buddemeier, A. Bissacco, F. Brucher, T.-S. Chua, and H. Neven, "Tour the world: Building a web-scale landmark recognition engine," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 2009.
39. Z. Zhou and M. Zhang, "Multi-instance multi-label learning with application to scene classification," in Proc. Neural Information Processing Systems, 2007.