A Survey on Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
 |
International Journal of Engineering Trends and Technology (IJETT) | 
|
| © 2014 by IJETT Journal | ||
| Volume-10 Number-10 |
||
| Year of Publication : 2014 | ||
| Authors : Rahul Jadhav , Suvarna Pawar |
||
 10.14445/22315381/IJETT-V10P299 |
Citation
Rahul Jadhav , Suvarna Pawar. "A Survey on Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", International Journal of Engineering Trends and Technology (IJETT), V10(10),505-507 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Auto face annotation is playing important role in many real-world knowledge management systems and multimedia information. Auto face annotation can be beneficial to many real world applications. Face annotation related to face detection and recognition Recently research interests in mining weakly-labeled facial images on the internet to resolve research challenge in computer vision and image understanding. This paper provides various techniques or methods that are used to annotating facial images
References
[1] S. Satoh, Y. Nakamura, and T. Kanade, “Name-It: Naming and Detecting Faces in News Videos,” IEEE Multimedia, vol. 6, no.1, pp. 22-35, Jan.-Mar. 1999.
[2] A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, “Content-Based Image Retrieval at the End of the Early Years,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1349-1380, Dec. 2000.
[3] S.C.H. Hoi, R. Jin, J. Zhu, and M.R. Lyu, “Semi-Supervised SVM Batch Mode Active Learning with Applications to Image Retrieval,” ACM Trans. Information Systems, vol. 27, pp. 1-29, 2009.
[4] T.L. Berg, A.C. Berg, J. Edwards, and D. Forsyth, “Who’s in the Picture,” Proc. Neural Information Processing Systems Conf.(NIPS),2005.
[5] D. Ozkan and P. Duygulu, “A Graph Based Approach for Naming Faces in News Photos,” Proc. IEEE CS Conf. Computer Vision and Pattern Recognition (CVPR), pp. 1477-1482, 2006.
[6] M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid, “Automatic Face Naming with Caption-Based Supervision,” Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2008.
[7] M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid, “Face Recognition from Caption-Based Supervision,” Int’l J. Computer Vision, vol. 96, pp. 64-82, 2011.
[8] T. Mensink and J.J. Verbeek, “Improving People Search Using Query Expansions,” Proc. 10th European Conf. Computer Vision (ECCV), vol. 2, pp. 86-99, 2008.
[9] T.L. Berg, A.C. Berg, J. Edwards, M. Maire, R. White, Y.W. Teh, E.G. Learned-Miller, and D.A. Forsyth, “Names and Faces in the News,” Proc. IEEE CS Conf. Computer Vision and Pattern Recognition (CVPR), pp. 848-854, 2004.
[10] M. Zhao, J. Yagnik, H. Adam, and D. Bau, “Large Scale Learning and Recognition of Faces in Web Videos,” Proc. IEEE Eighth Int’l Conf. Automatic Face and Gesture Recognition (FG), pp. 1-7, 2008.
[11] Z. Wu, Q. Ke, J. Sun, and H.-Y. Shum, “Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-Ranking,” Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), pp. 3469-3476, 2010.
[12] D. Wang, S.C.H. Hoi, Y. He, and J. Zhu, “Retrieval-Based Face Annotation by Weak Label Regularized Local Coordinate Coding,” Proc. 19th ACM Int’l Conf. Multimedia (Multimedia), pp. 353-362, 2011.
[13] D. Wang, S.C.H. Hoi, and Y. He, “A Unified Learning Framework for Auto Face Annotation by Mining Web Facial Images,” Proc. 21st ACM Int’l Conf. Information and Knowledge Management (CIKM), pp. 1392-1401, 2012.
[14] Dayong Wang, Steven C.H. Hoi, Ying He, and Jianke Zhu,” Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation” IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1, January 2014
[15] W. Dong, Z. Wang, W. Josephson, M. Charikar, and K. Li, “Modeling LSH for Performance Tuning,” Proc. 17th ACM Conf. Information and Knowledge Management (CIKM), pp. 669-678, 2008.
[16] J. Zhu, S.C.H. Hoi, and L.V. Gool, “Unsupervised Face Alignment By Robust Non rigid Mapping,” Proc. 12th Int’l Conf. Computer Vision (ICCV), 2009.
[17] C. Siagian and L. Itti, “Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention,”IEEE Trans. Pattern Analysis and Machine Intelligence, vol.29, no. 2,pp. 300-312, Feb. 2007.
Keywords
Face annotation, web facial images, search base face annotation, content-based image retrieval, weak label, Search based facial annotation.