Fast online learning algorithm for landmark recognition based on BoW framework

Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014

Volumn , Issue , 2014, Pages 1163-1168

  Cao, Jiuwen ^a   Chen, Tao ^b   Fan, Jiayuan ^c  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); E-LEARNING; FEEDFORWARD NEURAL NETWORKS; INDUSTRIAL ELECTRONICS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; NETWORK LAYERS;

EXTREME LEARNING MACHINE; LANDMARK DATABASE; LANDMARK RECOGNITION; NANYANG TECHNOLOGICAL UNIVERSITY; ONLINE LEARNING ALGORITHMS; SEQUENTIAL LEARNING; SINGLE-HIDDEN LAYER FEEDFORWARD NEURAL NETWORKS; SPATIAL PYRAMIDS;

LEARNING ALGORITHMS;

EID: 84912119287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2014.6931341     Document Type: Conference Paper

References (29)

1. T. Chen, K. Wu, K.-H. Yap, Z. Li, and F. S. Tsai, "A survey on mobile landmark recognition for information retrieval," in Int. Conf. Mobile Data Management: Systems, Services and Middleware, pp. 625-630, 2009.
2. P. Bhattacharya and M. Gavrilova, "A Survey of Landmark Recognition Using the Bag-of-Words Framework," Intelligent Computer Graphics 2012, Studies in Computational Intelligence, vol. 441, pp. 243-263, 2013.
3. 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 webscale landmark recognition engine," in Proc. IEEE Int. Conf. Comput. Vision. Pattern Recognit., pp. 1085-1092, 2009.
4. A. R. Zamir and M. Shah, "Accurate image localization based on Google Maps street view," in Proc. Eur. Conf. Comput. Vision, vol. 6314, pp. 255-268, 2010.
5. K.-H. Yap, T. Chen, Z. Li, and K. Wu, "A comparative study of mobilebased landmark recognition techniques," IEEE Intell. Syst., vol. 25, no. 1, pp. 48-57, 2010.
6. M. Aly, M. Munich, and P. Perona, "Indexing in large scale image collections: Scaling properties and benchmark," in Proc. IEEE Workshop Appl. Comput. Vision, pp. 418-425, 2011.
7. T. Chen, K.-H. Yap, and L.-P. Chau, "Integrated content and context analysis for mobile landmark recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 10, pp. 1476-1486, 2011.
8. T. Chen and K.-H. Yap, "Discriminative BoW Framework for Mobile Landmark Recognition," IEEE Trans Cybern., 2013.
9. G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: theory and applications," Neurocomputing, vol. 70, pp. 489-501, 2006.
10. J. Cao, Z. Lin, and G.-B. Huang, "Composite function wavelet neural networks with extreme learning machine," Neurocomputing, vol. 73, pp. 1405-1416, 2010.
11. G.-B. Huang, H. Zhou, X. Ding, and R. Zhang, "Extreme Learning Machine for Regression and Multiclass Classification," IEEE Trans. Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 42, pp. 513-529, 2012.
12. J. Cao, Z. Lin, G.-B. Huang, and N. Liu, "Voting based extreme learning machine," Information Sciences, vol. 185, pp. 66-77, 2012.
13. N.-Y. Liang, G.-B. Huang, P. Saratchandran, and N. Sundararajan, "A Fast and Accurate On-line Sequential Learning Algorithm for Feedforward Networks," IEEE Trans. Neural Networks, vol. 17, pp. 1411-1423, 2006.
14. J. Cao, Z. Lin, and G.-B. Huang, "Voting base Online Sequential Extreme Learning Machine for Multi-class Classification," in Proc. IEEE Int. Symp. Circuits and Syst., pp. 2327-2330, 2013.
15. Y. Ge and J. Yu, "A scene recognition algorithm based on covariance descriptor," in Proc. IEEE Conf. Cybernetics and Systems, pp. 838-842, 2008.
16. O. Linde and T. Lindeberg, "Object recognition using composed receptive field histograms of higher dimensionality," in Proc. IEEE Conf. Image process. Pattern Recognit., 2004.
17. D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vision, vol. 60, pp. 91-110, 2004.
18. Y. Li and J. Lim, "Outdoor place recognition using compact local descriptors and multiple queries with user verification," in Proc. 15th Int. Conf. Mult., Augsburg, Germany, pp. 549-552, Sept. 2007.
19. C. Cheng, D. Page, and L. Abidi, "Object-based place recognition and loop closing with jigsaw puzzle image segmentation algorithm," in Proc. IEEE conf. Robotics and Automation, Pasadena, CA, pp. 557-562, 2008.
20. Y. Li, J. H. Lim, and H. Goh, "Cascaded classification with optimal candidate selection for effective place recognition," in Proc. IEEE Conf. Multimedia, pp. 1493-1496, 2008.
21. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, "Visual categorization with bags of keypoints," in Proc. Int. Workshop Stat. Learn. Comput. Vision, 2004.
22. A. Bosch, A. Zisserman, and X. Munoz, "Scene classification using a hybrid generative/discriminative approach," IEEE Trans. Pattern Anal. Mach. Intell., vol. 4, no. 3, pp. 712-726, Apr. 2008.
23. R. Fergus, P. Perona, and A. Zisserman, "Object class recognition by unsupervised scale-invariant learning," in Proc. IEEE Int. Conf. Comput. Vision and Pattern Recognit., vol. 2, pp. 264-271, 2003.
24. T. Chin, H. Goh, and J. Lim, "Boosting descriptors condensed from video sequences for place recognition," in Proc. Comput. Vision and Pattern Recognit. Workshop on Visual Localization for Mobile Platforms, 2008.
25. F. F. Li and P. Perona, "A Bayesian hierarchical model for learning natural scene categories," in Proc. IEEE Conf. Comput. Vision and Pattern Recognit., vol. 2, pp. 524-531, 2005.
26. O. Aycard, J. F Mari, and F. Charpillet, "Second order hidden Markov models for place recognition: new results," Tools with Artificial Intelligence, Taiwan, pp. 408-415, 1998.
27. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: spatial pyramid matching for recognizing natural scene categories," Proc. IEEE Conf. Comput. Vision and Pattern Recognit., vol. 2, pp. 2169-2178, 2006.
28. G. H. Golub and C. F. V. Loan, Matrix Computations, 3rd ed. Baltimore, MD: The Johns Hopkins Univ. Press, 1996.
29. D. Nister and H. Stewenius, "Scalable recognition with a vocabulary tree," in Proc. IEEE Int. Conf. Comput. Vision and Pattern Recognit., vol. 2, pp. 2161-2168, 2006.