A survey of landmark recognition using the bag-of-words framework

Studies in Computational Intelligence

Volumn 441, Issue , 2013, Pages 243-263

  Bhattacharya, Priyadarshi ^a   Gavrilova, Marina ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84867644410     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-31745-3_13     Document Type: Conference Paper

References (47)

1. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(4), 509-522 (2002 (Pubitemid 34448769)
2. Bosch, A., Zisserman, A., Munoz, X.: Scene classification using a hybrid generative/ discriminative approach. IEEE Trans. on Pattern Analysis and Machine Intelligence 30(4), 712-727 (2008 (Pubitemid 351559723)
3. Boutell, M.R., Luo, J., Shen, X., Brown, C.M.: Learning multi-label scene classification. Pattern Recognition 37(9), 1757-1771 (2004 (Pubitemid 38804465)
4. Chen, T., Wu, K., Yap, K.-H., Li, Z., Tsai, F.S.: A survey on mobile landmark recognition for information retrieval. In: Mobile Data Management: Systems, Services and Middleware, pp. 625-630 (2009
5. Chum, O., Matas, J.: Large-scale discovery of spatially related images. IEEE PAMI 32, 371-377 (2010
6. Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning 20(3), 273-297 (1995
7. Chen, D., et al.: City-scale landmark identification on mobile devices. In: CVPR (2011
8. Nowak, E., Jurie, F., Triggs, B.: Sampling Strategies for Bag-of-Features Image Classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part IV. LNCS, vol. 3954, pp. 490-503. Springer, Heidelberg (2006
9. Mikolajczyk, K., et al.: A comparison of affine region detectors. IJCV 65, 43-72 (2005 (Pubitemid 43281159)
10. Chen, T., et al.: A multi-scale learning approach for landmark recognition using mobile devices. In: IEEE Information, Communications and Signal Processing, pp. 1-4 (2009
11. Zheng, Y.-T., et al.: Tour the world: Building a web-scale landmark recognition engine. In: CVPR, pp. 1085-1092 (2009
12. Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with application to image analysis and automated cartography. Communications of the ACM 24, 381-395 (1981 (Pubitemid 12444102)
13. Fritz, G., Seifert, C., Paletta, L.: A mobile vision system for urban detection with informative local descriptors. In: IEEE Conf. Computer Vision, pp. 30-35 (2006
14. Ge, Y., Yu, J.: A scene recognition algorithm based on covariance descriptor. In: IEEE Conf. Cybernetics and Systems, pp. 838-842 (2008
15. Gokalp, D., Aksoy, S.: Scene classification using bag-of-regions representations. In: CVPR, pp. 1-8 (2007
16. Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 404-417. Springer, Heidelberg (2006
17. Hile, H., Grzeszczuk, R., Liu, A., Vedantham, R., Kôsecka, J., Borriello, G.: Landmark-Based Pedestrian Navigation with Enhanced Spatial Reasoning. In: Tokuda, H., Beigl, M., Friday, A., Brush, A.J.B., Tobe, Y. (eds.) Pervasive 2009. LNCS, vol. 5538, pp. 59-76. Springer, Heidelberg (2009
18. Jiang, Y.-G., Ngo, C.-W., Yang, J.: Towards optimal bag-of-features for object categorization and semantic video retrieval. In: ACM Int'l Conference on Image and Video Retrieval, pp. 494-501 (2007 (Pubitemid 350229664)
19. Kadir, T., Zisserman, A., Brady, M.: An Affine Invariant Salient Region Detector. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 228-241. Springer, Heidelberg (2004
20. Ke, Y., Sukthankar, R.: PCA-SIFT: A more distinctive representation for local image descriptors. In: CVPR, pp. 66-75 (2004
21. Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: CVPR (2006
22. Li, F.F., Perona, P.: A bayesian hierarchical model for learning natural scene categories. In: CVPR, pp. 524-531 (2005
23. Li, Y., Lim, J.H., Goh, H.: Cascaded classification with optimal candidate selection for effective place recognition. In: IEEE Conf. Multimedia, pp. 1493-1496 (2008
24. Lim, J., Li, Y., You, Y.: Scene recognition with camera phones for tourist information access. In: IEEE Conf. Multimedia, pp. 100-103 (2007
25. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV, 91-110 (2004
26. Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing 22(10), 761-767 (2004
27. Mikolajczyk, K.: Scale and affine invariant interest point detectors. PhDThesis (2002
28. Mikolajczyk, K., Schmid, C.: An Affine Invariant Interest Point Detector. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part I. LNCS, vol. 2350, pp. 128-142. Springer, Heidelberg (2002
29. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. In: CVPR (2003
30. Mikolajczyk, K., Schmid, C.: Scale & affine invariant interest point detectors. IJCV 60(1), 63-86 (2004
31. Nguyen, G.P., Andersen, H.J., Hoilund, C.: Street navigation using visual information on mobile phones. In: Intelligent Systems Design and Applications, pp. 37-42 (2010
32. Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision (IJCV) 42(3), 145-175 (2001 (Pubitemid 32680801)
33. Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: CVPR (2007
34. Pronobis, S., Caputo, A.: Confidence-based cue integration for visual place recognition. In: IEEE Conf. Intelligent Robots and Systems, pp. 2394-2401 (2007
35. Sivic, J., Zisserman, A.: Video google: A text retrieval approach to object matching in videos. In: ICCV, pp. 1470-1478 (2003
36. Steinbach, M., Ertoz, L., Kumar, V.: Challenges of clustering high dimensional data. In: New Vistas in Statistical Physics Applications in Econophysics, Bioinformatics, and Pattern Recognition (2003
37. Torralba, A., Murphy, K.P., Freeman, W.T., Rubin, M.A.: Context-based vision system for place and object recognition. In: ICCV, pp. 273-280 (2003
38. Turcot, P., Lowe, D.G.: Better matching with fewer features: The selection of useful features in large database recognition problems. In: ICCVWorkshop on Emergent Issues in Large Amounts of Visual Data, WS-LAVD (2009
39. Tuytelaars, T., Van Gool, L.: Matching widely separated views based on affine invariant regions. IJCV 59(1), 61-85 (2004
40. Tuytelaars, T.,Mikolajczyk, K.: Local invariant feature detectors: A survey. Foundations and Trends in Computer Graphics and Vision 3(3), 177-280 (2008
41. van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.: Evaluating color descriptors for object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(9), 1582-1596 (2010
42. Vedaldi, A., Fulkerson, B.: VLFeat: An open and portable library of computer vision algorithms (2008), http://www.vlfeat.org/ (last accessed 2012
43. Yang, J., Jiang, Y.-G., Hauptmann, A.G., Ngo, C.-W.: Evaluating bag-of-visual-words representations in scene classification. In: Int'l Workshop on Multimedia Information Retrieval, pp. 197-206 (2007
44. Yang, Y., Pedersen, J.: A comparative study on feature selection in text categorization. In: Intl Conf. on Machine Learning, pp. 412-420 (1997
45. Yeh, T., Tollmar, K., Darrell, T.: Searching the web with mobile images for location recognition. In: CVPR, pp. 76-81 (2004
46. Zhang, W., Kosecka, J.: Image based localization in urban environments. In: International Symposium on 3D Data Processing, Visualization and Transmission, pp. 33-40 (2006
47. Zhang, W., Kosecka, J.: Hierarchical building recognition. In: Image and Vision Computing, pp. 704-716 (2007 (Pubitemid 46275173)