Efficient Bag of Scenes analysis for image categorization

ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods

Volumn , Issue , 2013, Pages 335-344

  Paris, Sébastien ^a   Halkias, Xanadu ^b   Glotin, Hervé ^b,c  

^a AIX MARSEILLE UNIVERSITY   (France)

^b AIX MARSEILLE UNIV   (France)

^c INSTITUT UNIVERSITAIRE DE FRANCE   (France)

Author keywords

Dictionary learning; Fine grained visual categorization; Image categorization; LASSO; Linear SVM; Max pooling; Multi scale LBP LTP; Non parametric local patterns; Scenes categorization; Sparse coding; SPM

Indexed keywords

DICTIONARY LEARNING; IMAGE CATEGORIZATION; LASSO; LINEAR SVM; LOCAL PATTERNS; MAX-POOLING; MULTISCALES; SCENES CATEGORIZATION; SPARSE CODING; SPM; VISUAL CATEGORIZATION;

ENCODING (SYMBOLS); GRAPHIC METHODS; IMAGE CLASSIFICATION; PATTERN RECOGNITION; SEMANTICS;

IMAGING SYSTEMS;

EID: 84877958508     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (66)

1. Avila, S. E. F., Thome, N., Cord, M., Valle, E., and de Albuquerque Araújo, A. (2011). Bossa: Extended bow formalism for image classification. In ICIP' 11.
2. Bianconi, F. and Fernández, A. (2011). On the occurrence probability of local binary patterns: A theoretical study. Journal of Mathematical Imaging and Vision, 40(3):259-268.
3. Bianconi, F., González, E., Fernández, A., and Saetta, S. A. (2012). Automatic classification of granite tiles through colour and texture features. Expert Syst. Appl., 39(12):11212-11218.
4. Bo, L., Lai, K., Ren, X., and Fox, D. (2011a). Object recognition with hierarchical kernel descriptors. In CVPR' 11.
5. Bo, L., Ren, X., and Fox, D. (2010). Kernel descriptors for visual recognition. In NIPS' 10.
6. Bo, L., Ren, X., and Fox, D. (2011b). Hierarchical matching pursuit for image classification: Architecture and fast algorithms. In NIPS' 11, pages 2115-2123.
7. Boiman, O., Shechtman, E., and Irani, M. (2008). In defense of nearest-neighbor based image classification. In CVPR' 08.
8. Bosch, A., Zisserman, A., and Munoz, X. (2007). Image classification using random forests and ferns. In ICCV' 07.
9. Boureau, Y., Bach, F., LeCun, Y., and Ponce, J. (2010a). Learning mid-level features for recognition. In CVPR' 10.
10. Boureau, Y., Le Roux, N., Bach, F., Ponce, J., and LeCun, Y. (2011). Ask the locals: multi-way local pooling for image recognition. In ICCV' 11.
11. Boureau, Y., Ponce, J., and LeCun, Y. (2010b). A theoretical analysis of feature pooling in vision algorithms. In ICML' 10.
12. Chai, Y., Lempitsky, V. S., and Zisserman, A. (2011). Bicos: A bi-level co-segmentation method for image classification. In ICCV' 11.
13. Chatfield, K., Lempitsky, V., Vedaldi, A., and Zisserman, A. (2011). The devil is in the details: an evaluation of recent feature encoding methods. In BMVC.
14. Chen, J., Shan, S., He, C., Zhao, G., Pietikainen, M., Chen, X., and Gao, W. (2010). Wld: A robust local image descriptor. IEEE Trans. PAMI, 32(9).
15. Choi, J., Schwartz, W. R., Guo, H., and Davis, L. S. (2012). A complementary local feature descriptor for face identification. In WACV' 12.
16. Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In CVPR' 05.
17. Deselaers, T. and Ferrari, V. (2010). Global and efficient self-similarity for object classification and detection. In CVPR' 10.
18. Duchenne, O., Joulin, A., and Ponce, J. (2011). A graphmatching kernel for object categorization. In ICCV' 11.
19. Elfiky, N. M., Khan, F. S., van de Weijer, J., and Gonzàlez, J. (2012). Discriminative compact pyramids for object and scene recognition. Pattern Recognition, 45(4):1627-1636.
20. Fei-Fei, L., Fergus, R., and Perona, P. (2007). Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. Comput. Vis. Image Underst., 106(1):59-70.
21. Fröba, B. and Ernst, A. (2004). Face detection with the modified census transform. In FGR' 04.
22. Gao, S., Tsang, I. W.-H., Chia, L.-T., and Zhao, P. (2010). Local features are not lonely laplacian sparse coding for image classification. In CVPR '10.
23. Heikkilä, M., Pietikäinen, M., and Schmid, C. (2006). Description of interest regions with center-symmetric local binary patterns. In CVGIP '06.
24. Hsieh, C., Chang, K., Lin, C., and Keerthi, S. (2008). A dual coordinate descent method for large-scale linear svm.
25. Huang, D., Shan, C., Ardabilian, M., Wang, Y., and Chen, L. (2011). Local Binary Patterns and Its Application to Facial Image Analysis: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41(4):1-17.
26. Hussain, S. u. and Triggs, W. (2012). Visual recognition using local quantized patterns. In CVPR' 12.
27. Jia, Y., Huang, C., and Darrell, T. (2011). Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features. In NIPS '11.
28. Jun, B. and Kim, D. (2012). Robust face detection using local gradient patterns and evidence accumulation. Pattern Recognition, 45(9):3304-3316.
29. Khan, F. S., van de Weijer, J., Bagdanov, A. D., and Vanrell, M. (2011). Portmanteau vocabularies for multi-cue image representation. In NIPS' 11.
30. Khosla, A., Jayadevaprakash, N., Yao, B., and Fei-Fei, L. (2011a). Novel dataset for fine-grained image categorization. In CVPR '11.
31. Khosla, A., Jayadevaprakash, N., Yao, B., and Fei-Fei, L. (2011b). Novel dataset for fine-grained image categorization. In First Workshop on Fine-Grained Visual Categorization, CVPR '11.
32. Krapac, J., Verbeek, J., and Jurie, F. (2011). Modeling Spatial Layout with Fisher Vectors for Image Categorization. In ICCV '11.
33. Larios, N., Lin, J., Zhang, M., Lytle, D., Moldenke, a., Shapiro, L., and Dietterich, T. (2011). Stacked spatialpyramid kernel: An object-class recognition method to combine scores from random trees. In WACV' 11.
34. Lazebnik, S., Schmid, C., and Ponce, J. (2006). Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR' 06.
35. Lee, H., Chung, Y., Kim, J., and Park, D. (2010). Face image retrieval using sparse representation classifier with gabor-lbp histogram. In WISA' 10.
36. Li, F., Carreira, J., and Sminchisescu, C. (2010). Object recognition as ranking holistic figure-ground hypotheses. In CVPR' 10.
37. Li, L. (2007). What, where and who? classifying event by scene and object recognition. In CVPR '07.
38. Liao, S., Zhu, X., Lei, Z., Zhang, L., and Li, S. Z. (2007). Learning multi-scale block local binary patterns for face recognition. In ICB.
39. Lowe, D. G. (2009). Object recognition from local scale-invariant features. In ICCV' 99.
40. Mairal, J., Bach, F., Ponce, J., and Sapiro, G. (2009). Online dictionary learning for sparse coding. In ICML '09.
41. Marcel, S., Rodriguez, Y., and Heusch, G. (2007). On the recent use of local binary patterns for face authentication. International Journal on Image and Video Processing Special Issue on Facial Image Processing.
42. Ojala, T., Pietikäinen, M., and Mäenpää, T. (2002). Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. PAMI, 24(7).
43. Oliva, A. and Torralba, A. (2001). Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42.
44. Oliveira, G. L., Nascimento, E. R., Viera, A. W., and Campos, M. F. M. (2012). Sparse spatial coding: A novel approach for efficient and accurate object recognition. ICRA' 12.
45. Paris, S. and Glotin, H. (2010). Pyramidal multi-level features for the robot vision@icpr 2010 challenge. In ICPR' 10.
46. Perronnin, F., Sánchez, J., and Mensink, T. Improving the fisher kernel for large-scale image classification. In ECCV' 10.
47. Sadat, R. M. N., Teng, S. W., Lu, G., and Hasan, S. F. (2011). Texture classification using multimodal invariant local binary pattern. In WACV '11.
48. Shalev-Shwartz, S., Singer, Y., Srebro, N., and Cotter, A. (2007). Pegasos: Primal estimated sub-gradient solver for svm.
49. Sohn, K., Jung, D. Y., Lee, H., and Hero III, A. O. (2011). Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition. ICCV' 11.
50. Tan, X. and Triggs, B. (2010). Enhanced local texture feature sets for face recognition under difficult lighting conditions. Trans. Img. Proc., 19(6):1635-1650.
51. Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society (Series B), 58.
52. Todorovic, S. and Ahuja, N. (2008). Learning subcategory relevances for category recognition. In CVPR' 08.
53. Viola, P. and Jones, M. (2004). Robust real-time face detection. International Journal of Computer Vision, 57.
54. Welinder, P., Branson, S., Mita, T., Wah, C., Schroff, F., Belongie, S., and Perona, P. (2010). Caltech-UCSD Birds 200. Technical Report CNS-TR-2010-001, California Institute of Technology.
55. Willamowski, J., Arregui, D., Csurka, G., Dance, C. R., and Fan, L. (2004). Categorizing nine visual classes using local appearance descriptors. In ICPR' 04.
56. Wu, J., Geyer, C., and Rehg, J. M. (2011). Real-time human detection using contour cues. In ICRA' 11.
57. Wu, J. and Rehg, J. (2009). Beyond the euclidean distance: Creating effective visual codebooks using the histogram intersection kernel. In ICCV' 09.
58. Wu, J. and Rehg, J. M. (2008). Where am i: Place instance and category recognition using spatial pact. CVPR' 2008.
59. Yang, J., Li, Y., Tian, Y., Duan, L., and Gao, W. (2009a). Group-sensitive multiple kernel learning for object categorization. In ICCV' 09.
60. Yang, J., Yu, K., Gong, Y., and Huang, T. S. (2009b). Linear spatial pyramid matching using sparse coding for image classification. In CVPR' 09.
61. Yao, B. and Bradski, G. (2012). A Codebook-Free and Annotation-Free Approach for Fine-Grained Image Categorization. In CVPR' 12.
62. Yao, B., Khosla, A., and Li, F.-F. (2011). Combining randomization and discrimination for fine-grained image categorization. In CVPR' 11.
63. Zhang, B., Gao, Y., Zhao, S., and Liu, J. (2010). Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor. IEEE Trans. Img. Proc., 19(2).
64. Zhang, L., Chu, R., Xiang, S., Liao, S., and Li, S. Z. (2007). Face detection based on multi-block lbp representation. In ICB' 07.
65. Zhang, W., Shan, S., Qing, L., Chen, X., and Gao, W. (2009). Are gabor phases really useless for face recognition? Pattern Anal. Appl., 12(3):301-307.
66. Zheng, Y., Shen, C., Hartley, R. I., and Huang, X. (2010). Effective pedestrian detection using center-symmetric local binary/trinary patterns. CoRR, abs/1009.0892.