Scene classification based on multi-resolution orientation histogram of gabor features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5008 LNCS, Issue , 2008, Pages 291-301

  Hotta, Kazuhiro ^a  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATABASE SYSTEMS; IMAGE CLASSIFICATION; SUPPORT VECTOR MACHINES;

GABOR FEATURES; MIDDLE SIZE FEATURES; SCENE CLASSIFICATION;

FEATURE EXTRACTION;

EID: 44649094525     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79547-6_28     Document Type: Conference Paper

References (23)

1. Torralba, A.: Contextual priming for object detection. International Journal of Computer Vision 53(2), 169-191 (2003)
2. Szummer, M., Picard, R.W.: Indoor-outdoor image classification. In: Proc. IEEE International Workshop on Content-based Access of Image and Video Databases, pp. 42-51 (1998)
3. Fei-Fei, L., Perona, P.: A baysian hierarchical model for learning natural scene categories. In: Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 524-531 (2005)
4. Bosch, A., Zisserman, A., Munoz, X.: Scene classification via plsa. In: Proc. 9th European Conference on Computer Vision, pp. 517-530 (2006)
5. Torralba, A., Murphy, K.P., Freeman, W.T., Rubin, M.A.: Context-based vision system for place and object recognition. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 273-280 (2003)
6. Lowe, D.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2). 91-110 (2004)
7. Dalal, N., Trigs, B.: Histogram of oriented gradients for human detection. In: Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 886-893 (2005)
8. Grauman, K., Darrell, T.: Discriminative classification with sets of image features. In: Proc. International Conference on Computer Vision, pp. 1458-1465 (2005)
9. Lazebnik, S., Schmid, C., Ponce. J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2169-2178 (2006)
10. Vapnik, V.N.: Statistical Learning Theory. John Wiley, Chichester (1998)
11. Debnath, R., Takahashi, H.: Kernel selection for the support vector machine. IEICE Trans. Info. & Syst. E87-D(12). 2903-2904 (2004)
12. Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge (2004)
13. Hotta, K.: Support vector machine with local summation kernel for robust face recognition. In: Proc. 17th International Conference on Pattern Recognition, pp. 482-485 (2004)
14. Hotta. K.: View independent face detection based on combination of local and global kernels. In: Proc. International Conference on Computer Vision Systems, pp. 1-10 (2007)
15. 13 Scene categories database, http://vision.cs.princeton.edu/Databsets/ SceneClass13.rar
16. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)
17. Haussler, D.: Convolution kernels on discrete structures. Tech. Rep. UCSC-CRL-99-10 (1999)
18. Hotta, K.: A robust face detector under partial occlusion. In: Proc. IEEE International Conference on Image Processing, pp. 597-600 (2004)
19. Pontil, M., Verri, A.: Support vector machines for 3d object recognition. IEEE Trans. Pattern Analysis and Machine Intelligence 20(6), 637-646 (1998)
20. Schölkopf, B., Burges, C.J.C., Smola, A.: Advances in kernel methods: support vector learning. MIT Press, Cambridge (1998)
21. Hsu, C.-W., Lin, C.-J.: A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Networks 13(2), 415-425 (2002)
22. Milgram, J., Cheriet, M., Sabourin, R.: One against one or one against all: Which one is better for handwriting recognition with svms? In: Proc. 10th International Workshop on Frontiers in Handwriting Recognition (2006)
23. Webb, A.: Statistical Pattern Recognition 2nd edition, Arnold (2002)