[1]
|
D. G. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints,” International Journal on Computer Vision, Vol. 60, No. 2, 2004, pp. 91-110. doi:10.1023/B:VISI. 0000029664.99615.94
|
[2]
|
J. Willamowski, D. Arregui, G. Csurka, C. R. Dance and L. Fan, “Categorizing Nine Visual Classes Using Local Appearance Descriptors,” International Conference on Pattern Recognition, Cambridge, 2004.
|
[3]
|
L. Fei-Fei and P. Perona, “A Bayesian Hierarchical Model for Learning Natural Scene Categories,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, 20-25 June 2005, pp. 524-531.
|
[4]
|
S. Lazebnik, C. Schmid and J. Ponce, “Beyond Bags of Features: Spatial Py-ramid Matching for Recognizing Natural Scene Categories,” Proceedings of Computer Vision and Pattern Recognition, IEEE, New York, 2006, pp. 2169-2178.
|
[5]
|
A. Vailaya, H.-J. Zhang, C. Yang, F.-I. Liu and A. K. Jain, “Automatic Image Orientation Detection,” IEEE Transactions on Image Processing, Vol. 11, No. 7, 2002, pp. 746-755. doi:10.1109/TIP.2002.801590
|
[6]
|
Y. Wang and H. Zhang, “Content-Based Image Orientation Detection with Support Vector Machines,” Proceedings of IEEE Workshop on Con-tent-Based Access of Image and Video Libraries, IEEE, New York, 2001, pp. 17-23. doi:10.1109/IVL.2001.990851
|
[7]
|
Y. M. Wang and H.-J. Zhang, “Detecting Image Orientation Based on Low-Level Visual Content,” Computer Vision and Image Understanding, Vol. 93, No. 3, 2004, pp. 328-346. doi:10.1016/j.cviu.2003.10.006
|
[8]
|
E. Tolstaya, “Con-tent-Based Image Orientation Recognition,” GraphiCon, Mos-cow, June 23-27 2007.
|
[9]
|
S. Lyu, “Automatic Image Orien-tation Detection with Natural Image Statistics,” Proceedings of 13th International Multimedia Conference, Singapore, 6-11 November 2005, pp. 491-494. doi:10.1145/1101149.1101259
|
[10]
|
S. Baluja, “Automated Image-Orientation Detection: A Scalable Boosting Approach,” Pattern Analysis and Applications, Vol. 10, No. 3, 2007, pp. 247-263. doi:10. 1007/s10044-006-0059-1
|
[11]
|
S. Baluja and H. A. Rowley, “Large Scale Performance Measurement of Content-Based Automated Image- Orientation Detection,” Proceedings of International Conference on Image Processing, Vol. 2, 2005, pp. 514-517.
|
[12]
|
H. Le Borgne and N. E. Oconnor, “Pre-Classification for Automatic Image Orientation,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Tou Louse, 14-19 May 2006, pp. 125-128 doi:10.1109/ICASSP.2006. 1660295
|
[13]
|
J. Huang, S. R. Kumar, M. Mitra, W.-J. Zhu and R. Zabih, “Image Indexing Using Color Correlograms,” IEEE Computer Vision and Pattern Recognition, San Juan, 1997, pp. 762-768.
|
[14]
|
B. Scholkopf and A. J. Smola, “Learning with Kernels : Support Vector Machines, Regularization, Optimization, and Beyond,” The MIT Press, Cambridge, 2001.
|
[15]
|
C.-C. Chang and C.-J. Lin, “LIBSVM: A Library for Support Vector Machines,” 2001, http://www.csie,ntu.edu. tw/~cjlin/libsvm
|
[16]
|
F. Crow, “Summed Area Tables for Texture Mapping,” Proceedings of Special Interest Group in Graphics, ACM, Minneapolis, 1984, pp. 207-212.
|
[17]
|
Y. Freund and R. E. Schapire, “A Short Introduction to Boosting,” Journal of Japanese Society of Artificial Intelligence, Vol. 14, No. 5, 1999, pp. 771-780.
|
[18]
|
R. Kohavi, “A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection,” Proceedings of 15th International Joint Conference on Artificial Intelligence, Nagoya, 23-29 August 1997, pp. 1137-1143.
|
[19]
|
A. Oliva and A. Toralba, “Modeling the Shape of the Scene : A Holistic Representation of the Spatial Envelope,” International Journal on Computer Vision, Vol. 42, No. 3, 2001, pp. 145-175. doi:10.1023/A:1011139631724
|