1 |
H. Nezamabadi-pour and E. Kabir, “Image retrieval using histograms of uni-color and bi-color blocks and directional changes in intensity gradient,” Pattern Recognition Letters, Vol.25, No.14, pp.1547-1557, 2004
DOI
ScienceOn
|
2 |
G. Paschos, I. Radev and N. Prabakar, “Image content-based retrieval using chromaticity moments,” IEEE Transactions on Knowledge and Data Engineering, Vol.15, No.5, pp.1069-1072, 2003
DOI
ScienceOn
|
3 |
M. Stricker and M. Swain, “The Capacity of Color Histogram Indexing,” Proceedings of Computer Vision and Pattern Recognition, 21-23 June, pp.704-708, 1994
DOI
|
4 |
O. Chapelle, P. Haffner and V. N. Vapnik, “Support vector machines for histogram-based image classification,” IEEE Transactions on Neural Networks, Vol.10, No.5, pp.1055-1064, 1999
DOI
ScienceOn
|
5 |
H. Inoue, L. Mingzhe and S. Kamijo, “Vehicle segmentation by edge classification method and the S-T MRF model,” Proc. of IEEE International Conference on Systems, Man and Cybernetics 2006, Vol.1, 2006, pp.370-376
|
6 |
Z. –F. Liu and Z. You, “A real-time vision-based vehicle tracking and traffic surveillance,” Proc. of 8th ACIS International Conference on SNPD 2007, Vol.1, 2007, pp.174-179
|
7 |
R. C. Gonzalez and R. E. Woods, Digital image processing, ed., 2002
|
8 |
R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification, ed., 2001
|
9 |
http://www.cs.cornell.edu/People/tj/svm_light/svm_multiclass.html
|
10 |
S. D. Buluswar and B. A. Draper, “Color machine vision for autonomous vehicles,” Engineering Applications of Artificial Intelligence, Vol.11, No.2, pp.245-256, 1998
DOI
ScienceOn
|
11 |
G. Qiu, X. Feng and J. Fang, “Compressing histogram representations for automatic colour photo categorization,” Pattern Recognition, Vol.37, No.11, November 2004, pp. 2177-2193
DOI
ScienceOn
|
12 |
S. D. Buluswar and B. A. Draper, “Color models for outdoor machine vision,” Computer Vision and Image Understanding, Vol.85, No.2, pp.71-99, 2002
DOI
ScienceOn
|
13 |
T. Gevers and H. Stokman, “Robust Histogram Construction from Color Invariants for Object Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.26, No.1, pp.113-117, 2004
DOI
ScienceOn
|
14 |
A. H. H. Ngu, Q. Z. Sheng, D. Q. Huynh and R. Lei, “Combining multi-visual features for efficient indexing in a large image database,” The VLDB Journal, Vol.9, No.4, 2001, pp.279-293
|
15 |
S. Sural, G. Qian and S. Pramanik, “Segmentation and histogram generation using the HSV color space for image retrieval,” Proc. of IEEE International Conference on Image Processing, Vol.2, pp.589-592, 2002
DOI
|
16 |
J. R. Smith and S.-F. Chang, “Tools and techniques for color image retrieval,” Storage and Retrieval for Image and Video Databases IV, Vo. 2670 of IS&T/SPIE Proceedings, pp.426-437, 1996
|
17 |
M. J. Swain and D. H. Ballard, “Color Indexing,” International Journal of Computer Vision, Vol. 7, No. 1, pp.11-32, 1991
DOI
|
18 |
J. –W. Lee and I. –S. Kweon, “Vehicle segmentation using evidential reasoning,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol.2, 1997, pp.880-885
DOI
|
19 |
Y. Rui, T. S. Huang and S.-F. Chang, “Image retrieval: Current techniques, promising directions and open issues,” Journal of Visual Communication and Image Representation, Vol.10, No.4, pp.39-62, 1999
DOI
ScienceOn
|
20 |
P. Chang and J. Krumm, “Object recognition with color cooccurrence histograms,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, CO, June 23-25, 1999
|