Wbmmsc: Supervised Classification Procedure of Textures Image Extraction
 |
International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-47 Number-2 |
||
| Year of Publication : 2017 | ||
| Authors : Dr. Pratik Gite, Udit Gupta, Aditya Acharya | ||
| DOI : 10.14445/22312803/IJCTT-V47P114 |
Dr. Pratik Gite, Udit Gupta, Aditya Acharya "Wbmmsc: Supervised Classification Procedure of Textures Image Extraction". International Journal of Computer Trends and Technology (IJCTT) V47(2):101-105, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
In this paper we proposed a narrative image illustration based on the inference of the multivariate Gaussian distribution of the SIFT descriptors; take out with impenetrable sampling on a spatial pyramid. Every distribution is rehabilitated to a high-dimensional descriptor, by concatenating the mean vector and the protuberance of the covariance matrix on the Euclidean space digression to the Riemannian manifold. In this research consequence illustrate promising performance. Our proposed Waveletbased multivariate models in supervised classification (WBMMSC) experiments using natural texture images divulge that the spectral histogram depiction present a robust characteristic statistic for textures and simplify well. Evaluation illustrate that our technique produce a marked enhancement in classification performance.
References
[1] Zhang, C., Wang, S., Liang, C., Liu, J., Huang, Q., Li, H., Tian, Q.: Beyond bag of words: image representation in sub-semantic space. In: Jaimes, A., Sebe, N., Boujemaa, N., Gatica-Perez, D., Shamma, D.A., Worring, M., Zimmermann, R. (eds.) ACM Multimedia. pp. 497–500. ACM (2013)
[2] Viitaniemi, V., Laaksonen, J.: Experiments on selection of codebooks for local image feature histograms. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds.) VISUAL. Lecture Notes in Computer Science, vol. 5188, pp. 126–137. Springer (2008)
[3] Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., Gong, Y.: Locality-constrained linear coding for image classification. In: Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. pp. 3360–3367 (2010)
[4] C. C. Loy, T. Xiang, and S. Gong. Time-delayed correlation analysis for multi-camera activity understanding. International Journal of Computer Vision, 90(1):106–129, 2010. 5, 6
[5] B. Ma, Q. Li, and H. Chang. Gaussian descriptor based on local features for person re-identification. In Asian Conference on Computer Vision (ACCV) Workshop, pages 505–518, 2014. 1, 2, 3, 6
[6] B. Ma, Y. Su, and F. Jurie. Local descriptors encoded by Fisher vectors for person re-identification. In European Conference on Computer Vision (ECCV) Workshop, pages 413– 422, 2012. 1, 2, 6, 7
[7] B. Ma, Y. Su, and F. Jurie. Covariance descriptor based on bio-inspired features for person re-identification and faceverification. Image and Vision Computing, 32(6):379– 390, 2014. 1, 7, 8
[8]S. G. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674–693, 1989.
[9] S. K. Choy and C. S. Tong, “Statistical wavelet subband characterization based on generalized gamma density and its application in texture retrieval,” IEEE Transactions on Image Processing, vol. 19, no. 2, pp. 281–289, 2010.
[10] G. Verdoolaege, S. De Backer, and P. Scheunders, “Multiscale colour texture retrieval using the geodesic distance between multivariate generalized Gaussian models,” in 2008 IEEE International Conference on Image Processing (ICIP). IEEE, 2008, pp. 169–172
[11] H. Nakayama, T. Harada, and Y. Kuniyoshi. Global Gaussian approach for scene categorization using information geometry. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2336– 2343, 2010. 2
[12] S. Paisitkriangkrai, C. Shen, and A. van den Hengel. Learning to rank in person re-identification with metric ensembles. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1846–1855, 2015. 2, 6, 7, 8
[13] S. Pedagadi, J. Orwell, S. A. Velastin, and B. A. Boghossian. Local Fisher discriminant analysis for pedestrian reidentification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3318–3325, 2013. 1, 2.
Keywords
SIFT, WBMMSC, Riemannian manifold , SCM , GGC.