References - Multimedia Database Retrieval: Technology and Applications - page 331

62. Torjmen, M., Pinel-Sauvagnat, K., Boughanem, M.: Using pseudo-relevance feedback
to improve image retrieval results. Workshop of the Cross-Language Evaluation Forum
(Budapest, Hungary) 665-673 (2007)
63. El Demerdash, O., Kosseim, L., Bergler, S.: Image retrieval by inter-media fusion and pseudo-
relevance feedback. Workshop of the Cross-Language Evaluation Forum (Aarhus, Denmark)
605-611 (2008)
64. Maillot, N., Chevallet, J. P., Valea, V., Lim, J. H.: IPAL inter-media pseudo-relevance
feedback approach to Image CLEF 2006 photo retrieval. Workshop of the Cross-Language
Evaluation Forum (Alicante, Spain) (2006)
65. Deselaers, T., Keysers, D., Ney, H.: Fire-flexible image retrieval engine: Image- CLEF 2004
evaluation. Multilingual Information Access for Text, Speech and Images Workshop, Springer
688-698 (2004)
66. He, R., Zhu, Y., Zhan, W.: Using local latent semantic indexing with pseudo relevance
feedback in web image retrieval. International Joint Conference on INC, IMS, and IDC
(Seoul, South Korea) 1354-1357 (2009)
67. El Demerdash, O., Bergler, S., Kosseim, L.: Image query expansion using semantic selectional
restrictions. Workshop of the Cross-Language Evaluation Forum (Corfu, Greece) 150-156
(2009)
68. Kong, H., Guan, L.: Detection and removal of impulse noise by a neural network guided
adaptive median filter. Proc. IEEE Int. Conf. on Neural Networks (Perth, Australia) 845-849
(1995)
69. Kong, H. S.: The Self-Organising Tree Map, and its Applications in Digital Image Processing.
PhD Thesis, University of Sydney, Australia (1998)
70. Randall, J., Guan, L., Zhang, X., Li, W.: Investigations of the self-organizing tree map. Proc.
Of Int. Conf. on Neural Information Processing, November 2 724-728 (1999)
71. Randall, J., Guan, L., Zhang, X., Li, W.: Hierarchical cluster model for perceptual image
processing. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing 1 1041-1044
(2002)
72. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biological
cybernetics 43 59-69 (1982)
73. Corel Gallery Magic 65000. http://www.corel.com.Cited15Jan1999
74. Chen, Q., Petriu, E., Yang, X.: A comparative study of Fourier descriptors and Hu's seven
moment invariants for image recognition. IEEE Canadian Conference on Electrical and
Computer Engineering (Niagara Falls, Canada) 103-106 (2004)
75. Jarrah, K., Kyan, M., Krishnan, S., Guan, L.: Computational intelligence techniques and their
applications in content-based image retrieval. IEEE International Conference on Multimedia
and Expo (Toronto, Canada) 33-36 (2006)
76. Lay, J.A., Guan, L.: Image retrieval based on energy histogram of the low frequency DCT
coefficients. IEEE Int. Conf. on Accoustic Speech and Signal Processing (Phoenix, USA)
3009-3012 (1999)
77. Xiong, Z., Huang, T. S.: Subband-based, memory-efficient JPEG2000 images indexing in
compressed-domain. IEEE Southwest Symposium on Image Analysis and Interpretation
(Santa Fe, USA) (2002)
78. Sim, D.-G., Kim, H.-K., Park, R.-H.: Fast texture description and retrieval of DCT-based
compressed images. IEEE Electronic Letters 37 18-19 (2001)
79. Bhalod, J., Fahmy, G. F., Panchanathan, S.: Region based indexing in the JPEG2000
framework. Int. Workshop on Content-based Multimedia Indexing (Brescia, Italy) (2001)
80. ISO/IEC, ISO/IEC 14496-2:1999: Information technology: coding of audio-visual objects -
Part 1: visual (1999)
81. ISO/IEC JTC 1/SC 29/WG 1, ISO/IEC FDIS 15444-1: information technology: JPEG 2000
image coding system: core coding system [WG 1 N 1890] (2000)
82. Said, A., Pearlman, W. A.: A new and efficient image codec based on set partitioning in
hierarchical trees,. IEEE Trans. Circuits Systems Video Technol. 6 243-250 (1996)