Accès libre

A Bio-Inspired Integration Method for Object Semantic Representation

   | 10 juin 2016
À propos de cet article

Citez

[1] G. Carneiro, A.B. Chan, P.J. Moreno, and placeN. Vasconcelos, Supervised learning of semantic classes for image annotation and retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence (2007) 394-410.10.1109/TPAMI.2007.61Search in Google Scholar

[2] J.H. Su, C.L. Chou, C.Y. Lin, and V.S. Tseng, Effective Semantic Annotation by Image-to-Concept Distribution Model. Multimedia, IEEE Transactions on 13 (2011) 530-538.Search in Google Scholar

[3] J. Fan, Y. Gao, H. Luo, and R. Jain, Mining multilevel image semantics via hierarchical classification. Multimedia, IEEE Transactions on 10 (2008) 167-187.Search in Google Scholar

[4] J.R.R. Uijlings, A.W.M. Smeulders, and R.J.H. Scha, Real-time visual concept classification. Multimedia, IEEE Transactions on 12 (2010) 665-681.Search in Google Scholar

[5] Y.G. Jiang, J. Yang, C.W. Ngo, and A.G. Hauptmann, Representations of keypoint-based semantic concept detection: A comprehensive study. Multimedia, IEEE Transactions on 12 (2010) 42-53.10.1109/TMM.2009.2036235Search in Google Scholar

[6] S. Edelman, Computational theories of object recognition. Trends in Cognitive Sciences 1 (1997) 296-304.10.1016/S1364-6613(97)01090-5Search in Google Scholar

[7] B.J. Stankiewicz, and J.E. Hummel, MetriCat: A representation for basic and subordinate-level classification, Lawrence Erlbaum, 1996, pp. 254.Search in Google Scholar

[8] I. Biederman, Recognition-by-components: A theory of human image understanding. Psychological review 94 (1987) 115.Search in Google Scholar

[9] E.I. Le Dong, A Topology Preserving Approach for Image Classification. (2007).10.1109/WIAMIS.2007.13Search in Google Scholar

[10] K. Engel, and K.D. Toennies, Hierarchical vibrations for part-based recognition of complex objects. Pattern Recognition 43 (2010) 2681-2691.Search in Google Scholar

[11] F. Chen, H. Yu, and R. Hu, Simultaneous variational image segmentation and object recognition via shape sparse representation, IEEE, pp. 3057-3060.Search in Google Scholar

[12] H. Liu, W. Liu, and L.J. Latecki, Convex shape decomposition. (2010).10.1109/CVPR.2010.5540225Search in Google Scholar

[13] Y. Li, and J. Feng, Sparse representation shape model, IEEE, pp. 2733-2736.Search in Google Scholar

[14] J. Vogel, and B. Schiele, Semantic modeling of natural scenes for content-based image retrieval. International Journal of Computer Vision 72 (2007) 133-157.Search in Google Scholar

[15] B. Peng, L. Zhang, D. Zhang, and J. Yang, Image segmentation by iterated region merging with localized graph cuts. Pattern Recognition 44 (10-11), 2527253810.1016/j.patcog.2011.03.024Search in Google Scholar

[16] C. Huang, Q. Liu, and S. Yu, Regions of interest extraction from color image based on visual saliency. The Journal of Supercomputing1-14.Search in Google Scholar

[17] K.S. Kim, M.J. Lee, J.W. Lee, T.W. Oh, and H.Y. Lee, Region-based tampering detection and recovery using homogeneity analysis in quality-sensitive imaging. Computer Vision and Image Understanding 115 (2011) 1308-1323.Search in Google Scholar

[18] R. Farrahi Moghaddam, and M. Cheriet, Beyond pixels and regions: A non local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images. Pattern Recognition 44 (2), 363-37410.1016/j.patcog.2010.07.027Search in Google Scholar

[19] C. Xiao, M. Liu, Y. Nie, and Z. Dong, Fast Exact Nearest Patch Matching for Patch-based Image Editing and Processing. IEEE Transactions on Visualization and Computer Graphics 17 (2011) 1122-1134Search in Google Scholar

[20] Z. Xu, and J. Sun, Image inpainting by patch propagation using patch sparsity. Image Processing, IEEE Transactions on 19 (2010) 1153-1165.Search in Google Scholar

[21] C.W. Fang, and J.J.J. Lien, Rapid image completion system using multiresolution patch-based directional and nondirectional approaches. Image Processing, IEEE Transactions on 18 (2009) 2769-2779.Search in Google Scholar

[22] H. Shvaytser, Learnable and nonlearnable visual concepts. Pattern Analysis and Machine Intelligence, IEEE Transactions on 12 (1990) 459-466.Search in Google Scholar

[23] P. Mylonas, E. Spyrou, Y. Avrithis, and S. Kollias, Using visual context and region semantics for highlevel concept detection. Multimedia, IEEE Transactions on 11 (2009) 229-243.Search in Google Scholar

[24] J.W. Hsieh, and W.E.L. Grimson, Spatial template extraction for image retrieval by region matching. Image Processing, IEEE Transactions on 12 (2003) 1404-1415.Search in Google Scholar

[25] D. Marr, and H.K. Nishihara, Representation and recognition of the spatial organization of threedimensional shapes. Proceedings of the Royal Society of London. Series B. Biological Sciences 200 (1978) 269.Search in Google Scholar

[26] J.T. Devlin, P.M. Matthews, and M.F.S. Rushworth, Semantic processing in the left inferior prefrontal cortex: a combined functional magnetic resonance imaging and transcranial magnetic stimulation study. Journal of Cognitive Neuroscience 15 (2003) 71-84.Search in Google Scholar

[27] J. Allman, F. Miezin, and E. McGuinness, Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for localglobal comparisons in visual neurons. Annual Review of Neuroscience 8 (1985) 407-430.Search in Google Scholar

[28] D.J. Heeger, Normalization of cell responses in cat striate cortex. Visual Neuroscience 9 (1992) 181-197.Search in Google Scholar

[29] X.L.I. YANG, F. GAO, and S.M. WU, Modulation of horizontal cell function by GABAA and GABAC receptors in dark-and light-adapted tiger salamander retina. Visual neuroscience 16 (1999) 967-979.Search in Google Scholar

[30] Q.F.L. Chaoyi, Mathematical simulation of disinhibitory properties of concentric receptive field [J]. Acta Biophysica Sinica 11 (1995) 214-220.Search in Google Scholar

[31] D. Fitzpatrick, Seeing beyond the receptive field in primary visual cortex. Current Opinion in Neurobiology 10 (2000) 438-443.Search in Google Scholar

[32] A.M. Sillito, K.L. Grieve, H.E. Jones, J. Cudeiro, and J. Davis, Visual cortical mechanisms detecting focal orientation discontinuities. Nature 378 (1995) 492-496.Search in Google Scholar

[33] H.R. Wilson, and R. Humanski, Spatial frequency adaptation and contrast gain control. Vision Research 33 (1993) 1133-1149.Search in Google Scholar

[34] G. Krieger, and C. Zetzsche, Nonlinear image operators for the evaluation of local intrinsic dimensionality. IEEE Transactions On Image Processing 5 (1996), 1026-1042.Search in Google Scholar

[35] Hui Wei, X-M Wang, L.L.Lai, A Compact Image Representation Model Based on Both nCRF and Reverse Control Mechanisms. IEEE Transactions on Neural Network and Learning Systems, Vol.23 (1), (2012), 150-162.10.1109/TNNLS.2011.217847224808464Search in Google Scholar

[36] Hui Wei, X-M Wang, A Neural Circuit Model for nCRF’s Dynamic Adjustment and its Application on Image Representation, 2011 International Joint Conference on Neural Networks, San Jose, California , July 31 - August 5, (2011), 421-429.10.1109/IJCNN.2011.6033252Search in Google Scholar

[37] J. Fan, Y. Gao, H. Luo, and R. Jain, Mining multilevel image semantics via hierarchical classification. Multimedia, IEEE Transactions on 10 (2008) 167-187.Search in Google Scholar

[38] X.F. Ren, and J. Malik, Learning a classification model for segmentation. Ninth IEEE International Conference on Computer Vision, Vols I and II, Proceedings (2003) 10-17.10.1109/ICCV.2003.1238308Search in Google Scholar

[39] A. Levinshtein, A. Stere, K.N. Kutulakos, D.J. Fleet, S.J. Dickinson, and K. Siddiqi, TurboPixels: Fast Superpixels Using Geometric Flows. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009) 2290-2297.10.1109/TPAMI.2009.9619834148Search in Google Scholar

[40] G. Mori, Guiding model search using segmentation, Computer Vision, 2005. ICCV 2005, (2005), pp. 1417-1423 Vol. 2.Search in Google Scholar

[41] S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence (2002) 509-522.10.1109/34.993558Search in Google Scholar

[42] P. Arbelez, M. Maire, C. Fowlkes, and J. Malik, Contour detection and hierarchical image segmentation. IEEE transactions on pattern analysis and machine intelligence (2010) 898-916.10.1109/TPAMI.2010.16120733228Search in Google Scholar

[43] S. GAP, Visual-Concept Search Solved?. Computer 43 (2010) 76-78Search in Google Scholar

[44] J. Luo, A.E. Savakis, and A. Singhal, A Bayesian network-based framework for semantic image understanding. Pattern Recognition 38 (2005) 919-934.Search in Google Scholar

[45] S.J. Russell, P. Norvig, J.F. Canny, J.M. Malik, and D.D. Edwards, Artificial intelligence: a modern approach, Prentice hall Englewood Cliffs, NJ, (1995).Search in Google Scholar

[46] X.Wang, and H.Wei, An Integration Model Based on Non-classical Receptive Fields, Springer, (2009), pp. 451-459.Search in Google Scholar

[47] H.Wei, A Homogenous Associative Memory Neural Network Based on Structure Learning and Iterative Self-Mapping. Journal of Software Vol.13 (3) (2002) 438-446.Search in Google Scholar

[48] Serge Belongie, Jitendra Malik, Jan Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24, No.24, (2002), 509-52210.1109/34.993558Search in Google Scholar

eISSN:
2083-2567
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Computer Sciences, Artificial Intelligence, Databases and Data Mining