Feature selection for scene categorization using support vector machines

Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008

Volumn 1, Issue , 2008, Pages 588-592

  Devendran, V ^a   Thiagarajan, Hemalatha ^b   Santra, A K ^a   Wahi, Amitabh ^a  

^a BANNARI AMMAN INSTITUTE OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Gray level co occurrence matrix; Invariant moments; Scene categorization; Support vector machine and wavelet features

Indexed keywords

CLASSIFICATION (OF INFORMATION); GEARS; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; INFORMATION THEORY; KETONES; LANDFORMS; LEARNING SYSTEMS; METHOD OF MOMENTS; MULTILAYER NEURAL NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; VECTORS;

DATA SETS; EXTRACTION METHODS; FEATURE SELECTION; GRAY LEVEL CO-OCCURRENCE MATRIX; HUMAN VISION; INTERNATIONAL CONGRESSES; INVARIANT MOMENTS; RADIAL BASIS; REAL-WORLD; RESEARCH COMMUNITIES; SCENE CATEGORIZATION; SCENE CLASSIFICATION; SUPPORT VECTOR MACHINE AND WAVELET FEATURES; WAVELET FEATURES;

FEATURE EXTRACTION;

EID: 51849097274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.579     Document Type: Conference Paper

References (18)

1. A. Guerin-Dugue and A. Oliva, "Classification of scene photographs from local orientations features", Pattern Recognition Letters 21 (2000) 1135-1140.
2. A. Chella, M. Frixione and S. Gaglio, "Understanding dynamic scenes", Artificial Intelligence 123 (2000) 89-132.
3. Ilkka Autio and Tapio Elomaa. "Flexible view recognition for indoor navigation based on Gabor filter and support vector machines", Pattern Recognition 36 (2003) 2769-2779.
4. Delorme. G. Richard, M. Fabre-Thorpe, "Rapid processing of complex natural scenes: A role for the magnocellular visual pathways?", Neurocomputing 26-27 (1999) 663-670.
5. Sameer Singh, John Haddon, Markos Markou, "Nearest-neighbour classi"ers in natural scene analysis". Pattern Recognition 34 (2001) 1601}1612.
6. Laura Walker Renninger a.*,. Titendra Malik, "When is scene identification just texture recognition?", Vision Research 44 (2004) 2301-2311.
7. Florica Mindru and et al., "Moment invariants for recognition under changing viewpoint and illumination". Computer Vision and Image understanding 94 (2004) 3-27.
8. Matti Pietikainen, Tomi Nurmela, Topi Maenpaa, Markus Turtinen, "View-based recognition of real-world textures", Pattern Recognition 37 (2004) 313-323.
9. Matthew Boutell and Jiebo Luo, "Beyond pixels: Exploiting camera metadata for photo classification", Pattern Recognition 38 (2005) 935-946.
10. Andrew Payne and Sameer Singh, "Indoor vs. outdoor scene classification in digital photographs". Pattern Recognition 38 (2005) 1533-1545.
11. Ian Stefan Martin, "Robust Learning and Segmentation for scene Understanding", PhD Thesis. Dept. of Electrical Engineering and Computer science, Massachusetts Institute of Technology. May 2005.
12. Mohamed Rizon, et al., "Object Detection using Geometric Invariant Moment", American Journal of Applied Sciences 2(6): 1876-1878, 2006.
13. Anna Bosch, Xavier Munoz and Robert Marti, "Which is the best way to organize/classify images by content?", Image and vision computing 25 (2007) 778-791.
14. Andrew Hollingworth, "Scene and Position Specificity in Visual Memory for Objects", Journal of Experimental Psychology: Learning, Memory, and Cognition 2006, Vol. 32, No. 1, 58-69.
15. Hu, M.K., "Visual pattern recognition by moments invariants". IRE Trans. Information Theory, 8: 179-187, 1962.
16. Vapnik, V.N., "The support vector method of function estimation. In: Generalization in Neural Network and Machine Learning. Springer-Verlag, New York, NY, pp. 239-268, 1998.
17. Burges, C.J.C., "A tutorial on support vector machines for pattern recognition", data mining and knowledge discovery 2(2), 121-167, 1998. Available from http://svm.first.gmd.de
18. www-cvr.ai.uiuc.edu/ponce_grp/data