Classification and indexing of paintings based on art movements

European Signal Processing Conference

Volumn 06-10-September-2004, Issue , 2015, Pages 749-752

  Icoglu, Oguz ^a,b   Gunsel, Bilge ^a   Sariel, Sanem ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

EXHIBITION BUILDINGS; EXHIBITIONS; INDEXING (OF INFORMATION); NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; QUERY PROCESSING; SEARCH ENGINES;

AUTOMATIC EXTRACTION; CLASSIFICATION ACCURACY; CLASSIFIER DESIGN; DATABASE SEARCHES; FALSE ALARM RATIO; FEATURE VECTORS; STATISTICAL PATTERN RECOGNITION APPROACH; SVM CLASSIFIERS;

SIGNAL PROCESSING;

EID: 84979936658     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. F. Nack, M. Windhouwer, L. Hardman, E. Pauwels, M. Huijberts, 'The Role of High-level and Low-level Features in Style-based Retrieval and Generation of Multimedia Presentations", Future Directions for Intelligent Systems and Information Sciences, Part IT (edited by N. Kasabov), Springer-Verlag 2000, ISBN 3790812765.
2. H. Jaap van den Herik and Eric O. Postma, "Discovering the visual signature of painters" The New Review of Hypermedia and Multimedia, Volume 7, 2001.
3. S. Tansug, "History of Artistic Paintings", Remzi Printhouse, Istanbul Turkey, 1996, ISBN 9741402212.
4. C. l Burges, "A Tutorial on Support Vector Machines for Pattern Recognition, " Data Mining Knowledge Discovery, vol. 2. pp. 121-167, 1998.
5. Web Museum-Paris, http://www. ibiblio. orglwm.
6. Chih-Chung Chang and Chih-Jen Lin, LlBSVM : a library for support vector machines, 2001. Software available at http://www. csie. ntu. edu. tw/cjlin/libsvm.