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Issue No.03 - July-September (2009 vol.16)
pp: 48-59
Attila Licsàr , University of Pannonia
Tamàs Szirànyi , Computer and Automation Research Institute of the Hungarian Academy of Sciences
Làszlò Kovàcs , Computer and Automation Research Institute of the Hungarian Academy of Sciences
Balàzs Pataki , Computer and Automation Research Institute of the Hungarian Academy of Sciences
ABSTRACT
<p>This article describes how a folk song retrieval system uses a gesture-based interface to recognize Kod&#x00E1;ly hand signs and formulate search queries.</p>
INDEX TERMS
digital archive, Web-based information search and retrieval, computer vision, vision-based hand-gesture recognition, multimedia and graphics
CITATION
Attila Licsàr, Tamàs Szirànyi, Làszlò Kovàcs, Balàzs Pataki, "A Folk Song Retrieval System with a Gesture-Based Interface", IEEE MultiMedia, vol.16, no. 3, pp. 48-59, July-September 2009, doi:10.1109/MMUL.2009.41
REFERENCES
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2. J.J. Garrett, Ajax: A New Approach to Web Applications, Adaptive Path, 2005; http://www.adaptivepath.com/ideas/essays/ archives000385.php.
3. D. Parsons, The Directory of Tunes and Musical Themes, Spencer Brown, 1991.
4. A. Apostolico, Z. Galil, and A. Apostolico, Pattern Matching Algorithms, Oxford Univ. Press, 1997, p. 337.
5. H. Lee and J. Kim, "An HMM Based Threshold Model Approach for Gesture Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 10, 1999, pp. 961-973.
6. K.R. Müller et al., "An Introduction to Kernel Based Learning Algorithms," IEEE Trans. Neural Networks, vol. 12, no. 2, 2001, pp. 181-201.
7. B.K.P. Horn, Robot Vision, MIT Press, 1986.
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