TY - GEN
T1 - Video analysis via nonlinear dimensionality reduction
AU - Pardo, Alvaro
PY - 2007
Y1 - 2007
N2 - In this work we present an application of nonlinear dimensionality reduction techniques for video analysis. We review several methods for dimensionality reduction and then concentrate on the study of Diffusion Maps. First we show how diffusion maps can be applied to video analysis. For that end we study how to select the values of the parameters involved. This is crucial as a bad parameter selection produces misleading results. Using color histograms as features we present several results on how to use diffusion maps for video analysis.
AB - In this work we present an application of nonlinear dimensionality reduction techniques for video analysis. We review several methods for dimensionality reduction and then concentrate on the study of Diffusion Maps. First we show how diffusion maps can be applied to video analysis. For that end we study how to select the values of the parameters involved. This is crucial as a bad parameter selection produces misleading results. Using color histograms as features we present several results on how to use diffusion maps for video analysis.
KW - Dimensionality reduction
KW - Video analysis
UR - http://www.scopus.com/inward/record.url?scp=38449092400&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:38449092400
SN - 9783540767244
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 152
EP - 161
BT - Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings
T2 - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007
Y2 - 13 November 2007 through 16 November 2007
ER -