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Multimedia Analysis by Learning.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Sebe, Nicu
Yuncai Liu
Yueting Zhuang
Huang, Thomas S.
Smeulders, Arnold W. M.
Source :
Multimedia Content Analysis & Mining; 2007, p1-4, 4p
Publication Year :
2007

Abstract

In this presentation for the panel at MCAM07, I put forward the transition of modeling the world as was done on a large scale in computer vision before the year 2000, to the current situation where there have been considerable successes with multimedia analysis by learning from the world. We make a plead for the last type of learned features, modeling only the scene accidental conditions and learning the object or object class intrinsic properties. In this paper, in respect to contributions by many others, we illustrate the approach of learning features by papers from our lab at the University of Amsterdam. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540734161
Database :
Complementary Index
Journal :
Multimedia Content Analysis & Mining
Publication Type :
Book
Accession number :
33041276
Full Text :
https://doi.org/10.1007/978-3-540-73417-8_1