Multimedia analysis by learning

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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. © Springer-Verlag Berlin Heidelberg 2007.

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Smeulders, A. W. M. (2007). Multimedia analysis by learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4577 LNCS, pp. 1–4). Springer Verlag. https://doi.org/10.1007/978-3-540-73417-8_1

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