Multimedia Analysis by Learning
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| Publication date | 2007 |
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| Book title | Multimedia Content Analysis and Mining |
| Book subtitle | International Workshop, MCAM 2007, Weihai, China, June 30-July 1, 2007 : proceedings |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Pages (from-to) | 1-4 |
| Publisher | Berlin: Springer |
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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.
Copyright information About this paper |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-540-73417-8_1 |
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