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Multimedia Analysis by Learning

机译:通过学习进行多媒体分析

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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.
机译:在MCAM07的小组的演示文稿中,我提出了在2000年之前在计算机愿景中进行了大规模的建模的转型,以便通过从中学习具有相当成功的现状,从而获得了多媒体分析世界。我们对最后一种类型的学习功能提出了恳求,仅供场景意外情况,并学习对象或对象类内部属性。在本文中,就许多其他人的贡献,我们说明了来自阿姆斯特丹大学的实验室的论文学习功能的方法。

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