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We describe a framework for human action retrieval in still web images by verb queries, for instance “phoning”. Firstly, we build a group of visual discriminative instances for each action class, called “Exemplarlets”. Thereafter we employ Multiple Kernel Learning (MKL) to learn an optimal combination of histogram intersection kernels, each of which captures a state-of-the-art feature channel. Our...
We consider the problem of generating concise sentences to describe still pictures automatically. We treat objects in images (nouns in sentences) as hidden information of actions (verbs). Therefore, the sentence generation problem can be transformed into action detection and scene classification problems. We employ Latent Multiple Kernel Learning (L-MKL) to learn the action detectors from “Exemplarlets”,...
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