Masatoshi Hidaka

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We give details of our methods in the ImageCLEF 2013 Scal-able Concept Image Annotation task. For the textual feature, we propose a method for selecting text closely related to an image from its webpage. In addition, to consider the meaning of the concept, we propose to use WordNet for getting words related to the concept. For visual features, we use Fisher(More)
In this paper, we would like to evaluate online learning algorithms for large-scale visual recognition using state-of-the-art features which are preselected and held fixed. Today , combinations of high-dimensional features and linear classifiers are widely used for large-scale visual recognition. Numerous so-called mid-level features have been developed and(More)
Improved dense trajectories (iDT) have shown great performance in action recognition, and their combination with the two-stream approach has achieved state-of-the-art performance. It is, however, difficult for iDT to completely remove background trajectories from video with camera shaking. Trajectories in less discriminative regions should be given modest(More)
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