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Labeled image datasets have played a critical role in high-level image understanding. However, the process of manual labeling is both time-consuming and labor intensive. To reduce the cost of manual labeling, there has been increased research interest in automatically constructing image datasets by exploiting web images. Datasets constructed by existing methods tend to have a weak domain adaptation...
The goal of this work is to automatically collect a large number of highly relevant images from the Internet for given queries. A novel image dataset construction framework is proposed by employing multiple textual metadata. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora to obtain a richer semantic description, from which the visually non-salient...
In this paper we propose a new resampling strategy about particle filter algorithm for tracking object in video sequence. We incorporate the new resampling strategy and adaptive elliptical template with the classical particle filter algorithm. We apply enhanced algorithm to track selected object in a standard video and demonstrate its performance compared with the algorithm proposed by K. Nummiaro...
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