On-the-fly specific person retrieval

Omkar M. Parkhi, A. Vedaldi, Andrew Zisserman
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引用次数: 38

Abstract

We describe a method of visual search for finding people in large video datasets. The novelty is that the person of interest can be specified at run time by a text query, and a discriminative classifier for that person is then learnt on-the-fly using images downloaded from Google Image search. The performance of the method is evaluated on a ground truth dataset of episodes of Scrubs, and results are also shown for retrieval on the TRECVid 2011 IACC.1.B dataset of over 8k videos. The entire process from specifying the query to receiving the ranked results takes only a matter of seconds.
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动态特定人物检索
我们描述了一种在大型视频数据集中寻找人物的视觉搜索方法。新颖之处在于,可以在运行时通过文本查询指定感兴趣的人,然后使用从谷歌图像搜索下载的图像实时学习该人的判别分类器。该方法的性能在《Scrubs》剧集的地面真实数据集上进行了评估,并在TRECVid 2011 IACC.1上显示了检索结果。超过8k视频的数据集。从指定查询到接收排序结果的整个过程只需要几秒钟。
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