The objective of this work is to retrieve shots containing particular people in video material. Due to well known
problems such as illumination, pose and expression variations, it has been a challenging task. To this end, a robust and
scalable approach analogized with text search method is proposed in this paper, which mainly consists of four steps:
Obtaining sets of face exemplars by tracking, Local Facial Features Extraction and Fusion, Visual words established,
Document descriptor obtained and VSM established for shot retrieval. Experimental results demonstrate that the
proposed approach is not only efficient but also outperforms the competing methods.
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