Cast indexing for videos by NCuts and page ranking

@inproceedings{Gao2007CastIF,
  title={Cast indexing for videos by NCuts and page ranking},
  author={Yong Gao and Tao Wang and Jianguo Li and Yangzhou Du and Wei Hu and Yimin Zhang and Haizhou Ai},
  booktitle={CIVR},
  year={2007}
}
Cast indexing is an important video mining technique which provides audience the capability to efficiently retrieve interested scenes, events, and stories from a long video. This paper proposes a novel cast indexing approach based on Normalized Graph Cuts (NCuts) and Page Ranking. The system first adopts face tracker to group face images in each shot into face sets, and then extract local SIFT feature as the feature representation. There are two key problems for cast indexing. One is to find an… CONTINUE READING
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