Threading and autodocumenting news videos: a promising solution to rapidly browse news topics

@article{Wu2006ThreadingAA,
  title={Threading and autodocumenting news videos: a promising solution to rapidly browse news topics},
  author={Xiao Wen Wu and Chong-Wah Ngo and Qing Li},
  journal={IEEE Signal Processing Magazine},
  year={2006},
  volume={23},
  pages={59-68}
}
This paper describes the techniques in threading and autodocumenting news stories according to topic themes. Initially, we perform story clustering by exploiting the duality between stories and textual-visual concepts through a co-clustering algorithm. The dependency among stories of a topic is tracked by exploring the textual-visual novelty and redundancy of stories. A novel topic structure that chains the dependencies of stories is then presented to facilitate the fast navigation of the news… CONTINUE READING
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