Video summarization via minimum sparse reconstruction

@article{Mei2015VideoSV,
  title={Video summarization via minimum sparse reconstruction},
  author={Shaohui Mei and Genliang Guan and Zhiyong Wang and Shuai Wan and Mingyi He and David Dagan Feng},
  journal={Pattern Recognition},
  year={2015},
  volume={48},
  pages={522-533}
}
The rapid growth of video data demands both effective and efficient video summarization methods so that users are empowered to quickly browse and comprehend a large amount of video content. In this paper, we formulate the video summarization task with a novel minimum sparse reconstruction (MSR) problem. That is, the original video sequence can be best reconstructed with as few selected keyframes as possible. Different from the recently proposed convex relaxation based sparse dictionary… CONTINUE READING

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