From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection

@article{Meng2016FromKT,
  title={From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection},
  author={Jingjing Meng and Hongxing Wang and Junsong Yuan and Yap-Peng Tan},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={1039-1048}
}
We propose to summarize a video into a few key objects by selecting representative object proposals generated from video frames. This representative selection problem is formulated as a sparse dictionary selection problem, i.e., choosing a few representatives object proposals to reconstruct the whole proposal pool. Compared with existing sparse dictionary selection based representative selection methods, our new formulation can incorporate object proposal priors and locality prior in the… CONTINUE READING
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