Diverse Sequential Subset Selection for Supervised Video Summarization

@inproceedings{Gong2014DiverseSS,
  title={Diverse Sequential Subset Selection for Supervised Video Summarization},
  author={Boqing Gong and Wei-Lun Chao and Kristen Grauman and Fei Sha},
  booktitle={NIPS},
  year={2014}
}
Introduction Video summarization: pressing need 100 hours of new Youtube video per min 422,000 CCTV cameras in London 24/7 Sequential DPP (seqDPP) 1. Partition video into T disjoint segments 2. Introduce subset selection (of frames) variable Yt for each segment 3. Condition Yt on Yt-1 = yt-1 by DPP User study on inter-annotator agreement Data: 100 videos from Open Video Project and Youtube Annotation: 5 user summaries per video Observation: high inter-annotator agreement Generate target… CONTINUE READING
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