Key frame extraction from consumer videos using epitome

@article{Dang2012KeyFE,
  title={Key frame extraction from consumer videos using epitome},
  author={Chinh T. Dang and Mrityunjay Kumar and Hayder Radha},
  journal={2012 19th IEEE International Conference on Image Processing},
  year={2012},
  pages={93-96}
}
Key frame extraction algorithms select a subset of the most informative frames from videos. Key frame extraction finds applications in several broad areas of video processing research such as video summarization, video indexing, and prints from video. In this paper, an image epitome [1][2] based method to extract key frames from unstructured consumer videos is presented. In the proposed approach, we exploit image epitome to measure dissimilarity between frames of the input video. The… CONTINUE READING
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