Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams

  title={Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams},
  author={Sylvain Paris},
Video streams are ubiquitous in applications such as surveillance, games, and live broadcast. Processing and analyzing these data is challenging because algorithms have to be efficient in order to process the data on the fly. From a theoretical standpoint, video streams have their own specificities – they mix spatial and temporal dimensions, and compared to standard video sequences, half of the information is missing, i.e. the future is unknown. The theoretical part of our work is motivated by… CONTINUE READING
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