Motion segmentation in compressed video using Markov Random Fields

@article{Chen2010MotionSI,
  title={Motion segmentation in compressed video using Markov Random Fields},
  author={Yue-Meng Chen and Ivan V. Bajic and Parvaneh Saeedi},
  journal={2010 IEEE International Conference on Multimedia and Expo},
  year={2010},
  pages={760-765}
}
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First, motion vectors (MVs) are quantized into several representative classes, from which MRF priors are estimated. Then, a coarse segmentation map of the MV field is obtained using a maximum a posteriori estimate of the MRF label process. Finally, the boundaries of segmented moving regions are refined using color and edge… CONTINUE READING

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