Video Shot Detection Using Hidden Markov Models with Complementary Features

@article{Zhang2006VideoSD,
  title={Video Shot Detection Using Hidden Markov Models with Complementary Features},
  author={Weigang Zhang and Jianqiu Lin and Xiaopeng Chen and Qingming Huang and Yang Liu},
  journal={First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)},
  year={2006},
  volume={3},
  pages={593-596}
}
Shot detection is the first stage of video analysis. In this paper, we present a machine learning based shot detection approach using hidden Markov models (HMMs), in which both the color and shape clues are utilized. Its advantages are twofold. First, the temporal characteristics of different shot transitions are exploited and an HMM is constructed for each type of shot transitions, including cut and gradual transitions. As trained HMMs are used to recognize the shot transition patterns… CONTINUE READING
Highly Cited
This paper has 30 citations. REVIEW CITATIONS
19 Citations
6 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 19 extracted citations

Similar Papers

Loading similar papers…