• DOI:10.1109/ISM.2013.22
Corpus ID: 478725

Relevance Segmentation of Laparoscopic Videos

@article{Mnzer2013RelevanceSO,
  title={Relevance Segmentation of Laparoscopic Videos},
  author={Bernd M{\"u}nzer and K. Sch{\"o}ffmann and L. B{\"o}sz{\"o}rm{\'e}nyi},
  journal={2013 IEEE International Symposium on Multimedia},
  year={2013},
  pages={84-91}
}

Bernd Münzer, K. Schöffmann, L. Böszörményi

Published 2013

Computer Science

2013 IEEE International Symposium on Multimedia

In recent years, it became common to record video footage of laparoscopic surgeries. This leads to large video archives that are very hard to manage. They often contain a considerable portion of completely irrelevant scenes which waste storage capacity and hamper an efficient retrieval of relevant scenes. In this paper we (1) define three classes of irrelevant segments, (2) propose visual feature extraction methods to obtain irrelevance indicators for each class and (3) present an extensible… CONTINUE READING

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