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Semantic principal video shot classification via mixture Gaussian | IEEE Conference Publication | IEEE Xplore

Semantic principal video shot classification via mixture Gaussian


Abstract:

As digital cameras become more affordable, digital video now plays an important role in medical education and healthcare. In this paper, we propose a novel framework to f...Show More

Abstract:

As digital cameras become more affordable, digital video now plays an important role in medical education and healthcare. In this paper, we propose a novel framework to facilitate semantic classification of surgery education videos. Specifically, the framework includes: (a) semantic-sensitive video content characterization via principal video shots, (b) semantic video classification via a mixture Gaussian model to bridge the semantic gap between low-level visual features and semantic visual concepts in a specific surgery education video domain.
Date of Conference: 06-09 July 2003
Date Added to IEEE Xplore: 18 August 2003
Print ISBN:0-7803-7965-9
Conference Location: Baltimore, MD, USA

References

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