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Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimensional features for classifying various shots in video. LGMM decomposes a high dimensional feature space by building a pyramid structure and estimating the distribution of local partitions in each layer using Gaussian mixtures...
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