Description: Use sampling frame column vector of the PCA coefficients as each frame features (in principle, can also use other types of key-frame features), multi-frame features constitute the feature vector, the posterior probability of the Gaussian probability model to measure the similarity,and the establishment of the index of the k-dimensional tree structure search, to noise, blur, compression, Logo, its combination of two of these transformation experiments (dropped frames rarely), very fast, suitable for largescale internet video search.
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Copy Detection －基于概率模型和树搜索－11.pdf
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