Introduction - If you have any usage issues, please Google them yourself
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.