Combining Compressed Sensing sparse theory with Bayesian modeling

a faster and more effective method of video information retrieval is proposed in database. Based on minimizing

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principle for classification and feature extraction

the method implements video retrieval requirement by utilizing Bayesian modeling to automatically estimate the regularization parameters. Experimental results demonstrate that the proposed method performs better retrieval performances than PCA and RP algorithm.