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393 results about "Content retrieval" patented technology

Method for retrieving confidential information of file and judging and marking security classification based on content correlation

A method for retrieving confidential information of a file and judging and marking the security classification based on content correlation is mainly characterized by comprising the following steps of: selecting corresponding confidential keywords and a matched rule base according to the range to which a document belongs; accurately and comprehensively searching confidential information in the document by carrying out word segmenting operation on the document contents and constructing a semantic correlation network; carrying out security classification judgment and encryption processing on each confidential information point according to a secret-level setting rule in a secret-level setting rule base; then giving out corresponding security classifications by integrating the security classifications of various confidential information points; and finally, marking related confidential information in the documents. According to the method, the confidential information in the document can be efficiently searched and the security classification of the document is accurately judged, so that the workload of manual secret-level setting is reduced, the efficiencies of secret-level setting work and the security classification appraisal work are increased, the random secret-level setting phenomenon in the secret-level setting process is effectively prevented and new confidential keywords and matching rules can be automatically learned, and further the precision of retrieval and security classification judgment is continuously improved.
Owner:徐亮 +1

Video human action reorganization method based on sparse subspace clustering

The invention belongs to computer visual pattern recognition and a video picture processing method. The computer visual pattern recognition and the video picture processing method comprise the steps that establishing a three-dimensional space-time sub-frame cube in a video human action reorganization model, establishing a human action characteristic space, conducting the clustering processing, updating labels, extracting the three-dimensional space-time sub-frame cube in the video human action reorganization model and the human action reorganization from monitoring video, extracting human action characteristic, confirming category of human sub-action in each video and classifying and merging on videos with sub-category labels. According to the computer visual pattern recognition and the video picture processing method, the highest identification accuracy is improved by 16.5% compared with the current international Hollywood2 human action database. Thus, the video human action reorganization method has the advantages that human action characteristic with higher distinguishing ability, adaptability, universality and invariance property can be extracted automatically, the overfitting phenomenon and the gradient diffusion problem in the neural network are lowered, and the accuracy of human action reorganization in a complex environment is improved effectively; the computer visual pattern recognition and the video picture processing method can be applied to the on-site video surveillance and video content retrieval widely.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
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