Abstract: The present disclosure discloses a method and system for text filtering. The method for text filtering comprises: pre-defining a semantic keyword in a text filtering system, the semantic keyword comprising at least one basic keyword and one logical operator; after obtaining an input text, finding, by the text filtering system, the basic keyword constituting the semantic keyword in the input text according to the pre-defined semantic keyword; in an event that a text content matching the at least one basic keyword in the input text is found, further conducting a semantic match in the found text content, the semantic match further comprising matching the found text content with the semantic keyword according to the logical operator constituting the semantic keyword; and in an event that the semantic match is successful, filtering the matched text context.

Abstract: The present disclosure discloses a method and system for text filtering. The method for text filtering comprises: pre-defining a semantic keyword in a text filtering system, the semantic keyword comprising at least one basic keyword and one logical operator; after obtaining an input text, finding, by the text filtering system, the basic keyword constituting the semantic keyword in the input text according to the pre-defined semantic keyword; in an event that a text content matching the at least one basic keyword in the input text is found, further conducting a semantic match in the found text content, the semantic match further comprising matching the found text content with the semantic keyword according to the logical operator constituting the semantic keyword; and in an event that the semantic match is successful, filtering the matched text context.

Abstract: The present disclosure discloses a method and system for text filtering. The method for text filtering comprises: pre-defining a semantic keyword in a text filtering system, the semantic keyword comprising at least one basic keyword and one logical operator; after obtaining an input text, finding, by the text filtering system, the basic keyword constituting the semantic keyword in the input text according to the pre-defined semantic keyword; in an event that a text content matching the at least one basic keyword in the input text is found, further conducting a semantic match in the found text content, the semantic match further comprising matching the found text content with the semantic keyword according to the logical operator constituting the semantic keyword; and in an event that the semantic match is successful, filtering the matched text context.

Abstract: The present disclosure discloses a method and apparatus for creating a sample image index table, filtering image, and searching image, to improve accuracy of monitoring images. A method for image filtering comprises: establishing a sample image index table; extracting regional characteristics from an image to be searched; clustering the regional characteristics of the image to be searched into corresponding nodes; obtaining a corresponding sample image identification by indexing the sample image index table using node identifications of the nodes of the image to be searched; determining a number of duplicate nodes between the image to be searched and the sample image; obtaining a degree of similarity of the image to be searched based on a number of the nodes of the image to be searched and a number of the nodes of the sample image; and filtering out the image to be searched when a degree of similarity between the image to be searched and the sample image exceeds a similarity threshold.

Abstract: The present disclosure discloses a method and apparatus for creating a sample image index table, filtering image, and searching image, to improve accuracy of monitoring images. A method for image filtering comprises: establishing a sample image index table; extracting regional characteristics from an image to be searched; clustering the regional characteristics of the image to be searched into corresponding nodes; obtaining a corresponding sample image identification by indexing the sample image index table using node identifications of the nodes of the image to be searched; determining a number of duplicate nodes between the image to be searched and the sample image; obtaining a degree of similarity of the image to be searched based on a number of the nodes of the image to be searched and a number of the nodes of the sample image; and filtering out the image to be searched when a degree of similarity between the image to be searched and the sample image exceeds a similarity threshold.

Abstract: The present disclosure discloses a method and system for text filtering. The method for text filtering comprises: pre-defining a semantic keyword in a text filtering system, the semantic keyword comprising at least one basic keyword and one logical operator; after obtaining an input text, finding, by the text filtering system, the basic keyword constituting the semantic keyword in the input text according to the pre-defined semantic keyword; in an event that a text content matching the at least one basic keyword in the input text is found, further conducting a semantic match in the found text content, the semantic match further comprising matching the found text content with the semantic keyword according to the logical operator constituting the semantic keyword; and in an event that the semantic match is successful, filtering the matched text context.