Abstract: A keyword expansion method and system are provided. The method comprises searching with a predetermined initial keyword to obtain current keywords used as a basis of a next search, performing loop search through keyword iteration. If a keyword error between keywords obtained in the current search and those keywords obtained in a previous search is less than a predetermined threshold, using the keywords obtained in the current search as expanded keywords of the initial keyword. With this method, the problem of manually establishing a thesaurus in the prior art may be solved. A method and system of automatically annotating a classified corpus is also provided. The method comprises: determining one or more initial core keywords for each class; obtaining expanded keywords for each class through expanding the initial core keywords; searching with the expanded keywords corresponding to a class to select a classified corpus and annotating the classified corpus.

Abstract: A method and system for key knowledge point recommendation are provided, the method comprising calculating knowledge point relationship strengths of knowledge points in a set of knowledge points; calculating weights for knowledge points according to the knowledge point relationship strengths of knowledge points in the set of knowledge points, and storing the knowledge points and weights correspondingly; determining key knowledge points according to the weights of the knowledge points and recommending the key knowledge points to a user.

Abstract: The present invention provides a method and system of measuring knowledge point relationship strength, the method comprising calculating explicit relationship strength for all knowledge points and generating a knowledge point relationship strength matrix M; constructing a weighted and directed graph G according to the knowledge point relationship strength matrix of all knowledge points; calculating knowledge point implicit relationship strength values according to the weighted and directed graph and generating a knowledge point implicit relationship strength matrix I; traversing the knowledge point implicit relationship strength matrix I and updating the knowledge point relationship strength matrix M. The above technical solution may effectively avoid the problem of lack of an absolute measurable value for the determination of relationship strength, incorrect measurement of relationship strength, or unable to discover some stronger relationship strength in the prior art.

Abstract: The present invention provides a semantic information acquisition method and system, and corresponding keyword expansion and search methods and systems, comprising: searching for, then classifying an article; then, performing word segmentation according to the classified article to obtain the words in said category, and setting said category and words to serve as the semantic information of the keyword; also, a method and system using the semantic information acquisition method to expand a keyword, and a method and system using keyword expansion to perform a search. The described semantic information acquisition method effectively avoids the technical problems in the prior art of only being able to obtain semantic information of English vocabulary; and it also being impossible to classify semantic information based on category information. The invention is particularly suitable for searching using a keyword, searching a large number of texts, and organizing large amounts of related data and information.

Abstract: In the method and system for knowledge extraction of this invention, knowledge extraction is realized through acquiring an initial sentence group including one or more sentences, and then comparing the length of the initial sentence group with an expected length to determine the initial sentence group to be expanded according to the comparison result. Since the sentence groups are formed by consecutive sentences, it may be guaranteed that the sentence groups themselves have good coherence in logic, so that the final sentence groups obtained through expanding the initial sentence groups have good coherence in logic correspondingly. Thus, this invention may override the drawback of lacking logical coherence in extracted knowledge information in the prior art.

Abstract: A method and system for obtaining a knowledge point implicit relationship are provided; first, establishing a knowledge point explicit relationship map according to knowledge point explicit relationship strengths; second, computing according to said knowledge point explicit relationship map a simple path set of two knowledge points; then, computing the implicit relationship strength values corresponding to each simple path in said simple path set; further, comparing the relationship strength values of the simple paths and setting as the significant implicit relationship strength value the simple path relationship strength having the largest value also greater than a preset threshold value.

Abstract: The present invention provides a method and an apparatus for detecting a traffic monitoring video. The method comprises: determining a background reference model; determining a target area image in the traffic monitoring video according to the background reference model; updating the background reference model by using the target area image; summating all target points in detection area of each frame of image in the traffic monitoring video according to the updated background reference model to obtain a total area of all the target points; segmenting the frame with the biggest total area to obtain a target area at the best position; and extracting vehicle information from the target area at the best position. By using the present invention, the accuracy of a detection result in a complex environment may be improved.

Abstract: Provided is a table recognizing method, comprising: parsing and analyzing metadata information in an original fixed-layout document, and extracting basic elements on a page of the document; segmenting the basic elements, extracting segmented text lines on the page, and acquiring fragments; constructing an undirected graph with respect to each of the fragments; extracting an image on the page, detecting intersection points of horizontal lines and vertical lines, detecting an external bounding box of the intersection points, and taking whether the segmented text lines fall within the external bounding box as local relationship features; training a learning model according to the local relationship features, local features of the fragments, and neighborhood relationship features among the fragments, acquiring model parameters, and establishing a table recognizing model; and invoking the table recognizing model to perform table recognizing for the document, and acquiring a recognizing result.

Abstract: The present invention provides a method and an apparatus for detecting traffic video information. The method includes: acquiring a traffic video stream; determining color features of each frame of image in the traffic video stream; calculating the inter-frame distance between adjacent frames according to the color features; calculating the boundary of an image clustered frames' group according to the inter-frame distance by adopting an image clustering evaluation standard in RGB space and an image clustering evaluation standard in YUV space respectively; and determining a final boundary of the image clustered frames' group according to the boundaries of the image clustered frames' group in RGB space and YUV space. By using the present invention, the stability of detection results in different environments may be improved.

Abstract: A CT system for security check and a method thereof are provided. The method includes: reading inspection data of an inspected object; inserting at least one three-dimensional (3D) Fictional Threat Image (FTI) into a 3D inspection image of the inspected object, which is obtained from the inspection data; receiving a selection of at least one region in the 3D inspection image including the 3D FTI or at least one region in a two-dimensional (2D) inspection image including a 2D FTI corresponding to the 3D FTI, wherein the 2D inspection image is obtained from the 3D inspection image or is obtained from the inspection data; and providing a feedback of the 3D inspection image including at least one 3D FTI in response to the selection. With the above solution, it is convenient for a user to rapidly mark a suspected object in the CT image, and provides a feedback of whether a FTI is included.

Abstract: A method and apparatus for describing an image are disclosed. The method for describing an image according to an embodiment of the invention includes: transforming an image from a BGR color space into a Gaussian derivative color model; and transforming the image from the Gaussian derivative color model into an optical reflection invariant color space, wherein the process of transforming the image from the Gaussian derivative color model into the optical reflection invariant color space includes: determining, for each pixel on the image, color channels of the pixel corresponding to the optical reflection invariant color space according to a first coefficient and a second coefficient of the pixel in the Gaussian derivative color model. The embodiments of the invention can alleviate an error in a description of an image of the same contents but with a significant change in color.

Abstract: The present disclosure discloses an image display method in a CT system. The method comprises: implementing CT scanning on an inspected object, to obtain CT projection data; organizing the CT projection data according to a predetermined interval; extracting basic data from the organized CT projection data by using a fixed angle as a start angle and using 360 degrees as an interval; forming a DR image based on the extracted basic data; reconstructing a three-dimensional image of the inspected object from the CT projection data; and displaying the DR image and the reconstructed three-dimensional image on a screen at the same time. In the solution, the CT data is processed to obtain DR data. After the DR data is obtained, a DR image is obtained directly using a DR data processing algorithm. This enables an image recognizer to more accurately and more rapidly inspect goods carried by a passenger using the existing experience in image recognition of the DR image.

Abstract: A method and apparatus for matching key pixels of images and a method and apparatus for matching images are disclosed. The method for matching key pixels of images includes: determining, for a key pixel to be matched of a first image, a first eigenvector, in a set of eigenvectors of a second image, matching an eigenvector of the key pixel to be matched; determining a second eigenvector, in a set of eigenvectors of the first image, matching the first eigenvector; and determining the key pixel to be matched and a key pixel corresponding to the first eigenvector as a pair of matching pixels when a coordinate vector of the key pixel to be matched is the same as a coordinate vector of a key pixel corresponding to the second eigenvector.

Abstract: A pick up mechanism includes a pick up rod, a pick up head, and a resisting assembly. The pick up head is assembled to an end of the pick up rod. The resisting assembly includes a guiding seat, a resisting member, a pair of guiding rods, and a pair of elastic members. The guiding seat is fixedly sleeved on the pick up rod, the resisting member slidably shields the pick up head. The pair of guiding rods is fixed on the guiding seat, and blocks the resisting member. The pair of elastic members is resisted between the guiding seat and the resisting member, wherein the pick up head is exposed or shielded by moving the resisting member relative to the pick up rod.

Abstract: A list recognizing method and system, which comprises: parsing and analyzing metadata information within an original fixed-layout document, and extracting basic elements within a page; segmenting the basic elements, extracting segmented text lines within the page to obtain fragments; building an undirected graph with respect to the fragments; detecting indent features of a bullet according to features of the basic elements; training a learning model according to the indent features, local features of the fragments and neighborhood relation features among the fragments, obtaining model parameters, and establishing a list recognizing model; and invoking the list recognizing model to perform list recognizing on the required document, so as to get recognition result.

Abstract: Provided is a table recognizing method, comprising: parsing and analyzing metadata information in an original fixed-layout document, and extracting basic elements on a page of the document; segmenting the basic elements, extracting segmented text lines on the page, and acquiring fragments; constructing an undirected graph with respect to each of the fragments; extracting an image on the page, detecting intersection points of horizontal lines and vertical lines, detecting an external bounding box of the intersection points, and taking whether the segmented text lines fall within the external bounding box as local relationship features; training a learning model according to the local relationship features, local features of the fragments, and neighborhood relationship features among the fragments, acquiring model parameters, and establishing a table recognizing model; and invoking the table recognizing model to perform table recognizing for the document, and acquiring a recognizing result.

Abstract: A digital content rights management method and system belongs to the digital content rights management technique field. The method of the invention includes the steps: registering the system, generating the time stamp, verifying the time stamp when the system starts up, acquiring the certificate, verifying the time before accessing the digital content. The system of the invention comprises a device for accessing the digital content and a server, wherein the device for accessing the digital content comprises: a registering module, a time stamp generating module, a time stamp verification module, a certificate of authorization acquiring module, and a time verification module. The method and system have solved the problem that the digital content can still be used beyond the time limit.

Abstract: An extraction device for the composite graph in a fixed layout document comprising: a document parsing unit, for parsing the fixed layout document, and determining the primitives of the fixed layout document and their types; a layer generation unit, for extracting text primitives so as to form a text layer, and using the rest non-text primitives to form a non-text layer; a page analysis unit, for processing the text layer and the non-text layer with page analyses respectively; a block generation unit, for generating a text block in the text layer and a graph block in the non-text layer; a correlation block determination unit, for determining text blocks correlating to every graph block and merging those correlated text blocks and graph blocks into a composite graph block; an identifier storage unit, for storing the identifiers of all the primitives contained in the composite graph block.

Abstract: A method and apparatus for matching key pixels of images and a method and apparatus for matching images are disclosed. The method for matching key pixels of images includes: determining, for a key pixel to be matched of a first image, a first eigenvector, in a set of eigenvectors of a second image, matching an eigenvector of the key pixel to be matched; determining a second eigenvector, in a set of eigenvectors of the first image, matching the first eigenvector; and determining the key pixel to be matched and a key pixel corresponding to the first eigenvector as a pair of matching pixels when a coordinate vector of the key pixel to be matched is the same as a coordinate vector of a key pixel corresponding to the second eigenvector.

Abstract: The present invention provides a method and an apparatus for detecting traffic video information. The method includes: acquiring a traffic video stream; determining color features of each frame of image in the traffic video stream; calculating the inter-frame distance between adjacent frames according to the color features; calculating the boundary of an image clustered frames' group according to the inter-frame distance by adopting an image clustering evaluation standard in RGB space and an image clustering evaluation standard in YUV space respectively; and determining a final boundary of the image clustered frames' group according to the boundaries of the image clustered frames' group in RGB space and YUV space. By using the present invention, the stability of detection results in different environments may be improved.