Peking University

Beijing Founder Apabi Technology Limited

Founder Apabi Technology Limited

Beijing Jinlin Technology Co., Ltd.

Jianbo Xu

Zhi Tang

Yang Wang

Xiaoqing Lv

Mao Ye

Lifeng Jin

Wei Wan

Ning Dong

Wenjuan Huang

Xin Tao

Canhui Xu

Yuanlong Wang

Xiaoyu Cui

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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. With this solution, knowledge point relationship strengths are obtained through calculating knowledge point relationship strengths of knowledge points in a set of knowledge points; and recommendation is given to the user for learning knowledge according to knowledge point relationship strengths, so as to help the user to learn key knowledge points selectively in a more objective and effective manner, and avoid problems of information recommendation based on fuzzy logical information recommendation technology.

Method and system for key knowledge point recommendation

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.

Method and system of acquiring semantic information, keyword expansion and keyword search thereof

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. The described solution effectively avoids the problems of only using the relationship strengths between knowledge points and the ratio of relationship strengths to obtain the implicit relationship of knowledge points, the manner of searching for an implicit relationship being insufficiently accurate, and not performing normalization processing on the relationship strengths.

Method and system for obtaining knowledge point implicit relationship

A method for extracting a document structure is disclosed. The method may include determining a position of reference information in a layout file, and extracting items related to the reference information from the determined position of the layout file. An apparatus for extracting a document structure is also disclosed. The apparatus may include a processor configured to determine a position of reference information in a layout file; and to extract items related to the reference information from the determined position of the layout file. The apparatus may further include a storage device configured to store the extracted items.

Methods and devices for extracting document structure

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.

Method and apparatus for detecting traffic monitoring video

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.

Table recognizing method and table recognizing system

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.

Method and apparatus for detecting traffic video information

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.

Method and apparatus for describing image

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.

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Beijing, China

Jianbo Xu