Abstract: There is provided an application classification method and apparatus. The method includes: calculating a correlation coefficient between to-be-classified applications, wherein the to-be-classified applications are located in one or more known classification systems; constructing a node diagram for the to-be-classified applications based on the correlation coefficient; and dividing the node diagram to obtain one or more classification diagrams.

Abstract: The present invention provides a method and device for detecting the presence of logo patterns in product images. The method comprises the steps of retrieving one or more logo patterns from a logo pattern library, each of the one or more logo patterns identifying a respective product brand; retrieving a product image; calculating for each of the one or more logo patterns, a matching degree, the matching degree representing a degree to which each logo pattern is present in the product image; selecting as a selected logo pattern, the logo pattern having the greatest calculated matching degree; and determining that the product image includes the selected logo pattern if the matching degree of the selected logo pattern is greater than a first threshold.

Abstract: A method and an apparatus of identifying a website user are disclosed herein.

Abstract: The present invention provides a method and device for detecting the presence of logo patterns in product images. The method comprises the steps of retrieving one or more logo patterns from a logo pattern library, each of the one or more logo patterns identifying a respective product brand; retrieving a product image; calculating for each of the one or more logo patterns, a matching degree, the matching degree representing a degree to which each logo pattern is present in the product image; selecting as a selected logo pattern, the logo pattern having the greatest calculated matching degree; and determining that the product image includes the selected logo pattern if the matching degree of the selected logo pattern is greater than a first threshold.

Abstract: Detecting a specific image applicable at a website includes detecting an existence of a frame of the specific image. The specific image applicable at the website is obtained. An edge characteristic value of each pixel of the image is calculated. A pixel whose edge characteristic value is a local maximum value is found along a slope direction of each pixel. When the edge characteristic value of the found pixel is larger than a preset characteristic value threshold, a preset color is used to fill the pixel. The specific image is scanned. An amount of pixels whose color is the preset color at each scanning line of the specific image is counted. When the amount of such pixels at a scanning line is larger than a preset number threshold, a line where the scanning line locates is determined as an edge line of the frame.

Abstract: Detecting a specific image applicable at a website includes detecting an existence of a frame of the specific image. The specific image applicable at the website is obtained. An edge characteristic value of each pixel of the image is calculated. A pixel whose edge characteristic value is a local maximum value is found along a slope direction of each pixel. When the edge characteristic value of the found pixel is larger than a preset characteristic value threshold, a preset color is used to fill the pixel. The specific image is scanned. An amount of pixels whose color is the preset color at each scanning line of the specific image is counted. When the amount of such pixels at a scanning line is larger than a preset number threshold, a line where the scanning line locates is determined as an edge line of the frame.

Abstract: A method and an apparatus of identifying a website user are disclosed herein.