Abstract: An Android penetration method and device for implementing silent installation based on accessibility services. The method includes: acquiring a second target application by adding a load program to a first target application and adding penetration permissions using an Android decompilation technology; and implementing silent installation of the second target application using an accessibility service technology.

Abstract: The present disclosure provides an application of non-phosphorylated ?-catenin protein in tumor cells as a biomarker for predicting the responsivity or sensitivity of tumor cells to wnt pathway inhibitors, a method of using non-phosphorylated ?-catenin protein in tumor cells as a biomarker to predict the responsivity or sensitivity of tumor cells to wnt pathway inhibitors, a method for treating tumor patients, a method for detecting the content of non-phosphorylated ?-catenin in tumor tissues or tumor cells, and a suitable wnt inhibitor.

Abstract: The present disclosure relates to a scene detection method, a chip, an electronic device, and a storage medium, the present disclosure detects periodic scenes, which helps to improve the accuracy of motion estimation.

Abstract: A static identification area detecting method and module, chip, electronic device and medium, which can improve the accuracy of static identification area detection.

Abstract: A method for detecting a static logo of a video, an electronic apparatus and a storage medium. The method includes: calculating a pixel grayscale flag value, an edge gradient flag value and an edge direction flag value; calculating, in a preset neighborhood centered on the pixel at each pixel position of the current video frame, a first local confidence degree of the pixel grayscale flag value, a second local confidence degree of the edge gradient flag value, and a third local confidence degree of the edge direction flag value respectively; calculating a contribution score of each local confidence degree and a total contribution score of each pixel position; and gathering the total contribution score of each pixel position of the current video frame, and determining a static logo in the current video frame according to the total contribution score of each pixel position.

Abstract: A method for estimating a motion vector of a pixel block, a video processing apparatus, an electronic device and a storage medium. The method for estimating the motion vector of the pixel block includes: obtaining a plurality of candidate motion vectors of a current pixel block in a current video frame, the plurality of candidate motion vectors comprising at least a down-sampled candidate motion vector; calculating a confidence degree for a difference value between each of other candidate motion vectors except for the down-sampled candidate motion vector in the plurality of candidate motion vectors and the down-sampled candidate motion vector; and determining one candidate motion vector in the other candidate motion vectors as the motion vector of the current pixel block, the confidence degree for the difference value between the one candidate motion vector and the down-sampled candidate motion vector is highest.

Abstract: The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

Abstract: A method for detecting a static logo of a video, an electronic apparatus and a storage medium. The method includes: calculating a pixel grayscale flag value, an edge gradient flag value and an edge direction flag value; calculating, in a preset neighborhood centered on the pixel at each pixel position of the current video frame, a first local confidence degree of the pixel grayscale flag value, a second local confidence degree of the edge gradient flag value, and a third local confidence degree of the edge direction flag value respectively; calculating a contribution score of each local confidence degree and a total contribution score of each pixel position; and gathering the total contribution score of each pixel position of the current video frame, and determining a static logo in the current video frame according to the total contribution score of each pixel position.

Abstract: A method for estimating a motion vector of a pixel block, a video processing apparatus, an electronic device and a storage medium. The method for estimating the motion vector of the pixel block includes: obtaining a plurality of candidate motion vectors of a current pixel block in a current video frame, the plurality of candidate motion vectors comprising at least a down-sampled candidate motion vector; calculating a confidence degree for a difference value between each of other candidate motion vectors except for the down-sampled candidate motion vector in the plurality of candidate motion vectors and the down-sampled candidate motion vector; and determining one candidate motion vector in the other candidate motion vectors as the motion vector of the current pixel block, the confidence degree for the difference value between the one candidate motion vector and the down-sampled candidate motion vector is highest.

Abstract: A static identification area detecting method and module, chip, electronic device and medium, which can improve the accuracy of static identification area detection.

Abstract: The present disclosure relates to a scene detection method, a chip, an electronic device, and a storage medium, the present disclosure detects periodic scenes, which helps to improve the accuracy of motion estimation.

Abstract: The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

Abstract: Embodiment of the present disclosure discloses a method and an apparatus for generating human pose images based on Wi-Fi signals. The method for generating human pose images based on Wi-Fi signals comprises: receiving Wi-Fi signals through one or more antennas; obtaining channel state information from the Wi-Fi signals; extracting channel state information components related to human pose changes from the channel state information; constructing a mapping model between the Wi-Fi signals and the human poses to map the channel state information components related to the human pose changes to a human pose image sequence.

Abstract: A sensing recognition method and device based on wireless communication signals are disclosed. The method comprises the steps of obtaining channel state information from a received wireless communication signal; extracting a channel state feature value from the channel state information; and outputting a sensing result mapped with the channel state feature value according to the channel state feature value. The disclosed method and device can improve the accuracy of sensing recognition and achieve better recognition effect.

Abstract: A sensing recognition method and device based on wireless communication signals are disclosed. The method comprises the steps of obtaining channel state information from a received wireless communication signal; extracting a channel state feature value from the channel state information; and outputting a sensing result mapped with the channel state feature value according to the channel state feature value. The disclosed method and device can improve the accuracy of sensing recognition and achieve better recognition effect.