Abstract: The present disclosure provides a copy area identification method and device, which relates to the technical field of image processing. A copy area identification method according to the present disclosure includes: extracting feature information of multiple layers from an image to be processed; encoding the feature of the multiple layers information respectively, and jointly decoding according to encoded information of the multiple layers to acquire a jointly decoded output; acquiring information of pixels according to the jointly decoded output, wherein the information of the pixels comprises rotation angle information of the copy area, and a distance between each of the pixels and a border of the copy area; and determining a position of a border of the copy area according to the information of the pixels.

Abstract: A video recognition method and apparatus and storage medium are disclosed. In the method, n first eigenvectors corresponding to each of m first image frames of a first video is determined; the first eigenvector represents a spatial eigenvector of the corresponding first image frame; a second eigenvector is extracted from the first eigenvectors, and the second eigenvector is processed through a fully connected layer to obtain a third eigenvector; the second eigenvector represents a time sequence eigenvector corresponding to the m first image frames; a first behavior type between first and second object corresponding to the first video is determined based on the third eigenvector; each element in the third eigenvector represents probability of a behavior type; and when the first behavior type is a set behavior type, a video recognition result of the first video is determined based on the first behavior type and type of the second object.

Abstract: Embodiments of the present disclosure provide a method and apparatus for segmenting a video. The method may include: performing video shot segmentation on a to-be-segmented video to obtain an initial video clip set; selecting at least one video clip from the video clip set; determining, for a video clip in the at least one video clip, a semantic similarity between two video clips adjacent to the video clip; and combining two video clips corresponding to a semantic similarity greater than a preset first similarity threshold value in the determined semantic similarity and a video clip between the two video clips to obtain a final video clip set.

Abstract: Embodiments of the present disclosure provide a method and apparatus for segmenting a video. The method may include: performing video shot segmentation on a to-be-segmented video to obtain an initial video clip set; selecting at least one video clip from the video clip set; determining, for a video clip in the at least one video clip, a semantic similarity between two video clips adjacent to the video clip; and combining two video clips corresponding to a semantic similarity greater than a preset first similarity threshold value in the determined semantic similarity and a video clip between the two video clips to obtain a final video clip set.

Abstract: The present disclosure provides a copy area identification method and device, which relates to the technical field of image processing. A copy area identification method according to the present disclosure includes: extracting feature information of multiple layers from an image to be processed; encoding the feature of the multiple layers information respectively, and jointly decoding according to encoded information of the multiple layers to acquire a jointly decoded output; acquiring information of pixels according to the jointly decoded output, wherein the information of the pixels comprises rotation angle information of the copy area, and a distance between each of the pixels and a border of the copy area; and determining a position of a border of the copy area according to the information of the pixels.