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Video collection generation method, device, device and storage medium

A video and collection technology, applied in the direction of image communication, selective content distribution, electrical components, etc., can solve the problems of manpower and time consumption, high color change requirements, etc., achieve fast and accurate detection, clear detection goals, save manpower and effect of time

Active Publication Date: 2022-07-22
TENCENT TECH SHANGHAI
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing classification methods are all manual classification, which will consume a lot of manpower and time; or through neural network classification, but still need to manually collect and watch a large number of videos, manually mark the types of video clips in the video, and manually edit video highlights , which is also very labor-intensive and time-consuming
And now the neural network has higher requirements on the color change of the training samples

Method used

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  • Video collection generation method, device, device and storage medium
  • Video collection generation method, device, device and storage medium
  • Video collection generation method, device, device and storage medium

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Embodiment Construction

[0047] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures denote elements that have the same or similar functions. While various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.

[0048] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

[0049] In addition, in order to better illustrate the present application, numerous specific details are given in the following detailed description. It should be understood by those skilled in the art that the present application may be practiced without certain specific details. In some instances, methods, means, compone...

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Abstract

The present application relates to a method, apparatus, device and storage medium for generating a video collection. The method includes: acquiring a video to be detected, extracting a set of highlight images to be detected from the video to be detected; inputting the set of highlight images to be detected into a first target object detection model to detect the first target object, and obtaining a first number of 1. Detecting highlight images; inputting a first number of first detected highlight images into a second target object detection model to detect the second target object, and obtaining a second number of second detected highlight images; 2. Detecting the highlighted image and the set of highlighted images to be detected, and determining a target video segment; and generating a video collection of the target event according to the target video segment. The detection of target events can be faster and more accurate, so that the generation of video compendiums can be more efficient, and there is no need for a large number of annotations of training samples and the impact of color diversity can be reduced in target object detection.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular, to a method, device, device and storage medium for generating a video collection. Background technique [0002] In the video search and viewing, the user hopes that all the searched videos are of interest to the user, or the user only watches the segment of the searched video that the user is interested in. Especially for sports videos, such as basketball game videos, users may only want to see dunk video highlights in basketball game videos, and do not want to watch other content. Therefore, the game video content is generally classified, and the classified video collection is obtained, so that the user can search for the video collection that is of interest to the user. However, the existing classification methods are manual classification, which consumes a lot of manpower and time; or classification through neural networks, but still requires manua...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/44H04N21/845H04N21/85
CPCH04N21/44008H04N21/8456H04N21/85
Inventor 李廷天孙子荀
Owner TENCENT TECH SHANGHAI
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