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Object labeling method and device in video, computer equipment and storage medium

A video and object technology, applied in the field of image processing, can solve the problems of long time, low object labeling efficiency, consumption, etc., and achieve the effect of improving efficiency

Active Publication Date: 2020-12-11
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned manual labeling scheme requires the user to select objects in the video frame by frame, which takes a long time, resulting in low efficiency in labeling the objects in the video

Method used

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  • Object labeling method and device in video, computer equipment and storage medium
  • Object labeling method and device in video, computer equipment and storage medium
  • Object labeling method and device in video, computer equipment and storage medium

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Embodiment Construction

[0066] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0067] Before describing the various embodiments shown in the application, several concepts involved in the application are firstly introduced.

[0068] 1) Artificial Intelligence (AI).

[0069] AI is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the ...

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Abstract

The invention relates to an object labeling method and device in a video, computer equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring a sub-image area in each image frame of a video; based on the similarity of the sub-image regions in each image frame, associating the sub-image regions in each image frame to obtain at least two track segments; combining the at least two track segments to obtain at least one regional track; and in each image frame, marking each sub-image area in the area track as an area where the same specified type of object is located. Through the above scheme, when the training data set is constructed for artificial intelligence scenes such as automatic driving, the specified type of object in the image frame does not need to be manually labeled, and the efficiency of object labeling in the video can be greatly improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method, device, computer equipment and storage medium for object labeling in video. Background technique [0002] In artificial intelligence (AI) scenarios involving image recognition, a large amount of image training data is usually required for machine learning. Among them, marking the required objects from the image frames of the video is an important channel to obtain such image training data. [0003] In related technologies, when labeling a desired object (such as a person or an object) from an image frame of a video, a developer is usually required to perform manual labeling. For example, for a video, the developer manually selects the position of the required object in each image frame of the video, and sets the same number for the same object in each image frame, so as to complete the labeling of the object in the video. [0004] However, the above...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/103G06V20/40G06V20/584G06V2201/08G06N3/045G06F18/214
Inventor 马聪
Owner TENCENT TECH (SHENZHEN) CO LTD
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