Video image processing method and device, electronic equipment and storage medium

A technology of video image and processing method, which is applied in the field of electronic equipment and storage media, video image processing method, and device, and can solve the problems of low processing efficiency, large calculation amount and storage amount of three-dimensional reconstruction scheme of human body, etc.

Pending Publication Date: 2021-05-07
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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Problems solved by technology

[0004] The present disclosure provides a video image processing method, device, electronic equipment, computer-readable storage medium, and computer program product, so as to at least sol

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  • Video image processing method and device, electronic equipment and storage medium
  • Video image processing method and device, electronic equipment and storage medium
  • Video image processing method and device, electronic equipment and storage medium

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[0076]In order to better understand the disclosure of the present disclosure, the technical solutions in the present disclosure will be described in contemplation in conjunction with the accompanying drawings.

[0077]It should be noted that the specification and claims of the present disclosure and the terms "first", "second", "second", or the like are used to distinguish a similar object without having to describe a particular order or ahead order. It is to be understood that the data such as use can be interchanged in appropriate, so that the embodiments of the present disclosure described herein can be implemented in the order other than those illustrated or described herein. The embodiments described in the exemplary embodiments described below do not represent all embodiments consistent with the present disclosure. Instead, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0078]The present disc...

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Abstract

The invention relates to a video image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: inputting a first frame image in a target video into a three-dimensional reconstruction network and a video frame coding network, and obtaining a three-dimensional reconstruction result of a target object in the first frame image and the image features of the first frame image; inputting the image feature of the i-th frame of image in the target video and the three-dimensional reconstruction result corresponding to the i-th frame of image into a time sequence feature extraction network to obtain the time sequence feature of the i-th frame of image; inputting the (i + 1)-th frame of image in the target video into the video frame coding network to obtain image features of the (i + 1)-th frame of image; generating a three-dimensional reconstruction result corresponding to the (i + 1)-th frame of image based on the image feature of the (i + 1)-th frame of image and the time sequence feature of the i-th frame of image; and updating the value of i to i + 1, and repeatedly executing the step of inputting the time sequence feature extraction network to generate the three-dimensional reconstruction result corresponding to the (i + 1)-th frame of image until i = N. According to the invention, the precision and efficiency of object three-dimensional reconstruction can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of computer processing, and in particular to a video image processing method, device, electronic equipment and storage medium. Background technique [0002] Human body posture estimation and human body 3D model reconstruction in video images aim to restore the human body joint position and human body surface 3D model in each video frame. This technology is widely used in security, health monitoring, computer animation, virtual reality, augmented reality and other scenarios. [0003] In related technologies, optical flow or Recurrent Neural Network (Recurrent Neural Network, RNN) is usually used to extract temporal information to reconstruct the dynamic 3D model of the human body. This solution needs to first extract the optical flow information in the input video image, and then use the deep RNN network or The temporal convolutional network extracts the human body features in the input video image,...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T9/00G06K9/46G06K9/62
CPCG06T17/00G06T9/001G06T2207/10016G06V10/40G06F18/253
Inventor 曹炎培赵培尧
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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