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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 solve the problem of low processing efficiency due to the huge amount of calculation and storage in the 3D human body reconstruction scheme for video images in the related art. high problem

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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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Embodiment Construction

[0076] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0077] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent w...

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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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