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Video processing method and device, electronic equipment and storage medium

A video processing and video source technology, applied in the computer field, can solve problems affecting video processing efficiency and accuracy, low video analysis processing accuracy, and poor video analysis performance

Active Publication Date: 2022-03-04
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the case of network bandwidth changes and video content changes, this method has poor video analysis performance, low accuracy of video analysis processing, and large consumption of network bandwidth, which affects the efficiency and accuracy of video processing.

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] figure 1 It is a schematic flowchart of a video processing method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of real-time analysis and processing of video, and the method can be executed by a video processing method configured on the server side. Such as figure 1 As shown, the method specifically includes the following steps:

[0025] Step 110: Receive the current decision analysis window sent by the video source, and determine at least one initial video analysis accuracy rate of the initial decision analysis window according to at least one set of configuration information of the initial decision analysis window preset in the current decision analysis window.

[0026] Wherein, the video source end is a side that collects video content, for example, it may be a camera end. The video source can collect the video content of the environment in real time, encode video segments of different batch sizes according to the...

Embodiment 2

[0054] figure 2 It is a schematic flow chart of a video processing method provided by Embodiment 2 of the present invention. This embodiment is further optimized based on the foregoing embodiments, and the method can be executed by a video processing device. Such as figure 2 As shown, the method specifically includes the following steps:

[0055] Step 210: Receive the current decision analysis window sent by the video source, and determine at least one initial video analysis accuracy rate of the initial decision analysis window according to at least one set of configuration information of the initial decision analysis window preset in the current decision analysis window.

[0056] Step 220: Adjust the size of the initial decision analysis window according to the preset decision analysis window size increment rule to obtain the first decision analysis window.

[0057] Step 230: Determine at least one first video analysis accuracy rate of the first decision analysis window a...

Embodiment 3

[0070] image 3 It is a structural block diagram of a video processing device provided in Embodiment 3 of the present invention, which can execute a video processing method provided in any embodiment of the present invention. The device is configured on the server side and has corresponding functional modules for executing the method and beneficial effects. like image 3 As shown, the device specifically includes:

[0071] The initial video analysis accuracy determination module 301 is configured to receive the current decision analysis window sent by the video source, and determine the initial decision analysis according to at least one set of configuration information of the initial decision analysis window preset in the current decision analysis window At least one initial video analysis accuracy for the window;

[0072] The optimal configuration information determination module 302 is used to judge whether the accuracy rate of the initial video analysis satisfies the pr...

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PUM

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Abstract

The embodiment of the invention discloses a video processing method and device, electronic equipment and a storage medium. The method comprises the following steps: determining the video analysis accuracy of an initial decision analysis window according to initial decision analysis window configuration information in a current decision analysis window; judging whether the video analysis accuracy meets an accuracy stability rule, if so, determining the initial decision analysis window configuration information as optimal configuration information, and determining an optimal bandwidth demand; determining a to-be-screened bandwidth demand according to the current bandwidth and a preset bandwidth demand range, and determining candidate configuration information; obtaining target configuration information and a target decision application window based on a pre-trained deep reinforcement learning model according to the candidate configuration information and the size of a preset number of historical decision application windows, and analyzing the target decision application window in the video source end according to the target configuration information, and sending the target decision application window as a new current decision analysis window to the server by the video source.

Description

technical field [0001] Embodiments of the present invention relate to computer technology, and in particular, to a video processing method, device, electronic equipment, and storage medium. Background technique [0002] Computer vision tasks such as target detection and recognition are widely used in video analysis. Video analysis tasks usually need to continuously collect videos from video sources, and transmit the collected videos to the server to execute video analysis algorithms. Video analysis tasks require high accuracy of video analysis results, so a large amount of network bandwidth resources and computing resources need to be consumed. [0003] In the prior art, a video source collects original video frames, encodes a group of pictures with a preset batch size, and transmits encoded video segments to a server. The server side decodes the received video clips and converts them into video frames, and the preset batch size of video frames is the input of the video ana...

Claims

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Application Information

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IPC IPC(8): H04L41/0803H04L41/0896H04L41/14
CPCH04L41/0803H04L41/0896H04L41/145
Inventor 张磊张雨庆伍曦明崔来中
Owner SHENZHEN UNIV