TW202301874A - Video data transmission method, electronic device, and storage medium - Google Patents

Abstract

A video data transmission method, an electronic device, and a storage medium are provided. The method includes: capturing a video of a scene, recognizing at least one moving target and background; recognizing moving target information and background information in each video; comparing the moving target information in the currently captured video with the moving target information in the previous video, to determine a attribute change value and a motion trajectory change value of the moving target; comparing the background information in the currently captured video with the background information in the previous video, to determine a change value of the background pixel; if at least one of the attribute change value, the motion trajectory change value, and the pixel change value is greater than or equal to a corresponding threshold, determining the attribute, motion trajectory, or background of the moving target corresponding to the at least one value as video data to be transmitted; transmitting the video data to a server.

Description

Video data transmission method, electronic device and storage medium

The present application relates to the technical field of video processing, and in particular to a video data transmission method, an electronic device and a storage medium.

Video can provide users with intuitive and vivid information, so video-related streaming media technology and self-media industry are developing rapidly. The transmission of video data usually includes shooting video at the acquisition end, encoding and transmitting the captured video to the server, and then the server distributes the video data to each terminal for playback. However, due to the large capacity occupied by video data, the processing capability of the terminal is relatively high, and the transmission of video data has extremely high requirements on network bandwidth, which is likely to cause transmission delay or even network congestion, and the storage of a large amount of video data will also Causes greater storage pressure on the server.

In view of this, it is necessary to provide a video data transmission method, an electronic device and a storage medium, which can only transmit the video data with large changes in the collected videos.

This application provides a video data transmission method, including:

Taking a video of a scene in real time by a camera device, and identifying moving objects and backgrounds in the scene according to at least one section of the video taken;

Identifying moving target information and background information in each segment of the video, wherein the moving target information includes at least the attributes and motion tracks of the moving target, and the background information includes at least the pixel value of the background;

Comparing the information of the moving object in the currently captured video with the information of the moving object in the last video taken, to determine the attribute change value and the change value of the moving track of the moving object;

Comparing the background information in a currently captured video with the background information in a previous video captured to determine the pixel value change value of the background;

If at least one of the attribute change value, the motion track change value, and the pixel value change value is greater than or equal to the corresponding threshold, the attribute, motion track, or The background is used as video material to be transmitted;

The video data to be transmitted is coded and transmitted to the server, and the received video data is fused with the previous video by the server and sent to the receiving end for playback.

Optionally, the method also includes:

If the attribute change value, the motion track change value and the pixel value change value are all smaller than the corresponding threshold value, send a control command to the server, and send the last video through the server to the receiver for playback.

Optionally, the method also includes:

Dividing the video captured in real time into a plurality of segments;

When the moving target in the scene is not recognized, the first segment of the captured video is encoded and transmitted to the server.

Optionally, the identifying the moving target and the background in the scene according to at least one video in the captured video includes:

Input each section of video taken into the target tracking model, and identify the moving target in the scene by the target tracking model;

Taking the area outside the moving target in the scene as the background.

Optionally, the moving target information and background information in each section of video taken by the identification includes:

Image recognition is performed on the video frame images in each segment of video to obtain the attribute of the moving object and the pixel value of the background.

Optionally, the moving target information and background information in each section of video taken by the identification also includes:

Determining whether the moving target is a human or an animal by image recognition;

If it is determined that the moving target is a human or an animal, the joints of the human or animal are identified by a gesture recognition model, the coordinates of the joints are determined, and the trajectory of the moving target is determined according to the change in coordinates of the joints;

If it is determined that the moving object is not a person or an animal, the rectangular frame of the moving object is determined by the object tracking model, the center point of the rectangular frame is determined, and the movement of the moving object is determined according to the coordinate change of the center point track.

Optionally, comparing the moving target information in a currently captured video with the moving target information in a previous captured video includes:

Calculating the difference between the attribute of the moving object in the currently shot video and the attribute of the moving object in the last video shot, as the attribute change value of the moving object;

Calculating the difference between the trajectory of the moving object in the currently captured video and the trajectory of the moving object in the previous video taken as the variation value of the trajectory of the moving object;

The comparing the background information in a currently captured video with the background information in a previous video captured includes:

Calculate the difference between the pixel value of the background in the currently shot video and the pixel value of the background in the last video shot, as the change value of the background pixel value.

Optionally, the method also includes:

Judging whether the property change value is greater than or equal to a first threshold, judging whether the motion track change value is greater than or equal to a second threshold, and judging whether the pixel value change value is greater than or equal to a third threshold.

The present application also provides an electronic device, including:

processor; and

A memory, wherein a plurality of program modules are stored in the memory, and the plurality of program modules are loaded by the processor to execute the above video data transmission method.

The present application also provides a computer-readable storage medium, on which at least one computer instruction is stored, and the instruction is loaded by a processor to execute the above video data transmission method.

The above-mentioned video data transmission method, electronic device and storage medium can only transmit the video content with large changes in the collected video, which reduces the data volume of video transmission, thereby reducing the pressure of data processing and network transmission, and at the same time reducing the pressure of the server. storage pressure.

In order to more clearly understand the above objects, features and advantages of the present application, the present application will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

A lot of specific details are set forth in the following description to facilitate a full understanding of the application, and the described embodiments are only a part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the specification of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application.

Please refer to FIG. 1 , which is a schematic diagram of an application environment architecture of a video data transmission method provided by a preferred embodiment of the present application.

The video data transmission method in this application is applied in the electronic device 1, and the electronic device 1 establishes a communication connection with the server 2 and the receiving end 3 through the network. The network may be a wired network or a wireless network, such as radio, wireless fidelity (Wireless Fidelity, WIFI), cellular, satellite, broadcast, and the like. The cellular network can be a 4G network or a 5G network.

The electronic device 1 can be an electronic device installed with a video data transmission program, such as a smart phone, a personal computer, a server, etc., wherein the server can be a single server, a cluster of servers, or a cloud server.

The server 2 can be a single server, a server cluster, a cloud server, and the like. The receiving end 3 may be a smart phone, a personal computer, a smart TV, and the like.

Please refer to FIG. 2 , which is a flowchart of a video data transmission method provided by a preferred embodiment of the present application. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

S201. Shoot a video of a scene in real time by a camera device, and identify a moving target and a background in the scene according to at least one video in the shot video.

In an implementation manner, the scene may be a teaching class, a TV program, and the like. S201 includes: dividing the video captured in real time into a plurality of segments, inputting each segment of the captured video into a target tracking model, using the target tracking model to identify the moving target in the scene, and the moving target in the scene The area outside serves as the background. In an embodiment, the video shot in real time is evenly divided into a plurality of segments whose duration is a preset time, and optionally, the preset time is one second.

In one embodiment, the target tracking model is an SA-Siam model. Please refer to FIG. 3 , which is a schematic structural diagram of the SA-Siam model. In the SA-Siam model, S represents the Semantic branch, including the boxes connected by solid lines in Figure 3, and A represents the Appearance branch, including the boxes connected by dotted lines in Figure 3. A-Net is the SiamFC network, and S-Net uses the network trained in the ImageNet image classification task, and freezes all parameters in the network, and realizes migration learning by training the fusion module (fuse) in the semantic branch . An attention module (attention) is introduced in the semantic branch to highlight target objects while weakening non-target objects. In the SA-Siam model, the two branches finally obtain the response map h by correlating with the target in the first video frame image in the feature space, and the weighted average of the two response maps is obtained to obtain the final response map, and the final response map is found The maximum response point in the current video frame, and interpolated to the position in the current video frame image, the target position of the current video frame can be obtained, so as to complete the tracking of the target in the current video frame, the target in the first video frame and the current video frame If the target moves, it is determined that the target is a moving target.

In one embodiment, S201 further includes: when no moving object in the scene is recognized, encoding and transmitting the first segment of the captured video to the server 2 . It can be understood that when the moving target in the scene is not identified, the video picture is considered as unchanged, so it is only necessary to encode and transmit the first segment of the captured video to the server 2, and the server 2 2. Decoding the video at the first end and continuously distributing it to the receiving end 3 for playing.

S202. Identify the moving target information and background information in each captured video.

In one embodiment, the moving object information includes at least the attribute and the moving track of the moving object, the attribute of the moving object may be at least one of quantity, pixel value, and shape area, and the background information includes at least the The pixel value of the background. Wherein, the shape area is the number of pixels contained in the shape of the moving target.

In one embodiment, S202 includes: performing image recognition on video frame images in each segment of video to acquire attributes of the moving object and pixel values of the background. Optionally, the attribute of the moving target includes pixel value and shape area. The pixel value and shape area of the moving object and the pixel value of the background can be obtained by an image recognition method, for example, the image recognition method is OpenCV image recognition.

In one embodiment, S202 further includes: determining whether the moving target is a person or an animal by image recognition. If it is determined that the moving object is a human or an animal, the joints of the human or animal are identified by a gesture recognition model, the coordinates of the joints are determined, and the moving track of the moving object is determined according to the coordinate changes of the joints. If it is determined that the moving object is not a person or an animal, the rectangular frame of the moving object is determined by the object tracking model, the center point of the rectangular frame is determined, and the movement of the moving object is determined according to the coordinate change of the center point track.

Please refer to FIG. 4 , in an implementation manner, the gesture recognition model is an open-pose model. Input multiple video frame images of a section of video into the gesture recognition model, the gesture recognition model uses VGG-19 to preprocess the video frame images to generate a feature map F, and input the feature map F to the first stage ( Stage 1), generate PAFs (Part Affinity Fields, partial affinity domain) in the first stage, that is, the direction of pixels on the human or animal skeleton, and in each subsequent stage (Stage t) the prediction of the previous stage Associated with the feature map F of the original video frame image, a fine prediction is generated, and the feature points on the human or animal skeleton, that is, the joint points, are generated through repeated operations. The coordinates of the joint points are pixel coordinates, that is, the pixel point positions corresponding to the joint points, and some key joint points can be selected from the identified joint points. Optionally, the key joint points include head joint points, elbow Joint points, wrist joint points and knee joint points. The key joint points are tracked by the gesture recognition model, and the moving distance of each key joint point in the video is calculated according to the coordinate changes of the key joint points as the movement track of the moving object. It should be noted that the shooting range of the camera device is fixed, and when the person or animal moves, the pixel coordinates of the key joint points will change.

In one embodiment, if it is determined that the moving target is not a person or an animal, the moving target is identified by the above-mentioned SA-Siam model, and the minimum frame including the moving target is determined as the identification of the moving target frame, using the identification frame of the moving target as the rectangular frame of the moving target, determining the center point of the rectangular frame, and calculating the moving distance of the moving target in the segment of video according to the coordinate change of the center point , to determine the trajectory of the moving object. Wherein, the coordinates of the central point are pixel coordinates, that is, the pixel position corresponding to the central point.

S203. Compare the information of the moving object in the currently captured video with the information of the moving object in the last video captured, so as to determine the attribute change value and the movement track change value of the moving object.

In one embodiment, the attribute of the moving object in the currently shot video is compared with the attribute of the moving object in the last shot video, and the difference between the attribute of the moving object in the currently shot video is calculated. The difference between the attributes of the moving object in the last video shot is used as the attribute change value of the moving object. For example, the difference between the pixel value of the moving object in a currently captured video and the pixel value of the moving object in a previous video captured is calculated as the attribute change value of the moving object.

In one embodiment, the trajectory of the moving object in the currently captured video is compared with the trajectory of the moving object in the previous video captured, and the trajectory of the moving object in the currently captured video is calculated. The difference between the motion trajectory and the motion trajectory of the moving object in the last captured video is used as the variation value of the motion trajectory of the moving object.

S204. Compare the background information in a currently captured video with the background information in a previous captured video, so as to determine a pixel value change value of the background.

In one embodiment, the pixel value of the background in the currently captured video is compared with the pixel value of the background in the previous video captured, and the pixel value and the pixel value of the background in the currently captured video are calculated. The difference between the pixel values of the background in the last captured video is used as the change value of the pixel value of the background. In one embodiment, the pixel value of the background is an average pixel value of all objects in the background.

S205. Determine whether the attribute change value is greater than or equal to a first threshold, determine whether the motion trajectory change value is greater than or equal to a second threshold, and determine whether the pixel value change value is greater than or equal to a third threshold.

S206. If at least one of the attribute change value, the motion track change value, and the pixel value change value is greater than or equal to a corresponding threshold, set the attribute, motion The track or the background is used as the video material to be transmitted.

In one embodiment, if it is determined that the attribute change value is greater than or equal to a first threshold, the attribute of the moving object is used as the video data to be transmitted. For example, if it is determined that the change value of the pixel value of the moving object is greater than or equal to the first threshold, the pixel value of the moving object is used as the video data to be transmitted. If it is determined that the change value of the moving track is greater than or equal to the second threshold, the moving track of the moving object is used as the video data to be transmitted. If it is determined that the change value of the pixel value of the background is greater than or equal to the third threshold, the pixel value of the background is used as the video data to be transmitted.

In one embodiment, if it is determined that the attribute change value is greater than or equal to the first threshold, and the change value of the motion trajectory is greater than or equal to the second threshold, the attribute and motion trajectory of the moving object are used as the video data to be transmitted. . If it is determined that the change value of the attribute is greater than or equal to the first threshold, and the change value of the pixel value of the background is greater than or equal to the third threshold, the attribute of the moving object and the pixel value of the background are used as the video data to be transmitted . If it is determined that the change value of the moving track is greater than or equal to the second threshold, and the change value of the pixel value of the background is greater than or equal to the third threshold, the moving track of the moving object and the pixel value of the background are used as the to-be-transmitted Video material.

In one embodiment, if it is determined that the change value of the attribute is greater than or equal to the first threshold, and the change value of the motion track is greater than or equal to the second threshold, and the change value of the pixel value of the background is greater than or equal to the third threshold, The attribute, motion trajectory of the moving object and the pixel value of the background are used as the video data to be transmitted.

S207, encode and transmit the video data to be transmitted to the server 2, and use the server 2 to fuse the received video data with the previous video and send it to the receiving end 3 for playback.

In one embodiment, the video data to be transmitted is encoded and then transmitted to the server 2, the server 2 decodes the received video data, and combines the decoded video data with the last video The video data are fused to form a complete video. In the process of merging the video data, the received video data is updated to the video data of the previous video, that is, the video data with a large change is updated, and the video data with little or no change are still From the above mentioned video. For example, if the video data to be transmitted is the moving track of the moving target, the server 2 will fuse the received moving track of the moving target with the last segment of video, that is, combine the last segment of video The movement trajectory of the moving object in the video is replaced with the current movement trajectory of the moving object, thereby forming a complete video.

In one embodiment, the server 2 distributes the fused video to the receiving end 3 through a content distribution network for playback.

If at least one of the attribute change value, the motion track change value, and the pixel value change value is greater than or equal to the corresponding threshold value, it means that the attribute of the moving object, the motion track, or the pixel value change of the background Larger, only the video data with a large change is encoded and transmitted to the server 2, without affecting the immediacy of the video, it reduces the processing pressure and transmission pressure of the video data, and at the same time reduces the impact on the server 2. The storage pressure of video data.

S208, if the attribute change value, the motion trajectory change value and the pixel value change value are all smaller than a threshold, send a control instruction to the server 2, and send the last video through the server 2 to the receiver 3 for playback.

If the attribute change value, the motion track change value and the pixel value change value are all less than the threshold value, it means that the attribute of the moving object, the motion track, and the pixel value of the background have little or no change. The currently shot video data is transmitted to the server 2, without affecting the immediacy of the video, reducing the processing pressure and transmission pressure of the video data, and at the same time reducing the storage pressure of the server 2 on the video data.

In one embodiment, the control instruction is used to instruct the server 2 to directly send the last segment of video to the receiving end 3 for playback without performing video fusion.

It should be noted that the video data transmission method of the present application only includes the processing of video images, and the sound of the video is still transmitted and played in real time and synchronously, so although the video that the user sees through the receiving end 3 is blended, but the sound is still played synchronously so that it does not interfere with the user watching the video.

The video data transmission method provided by this application can only transmit the video content with large changes in the collected video, reduce the data volume of video transmission, thereby reducing the pressure of data processing and network transmission, and at the same time reduce the storage pressure of the server.

Please refer to FIG. 5 , which is a schematic structural diagram of an electronic device provided in a preferred embodiment of the present application.

The electronic device 1 includes, but not limited to, a processor 10 , a memory 20 , a computer program 30 stored in the memory 20 and capable of running on the processor 10 , and a camera 40 . For example, the computer program 30 is a video data transmission program. When the processor 10 executes the computer program 30, the steps in the video data transmission method are realized, such as steps S201-S208 shown in FIG. 2 .

Exemplarily, the computer program 30 can be divided into one or more modules/units, and the one or more modules/units are stored in the memory 20 and executed by the processor 10 , to complete this application. The one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 30 in the electronic device 1 .

Those skilled in the art can understand that the schematic diagram is only an example of the electronic device 1 and does not constitute a limitation to the electronic device 1. It may include more or less components than those shown in the illustration, or combine certain components, or have different Components, for example, the electronic device 1 may also include input and output devices, network access devices, bus bars, and the like.

The so-called processor 10 can be a central processing unit (Central Processing Unit, CPU), and can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC) , Ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor 10 can also be any conventional processor, etc., the processor 10 is the control center of the electronic device 1, and uses various interfaces and lines to connect the entire electronic device 1. various parts.

The memory 20 can be used to store the computer program 30 and/or module/unit, and the processor 10 runs or executes the computer program and/or module/unit stored in the memory 20, And calling the data stored in the memory 20 to realize various functions of the electronic device 1 . The memory 20 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program (such as a sound playback function, an image playback function, etc.) required by at least one function, etc.; The area can store data (such as audio data, phone book, etc.) created according to the use of the electronic device 1 . In addition, the memory 20 can include volatile and non-volatile memory, such as hard disk, memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash memory card (Flash Card), at least one disk memory component, flash memory device, or other memory components. The camera device 40 is a CCD camera.

If the integrated modules/units of the electronic device 1 are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, all or part of the processes in the methods of the above embodiments of the present application can also be completed by instructing related hardware through computer programs, and the computer programs can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can realize the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code may be in the form of original code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read- Only Memory), Random Access Memory (RAM, Random Access Memory).

The video data transmission method, electronic device, and storage medium provided by this application can only transmit the video content that changes greatly in the collected video, reduce the amount of video transmission data, thereby reducing the pressure of data processing and network transmission, and at the same time Server storage pressure.

It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, but that the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, no matter from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present application is defined by the appended patent scope rather than the above description, so it is intended that the scope of the application shall be All changes within the meaning and range of equivalents of the patent claims are embraced in this application. Any reference sign in a claim should not be construed as limiting the claim involved. In addition, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or devices stated in the scope of patent application for devices can also be realized by the same unit or device through software or hardware. The words first, second, etc. are used to denote names and do not imply any particular order.

In summary, the present invention meets the requirements of an invention patent, and a patent application is filed according to law. However, what is described above is only a preferred embodiment of the present invention, and all equivalent modifications or changes made by those who are familiar with the technology of the present invention according to the spirit of the present invention should be covered by the scope of the following patent application.

1: Electronic device 10: Processor 20: memory 30: Computer program 40: camera device 2: Server 3: Receiver S201~S208: steps

FIG. 1 is a schematic diagram of an application environment architecture of a video data transmission method provided by a preferred embodiment of the present application. Fig. 2 is a flowchart of a video data transmission method provided by a preferred embodiment of the present application. Fig. 3 is a schematic structural diagram of a target tracking model provided by a preferred embodiment of the present application. Fig. 4 is a schematic structural diagram of a gesture recognition model provided by a preferred embodiment of the present application. FIG. 5 is a schematic structural diagram of an electronic device provided in a preferred embodiment of the present application.

S201~S208: steps

Claims (10)

A video data transmission method, wherein the method includes: Taking a video of a scene in real time by a camera device, and identifying moving objects and backgrounds in the scene according to at least one section of the video taken; Identifying moving target information and background information in each segment of the video, wherein the moving target information includes at least the attributes and motion tracks of the moving target, and the background information includes at least the pixel value of the background; Comparing the information of the moving object in the currently captured video with the information of the moving object in the last video taken, to determine the attribute change value and the change value of the moving track of the moving object; Comparing the background information in a currently captured video with the background information in a previous video captured to determine the pixel value change value of the background; If at least one of the attribute change value, the motion track change value, and the pixel value change value is greater than or equal to the corresponding threshold, the attribute, motion track, or The background is used as video material to be transmitted; The video data to be transmitted is coded and transmitted to the server, and the received video data is fused with the previous video by the server and sent to the receiving end for playback. The video data transmission method as described in claim 1, wherein the method further includes: If the attribute change value, the motion track change value and the pixel value change value are all smaller than the corresponding threshold value, send a control command to the server, and send the last video through the server to the receiver for playback. The video data transmission method as described in claim 2, wherein the method further includes: Dividing the video captured in real time into a plurality of segments; When the moving target in the scene is not recognized, the first segment of the captured video is encoded and transmitted to the server. The video data transmission method as described in Claim 1, wherein said identifying the moving target and the background in the scene according to at least one segment of the captured video includes: Input each section of video taken into the target tracking model, and identify the moving target in the scene by the target tracking model; Taking the area outside the moving target in the scene as the background. The video data transmission method as described in claim item 1, wherein, the moving target information and background information in each section of video taken by the identification includes: Image recognition is performed on the video frame images in each segment of video to obtain the attribute of the moving object and the pixel value of the background. The video data transmission method as described in claim item 5, wherein the identification of moving target information and background information in each section of video taken further includes: Determining whether the moving target is a person or an animal by image recognition; If it is determined that the moving object is a human or an animal, the joints of the human or animal are identified by a gesture recognition model, the coordinates of the joints are determined, and the trajectory of the moving object is determined according to the change in the coordinates of the joints; If it is determined that the moving object is not a person or an animal, the rectangular frame of the moving object is determined by the object tracking model, the center point of the rectangular frame is determined, and the movement of the moving object is determined according to the coordinate change of the center point track. The video data transmission method as described in Claim 1, wherein said comparing the moving target information in the currently captured video with the moving target information in the previous captured video includes: Calculating the difference between the attribute of the moving object in the currently shot video and the attribute of the moving object in the last video shot, as the attribute change value of the moving object; Calculating the difference between the trajectory of the moving object in the currently captured video and the trajectory of the moving object in the previous video taken as the variation value of the trajectory of the moving object; The comparing the background information in a currently captured video with the background information in a previous video captured includes: Calculate the difference between the pixel value of the background in a currently shot video and the pixel value of the background in a previous video shot, as the change value of the background pixel value. The video data transmission method as described in claim 1, wherein the method further includes: Judging whether the attribute change value is greater than or equal to a first threshold, judging whether the motion trajectory change value is greater than or equal to a second threshold, and judging whether the pixel value change value is greater than or equal to a third threshold. An electronic device, wherein the electronic device includes: processor; and A memory, wherein a plurality of program modules are stored in the memory, and the plurality of program modules are loaded by the processor to execute the video data transmission method as described in any one of claims 1 to 8. A computer-readable storage medium, on which at least one computer instruction is stored, wherein the instruction is loaded by a processor to execute the video data transmission method described in any one of claims 1-8.

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