CN112218025A - Data processing method, device, server and storage medium - Google Patents

Data processing method, device, server and storage medium Download PDF

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Publication number
CN112218025A
CN112218025A CN202010911620.6A CN202010911620A CN112218025A CN 112218025 A CN112218025 A CN 112218025A CN 202010911620 A CN202010911620 A CN 202010911620A CN 112218025 A CN112218025 A CN 112218025A
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video data
processed
processing
data
preset
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王淑鹏
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Beijing Megvii Technology Co Ltd
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Beijing Megvii Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/76Television signal recording
    • H04N5/91Television signal processing therefor
    • H04N5/92Transformation of the television signal for recording, e.g. modulation, frequency changing; Inverse transformation for playback
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/76Television signal recording
    • H04N5/91Television signal processing therefor

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  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

The embodiment of the application provides a data processing method, a data processing device, a server and a storage medium, wherein the method comprises the following steps: analyzing the original video data to determine whether the original video data comprises video data to be processed and whether the original video data comprises non-video data to be processed; performing preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed; in the case where the target video data exists, a storage operation for the target video data is performed. The processing for saving the storage space of the video data is carried out on the video data which is not related to the target object, so that the storage space of the video data is saved.

Description

Data processing method, device, server and storage medium
Technical Field
The present application relates to the field of operation and maintenance technologies, and in particular, to a data processing method, an apparatus, a server, and a storage medium.
Background
In a security system, a video data storage link is a prepositive link for executing various security tasks. The execution of the security tasks depends on the stored video data.
At present, the commonly adopted mode is as follows: the encoded raw video data acquired from the camera is directly stored. For a large amount of video data which are not related to a target object in the encoded original video data, a large amount of storage resources are occupied, waste of the storage resources is caused, and more resources are additionally consumed when a security task is executed.
Disclosure of Invention
In order to overcome the problems in the related art, the application provides a data processing method, a data processing device, a server and a storage medium.
According to a first aspect of embodiments of the present application, there is provided a data processing method, including:
analyzing original video data to determine whether the original video data comprises video data to be processed and non-video data to be processed, wherein the video data to be processed is video data which is not associated with a target object, and the non-video data to be processed is video data which is associated with at least one target object;
performing preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed, wherein the preset processing is used for saving the storage space of the video data;
in the presence of target video data, performing a storage operation for the target video data, the target video data comprising one of: the video processing method comprises the steps of presetting processed video data, non-to-be-processed video data, presetting processed video data and non-to-be-processed video data.
According to a second aspect of embodiments of the present application, there is provided a data processing apparatus comprising:
an analysis unit configured to analyze raw video data to determine whether the raw video data includes to-be-processed video data and non-to-be-processed video data, wherein the to-be-processed video data is video data not associated with a target object, and the non-to-be-processed video data is video data associated with at least one target object;
the processing unit is configured to perform preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed, wherein the preset processing is used for saving a video data storage space;
a storage unit configured to perform a storage operation for target video data in the presence of the target video data, the target video data including one of: the video processing method comprises the steps of presetting processed video data, non-to-be-processed video data, presetting processed video data and non-to-be-processed video data.
According to the data processing method and device provided by the embodiment of the application, whether the original video data comprises the video data to be processed or not and whether the original video data comprises the non-video data to be processed or not is determined by analyzing the original video data; performing preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed; in the case where the target video data exists, a storage operation for the target video data is performed. The processing for saving the storage space of the video data is carried out on the video data which is not related to the target object, so that the storage space of the video data is saved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart illustrating a data processing method provided by an embodiment of the present application;
FIG. 2 shows a schematic flow chart for processing video data;
fig. 3 shows a block diagram of a data processing apparatus according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows a flowchart of a data processing method provided in an embodiment of the present application, where the method includes:
step 101, analyzing the raw video data to determine whether the raw video data includes video data to be processed and whether the raw video data includes non-video data to be processed.
Raw video data is captured by a camera, the raw video data comprising: image data of images captured by the camera or image data of images captured by a number of cameras over a period of time. The camera configuration is comprised of a processor, memory, camera, communication device, etc. The camera may capture an image of the area that the camera is responsible for monitoring through the camera head.
It should be understood that the locations where the steps 101-103 appear in the present application do not constitute a limitation on the execution order. If the original video data does not include the video data to be processed, that is, the entire original video data is the non-video data to be processed, and the image to which each image data in the original video data belongs includes at least one target object, step 102 is not executed, and step 103 is directly executed.
If the original video data does not include the non-to-be-processed video data, that is, the entire original video data is to-be-processed video data, an image to which each image data in the original video data belongs does not include a target object, and if the original video data is clipped, step 103 is not performed.
For each camera, the server executing the data processing method provided by the embodiment of the present application may perform at least part of the steps in the steps 101 and 103 each time the server processes the raw video data collected by the camera.
Thus, the operations described in steps 101-103 are exemplary operations that may be performed in processing raw video data captured by one camera at a time.
In some embodiments, before analyzing the raw video data, the method further comprises: acquiring encoded original video data; and decoding the encoded original video data to obtain the original video data.
In the present application, the encoded raw video data is obtained by encoding raw video data collected by a camera, for example, by encoding raw video data collected by a camera in an encoding manner of the H264 standard.
When the camera encodes the original video data acquired by the camera, each image data in the original video data acquired by the camera is encoded respectively to obtain each encoded image data. The encoded raw video data includes each of the encoded image data.
In this application, when acquiring encoded raw video data, the encoded raw video data may be actively acquired from a corresponding camera by a server executing the data processing method provided by the embodiment of the present application. The encoded raw video data may also be actively transmitted by the camera. When the camera actively sends the coded original video data, the camera can send the identification of the camera to the server besides sending the coded original video data, so that the server can determine which camera the coded original video data are collected by according to the identification of the camera.
In the present application, each image data in the raw video data may be analyzed by a server executing the data processing method provided by the embodiment of the present application.
In the application, each image data can be analyzed by using a convolutional neural network trained in a deep learning manner in advance, and a target object in an image to which each image data belongs is determined, so as to determine whether the original video data comprises video data to be processed and whether the original video data comprises non-video data to be processed.
In this application, the raw video data comprises at least one pending video data and/or at least one non pending video data.
The video data to be processed is video data which is not associated with any target object. The type of the target object may be a pedestrian, a vehicle, or the like.
For a piece of to-be-processed video data, the to-be-processed video data may be video data of a video segment in a video to which the original video data belongs or the to-be-processed video data may be the entire original video data.
The image to which each image data in the video data to be processed belongs does not include any target object, and the video data to be processed is video data which is not related to any target object.
In other words, the video data to be processed is composed of a plurality of image data not including an image of any one target object.
For a non-to-be-processed video data, the non-to-be-processed video data may be video data of a video segment in a video to which the original video data belongs or the non-to-be-processed video data may be the entire original video data. The image to which each image data in the non-to-be-processed video data belongs includes at least one target object, and the non-to-be-processed video data is video data associated with the at least one target object.
In some embodiments, the types of target objects include: human face, pedestrian, vehicle, preset interested object and moving object; analyzing the raw video data includes: performing one or more of the following operations on at least a portion of image data in the raw video data: face detection, pedestrian detection, vehicle detection, preset interested object detection and moving object detection.
For each target object, the target object may be one of: human face, pedestrian, vehicle, preset interested object and moving object.
The partial image data in the original video data is composed of a plurality of image data in the original video data. For example, a part of image data in the original video data is image data of a video segment of a video to which the original video data belongs, the image data of the video segment being composed of image data of a plurality of images belonging to the video segment, and correspondingly, a part of image data is composed of image data of a plurality of images belonging to the video segment.
When the type of the target object to be detected includes a face, each image data in the original video data or each image data in the partial image data may be input to the convolutional neural network for face detection, respectively, so as to detect whether the image to which each input image data belongs includes a face by the convolutional neural network for face detection.
When the type of the target object to be detected includes the type of a pedestrian, each of the image data in the original video data or each of the image data in the partial image data may be input to the convolutional neural network for pedestrian detection, respectively, to detect, by the convolutional neural network for pedestrian detection, whether or not the image to which each of the input image data belongs includes a pedestrian, respectively.
When the type of the target object that needs to be detected includes the type of the vehicle, each of the image data in the original video data or each of the image data in the partial image data may be input to the convolutional neural network for vehicle detection, respectively, to detect, by the convolutional neural network for vehicle detection, whether or not the image to which each of the input image data belongs includes the vehicle, respectively.
When the type of the target object to be detected includes the type of the preset object of interest, each image data in the original video data or each image data in the partial image data may be respectively input to the convolutional neural network for preset object of interest detection, so as to detect, by the convolutional neural network for preset object of interest detection, whether the image to which each input image data respectively belongs includes the preset object of interest.
When the type of the target object to be detected includes the type of a moving object, each image data in the original video data or each image data in the partial image data may be input to the convolutional neural network for moving object detection, respectively, to detect whether or not the image to which each input image data belongs includes a moving object by the convolutional neural network for moving object detection.
And 102, performing preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed.
In the present application, the presetting process is used to save the video data storage space.
For a piece of to-be-processed video data, the to-be-processed video data may be video data of a video segment in a video to which the original video data belongs or the to-be-processed video data may be the entire original video data.
When the video data to be processed is video data of a video segment in a video to which the original video data belongs, the preset processing may include: dividing the video segment to which the video data to be processed belongs into a plurality of sub-video segments, removing image data of a sub-video segment belonging to a certain sub-video segment and a sub-video segment positioned in front of the certain sub-video segment, reserving image data of a sub-video segment belonging to a sub-video segment behind the certain sub-video segment, and taking the image data of the sub-video segment behind the certain sub-video segment as preset processed video data.
In the case where the original video data includes a plurality of to-be-processed video data, each of the to-be-processed video data may be subjected to a preset process.
When the video data to be processed is the entire original video data, the preset processing may include: the video to which the original video data belongs may be divided into a plurality of video segments, image data belonging to a certain video segment and a video segment located before the certain video segment is removed, image data belonging to a video segment after the certain video segment is retained, and image data belonging to a video segment after the certain video segment is taken as video data subjected to the preset processing.
In some embodiments, the pre-set process comprises one of: cutting processing, compressing processing and abstract processing.
In the present application, the preset processing of the video data to be processed may be clipping processing. When the video data to be processed is cut, the video data to be processed is not stored, which is equivalent to directly discarding the video data to be processed. When the original video data includes a plurality of to-be-processed video data, each to-be-processed video data can be clipped without storing any one to-be-processed video data. When the video data to be processed is the whole original video data, the whole original video data can be cut, and the whole original video data is not stored.
In this application, the preset processing operation on the video data to be processed in the original video data may be compression processing. The compression process may be an operation of performing a resolution reduction process on a part of image data in the video data to be processed. A portion of the image data may be selected in a random manner.
For a piece of video data to be processed, performing resolution reduction processing on a part of the image data is equivalent to reducing the resolution of an image to which each piece of image data in the part of the image data belongs.
In this application, the preset processing on the video data to be processed in the original video data may be summary processing. The summarization process is used for extracting a part of video data from the video data to be processed as the video data subjected to the preset process.
For example, for a piece of to-be-processed video data, the to-be-processed video data is video data of a video segment in a video to which the original video data belongs, and the to-be-processed video data is composed of image data of each image of the video segment. The digest process may include: the video segment is divided into a plurality of sub-video segments, a part of the sub-video segments can be extracted in a random mode, and the image data of the extracted part of the sub-video segments is used as the video data subjected to the preset processing.
In some embodiments, the pre-set process is a compression process; and when the original video data comprises the video data to be processed, the preset processing of the video data to be processed comprises the following steps: and performing resolution reduction processing on at least part of image data in the video data to be processed to obtain preset processed video data.
In the present application, image data obtained after subjecting image data to resolution reduction processing may be referred to as resolution reduction-processed image data. The preset processed video data includes: each of the image data subjected to the resolution reduction processing.
When the preset processing performed on the video data to be processed in the original video data is compression processing, resolution reduction processing may be performed on a part of image data in the video data to be processed to obtain video data subjected to the preset processing. Resolution reduction processing can be respectively carried out on each image data in the partial image data in the video data to be processed, and corresponding image data subjected to resolution reduction processing is obtained. All the obtained image data subjected to resolution reduction processing constitute video data subjected to preset processing.
When the preset processing of the video data to be processed in the original video data is compression processing, resolution reduction processing may also be performed on each image data in the video data to be processed in the original video data.
For example, for a piece of video data to be processed, the video data to be processed belongs to a video segment, and performing resolution reduction processing on each piece of image data in the video data to be processed is equivalent to reducing the resolution of the image to which each piece of image data in the video data to be processed belongs.
In some embodiments, the pre-set process is a compression process; under the condition that the original video data comprises the video data to be processed, the presetting processing of the video data to be processed comprises the following steps: and performing encoding compression ratio increasing processing on the video data to be processed to obtain video data subjected to preset processing, wherein the encoding compression ratio increasing processing is used for enabling the encoding compression ratio corresponding to the video data subjected to the preset processing to be higher than the preset encoding compression ratio.
When the preset process of the video data to be processed in the original video data is a compression process, the compression process may be an encoding compression ratio increasing process for increasing the encoding compression ratio.
The preset encoding compression rate may be an encoding compression rate used when encoding the acquired video to obtain encoded original video data.
When encoding the non-to-be-processed video data, a preset encoding compression rate may be adopted.
The encoding compression ratio corresponding to the video data subjected to the preset processing is higher than the preset encoding compression ratio, so that when the video data subjected to the preset processing is encoded, the video data subjected to the preset processing can be encoded at the encoding compression ratio higher than the encoding compression ratio corresponding to the video data not to be processed, and the storage space of the video data is saved.
In some embodiments, the predetermined process is a digest process; and when the original video data comprises the video data to be processed, the preset processing of the video data to be processed comprises the following steps: extracting a plurality of image data from the video data to be processed, and taking the extracted plurality of image data as the video data subjected to the preset processing.
When the video data to be processed is subjected to the summarization process, a plurality of image data may be extracted from the video data to be processed. Each image data in the video data to be processed belongs to one image. The sequence of each image data in the video data to be processed is consistent with the sequence of the acquisition time of the image to which each image data belongs.
For example, it is possible to extract the next image data every time a preset number of image data intervals from the most recently extracted image data, and finally, take the extracted plurality of image data as the video data subjected to the preset processing.
When the video data to be processed is the video data of one video segment in the video to which the original video data belongs, extracting a plurality of image data from the video data to be processed, taking the plurality of extracted image data as the video data subjected to the preset processing, which is equivalent to extracting a plurality of images from the video segment, and taking the image data of the plurality of extracted images as the video data subjected to the preset processing.
And 103, in the case that the target video data exists, executing a storage operation aiming at the target video data.
In the present application, the target video data includes one of: the video processing method comprises the steps of presetting processed video data, non-to-be-processed video data, presetting processed video data and non-to-be-processed video data.
If the whole original video data is to-be-processed data and the preset processing of the to-be-processed video data is cutting processing, target video data does not exist, the original video data cannot be stored, and the method is equivalent to directly discarding the original video data.
The whole original video data is data to be processed, which is equivalent to that each image data in the original video data belongs to an image without a target object.
In other words, the original video data belongs to a video, and the whole original video data is data to be processed, which means that each image in the video does not include a target object.
If the whole original video data is to-be-processed data and the preset processing performed on the to-be-processed video data is processing other than the cutting processing, target video data exists, and the target video data is preset video data obtained after the whole original video data is processed.
If the whole original video data is a non-to-be-processed data, the target video data exists, and the whole original video data is the target video data.
The whole original video data is a non-to-be-processed data, which is equivalent to that each image data in the original video data belongs to an image comprising at least one target object.
In other words, the original video data belongs to a video, and the whole original video data is a non-to-be-processed data, which is equivalent to that each image in the video respectively comprises at least one target object.
If the original video data comprises at least one piece of data to be processed and at least one piece of non-data to be processed, and the preset processing of the video data to be processed is cutting processing, target video data exists, and each piece of video data to be processed is cut, which is equivalent to directly discarding each piece of video data to be processed, so that the target video data is composed of at least one piece of non-data to be processed.
If the original video data comprises at least one piece of data to be processed and at least one piece of non-data to be processed, and the preset processing performed on the video data to be processed is processing except cutting processing, target video data exists, and the target video data is composed of at least one piece of non-data to be processed and at least one piece of preset processed video data obtained after the corresponding data to be processed is processed.
In the present application, in the case that target video data exists, the storage operation for the target video data may be to directly store the target video data in a preset storage medium, such as a hard disk or a memory.
In some embodiments, the storage operation for the target video data comprises: and encoding the target video data to obtain video data to be stored, and storing the video data to be stored.
In the present application, when target video data exists, the target video data may be encoded by using an existing video data encoding method, for example, an encoding method of the H264 standard, so as to obtain video data to be stored. The video data to be stored can be stored in a storage medium or a File System such as a hard disk, an NFS (Network File System), a memory, a magnetic tape, or the like.
Referring to fig. 2, a flow chart for processing video data is shown.
The video obtaining module may obtain encoded original video data from the camera through an rtsp (real Time Streaming protocol) protocol, and decode the encoded original video data to obtain the original video data. Raw video data is used as input to a video analysis module.
The video analysis module may analyze the raw video data, such as with a neural network trained through a deep learning approach, to determine whether the raw video data includes pending video data and whether it includes non-pending video data.
The video analysis module may provide the determined results to the video processing module.
If the original video data does not include the video data to be processed, that is, the original video data is the non-video data to be processed, the video processing module may directly provide the original video data as the target video data to the video storage module.
And if the original video data comprises the video data to be processed, the video processing module processes the video data to be processed. If the target video data is present after processing. The video processing module provides the target video data to the video storage module.
And the video storage module encodes the target video data to obtain the video data to be stored. The video data to be stored may be stored in a storage medium or file system such as a hard disk, NFS, memory, tape, etc.
Referring to fig. 3, a block diagram of a data processing apparatus according to an embodiment of the present application is shown. The data processing apparatus includes: an analysis unit 301, a processing unit 302, and a storage unit 303.
The analysis unit 301 is configured to analyze raw video data to determine whether the raw video data includes to-be-processed video data and non-to-be-processed video data, wherein the to-be-processed video data is video data not associated with a target object, and the non-to-be-processed video data is video data associated with at least one target object;
the processing unit 302 is configured to perform preset processing on the to-be-processed video data in a case that the original video data includes the to-be-processed video data, where the preset processing is used for saving a video data storage space;
the storage unit 303 is configured to perform a storage operation for target video data in the presence of the target video data, the target video data including one of: the video processing method comprises the steps of presetting processed video data, non-to-be-processed video data, presetting processed video data and non-to-be-processed video data.
In some embodiments, the data processing apparatus further comprises:
a decoding unit configured to acquire encoded original video data; decoding the encoded original video data to obtain original video data; the storage unit 303 is further configured to encode the target video data, obtain video data to be stored, and store the video data to be stored.
In some embodiments, the preset process is one of: cutting processing, compressing processing and abstract processing.
In some embodiments, the processing unit 302 includes:
the first compression processing subunit is configured to, in the case that the original video data includes video data to be processed, perform resolution reduction processing on at least part of the image data in the video data to be processed to obtain video data subjected to preset processing.
In some embodiments, the processing unit 302 includes:
and the second compression processing subunit is configured to, in the case that the original video data includes video data to be processed, perform encoding compression rate increasing processing on the video data to be processed to obtain video data to be processed, where the encoding compression rate increasing processing is used to enable an encoding compression rate corresponding to the video data to be processed, which has undergone the encoding compression rate increasing processing, to be higher than a preset encoding compression rate.
In some embodiments, the processing unit 302 includes:
and a digest processing subunit configured to extract, in a case where the original video data includes video data to be processed, a plurality of image data from the video data to be processed, and treat the extracted plurality of image data as video data subjected to a preset process.
In some embodiments, the type of the target object is one of: human face, pedestrian, vehicle, preset interested object and moving object; the analysis unit 301 is further configured to perform one or more of the following operations on at least part of the image data in the original video data: face detection, pedestrian detection, vehicle detection, preset interested object detection and moving object detection.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A method of data processing, the method comprising:
analyzing original video data to determine whether the original video data comprises video data to be processed and non-video data to be processed, wherein the video data to be processed is video data which is not associated with a target object, and the non-video data to be processed is video data which is associated with at least one target object;
performing preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed, wherein the preset processing is used for saving the storage space of the video data;
in the presence of target video data, performing a storage operation for the target video data, the target video data comprising one of: the video processing method comprises the steps of presetting processed video data, non-to-be-processed video data, presetting processed video data and non-to-be-processed video data.
2. The method of claim 1, wherein prior to analyzing the raw video data, the method further comprises:
acquiring encoded original video data;
decoding the encoded original video data to obtain original video data; and the storing operation for the target video data comprises:
and encoding the target video data to obtain video data to be stored, and storing the video data to be stored.
3. The method according to one of claims 1-2, wherein the predetermined process is one of: cutting processing, compressing processing and abstract processing.
4. The method according to claim 3, wherein the preset processing is compression processing; and
under the condition that the original video data comprises video data to be processed, the presetting processing of the video data to be processed comprises the following steps:
and performing resolution reduction processing on at least part of image data in the video data to be processed to obtain preset processed video data.
5. The method according to claim 3, wherein the preset processing is compression processing; and
under the condition that the original video data comprises video data to be processed, the presetting processing of the video data to be processed comprises the following steps:
and performing encoding compression ratio increasing processing on the video data to be processed to obtain preset processed video data, wherein the encoding compression ratio increasing processing is used for enabling the encoding compression ratio corresponding to the preset processed video data to be higher than the preset encoding compression ratio.
6. The method according to claim 3, wherein the predetermined process is a digest process; and
under the condition that the original video data comprises video data to be processed, the presetting processing of the video data to be processed comprises the following steps:
extracting a plurality of image data from the video data to be processed, and taking the extracted plurality of image data as the video data subjected to the preset processing.
7. The method according to one of claims 1 to 6, wherein the type of the target object comprises: human face, pedestrian, vehicle, preset interested object and moving object; and
analyzing the raw video data includes:
performing one or more of the following operations on at least a portion of image data in the raw video data: face detection, pedestrian detection, vehicle detection, preset interested object detection and moving object detection.
8. A data processing apparatus, characterized in that the apparatus comprises:
an analysis unit configured to analyze raw video data to determine whether the raw video data includes to-be-processed video data and non-to-be-processed video data, wherein the to-be-processed video data is video data not associated with a target object, and the non-to-be-processed video data is video data associated with at least one target object;
the processing unit is configured to perform preset processing on the video data to be processed under the condition that the original video data comprises the video data to be processed, wherein the preset processing is used for saving a video data storage space;
a storage unit configured to perform a storage operation for target video data in the presence of the target video data, wherein the target video data includes one of: the video processing method comprises the steps of presetting processed video data, non-to-be-processed video data, presetting processed video data and non-to-be-processed video data.
9. A server, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 7.
10. A storage medium in which instructions, when executed by a processor of a server, enable the server to perform the method of any one of claims 1 to 7.
CN202010911620.6A 2020-09-02 2020-09-02 Data processing method, device, server and storage medium Pending CN112218025A (en)

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