CN110661785A - Video processing method, device and system, electronic equipment and readable storage medium - Google Patents
Video processing method, device and system, electronic equipment and readable storage medium Download PDFInfo
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- CN110661785A CN110661785A CN201910824103.2A CN201910824103A CN110661785A CN 110661785 A CN110661785 A CN 110661785A CN 201910824103 A CN201910824103 A CN 201910824103A CN 110661785 A CN110661785 A CN 110661785A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/60—Network streaming of media packets
- H04L65/75—Media network packet handling
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
Abstract
The invention discloses a video data processing method, a device, a system, electronic equipment and a storage medium, wherein the method comprises the following steps: receiving an original video stream through a transmission medium with a data transmission rate meeting a preset threshold; and processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform. The original video stream can be rapidly and stably acquired through a transmission medium with a data transmission rate meeting a preset threshold value, and stronger computing power is realized through a preset video processing algorithm, so that a more accurate and high-quality image processing result is obtained, the damage degree of the structured video data transmitted to a back-end platform is reduced, and the bandwidth can be effectively saved by processing the original video stream into the structured video data before transmitting the original video stream data to the back-end platform.
Description
Technical Field
The invention relates to the technical field of video processing, in particular to a video processing method, a video processing device, a video processing system, electronic equipment and a readable storage medium.
Background
With the progress of the technology, the video monitoring technology is greatly developed. In order to meet different service requirements, the video shot by the camera usually needs to be post-processed, and the current surveillance video processing scheme usually shoots the video through the front-end camera, compresses the video stream at the front end, and transmits the video stream to a processing box at the rear end through protocols such as RTSP (Real Time streaming protocol), and the rear-end box monitors and displays multiple paths of surveillance video data.
However, due to the limitation of bandwidth and the like, all the monitoring cameras transmit to the back end to process the compressed and encoded video data, or at least the video frame data processed by an ISP (Image Signal Processing), and the back end also directly displays the received monitoring video data without further Processing. Moreover, due to the limitations of power consumption, heat dissipation and the like, the front-end camera cannot perform complicated functions, and the data obtained at the back end is processed and then has compression loss. Therefore, the existing video data processing scheme easily causes the damage of the monitoring video data and influences the later use effect.
Disclosure of Invention
The invention provides a video processing method, a video processing device, a video processing system, an electronic device and a readable storage medium, which are used for partially or completely solving the problems related to the video processing process in the prior art.
According to a first aspect of the present invention, there is provided a video processing method comprising:
receiving an original video stream through a transmission medium with a data transmission rate meeting a preset threshold;
and processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform.
According to a second aspect of the present invention, there is provided a video processing apparatus comprising:
the video stream receiving module is used for receiving an original video stream through a transmission medium with a data transmission rate meeting a preset threshold;
and the video stream processing module is used for carrying out video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data and sending the structured video data to the back-end platform.
According to a third aspect of the present invention, there is provided a video processing method comprising:
collecting an original video stream, and sending the original video stream to a video processing device through a transmission medium with a data transmission rate meeting a preset threshold;
the video processing device processes the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data and sends the structured video data to a back-end platform;
the backend platform receives the structured video data and displays and/or stores the structured video data.
According to a fourth aspect of the present invention, there is provided a video processing system comprising: the system comprises a video acquisition device, a video processing device and a rear-end platform;
the video acquisition device is used for acquiring an original video stream and transmitting the original video stream to the video processing device;
the video processing device is used for processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data; the video processing device is connected with the video acquisition device through a transmission medium with a data transmission rate meeting a preset threshold;
the backend platform is used for displaying and/or storing the structured video data.
According to a fifth aspect of the present invention, there is provided an electronic apparatus comprising:
a processor, a memory and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the aforementioned video processing method when executing the program.
According to a sixth aspect of the present invention, there is provided a readable storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to perform the aforementioned video processing method.
According to the video processing method, an original video stream is received through a transmission medium with a data transmission rate meeting a preset threshold value; and processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform. The original video stream can be rapidly and stably acquired through a transmission medium with a data transmission rate meeting a preset threshold value, and stronger computing power is realized through a preset video processing algorithm, so that a more accurate and high-quality image processing result is obtained, the damage degree of the structured video data transmitted to a back-end platform is reduced, and the bandwidth can be effectively saved by processing the original video stream into the structured video data before transmitting the original video stream data to the back-end platform.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows one of the steps of a video processing method according to an embodiment of the invention;
FIG. 2 is a flowchart illustrating a second step of a video processing method according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a video processing apparatus according to an embodiment of the present invention
FIG. 4 is a flow chart illustrating a third step of a video processing method according to an embodiment of the present invention;
FIG. 5 is a flow chart illustrating four steps of a video processing method according to an embodiment of the present invention;
FIG. 6 shows one of the schematic structural diagrams of a video processing system according to an embodiment of the present invention;
FIG. 6A is a block diagram of a video processing system according to an embodiment of the present invention;
FIG. 6B is a second block diagram of a video processing system according to an embodiment of the present invention;
FIG. 6C is a third block diagram of a video processing system according to an embodiment of the present invention;
fig. 7 shows a second schematic diagram of a video processing system according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, a flowchart of a video processing method according to an embodiment of the present invention is shown.
In step 110, an original video stream is received through a transmission medium with a data transmission rate satisfying a preset threshold.
And 120, processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform.
The embodiment of the invention provides a technical scheme for effectively reducing the data damage degree of a video stream in the process of transmitting the video stream to a back-end platform. Also, in order to affect the transmission efficiency of the video stream, the original video stream may be received through a transmission medium whose data transmission rate satisfies a preset threshold.
The specific value of the preset threshold may be preset according to a requirement, and the embodiment of the present invention is not limited thereto. The data format of the original video stream may be set according to the requirement or the attribute of the camera, and the embodiment of the present invention is not limited. For example, a Raw video stream in a Raw format of 12bit or 14bit may be received through a gigabit line, and so on.
In the embodiment of the present invention, the original video stream may be captured in any available manner, and the embodiment of the present invention is not limited thereto. Generally, when capturing a raw video stream, a camera used for capturing video can only implement a basic automatic exposure function, mainly automatically controlling the exposure time and analog, digital gain, etc. of an image sensor. In the embodiment of the present invention, in order to improve the video processing effect and reduce the damage degree of the video stream, the video data processing may be performed on the original video stream through at least one preset video processing algorithm to obtain the structured video data.
The preset video processing algorithm may be preset or adjusted according to the requirement, and the embodiment of the present invention is not limited thereto. For example, in the related art, a conventional ISP method is generally used, so that the processed video stream is damaged seriously, and in the embodiment of the present invention, the conventional ISP method may be replaced by a preset ISP algorithm based on machine learning, so as to improve the video processing effect.
In addition, a face recognition algorithm, a vehicle recognition algorithm and the like can be preset so as to perform face recognition, vehicle recognition and the like on the video frames in the original video stream. At this time, the structured video data obtained after the video data processing may include a video stream obtained after the original video stream is processed by the ISP, and may also include labeling information generated after the original video stream is processed by a face recognition algorithm, a vehicle recognition algorithm, and the like, such as a face snapshot picture, a face attribute, a vehicle picture, license plate information, vehicle information (model, color, and the like), and the like. At the moment, the lossless original video stream can be directly subjected to video processing such as face recognition, and the accuracy of the recognition result can be effectively improved.
The ISP processing may include, but is not limited to, algorithms such as Black Level Correction (BLC), Lens Shading Correction (LSC), dead Pixel Correction (BPC), Color interpolation, denoising (Bayer denoising), Automatic White Balance (AWB), Color Correction (Color Correction), Gamma Correction (Gamma Correction), Color space conversion, Color filtering, or any combination thereof.
After the structured video data is obtained, the structured video data can be further sent to a back-end platform for subsequent processing. For example, structured video data may be stored and/or displayed, and so on.
In addition, in the embodiment of the present invention, since the structured video data includes the video stream after data processing, the loss degree is smaller compared to the original video stream, and the visual effect is better, the structured video data can be sent to the backend platform through any available transmission medium, and the transmission rate of the transmission medium may not be specially limited, which is not limited in the embodiment of the present invention. Of course, in the embodiment of the present invention, a transmission medium for transmitting the structured video data to the backend platform may also be set in a customized manner according to requirements, which is not limited to this embodiment of the present invention.
In the embodiment of the invention, an original video stream is received through a transmission medium with a data transmission rate meeting a preset threshold; and processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform. The original video stream can be rapidly and stably acquired through a transmission medium with a data transmission rate meeting a preset threshold value, and stronger computing power is realized through a preset video processing algorithm, so that a more accurate and high-quality image processing result is obtained, the damage degree of the structured video data transmitted to a back-end platform is reduced, and the bandwidth can be effectively saved by processing the original video stream into the structured video data before transmitting the original video stream data to the back-end platform.
Referring to fig. 2, in the embodiment of the present invention, the step 120 may further include:
and a substep 121, performing image signal processing on the original video stream through an image signal processing algorithm based on a neural network to obtain a first video stream.
A substep 122, performing video data processing on the first video stream according to other preset video processing algorithms to obtain structured video data corresponding to the original video stream; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms.
In practical applications, after the original video stream is acquired, in order to improve the visual effect of the original video stream, image signal processing may be performed on video frames in the original video stream. Moreover, in the embodiment of the present invention, in order to improve the image signal processing effect, the original video stream may be subjected to image signal processing by a preset image signal processing algorithm based on a neural network, so as to obtain the first video stream, thereby obtaining a better video processing effect. The image signal processing algorithm based on the neural network may be trained in advance according to requirements, and the embodiment of the present invention is not limited.
Further, since the visual effect of the first video stream processed by the ISP is better than that of the original video stream, in order to improve the visual effect of the structured video data obtained by the final processing, the first video stream processed by the ISP may be further processed by using a preset other video processing algorithm, so as to obtain the structured video data corresponding to the original video stream; wherein the other video processing algorithm may be at least one other video processing algorithm excluding the image signal processing algorithm from the preset video processing algorithms. Other video processing algorithms may include, but are not limited to, the above-described face recognition algorithms, vehicle recognition algorithms, other object-specific recognition algorithms, and the like.
Structured video data is understood to be a video stream containing various annotation information. The annotation information may include, but is not limited to, a face frame, information and characteristics of a person (e.g., age, sex, height, wearing, etc.), a head frame, license plate information, information of a car, etc., a snapshot including a face and a head, etc., and the like.
Optionally, in an embodiment of the present invention, the substep 122 further may include:
and a substep 1221, performing video data processing on the first video stream according to the other video processing algorithms to obtain the annotation information of the first video stream.
Substep 1222 compresses the first video stream to obtain a compressed video stream.
And a substep 1223, obtaining the structured video data corresponding to the original video stream according to the annotation information and the compressed video stream.
As described above, in the embodiment of the present invention, the transmission medium for transmitting the structured video data to the backend platform is not specially set, and if the structured video data is transmitted to the backend platform through any broadband or wireless network, the data transmission rate may be easily affected and unstable, or the data transmission rate may be low due to the limitation of the broadband of the internet. Therefore, in the embodiment of the present invention, in order to shorten the transmission time for sending the structured video data to the backend platform, the first video stream corresponding to the structured video data may be further compressed, and specifically, the first video stream may be compressed in any available manner, which is not limited to this embodiment of the present invention.
In addition, in order to ensure that the rear-end platform can restore the shot original video stream to the maximum extent when performing subsequent processing on the video data, the video data processing can be performed on the first video stream according to other further preset video processing algorithms to obtain the annotation information of the first video stream, and then the structured video data corresponding to the original video stream is obtained according to the annotation information and the compressed video stream of the first video stream. At this time, since the annotation information is not compressed, the annotation information received by the back-end platform is lossless information, and the back-end platform can further repair the decompressed video stream according to the annotation information, so as to reduce the damage of the video stream in the compression transmission process.
The annotation information and the compressed video stream in the structured video data may be preset according to the requirement, which is not limited in this embodiment of the present invention. Moreover, the first video stream may contain a plurality of video frames, and the annotation information of different video frames may not be identical, so that the corresponding relationship between each annotation information and a video frame may also be included in the structured video data.
Optionally, in an embodiment of the present invention, the transmission medium includes a network cable and/or an optical fiber.
In practical applications, the data transmission rate of transmission media such as network cables and optical fibers is generally stable and is not easily affected by the external environment. Therefore, in the embodiment of the present invention, the transmission medium for receiving the original video stream may be a transmission medium with a higher and more stable data transmission rate, such as a network cable and/or an optical fiber. For example, the transmission medium may be a gigabit network, or the like, and the data transmission rate at this time is relatively stable and is not easily affected by the external environment; furthermore, if ten gigabit networks or optical fibers are used for data transmission, higher resolution and frame rates can be supported.
For example, if a 1080P 12-bit original video stream is captured and received by gigabit direct connection, the transmission speed at this time can reach 30 frames per second.
In the embodiment of the invention, the original video stream can be subjected to image signal processing through an image signal processing algorithm based on a neural network to obtain a first video stream; processing video data of the first video stream according to other preset video processing algorithms to obtain structured video data corresponding to the original video stream; sending the structured video data to a backend platform; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms. Performing video data processing on the first video stream according to the other video processing algorithms to obtain annotation information of the first video stream; compressing the first video stream to obtain a compressed video stream; and obtaining the structured video data corresponding to the original video stream according to the marking information and the compressed video stream. Therefore, more accurate marking information and structured video data can be further obtained, and the damage degree of the video data obtained by subsequent recovery is reduced.
Furthermore, in embodiments of the present invention, the transmission medium comprises a network cable and/or an optical fiber. The stability of the transmission rate of the original video stream can be further improved.
Referring to fig. 3, a schematic structural diagram of a video processing apparatus according to an embodiment of the present invention is shown. The video processing apparatus 200 includes:
a video stream receiving module 210, configured to receive an original video stream through a transmission medium whose data transmission rate satisfies a preset threshold;
and the video stream processing module 220 is configured to perform video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data, and send the structured video data to the back-end platform.
Optionally, in an embodiment of the present invention, the video stream processing module 220 may further include:
the image signal processing submodule is used for carrying out image signal processing on the original video stream through an image signal processing algorithm based on a neural network to obtain a first video stream;
the structured video stream acquisition submodule is used for carrying out video data processing on the first video stream according to other preset video processing algorithms to obtain structured video data corresponding to the original video stream; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms.
The structured video stream sending submodule is used for sending the structured video data to a back-end platform;
optionally, in this embodiment of the present invention, the structured video stream acquiring sub-module further includes:
a tag information obtaining unit, configured to perform video data processing on the first video stream according to the other video processing algorithms to obtain tag information of the first video stream;
a video data compression unit, configured to compress the first video stream to obtain a compressed video stream;
and the structured video stream acquisition unit is used for acquiring the structured video data corresponding to the original video stream according to the marking information and the compressed video stream.
Optionally, in an embodiment of the present invention, the transmission medium includes a network cable and/or an optical fiber.
In the embodiment of the invention, an original video stream is received through a transmission medium with a data transmission rate meeting a preset threshold; and processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform. The original video stream can be rapidly and stably acquired through a transmission medium with a data transmission rate meeting a preset threshold value, and stronger computing power is realized through a preset video processing algorithm, so that a more accurate and high-quality image processing result is obtained, the damage degree of the structured video data transmitted to a back-end platform is reduced, and the bandwidth can be effectively saved by processing the original video stream into the structured video data before transmitting the original video stream data to the back-end platform.
Referring to fig. 4, a flowchart of a video processing method according to an embodiment of the present invention is shown.
And 320, the video processing device performs video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data, and sends the structured video data to a back-end platform.
The embodiment of the invention provides a video processing method combining an edge and a terminal. The so-called "edge-side" combination means that after an original video stream is acquired, the original video stream can be directly transmitted to a video processing module as an "edge" through a transmission medium with a data transmission rate meeting a preset threshold value without being processed, and the original video stream can be subjected to video data processing such as image processing by using higher computational power in the video processing module, so that structured video data can be acquired, and the structured video data can be transmitted to a back-end platform. The backend platform may then perform further processing operations on the structured video data, such as displaying and/or storing the structured video data, and so forth.
The specific value of the preset threshold may be preset according to a requirement, and the embodiment of the present invention is not limited thereto. The data format of the original video stream may be set according to the requirement or the attribute of the camera, which is referred to in this embodiment of the present invention. For example, a Raw video stream in a Raw format of 12 bits or 14 bits can be collected and transmitted to the video processing module via the gigabit network.
In the embodiment of the invention, an original video stream is collected and sent to a video processing device through a transmission medium with a data transmission rate meeting a preset threshold; the video processing device processes the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data and sends the structured video data to a back-end platform; the backend platform receives the structured video data and displays and/or stores the structured video data. The original video stream can be rapidly and stably acquired through a transmission medium with a data transmission rate meeting a preset threshold value, and stronger computing power is realized through a preset video processing algorithm, so that a more accurate and high-quality image processing result is obtained, the damage degree of the structured video data transmitted to a back-end platform is reduced, and the bandwidth can be effectively saved by processing the original video stream into the structured video data before transmitting the original video stream data to the back-end platform.
Referring to fig. 5, in the embodiment of the present invention, the step 320 may further include:
Optionally, in an embodiment of the present invention, the sub-step 322 may further include:
a substep 3231, performing video data processing on the first video stream according to the other video processing algorithms to obtain annotation information of the first video stream;
a substep 3232, compressing the first video stream to obtain a compressed video stream;
and a substep 3233, obtaining the structured video data corresponding to the original video stream according to the annotation information and the compressed video stream.
Optionally, in an embodiment of the present invention, the transmission medium includes a network cable and/or an optical fiber.
Referring to fig. 5, in an embodiment of the present invention, the step 330 may further include: and in response to the acquisition of the original video stream by the plurality of cameras, the back-end platform splices the structured video data corresponding to each camera and displays and/or stores the spliced structured video data.
In practical applications, the raw video stream may be captured by one or more cameras. Moreover, when the original video streams are collected by the plurality of cameras, a plurality of paths of original video streams can be correspondingly collected, and then the video data processing device can be used for respectively processing the video data of each path of original video stream and obtaining the structured video data corresponding to each path of original video stream. Then, for the backend platform, the structured video data corresponding to each camera may be spliced, and the spliced structured video data may be displayed and/or stored. Furthermore, in the embodiment of the present invention, the multi-path structured video data may be spliced in any available splicing manner, which is not limited in the embodiment of the present invention.
Of course, in the embodiment of the present invention, the original video streams collected by the plurality of cameras may be spliced by the video processing device according to a requirement, and then the video data of the spliced original video streams is processed to obtain the structured video data, which is not limited in the embodiment of the present invention.
It should be noted that, in the embodiment of the present invention, some steps are similar to those in the foregoing method embodiment or the apparatus embodiment described later, and specific reference may be made to the foregoing method embodiment or the apparatus embodiment described later, which are not described herein again.
In the embodiment of the present invention, the original video stream may be further processed by a preset image signal processing algorithm based on a neural network to obtain a first video stream; according to other video processing algorithms, carrying out video data processing on the first video stream to obtain structured video data corresponding to the original video stream; sending the structured video data to the backend platform; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms. Performing video data processing on the first video stream according to the other video processing algorithms to obtain annotation information of the first video stream; compressing the first video stream to obtain a compressed video stream; and obtaining the structured video data corresponding to the original video stream according to the marking information and the compressed video stream. More accurate marking information and structured video data can be further acquired, and then the damage degree of the video stream finally obtained by the back-end platform is reduced.
Furthermore, in embodiments of the present invention, the transmission medium comprises a network cable and/or an optical fiber. The stability of the video streaming rate can be further improved.
In addition, in the embodiment of the present invention, in response to the original video stream being acquired by a plurality of cameras, the backend platform splices the structured video data corresponding to each camera, and displays and/or stores the spliced structured video data. Thereby improving the processing effect of the multi-path video stream.
Referring to fig. 6, a schematic structural diagram of a video processing system according to an embodiment of the present invention is shown. The video processing system 400 includes: a video acquisition device 410, a video processing device 420 and a backend platform 430;
the video capture device 410 is configured to capture an original video stream and transmit the original video stream to the video processing device 420;
the video processing device 420 is configured to perform video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data; the video processing device 420 is connected to the video capture device 410 via a transmission medium whose data transmission rate satisfies a predetermined threshold;
the backend platform 430 is configured to display and/or store the structured video data.
The embodiment of the invention provides an edge-end combined video processing system. The "edge-to-edge" combination is that a layer of "edge" is added behind the video capture device 410, the original video stream captured by the video capture device 410 can be directly transmitted to the video processing device 420 as the "edge" through a transmission medium whose data transmission rate satisfies a preset threshold value without being processed, and the video processing device 420 can process the video data of the original video stream, such as image processing, with higher computational power, so as to obtain structured video data, and then transmit the structured video data to the backend platform 430. The back-end platform 430 may then perform further processing operations on the structured video data, such as displaying and/or storing the structured video data, and so forth.
The specific value of the preset threshold may be preset according to a requirement, and the embodiment of the present invention is not limited thereto. The data format of the original video stream may be set according to the requirement or the attribute of the camera, and the embodiment of the present invention is not limited. For example, the video capture device 410 can capture Raw video stream with 12bit or 14bit Raw format, and then transmit the Raw video stream to the video processing device 420 through the gigabit network. Moreover, the video capture device 410 may capture an original video stream by calling an external camera, or a camera for capturing an original video stream may be arranged inside the video capture device 410, and specifically, the camera may be preset according to a requirement, which is not limited in the embodiment of the present invention.
When the video capture device 410 captures an original video stream, only the basic automatic exposure function can be implemented, mainly automatically controlling the exposure time and analog, digital gain, etc. of the image sensor. The preset video processing algorithm in the video processing apparatus 420 may be preset or adjusted according to the requirement, and the embodiment of the present invention is not limited thereto. For example, while the conventional ISP method is generally used in the related art, in the embodiment of the present invention, the conventional ISP method may be replaced by an ISP algorithm based on machine learning in the video processing apparatus 420, so as to improve the video processing effect; in addition, a face recognition algorithm, a vehicle recognition algorithm, and the like may also be preset in the video processing device 420 to perform face recognition, vehicle recognition, and the like on the video frames in the original video stream. At this time, the structured video data output by the video processing apparatus 420 may include a surveillance video stream of the camera, and may also include structured data generated by the video processing apparatus 420 after calculating the original video stream, such as a face snapshot picture, a face attribute, a vehicle picture, license plate information, vehicle information (model, color, etc.), and the like.
At this time, the video processing device 420 may directly perform video processing such as face recognition on the lossless original video stream, and may effectively improve the accuracy of the recognition result.
The ISP processing may include, but is not limited to, algorithms such as Black Level Correction (BLC), Lens Shading Correction (LSC), dead Pixel Correction (BPC), Color interpolation, denoising (Bayer denoising), Automatic White Balance (AWB), Color Correction (Color Correction), Gamma Correction (Gamma Correction), Color space conversion, Color filtering, or any combination thereof.
The backend platform 430 and the video processing device 420 may be previously connected by any available means, such as a wireless network connection, a network cable connection, and the like. Of course, the specific material of the transmission medium between the backend platform 430 and the video processing apparatus 420 and/or the data transmission rate may also be set to satisfy a certain threshold according to the requirement, which is not limited in the embodiment of the present invention.
In an embodiment of the present invention, the backend platform 430 may include a cloud server and/or a display. The display can display the structured video data, the cloud server can store the structured video data, and further processing can be performed on the structured video data.
Fig. 6A, 6B and 6C are schematic physical block diagrams of a video processing system, respectively. In fig. 6A, the backend platform is a display, and can directly display the structured video data; in fig. 6B, the backend platform is a cloud server, and may store and further process the structured video data; in fig. 6C, the backend platform includes a display and a cloud server.
The video processing system according to the present invention comprises: the system comprises a video acquisition device, a video processing device and a rear-end platform; the video acquisition device is used for acquiring an original video stream and transmitting the original video stream to the video processing device; the video processing device is used for processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data; the video processing device is connected with the video acquisition device through a transmission medium with a data transmission rate meeting a preset threshold; the backend platform is used for displaying and/or storing the structured video data. Therefore, the original video stream can be rapidly and stably acquired through the transmission medium with the data transmission rate meeting the preset threshold value, stronger computing power is realized through the preset video processing algorithm, more accurate and high-quality image processing results are obtained, the damage degree of the structured video data transmitted to the rear-end platform is reduced, and the bandwidth can be effectively saved by processing the original video stream into the structured video data before the original video stream data is transmitted to the rear-end platform.
Referring to fig. 7, in the embodiment of the present invention, the video processing apparatus 420 may further include:
the image signal processing module 421 is configured to perform image signal processing on the original video stream through a preset image signal processing algorithm based on a neural network to obtain a first video stream;
a structured video stream obtaining module 422, configured to perform video data processing on the first video stream according to other video processing algorithms to obtain structured video data corresponding to the original video stream; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm in the video processing algorithm;
a structured video data sending module 423, configured to send the structured video data to the backend platform.
In practical applications, after an original video stream is captured by a camera, in order to improve the visual effect of the original video stream, image signal processing may be performed on video frames in the original video stream. Furthermore, in the embodiment of the present invention, in order to improve the image signal processing effect, an image signal processing algorithm based on a neural network may be preset in the video processing apparatus 420, so that the original video stream may be subjected to image signal processing by the image signal processing algorithm based on the neural network, so as to obtain the first video stream, and a better video processing effect may be obtained. The image signal processing algorithm based on the neural network may be trained in advance according to requirements, and the embodiment of the present invention is not limited.
Further, the first video stream may be processed by the structured video stream obtaining module 422 according to other video processing algorithms to obtain structured video data corresponding to the original video stream; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms. Other video processing algorithms may include, but are not limited to, the above-described face recognition algorithms, vehicle recognition algorithms, other object-specific recognition algorithms, and the like.
Structured video data is understood to be a video stream containing various annotation information. The annotation information may include, but is not limited to, a face frame, information and characteristics of a person (e.g., age, sex, height, wearing, etc.), a head frame, license plate information, information of a car, etc., a snapshot including a face and a head, etc., and the like.
Optionally, in this embodiment of the present invention, the structured video stream acquiring module 422 further includes:
the annotation information acquisition submodule is used for carrying out video data processing on the first video stream according to the other video processing algorithms to obtain annotation information of the first video stream;
the video data compression submodule is used for compressing the first video stream to obtain a compressed video stream;
and the structured video stream acquisition submodule is used for acquiring the structured video data corresponding to the original video stream according to the marking information and the compressed video stream.
As described above, in the embodiment of the present invention, the connection mode between the video processing apparatus 420 and the backend platform 430 is not specially set, so if the connection between the video processing apparatus 420 and the backend platform 430 is performed through any broadband or wireless network, the data transmission rate between the video processing apparatus 420 and the backend platform 430 may be easily affected and unstable, or may be limited by the broadband of the internet, so that the data transmission rate is low. Therefore, in the embodiment of the present invention, in order to shorten the transmission time of the structured video data between the video processing apparatus 420 and the backend platform 430, the first video stream corresponding to the structured video data may be compressed, and specifically, the first video stream may be compressed in any available manner, which is not limited in this embodiment of the present invention.
In addition, in order to improve that the back-end platform 430 can restore the originally shot video stream to the maximum extent when performing subsequent processing on the video data, the video data processing may be performed on the first video stream according to the other video processing algorithms to obtain the annotation information of the first video stream, and then the structured video data corresponding to the original video stream is obtained according to the annotation information of the first video stream and the compressed video stream. At this time, since the annotation information is not compressed, the annotation information received by the backend platform is lossless information, and the backend platform can further repair the decompressed video stream according to the annotation information, so as to reduce the damage of the video stream in the compression and transmission process.
The annotation information and the compressed video stream in the structured video data may be preset according to the requirement, which is not limited in this embodiment of the present invention. Moreover, the first video stream may contain a plurality of video frames, and the annotation information of different video frames may not be identical, so that the corresponding relationship between each annotation information and a video frame may also be included in the structured video data.
Optionally, in an embodiment of the present invention, the transmission medium includes a network cable and/or an optical fiber.
In practical applications, the data transmission rate of transmission media such as network cables and optical fibers is generally stable and is not easily affected by the external environment. Therefore, in the embodiment of the present invention, the transmission medium between the video capture device 410 and the video processing device 420 may be a transmission medium with a high and stable data transmission rate, such as a network cable and/or an optical fiber. For example, a gigabit network, or the like may be set as the transmission medium, and then the connection mode between the video acquisition device 410 and the video processing device 420 is a network cable direct connection, and a local area network is set between the video acquisition device 410 and the video processing device 420, so that the data transmission rate is relatively stable and is not easily affected by the external environment; moreover, if a ten-gigabit network or an optical fiber is used for data transmission, the video acquisition device can be enabled to support higher resolution and frame rate.
For example, if the video capture device 410 captures a 1080P 12-bit original video stream, the original video stream is directly transmitted to the video processing device 420 via the gigabit network, and the transmission speed can reach 30 frames per second.
Optionally, in this embodiment of the present invention, the backend platform 430 is further configured to, in response to the raw video stream being captured by a plurality of cameras, splice the structured video data corresponding to each of the cameras, and display and/or store the spliced structured video data.
In practical applications, the video capture device 410 may capture raw video streams via one or more cameras. Moreover, when the video capture device 410 captures the original video stream through a plurality of cameras, a plurality of original video streams can be captured accordingly, and then the video processing device 420 processes the video data of each original video stream, and transmits the obtained structured video data corresponding to each original video stream to the back-end platform 430. Then, for the backend platform 430, the multiple paths of structured video data from multiple cameras can be stitched, and the stitched structured video data can be displayed and/or stored. Furthermore, in the embodiment of the present invention, the multi-path structured video data may be spliced in any available splicing manner, which is not limited in the embodiment of the present invention.
Of course, in the embodiment of the present invention, the original video streams collected by the multiple cameras may be spliced by the video processing device 420 as needed, and then the video data of the spliced original video streams is processed to obtain the structured video data, which is not limited in the embodiment of the present invention.
In addition, in the embodiment of the present invention, the functional modules included in the video processing apparatus 420 may also be as described in the foregoing embodiments of the video processing apparatus, and the embodiment of the present invention is not limited thereto.
In the embodiment of the present invention, the original video stream may be further processed by an image signal processing algorithm based on a neural network to obtain a first video stream; according to other video processing algorithms, carrying out video data processing on the first video stream to obtain structured video data corresponding to the original video stream; wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms. Performing video data processing on the first video stream according to the other video processing algorithms to obtain annotation information of the first video stream; compressing the first video stream to obtain a compressed video stream; and obtaining the structured video data corresponding to the original video stream according to the marking information and the compressed video stream. Therefore, more accurate marking information and structured video data can be obtained, the fidelity and the definition of the structured video data are improved, and the damage degree of the structured video data is reduced.
Furthermore, in the embodiment of the present invention, the transmission medium includes a network cable and/or an optical fiber, which can improve the stability of the transmission rate of the original video stream during the transmission process.
In addition, in the embodiment of the present invention, the backend platform is further configured to, in response to the raw video stream being acquired by the plurality of cameras, splice the structured video data corresponding to each of the cameras, and display and/or store the spliced structured video data. The video data processing and splicing can be respectively carried out on the multi-channel video streams, so that the integrity, the fidelity and the definition of the finally obtained structured video data are improved.
For simplicity of explanation, the method embodiments are described as a series of acts or combinations, but those skilled in the art will appreciate that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the embodiments of the invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
In an embodiment of the present invention, an electronic device is further provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and is characterized in that when the processor executes the computer program, any one of the foregoing video data processing methods is implemented.
In an embodiment of the present invention, a readable storage medium is further provided, and when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the steps of any one of the video data processing methods described above.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in a video processing device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (13)
1. A video processing method, comprising:
receiving an original video stream through a transmission medium with a data transmission rate meeting a preset threshold;
and processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a back-end platform.
2. The video processing method according to claim 1, wherein the step of performing video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to a backend platform comprises:
performing image signal processing on the original video stream through an image signal processing algorithm based on a neural network to obtain a first video stream;
processing video data of the first video stream according to other preset video processing algorithms to obtain structured video data corresponding to the original video stream;
sending the structured video data to a backend platform;
wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms.
3. The method according to claim 2, wherein the step of performing video data processing on the first video stream according to a preset other video processing algorithm to obtain the structured video data corresponding to the original video stream comprises:
according to the other video processing algorithms, performing video data processing on the first video stream to obtain the labeling information of the first video stream;
compressing the first video stream to obtain a compressed video stream;
and obtaining the structured video data corresponding to the original video stream according to the marking information and the compressed video stream.
4. A method according to any of claims 1-3, wherein the transmission medium comprises a network cable and/or an optical fibre.
5. A video processing apparatus, comprising:
the video stream receiving module is used for receiving an original video stream through a transmission medium with a data transmission rate meeting a preset threshold;
and the video stream processing module is used for carrying out video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data and sending the structured video data to the back-end platform.
6. A video processing method, comprising:
collecting an original video stream, and sending the original video stream to a video processing device through a transmission medium with a data transmission rate meeting a preset threshold;
the video processing device processes the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data and sends the structured video data to a back-end platform;
the backend platform receives the structured video data and displays and/or stores the structured video data.
7. The method according to claim 6, wherein the step of the video processing device performing video data processing on the original video stream through at least one preset video processing algorithm to obtain structured video data, and sending the structured video data to the backend platform comprises:
processing the original video stream by a preset image signal processing algorithm based on a neural network to obtain a first video stream;
according to other video processing algorithms, carrying out video data processing on the first video stream to obtain structured video data corresponding to the original video stream;
sending the structured video data to the backend platform;
wherein the other video processing algorithm is at least one other video processing algorithm excluding the image signal processing algorithm from the video processing algorithms.
8. The method according to claim 7, wherein the step of performing video data processing on the first video stream according to other video processing algorithms to obtain the structured video data corresponding to the original video stream comprises:
according to the other video processing algorithms, performing video data processing on the first video stream to obtain the labeling information of the first video stream;
compressing the first video stream to obtain a compressed video stream;
and obtaining the structured video data corresponding to the original video stream according to the marking information and the compressed video stream.
9. The method according to any of claims 6-8, wherein the transmission medium comprises a network cable and/or an optical fiber.
10. The method according to any of claims 6-8, wherein the step of the backend platform receiving the structured video data and displaying and/or storing the structured video data comprises:
and in response to the acquisition of the original video stream by the plurality of cameras, the back-end platform splices the structured video data corresponding to each camera and displays and/or stores the spliced structured video data.
11. A video processing system, comprising: the system comprises a video acquisition device, a video processing device and a rear-end platform;
the video acquisition device is used for acquiring an original video stream and transmitting the original video stream to the video processing device;
the video processing device is used for processing the video data of the original video stream through at least one preset video processing algorithm to obtain structured video data; the video processing device is connected with the video acquisition device through a transmission medium with a data transmission rate meeting a preset threshold;
the backend platform is used for displaying and/or storing the structured video data.
12. An electronic device, comprising:
processor, memory and computer program stored on the memory and executable on the processor, characterized in that the processor implements the video processing method according to any of claims 1-4 when executing the computer program.
13. A readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the video processing method of any of claims 1-4.
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