CN110958431A - Multi-channel video compression post-transmission system and method - Google Patents
Multi-channel video compression post-transmission system and method Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
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- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
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- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0117—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level involving conversion of the spatial resolution of the incoming video signal
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Abstract
The invention relates to the technical field of video processing, and discloses a multi-channel video compression post-transmission system and a method, wherein the multi-channel video compression post-transmission system comprises: a PCIE interface subsystem and an intelligent video processing subsystem; the PCIE interface subsystem is used for acquiring multiple paths of initial video stream data and respectively extracting initial video images from the initial video stream data; the PCIE interface subsystem is also used for respectively carrying out format conversion on the initial video images to obtain video images to be selected; the intelligent video processing subsystem is used for carrying out coding operation on the video image to be selected to obtain a target video image; the intelligent video processing subsystem is also used for generating video stream data to be output and transmitting the video stream data to the preset terminal equipment, so that the intelligent video processing subsystem performs coding processing on the initial video stream data by converting the initial video stream data into a proper format, and the technical problems of improving the stability and safety of multi-channel video compression and reducing the operation cost are solved.
Description
Technical Field
The invention relates to the technical field of video processing, in particular to a multi-channel video compression post-transmission system and a multi-channel video compression post-transmission method.
Background
With the continuous development of video encoding and decoding technology, videos gradually progress to the directional evolution of high definition, high dynamic, high data volume and multiple modes, which puts higher and higher requirements on the processing capacity of equipment, the traditional multi-channel video compression and distribution adopts a scheme of CPU + GPU, the GPU is responsible for compressing the videos, and the CPU is responsible for carrying out simple processing such as picture-in-picture and rotation on the videos, and the technology has the following defects:
(1) limited by the hardware capability and design purpose of the GPU, the video coding channels supported by the GPU are few, and generally only two-way 1080P/30fps H264 coding can be supported.
(2) The H264 encoding program occupies a large CPU processing capacity, and poses a challenge to system security and secure operation of other large applications.
(3) Because only the CPU + GPU with a specific model has a video coding function, the wide deployment of the system is inconvenient, and meanwhile, the power consumption of the equipment is high and the arrangement cost is higher.
Therefore, the technical problem of how to improve the stability and security of multi-path video compression and reduce the running cost exists essentially.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a multi-channel video compression post-transmission system and a multi-channel video compression post-transmission method, and aims to solve the technical problems of improving the stability and the safety of multi-channel video compression and reducing the operation cost.
To achieve the above object, the present invention provides a multi-channel video compression post-transmission system, which comprises: a PCIE interface subsystem and an intelligent video processing subsystem;
the PCIE interface subsystem is used for acquiring multiple paths of initial video stream data and respectively extracting initial video images from the initial video stream data;
the PCIE interface subsystem is also used for respectively carrying out format conversion on the initial video images to obtain video images to be selected and transmitting the video images to be selected to the intelligent video processing subsystem;
the intelligent video processing subsystem is used for carrying out coding operation on the video image to be selected to obtain a target video image;
the intelligent video processing subsystem is further configured to use the target video image as a compressed video image to be output, generate video stream data to be output according to the video image to be output, and transmit the video stream data to be output to a preset terminal device.
Preferably, the PCIE interface subsystem includes: a first encoding module and a second encoding module;
the first coding module is used for respectively carrying out color space coding conversion on the initial video images to obtain video images to be processed and transmitting the video images to be processed to the second coding module;
and the second coding module is used for respectively carrying out format conversion on the video images to be processed to obtain video images to be selected and transmitting the video images to be selected to the intelligent video processing subsystem.
Preferably, the intelligent video processing subsystem comprises: the device comprises a video acquisition module, a video processing module and a video coding module;
the video acquisition module is used for transmitting the video image to be selected to different channels to obtain channel images and transmitting the channel images to the video processing module;
the video processing module is used for carrying out image processing on the channel images of all the channels to obtain target channel images and transmitting the target channel images to the video coding module;
and the video coding module is used for coding the target channel image to obtain a target video image.
Preferably, the video processing module is further configured to perform denoising and de-interlacing processing on the channel images of the channels respectively to obtain a channel image to be selected;
the video processing module is further used for carrying out scaling processing on the channel image to be selected according to a preset resolution ratio to obtain a channel image to be optimized;
the video processing module is further configured to sharpen the channel image to be optimized to obtain a target channel image, and transmit the target channel image to the video encoding module.
Preferably, the video encoding module is further configured to obtain an occlusion instruction, and extract an occlusion region and an occlusion image from the occlusion instruction;
the video coding module is further configured to perform a blocking operation on the blocking area according to the blocking image to obtain a video image to be coded;
the video coding module is further configured to perform a coding operation on the image to be coded to obtain a target video image.
In addition, in order to achieve the above object, the present invention further provides a multi-channel video compression and post-transmission method, where the multi-channel video compression and post-transmission method is based on a multi-channel video compression and post-transmission system, and the multi-channel video compression and post-transmission system includes: PCIE interface subsystem and intelligent video processing subsystem, the said multipath video compression and transmission method includes:
the PCIE interface subsystem acquires multiple paths of initial video stream data and respectively extracts initial video images from the initial video stream data;
the PCIE interface subsystem respectively performs format conversion on the initial video images to obtain video images to be selected, and transmits the video images to be selected to the intelligent video processing subsystem;
the intelligent video processing subsystem carries out coding operation on the video image to be selected to obtain a target video image;
the intelligent video processing subsystem takes the target video image as a compressed video image to be output, generates video stream data to be output according to the video image to be output, and transmits the video stream data to be output to a preset terminal device.
Preferably, the PCIE interface subsystem includes: a first encoding module and a second encoding module;
the PCIE interface subsystem performs format conversion on the initial video images respectively to obtain video images to be selected, and transmits all the video images to be selected to the intelligent video processing subsystem, which specifically includes:
the first coding module performs color space coding conversion on the initial video images respectively to obtain video images to be processed, and transmits the video images to be processed to the second coding module;
and the second coding module respectively performs format conversion on the video images to be processed to obtain video images to be selected, and transmits the video images to be selected to the intelligent video processing subsystem.
Preferably, the intelligent video processing subsystem comprises: the device comprises a video acquisition module, a video processing module and a video coding module;
the intelligent video processing subsystem carries out coding operation on the video image to be selected to obtain a target video image, and the method comprises the following steps:
the video acquisition module transmits the video image to be selected to different channels to obtain channel images, and transmits the channel images to the video processing module;
the video processing module carries out image processing on the channel images of all the channels to obtain target channel images and transmits the target channel images to the video coding module;
and the video coding module performs coding operation on the target channel image to obtain a target video image.
Preferably, the video processing module performs image processing on the channel image of each channel to obtain a target channel image, and transmits the target channel image to the video encoding module, and the method includes:
the video processing module respectively carries out denoising processing and de-interlacing processing on the channel images of all the channels to obtain channel images to be selected;
the video processing module performs scaling processing on the channel image to be selected according to a preset resolution ratio to obtain a channel image to be optimized;
the video processing module sharpens the channel image to be optimized to obtain a target channel image, and transmits the target channel image to the video coding module.
Preferably, the video encoding module performs an encoding operation on the target channel image to obtain a target video image, and includes:
the video coding module acquires an occlusion instruction, and extracts an occlusion region and an occlusion image from the occlusion instruction;
the video coding module carries out shielding operation on the shielding area according to the shielding image to obtain a video image to be coded;
and the video coding module performs coding operation on the image to be coded to obtain a target video image.
The invention provides a multi-channel video compression post-transmission system, which comprises: a PCIE interface subsystem and an intelligent video processing subsystem; the PCIE interface subsystem is used for acquiring multiple paths of initial video stream data and respectively extracting initial video images from the initial video stream data; the PCIE interface subsystem is also used for respectively carrying out format conversion on the initial video images to obtain video images to be selected and transmitting the video images to be selected to the intelligent video processing subsystem; the intelligent video processing subsystem is used for carrying out coding operation on the video image to be selected to obtain a target video image; the intelligent video processing subsystem is further configured to use the target video image as a compressed video image to be output, generate video stream data to be output according to the video image to be output, and transmit the video stream data to be output to a preset terminal device, so that the intelligent video processing subsystem performs encoding processing on the multi-channel initial video stream data by converting the multi-channel initial video stream data into a proper format, and the technical problems of how to improve the stability and safety of multi-channel video compression and reduce the operation cost are solved.
Drawings
FIG. 1 is a functional block diagram of a multi-channel video compression post-transmission system according to a first embodiment of the present invention;
FIG. 2 is a functional block diagram of a multi-channel video compression and post-transmission system according to a second embodiment of the present invention;
FIG. 3 is a functional block diagram of a multi-channel video compression post-transmission system according to a third embodiment of the present invention;
FIG. 4 is a flowchart illustrating a first embodiment of a multi-channel video compression and post-transmission method according to the present invention;
FIG. 5 is a flowchart illustrating a multi-channel video compression and post-transmission method according to a second embodiment of the present invention;
fig. 6 is a flowchart illustrating a multi-channel video compression and post-transmission method according to a third embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a block diagram illustrating a first embodiment of a multi-channel video compression post-transmission system according to the present invention, the multi-channel video compression post-transmission system includes: a PCIE interface subsystem 10 and an intelligent video processing subsystem 20;
the PCIE interface subsystem 10 is configured to acquire multiple paths of initial video stream data, and respectively extract initial video images from the initial video stream data.
It should be noted that the intelligent video processing subsystem 20 in the present invention is an intelligent video processing subsystem based on the haisi embedded SOC, and the multi-channel video compression post-transmission system further includes a PCIE power module in addition to the PCIE interface subsystem and the intelligent video processing subsystem, and the PCIE power module supplies power to the PCIE interface subsystem 10 and the intelligent video processing subsystem 20.
It can be understood that the specific number of the multiple paths of initial video stream data is set according to actual situations, which is not limited in this embodiment, and in this embodiment, the number is 4, that is, 4 paths of initial video stream data are obtained as an example for description.
It should be understood that the manner of acquiring the initial video stream data may be to receive the video stream data of the PC end through the PCIE interface, and may also be to receive the video stream data of other devices, which is not limited in this embodiment.
It should be understood that the obtained multiple paths of initial video stream data are video data in the conventional RGB format, and therefore, the initial video image extracted from the initial video stream data is also in the RGB format, and it should be understood that the initial video image may be a video image in a unit of frame, which is not limited in this embodiment.
The PCIE interface subsystem 10 is further configured to perform format conversion on the initial video images respectively to obtain video images to be selected, and transmit all the video images to be selected to the intelligent video processing subsystem.
It should be noted that, because the initial video stream data received by the PCIE interface subsystem 10 is in the RGB format, but the haisi SOC only supports the acquisition in the BT1120 format, and the BT1120 cannot transmit the data in the RGB format, the initial video image in the RGB format needs to be converted into the YUV format to obtain the video image to be processed, then the video image to be processed is converted into the video image to be selected in the BT1120 format, and all the video images to be selected are transmitted to the intelligent video processing subsystem 20.
It should be understood that this step and the subsequent steps in the present invention are all synchronous processing of 4-way video data.
The intelligent video processing subsystem 20 is configured to perform an encoding operation on the video image to be selected, so as to obtain a target video image.
It should be noted that, because the initial video stream data received by the PCIE interface subsystem 10 is in the RGB format, but the haisi SOC only supports the acquisition in the BT1120 format, and the BT1120 cannot transmit the data in the RGB format, the initial video image in the RGB format needs to be converted into the YUV format to obtain the video image to be processed, then the video image to be processed is converted into the video image to be selected in the BT1120 format, and all the video images to be selected are transmitted to the intelligent video processing subsystem 20.
It should be understood that this step and the subsequent steps in the present invention are all synchronous processing of 4-way video data.
The intelligent video processing subsystem 20 is further configured to use the target video image as a compressed video image to be output, generate video stream data to be output according to the video image to be output, and transmit the video stream data to be output to a preset terminal device.
It can be understood that the preset terminal device includes an NVR end, a PC end, a recording and playing server, a cloud storage, and the like, which is not limited in this embodiment, and in this embodiment, the preset terminal device is taken as the NVR end for example.
It should be understood that the intelligent video processing subsystem 20 includes an RTSP video stream pushing module, and needs to perform signaling channel interaction with the Darwin server before collecting and sending encoded data, and the present invention adopts the signaling (sdp payload), Setup, and Play processes of the RTSP standard, so that the Darwin server end establishes forwarding classes (mainly in qtssreflecttormodule) and waits for the pushing of RTP data.
It should be understood that the intelligent video processing subsystem 20 further includes a forwarding server, where the forwarding server is an RTSP server Darwin, and the Darwin supports functions of RTSP push-mode forwarding, RTSP pull-mode forwarding, video recording, playback, WEB background management, etc., and the forwarding server has an extremely low latency, and the whole test finds that the latency of the VLC playing front-end coded image at the PC end is basically stable within 1s, the latency of the NVR playing front-end coded image is stable within 1s, and the outgoing frame is very fast no matter the PC end or the NVR end plays the live stream.
It should be understood that the intelligent video processing subsystem 20 further includes an ONVIF server module, an ONVIF protocol is a development standard in the video surveillance industry, and is commonly used in video surveillance systems, and an ONVIF interface is divided into different modules, including: the method comprises the steps of equipment discovery, equipment management, equipment input and output service, image configuration, media configuration, real-time streaming media, receiving end configuration, display service, event processing, PTZ control and the like, but the traditional technical scheme is that only one path of ONVIF connection can be realized on a single computer, and the single-path video back-transmission is realized, but the method supports 4 paths of different IP access ONVIF servers, and ensures that 4 paths of videos on a video forwarding server can be in one-to-one correspondence with 4 paths of monitoring channels on NVR.
It should be understood that the intelligent video processing subsystem 20 further includes a WEB intelligent management module, where the WEB intelligent management module is responsible for monitoring an operation instruction from a user to the device, and transmitting the operation instruction to the intelligent video processing subsystem or the PCIE interface subsystem to implement management and control of the system.
According to the scheme, the multi-channel video compression post-transmission system comprises: a PCIE interface subsystem 10 and an intelligent video processing subsystem 20; the PCIE interface subsystem 10 is configured to acquire multiple paths of initial video stream data, and respectively extract initial video images from the initial video stream data; the PCIE interface subsystem 10 is further configured to perform format conversion on the initial video images respectively to obtain video images to be selected, and transmit all the video images to be selected to the intelligent video processing subsystem 20; the intelligent video processing subsystem 20 is configured to perform encoding operation on the video image to be selected to obtain a target video image; the intelligent video processing subsystem 20 is further configured to use the target video image as a compressed video image to be output, generate video stream data to be output according to the video image to be output, and transmit the video stream data to be output to a preset terminal device, so that the intelligent video processing subsystem performs encoding processing on the multi-channel initial video stream data by converting the multi-channel initial video stream data into a suitable format, thereby solving the technical problems of how to improve the stability and security of multi-channel video compression and reduce the operation cost.
Further, referring to fig. 2, fig. 2 is a block diagram of a structure of a multi-channel video compression and post-transmission system according to a second embodiment of the present invention, and based on the embodiment shown in fig. 1, the second embodiment of the multi-channel video compression and post-transmission system according to the present invention is proposed, where the PCIE interface subsystem includes: a first encoding module 101 and a second encoding module 102.
The first encoding module 101 is configured to perform color space encoding conversion on the initial video images respectively to obtain to-be-processed video images, and transmit all the to-be-processed video images to the second encoding module 102.
It should be noted that the first encoding module 101 is a YUV encoding module, the second encoding module 102 is a BT1120 encoding module, and the PCIE interface subsystem further includes a PCIE driving module besides the two modules.
It should be understood that PCIE is a high performance interconnect protocol, and can be applied to the fields of network adaptation, graphics acceleration, server, big data transmission, embedded system, etc., and the PCIE protocol is compatible with PCI and PCI-X in the software layer, but at the same time, there are obvious differences, and between two devices, which is a packet-based, serial, point-to-point interconnect, whereby the connected devices share channel bandwidth exclusively, depending on the version number and number of channels used, the performance of the system is expandable, for PCIE2.0, the data transmission rate of each channel in each direction is 5.0Gbit s-1, the requirements of low-speed equipment and high-speed equipment appearing in a certain time can be met from PCIE x 1 to PCIE x 16, in a PCIE bus, a GT (gigatransfer) is used to calculate a peak bandwidth of a PCIE link, where GT is a peak bandwidth transmitted on the PCIE link, and a calculation formula of GT is bus frequency × data bit width × 2.
It can be understood that the PCIE driver module completes receiving of the initial video stream data at the PC end mainly through the PCIE interface, and buffers 4 paths of initial video stream data onto the DDR, so as to perform subsequent multi-channel YUV encoding and BT1120 format packing.
It should be understood that since PCIE receives data in RGB format, but haisi SOC only supports the acquisition of BT1120 format, BT1120 cannot transmit RGB data format, RGB video format needs to be converted into YUV format, where Y 'represents brightness, U and V store chrominance portion, brightness is denoted as Y, prime symbol of Y' is denoted as gamma correction, YUVFormats is divided into two formats: packed formats (packedformats): storing Y, U, V values as a MacroPixels array, similar to the way RGB is stored; planar formats (planar formats): the three components of Y, U, V are stored in different matrixes respectively, and the data format of YUV420P is adopted in the invention.
It can be understood that, the first encoding module 101 performs color space encoding conversion on the initial video images to obtain to-be-processed video images, that is, the initial video images in RGB format can be converted into to-be-processed video images in YUV format.
The second encoding module 102 is configured to perform format conversion on the to-be-processed video images respectively to obtain to-be-selected video images, and transmit all the to-be-selected video images to the intelligent video processing subsystem.
It can be understood that the interface of the second encoding module 102 has 16 data lines and one clock line, and can support 1080P data transmission, and since the haisi SOC only supports video capture of the BT1120, the second encoding module functions to convert the standard video VESA signal into the BT1120 for output.
It should be understood that the second encoding module 102 performs format conversion on the video images to be processed respectively to obtain the video images to be selected in the BT1120 format.
In the scheme provided by this embodiment, the first encoding module 101 performs color space encoding conversion on the initial video images respectively to obtain video images to be processed, and transmits all the video images to be processed to the second encoding module 102, and the second encoding module 102 performs format conversion on the video images to be processed respectively to obtain video images to be selected, and transmits all the video images to be selected to the intelligent video processing subsystem, so that the initial video images in the RGB format are converted into a format supported by the haisi SOC, and the accuracy of the system is improved.
Further, referring to fig. 3, fig. 3 is a block diagram of a third embodiment of the multi-channel video compression post-transmission system according to the present invention, and based on the above-mentioned embodiment shown in fig. 1 or fig. 2, the third embodiment of the multi-channel video compression post-transmission system according to the present invention is proposed, and is explained based on fig. 1, where the intelligent video processing subsystem includes: a video acquisition module 201, a video processing module 202 and a video encoding module 203.
The video acquisition module 201 is configured to transmit the video image to be selected to different channels, obtain channel images, and transmit the channel images to the video processing module.
It can be understood that the video capture module 201 is responsible for receiving a video image to be selected in the BT1120 format transmitted by the PCIE interface subsystem, and the video image is processed by the video transmission device, and sent to a receiver through a physical channel, or sent to the video processing module 202 after being scaled through an expansion channel.
It should be appreciated that transferring the candidate video images to different channels may facilitate subsequent processing steps.
The video processing module 202 is configured to perform image processing on the channel images of the channels to obtain a target channel image, and transmit the target channel image to the video encoding module 203.
Specifically, the video processing module 202 performs denoising and de-interlacing processing on the channel images of each channel respectively to obtain a channel image to be selected; the video processing module 202 performs scaling processing on the channel image to be selected according to a preset resolution to obtain a channel image to be optimized; the video processing module 202 sharpens the channel image to be optimized to obtain a target channel image, and transmits the target channel image to the video encoding module 203.
It can be understood that the video processing module 203 is a preprocessing unit before video encoding, and mainly completes a unified preprocessing of an input image, such as denoising and de-interlacing, and then performs scaling, sharpening, and the like on each channel, and finally outputs images with different resolutions, where the scaling may be performed according to a preset resolution, or may be performed in other manners, which is not limited in this embodiment.
The video encoding module 203 is configured to perform an encoding operation on the target channel image to obtain a target video image.
Specifically, the video encoding module 203 acquires an occlusion instruction, and extracts an occlusion region and an occlusion image from the occlusion instruction; the video coding module 203 performs a shielding operation on the shielding region according to the shielding image to obtain a video image to be coded; the video encoding module 203 performs encoding operation on the image to be encoded to obtain a target video image.
It should be understood that the video encoding module 203 supports multiple real-time encoding, each encoding is independent of the other, the encoding protocol and the encoding profile may be different, and a typical encoding process includes the processes of receiving an input image, blocking and covering image content, encoding an image, and outputting a code stream.
It should be noted that the video encoding module 203 is composed of an encoding channel sub-module and an encoding protocol sub-module, the channel group supports receiving image input in YUV format, the support format is YUV4:2:0 or YUV4:2:2, after video region management is completed, the image is sent to an encoding channel of a specific protocol type, video encoding is completed, and a code stream is output.
It can be understood that the blocking and covering operation of the image content may be, acquiring a blocking instruction, extracting a blocking region and a blocking image from the blocking instruction, performing a blocking operation on the blocking region according to the blocking image to obtain a video image to be encoded, and then performing an encoding operation on the processed video image to be encoded to obtain a target video image.
In the scheme provided by this embodiment, the video acquisition module 201 transmits the video image to be selected to different channels to obtain channel images, and transmits the channel images to the video processing module; the video processing module 202 performs image processing on the channel images of the channels to obtain a target channel image, and transmits the target channel image to the video encoding module; the video encoding module 203 performs encoding operation on the target channel image to obtain a target video image, so as to encode the video image to be selected to obtain the target video image, thereby improving the stability of the system.
Referring to fig. 4, the present invention provides a multi-channel video compression and post-transmission method, wherein the multi-channel video compression and post-transmission method is based on a multi-channel video compression and post-transmission system, and the multi-channel video compression and post-transmission system comprises: PCIE interface subsystem and intelligent video processing subsystem, the said multipath video compression and transmission method includes:
step S10, the PCIE interface subsystem acquires multiple paths of initial video stream data, and extracts initial video images from the initial video stream data respectively.
It should be noted that the intelligent video processing subsystem in the present invention is an intelligent video processing subsystem based on the haisi embedded SOC, and the multi-channel video compression post-transmission system further includes a PCIE power module in addition to the PCIE interface subsystem and the intelligent video processing subsystem, and the PCIE power module supplies power to the PCIE interface subsystem and the intelligent video processing subsystem.
It can be understood that the specific number of the multiple paths of initial video stream data is set according to actual situations, which is not limited in this embodiment, and in this embodiment, the number is 4, that is, 4 paths of initial video stream data are obtained as an example for description.
It should be understood that the manner of acquiring the initial video stream data may be to receive the video stream data of the PC end through the PCIE interface, and may also be to receive the video stream data of other devices, which is not limited in this embodiment.
It should be understood that the obtained multiple paths of initial video stream data are video data in the conventional RGB format, and therefore, the initial video image extracted from the initial video stream data is also in the RGB format, and it should be understood that the initial video image may be a video image in a unit of frame, which is not limited in this embodiment.
Step S20, the PCIE interface subsystem performs format conversion on the initial video images respectively to obtain video images to be selected, and transmits all the video images to be selected to the intelligent video processing subsystem.
It should be noted that, because the initial video stream data received by the PCIE interface subsystem is in an RGB format, but the haisi SOC only supports the acquisition in the BT1120 format, and the BT1120 cannot transmit data in the RGB format, the initial video image in the RGB format needs to be converted into a YUV format to obtain a to-be-processed video image, then the to-be-processed video image is converted into a to-be-selected video image in the BT1120 format, and all the to-be-selected video images are transmitted to the intelligent video processing subsystem.
It should be understood that this step and the subsequent steps in the present invention are all synchronous processing of 4-way video data.
And step S30, the intelligent video processing subsystem carries out coding operation on the video image to be selected to obtain a target video image.
It can be understood that the intelligent video processing subsystem can transmit the received video images to be selected to different channels, perform denoising and interlacing processing on the video images to be selected in each channel respectively, then perform processing such as scaling and sharpening on each channel respectively, finally obtain images with different resolutions, and then encode each channel respectively to obtain a target video image.
And step S40, the intelligent video processing subsystem takes the target video image as a compressed video image to be output, generates video stream data to be output according to the video image to be output, and transmits the video stream data to be output to a preset terminal device.
It can be understood that the preset terminal device includes an NVR end, a PC end, a recording and playing server, a cloud storage, and the like, which is not limited in this embodiment, and in this embodiment, the preset terminal device is taken as the NVR end for example.
It should be understood that, the intelligent video processing subsystem includes an RTSP video stream pushing module, and before collecting and sending coded data, signaling channel interaction between the intelligent video processing subsystem and the Darwin server is required, the invention adopts the signaling (sdp payload), Setup and Play processes of the RTSP standard, so that the Darwin server end establishes forwarding classes (mainly in qtssrreflector module) and waits for the pushing of RTP data.
It should be understood that the intelligent video processing subsystem further includes a forwarding server, the forwarding server is an RTSP server Darwin, the Darwin supports functions of RTSP push-mode forwarding, RTSP pull-mode forwarding, video recording, playback, WEB background management, etc., the forwarding server has an extremely low delay, the whole test finds that the delay of the VLC playing front-end coded image at the PC end is basically stabilized within 1s, the delay of the NVR playing front-end coded image is stabilized within 1s, and the output of the picture is very fast no matter the PC end or the NVR end plays the live stream.
It should be understood that the intelligent video processing subsystem further includes an ONVIF server module, an ONVIF protocol is a development standard in the video surveillance industry, and is commonly used in a video surveillance system, and an ONVIF interface is divided into different modules, including: the method comprises the steps of equipment discovery, equipment management, equipment input and output service, image configuration, media configuration, real-time streaming media, receiving end configuration, display service, event processing, PTZ control and the like, but the traditional technical scheme is that only one path of ONVIF connection can be realized on a single computer, and the single-path video back-transmission is realized, but the method supports 4 paths of different IP access ONVIF servers, and ensures that 4 paths of videos on a video forwarding server can be in one-to-one correspondence with 4 paths of monitoring channels on NVR.
It should be understood that the intelligent video processing subsystem further includes a WEB intelligent management module, the WEB intelligent management module is responsible for monitoring an operation instruction from a user to the device, and transmitting the operation instruction to the intelligent video processing subsystem or the PCIE interface subsystem to implement management and control of the system.
In this embodiment, with the above scheme, multiple paths of initial video stream data are obtained through the PCIE interface subsystem, and initial video images are respectively extracted from the initial video stream data; the PCIE interface subsystem respectively performs format conversion on the initial video images to obtain video images to be selected, and transmits the video images to be selected to the intelligent video processing subsystem; the intelligent video processing subsystem carries out coding operation on the video image to be selected to obtain a target video image; the intelligent video processing subsystem takes the target video image as a compressed video image to be output, generates video stream data to be output according to the video image to be output, and transmits the video stream data to be output to a preset terminal device, so that the intelligent video processing subsystem performs coding processing on the video stream data by converting multiple paths of initial video stream data into a proper format, and the technical problems of improving the stability and safety of multiple paths of video compression and reducing the operation cost are solved.
Further, as shown in fig. 5, a second embodiment of the multi-channel video compression and post-transmission method according to the present invention is provided based on the first embodiment, and in this embodiment, the PCIE interface subsystem includes: a first encoding module and a second encoding module, wherein the step S20 includes:
step S201, the first encoding module performs color space encoding conversion on the initial video images respectively to obtain to-be-processed video images, and transmits all the to-be-processed video images to the second encoding module.
It should be noted that the first encoding module is a YUV encoding module, the second encoding module is a BT1120 encoding module, and the PCIE interface subsystem further includes a PCIE driving module in addition to the two modules.
It should be understood that PCIE is a high performance interconnect protocol, and can be applied to the fields of network adaptation, graphics acceleration, server, big data transmission, embedded system, etc., and the PCIE protocol is compatible with PCI and PCI-X in the software layer, but at the same time, there are obvious differences, and between two devices, which is a packet-based, serial, point-to-point interconnect, whereby the connected devices share channel bandwidth exclusively, depending on the version number and number of channels used, the performance of the system is expandable, for PCIE2.0, the data transmission rate of each channel in each direction is 5.0Gbit s-1, the requirements of low-speed equipment and high-speed equipment appearing in a certain time can be met from PCIE x 1 to PCIE x 16, in a PCIE bus, a GT (gigatransfer) is used to calculate a peak bandwidth of a PCIE link, where GT is a peak bandwidth transmitted on the PCIE link, and a calculation formula of GT is bus frequency × data bit width × 2.
It can be understood that the PCIE driver module completes receiving of the initial video stream data at the PC end mainly through the PCIE interface, and buffers 4 paths of initial video stream data onto the DDR, so as to perform subsequent multi-channel YUV encoding and BT1120 format packing.
It should be understood that since PCIE receives data in RGB format, but haisi SOC only supports the acquisition of BT1120 format, BT1120 cannot transmit RGB data format, RGB video format needs to be converted into YUV format, where Y 'represents brightness, U and V store chrominance portion, brightness is denoted as Y, prime symbol of Y' is denoted as gamma correction, YUVFormats is divided into two formats: packed formats (packedformats): storing Y, U, V values as a MacroPixels array, similar to the way RGB is stored; planar formats (planar formats): the three components of Y, U, V are stored in different matrixes respectively, and the data format of YUV420P is adopted in the invention.
It can be understood that, the first encoding module performs color space encoding conversion on the initial video image to obtain a to-be-processed video image, that is, the initial video image in RGB format can be converted into the to-be-processed video image in YUV format.
Step S202, the second coding module respectively performs format conversion on the video images to be processed to obtain video images to be selected, and transmits the video images to be selected to the intelligent video processing subsystem.
It can be understood that the interface of the second encoding module has 16 data lines and one clock line, and can support 1080P data transmission, and since the haisi SOC only supports video capture of BT1120, the second encoding module is used to convert the standard video VESA signal into BT1120 for output.
It should be understood that the second encoding module performs format conversion on the video images to be processed respectively to obtain the video images to be selected in the BT1120 format.
In the scheme provided by this embodiment, the first encoding module performs color space encoding conversion on the initial video image to obtain a to-be-processed video image, and transmits the to-be-processed video image to the second encoding module, and the second encoding module performs format conversion on the to-be-processed video image to obtain a to-be-selected video image, and transmits the to-be-selected video image to the intelligent video processing subsystem, so that the initial video image in the RGB format is converted into a format supported by the haisi SOC, and the accuracy of the system is improved.
Further, as shown in fig. 6, a third embodiment of the multi-channel video compression and post-transmission method according to the present invention is proposed based on the first embodiment or the second embodiment, and in this embodiment, based on the first embodiment, the intelligent video processing subsystem includes: a video acquisition module, a video processing module and a video encoding module, wherein the step S30 includes:
step S301, the video acquisition module transmits the video image to be selected to different channels to obtain channel images, and transmits the channel images to the video processing module.
It can be understood that the video capture module is responsible for receiving a video image to be selected in the BT1120 format transmitted by the PCIE interface subsystem, and the video image is processed by the video transmission device, and sent to a receiver through the physical channel, or sent to the video processing module after being scaled through the expansion channel.
It should be appreciated that transferring the candidate video images to different channels may facilitate subsequent processing steps.
Step S302, the video processing module performs image processing on the channel images of each channel to obtain a target channel image, and transmits the target channel image to the video coding module.
Further, the step S302 includes:
the video processing module respectively carries out denoising processing and de-interlacing processing on the channel images of all the channels to obtain channel images to be selected; the video processing module performs scaling processing on the channel image to be selected according to a preset resolution ratio to obtain a channel image to be optimized; the video processing module sharpens the channel image to be optimized to obtain a target channel image, and transmits the target channel image to the video coding module.
It can be understood that the video processing module is a preprocessing unit before video encoding, and mainly completes unified preprocessing of one input image, such as denoising, de-interlacing, and the like, then performs processing such as scaling and sharpening on each channel, and finally outputs images with different resolutions, where the scaling may be performed according to a preset resolution, or may be performed in other manners, which is not limited in this embodiment.
Step S303, the video encoding module performs encoding operation on the target channel image to obtain a target video image.
Further, the step S303 includes:
the video coding module acquires an occlusion instruction, and extracts an occlusion region and an occlusion image from the occlusion instruction; the video coding module carries out shielding operation on the shielding area according to the shielding image to obtain a video image to be coded; and the video coding module performs coding operation on the image to be coded to obtain a target video image.
It should be understood that the video coding module supports multiple real-time coding, each coding is independent of the other, the coding protocol and the coding profile may be different, and a typical coding process includes the processes of receiving an input image, blocking and covering image content, coding an image, and outputting a code stream.
It should be noted that the video coding module is composed of a coding channel sub-module and a coding protocol sub-module, the channel group supports receiving image input in a YUV format, the support format is YUV4:2:0 or YUV4:2:2, after video region management is completed, the image is sent to a coding channel of a specific protocol type, video coding is completed, and a code stream is output.
It can be understood that the blocking and covering operation of the image content may be, acquiring a blocking instruction, extracting a blocking region and a blocking image from the blocking instruction, performing a blocking operation on the blocking region according to the blocking image to obtain a video image to be encoded, and then performing an encoding operation on the processed video image to be encoded to obtain a target video image.
In the scheme provided by this embodiment, the video acquisition module transmits the video image to be selected to different channels to obtain channel images, and transmits the channel images to the video processing module; the video processing module carries out image processing on the channel images of all the channels to obtain target channel images and transmits the target channel images to the video coding module; the video coding module performs coding operation on the target channel image to obtain a target video image, so that the video image to be selected is coded to obtain the target video image, and the stability of the system is improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling an intelligent terminal (which may be a mobile phone, a computer, a terminal, an air conditioner, or a network terminal) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A multi-channel video compression post-transmission system, comprising: a PCIE interface subsystem and an intelligent video processing subsystem;
the PCIE interface subsystem is used for acquiring multiple paths of initial video stream data and respectively extracting initial video images from the initial video stream data;
the PCIE interface subsystem is also used for respectively carrying out format conversion on the initial video images to obtain video images to be selected and transmitting the video images to be selected to the intelligent video processing subsystem;
the intelligent video processing subsystem is used for carrying out coding operation on the video image to be selected to obtain a target video image;
the intelligent video processing subsystem is further configured to use the target video image as a compressed video image to be output, generate video stream data to be output according to the video image to be output, and transmit the video stream data to be output to a preset terminal device.
2. The multi-channel video compression post-transmission system according to claim 1, wherein the PCIE interface subsystem comprises: a first encoding module and a second encoding module;
the first coding module is used for respectively carrying out color space coding conversion on the initial video images to obtain video images to be processed and transmitting the video images to be processed to the second coding module;
and the second coding module is used for respectively carrying out format conversion on the video images to be processed to obtain video images to be selected and transmitting the video images to be selected to the intelligent video processing subsystem.
3. The multi-channel video compression post-transmission system as claimed in claim 1, wherein said intelligent video processing subsystem comprises: the device comprises a video acquisition module, a video processing module and a video coding module;
the video acquisition module is used for transmitting the video image to be selected to different channels to obtain channel images and transmitting the channel images to the video processing module;
the video processing module is used for carrying out image processing on the channel images of all the channels to obtain target channel images and transmitting the target channel images to the video coding module;
and the video coding module is used for coding the target channel image to obtain a target video image.
4. The multi-channel video compression post-transmission system according to claim 3, wherein the video processing module is further configured to perform denoising and de-interlacing processing on the channel images of the channels respectively to obtain a channel image to be selected;
the video processing module is further used for carrying out scaling processing on the channel image to be selected according to a preset resolution ratio to obtain a channel image to be optimized;
the video processing module is further configured to sharpen the channel image to be optimized to obtain a target channel image, and transmit the target channel image to the video encoding module.
5. The multi-channel video compression post-transmission system according to claim 3, wherein the video coding module is further configured to obtain an occlusion instruction, and extract an occlusion region and an occlusion image from the occlusion instruction;
the video coding module is further configured to perform a blocking operation on the blocking area according to the blocking image to obtain a video image to be coded;
the video coding module is further configured to perform a coding operation on the image to be coded to obtain a target video image.
6. A multi-channel video compression and post-transmission method is characterized in that the multi-channel video compression and post-transmission method is based on a multi-channel video compression and post-transmission system, and the multi-channel video compression and post-transmission system comprises: PCIE interface subsystem and intelligent video processing subsystem, the said multipath video compression and transmission method includes:
the PCIE interface subsystem acquires multiple paths of initial video stream data and respectively extracts initial video images from the initial video stream data;
the PCIE interface subsystem respectively performs format conversion on the initial video images to obtain video images to be selected, and transmits the video images to be selected to the intelligent video processing subsystem;
the intelligent video processing subsystem carries out coding operation on the video image to be selected to obtain a target video image;
the intelligent video processing subsystem takes the target video image as a compressed video image to be output, generates video stream data to be output according to the video image to be output, and transmits the video stream data to be output to a preset terminal device.
7. The multi-channel video compression and retransmission method according to claim 6, wherein the PCIE interface subsystem comprises: a first encoding module and a second encoding module;
the PCIE interface subsystem performs format conversion on the initial video images respectively to obtain video images to be selected, and transmits all the video images to be selected to the intelligent video processing subsystem, which specifically includes:
the first coding module performs color space coding conversion on the initial video images respectively to obtain video images to be processed, and transmits the video images to be processed to the second coding module;
and the second coding module respectively performs format conversion on the video images to be processed to obtain video images to be selected, and transmits the video images to be selected to the intelligent video processing subsystem.
8. The multi-channel video compression and post-transmission method as claimed in claim 6, wherein said intelligent video processing subsystem comprises: the device comprises a video acquisition module, a video processing module and a video coding module;
the intelligent video processing subsystem carries out coding operation on the video image to be selected to obtain a target video image, and the method comprises the following steps:
the video acquisition module transmits the video image to be selected to different channels to obtain channel images, and transmits the channel images to the video processing module;
the video processing module carries out image processing on the channel images of all the channels to obtain target channel images and transmits the target channel images to the video coding module;
and the video coding module performs coding operation on the target channel image to obtain a target video image.
9. The multi-channel video compression and post-transmission method according to claim 8, wherein the video processing module performs image processing on the channel images of the channels to obtain a target channel image, and transmits the target channel image to the video encoding module, and the method comprises:
the video processing module respectively carries out denoising processing and de-interlacing processing on the channel images of all the channels to obtain channel images to be selected;
the video processing module performs scaling processing on the channel image to be selected according to a preset resolution ratio to obtain a channel image to be optimized;
the video processing module sharpens the channel image to be optimized to obtain a target channel image, and transmits the target channel image to the video coding module.
10. The method for multi-channel video compression and post-transmission according to claim 8, wherein the video encoding module performs an encoding operation on the target channel image to obtain a target video image, and comprises:
the video coding module acquires an occlusion instruction, and extracts an occlusion region and an occlusion image from the occlusion instruction;
the video coding module carries out shielding operation on the shielding area according to the shielding image to obtain a video image to be coded;
and the video coding module performs coding operation on the image to be coded to obtain a target video image.
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| CN112261460B (en) * | 2020-10-19 | 2022-09-27 | 天津津航计算技术研究所 | PCIE (peripheral component interface express) -based multi-channel video decoding scheme design method |
| CN113099271A (en) * | 2021-04-08 | 2021-07-09 | 天津天地伟业智能安全防范科技有限公司 | Video auxiliary information encoding and decoding methods and electronic equipment |
| CN114025134A (en) * | 2021-11-02 | 2022-02-08 | 北京轨道交通路网管理有限公司 | Video monitoring image processing method and device and nonvolatile storage medium |
| CN114882612A (en) * | 2022-05-27 | 2022-08-09 | 六安智梭无人车科技有限公司 | Unmanned vehicle monitoring system and method |
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