CN112135189A - Vehicle-mounted video data processing method, device and system - Google Patents
Vehicle-mounted video data processing method, device and system Download PDFInfo
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Abstract
The invention provides a method, a device and a system for processing vehicle-mounted video data. The processing method specifically comprises the following steps: determining a first video parameter for locally stored first in-vehicle video data; determining second video parameters of second in-vehicle video data for network transmission; processing original vehicle-mounted video data based on the first video parameter and the second video parameter respectively to generate first vehicle-mounted video data and second vehicle-mounted video data; storing the first vehicle-mounted video data into a local memory; and outputting the second vehicle-mounted video data to a cloud storage through a network. According to the processing method, the processing device and the processing system, the vehicle-mounted video data used for local storage and remote network transmission are respectively processed according to different parameters, so that the vehicle-mounted video data can be displayed and seen back at a local end in a high-definition mode, cloud transmission is accelerated, transmission flow is saved, and user experience of vehicle owners can be improved.
Description
Technical Field
The invention relates to the field of intelligent vehicles, in particular to a method and a device for processing vehicle-mounted video data by an intelligent vehicle with a vehicle-mounted camera device.
Background
With the development of economy, particularly the development of the automobile industry, the number of automobiles in the society is more and more at present, along with the improvement of the living standard of people, the automobiles are very popular as walking tools, the configuration requirements of consumers on the automobiles are higher and higher when the consumers buy the automobiles, but the common automobile configuration in the market at present can not meet the requirements of the consumers on the humanization and the intellectualization of the automobiles.
At present, more and more vehicles are equipped with a driving recorder, i.e. a recorder for recording relevant information such as images and sounds during the driving of the vehicle. After the automobile data recorder is installed, the video images and the sound of the whole automobile driving process can be recorded, and evidence can be provided for traffic accidents. People who like self-driving tour can also use it to record the process of overcoming difficult obstructions. The video recording is carried out while driving, and the time, the speed and the position are recorded in the video recording, so that the video recording device is a black box.
For the vehicle-mounted video data recorded by the automobile data recorder, in the prior art, the vehicle-mounted video data is either stored in a local memory of the automobile data recorder, such as various flash memory cards, or transmitted to a cloud memory for convenience. Even the latest technology can realize local storage and transmit data to a remote server, and the data stored locally and the data transmitted to the remote server are the same video data.
The video remote wireless transmission is limited by network bandwidth, a limited bandwidth network is difficult to bear video streams with overlarge code rate, high-definition videos have the problems of blockage, large delay, serious data loss and the like in transmission, and high-definition video transmission brings high network cost. Due to the limitation of network transmission, if the speed of network transmission is to be increased and the flow required by transmission is to be reduced, the quality of the transmitted video data needs to be reduced, so that the quality of the video stored locally is not high, which is not beneficial to high-definition display and review of the video. Especially for vehicle-mounted video, the locally stored video data is usually required to be used for image recognition for driving assistance, and the data quality requirement is high. And because the vehicle-mounted attribute also tends to look over related data through the cloud very much, need upload a large amount of vehicle-mounted video data to the cloud, the demand of local and cloud is all very big, but these two are conflicting again, are difficult to coordinate.
In view of this, it is desirable to provide a method for processing vehicle-mounted video data, which can combine local storage and remote network transmission, so that the vehicle-mounted video data can be displayed and reviewed in a high-definition manner at a local end, the network transmission rate is increased, and the traffic required for transmission is reduced, thereby improving the user experience of a vehicle owner.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
As described above, in order to solve the problems that high-definition vehicle-mounted video data is jammed and delayed, data loss is serious, high-definition video transmission brings high network charges, and low-quality vehicle-mounted video data is not beneficial to local high-definition display and review in the prior art, an aspect of the present invention provides a vehicle-mounted video data processing method, which specifically includes:
determining a first video parameter for locally storing vehicle-mounted video data and a second video parameter for network transmission of the vehicle-mounted video data;
processing original vehicle-mounted video data based on the first video parameter and the second video parameter respectively to generate first vehicle-mounted video data and second vehicle-mounted video data;
storing the first vehicle-mounted video data into a local memory; and
and outputting the second vehicle-mounted video data to a cloud storage through a network.
In an embodiment of the processing method, optionally, the determining the second video parameter further includes:
monitoring the current bandwidth of the network; and
and determining the second video parameter according to the current bandwidth.
In an embodiment of the processing method, optionally, the second video parameter includes a second video resolution and a second video code stream; wherein
The larger the current bandwidth is, the closer the second video resolution is to the original resolution of the original vehicle-mounted video data, and the larger the second video code stream is.
In an embodiment of the processing method, optionally, the processing the original vehicle-mounted video data based on the second video parameter further includes:
encoding the original vehicle-mounted video data based on the second video resolution; and
and compressing the encoded original vehicle-mounted video data based on the second video code stream.
In an embodiment of the processing method, optionally, the first video parameter includes a first video resolution and a first video code stream; wherein
The first video resolution is the original resolution of the acquired original vehicle-mounted video data;
the first video code stream is a preset local video code stream.
In an embodiment of the processing method, optionally, the processing the original vehicle-mounted video data based on the first video parameter further includes:
encoding the original vehicle-mounted video data based on the original resolution; and
and compressing the encoded original vehicle-mounted video data based on the local video code stream.
In an embodiment of the processing method, optionally, the second video parameter includes a second video resolution and a second video code stream; wherein
Said second video resolution is not greater than said first video resolution; and
the second video code stream is not larger than the first video code stream.
In an embodiment of the processing method, optionally, the processing method further includes:
carrying out picture identification based on the first vehicle-mounted video data so as to assist driving; and/or
And outputting the first vehicle-mounted video data to a local display device for displaying and replaying.
Another aspect of the present invention further provides a processing apparatus for vehicle-mounted video data, where the processing apparatus includes:
a memory; and
a processor connected to the memory; wherein
The processor is configured to:
determining a first video parameter for locally stored first in-vehicle video data;
determining second video parameters of second in-vehicle video data for network transmission;
processing original vehicle-mounted video data based on the first video parameter and the second video parameter respectively to generate first vehicle-mounted video data and second vehicle-mounted video data;
storing the first vehicle-mounted video data into the memory; and
and outputting the second vehicle-mounted video data to a cloud storage through a network.
In an embodiment of the processing apparatus, optionally, the determining the second video parameter further includes:
monitoring the current bandwidth of the network; and
and determining the second video parameter according to the current bandwidth.
In an embodiment of the processing apparatus, optionally, the second video parameter includes a second video resolution and a second video stream; wherein
The larger the current bandwidth is, the closer the second video resolution is to the original resolution of the original vehicle-mounted video data, and the larger the second video code stream is.
In an embodiment of the processing device, optionally, the processing, by the processor, the raw vehicle-mounted video data based on the second video parameter further includes:
encoding the original vehicle-mounted video data based on the second video resolution; and
and compressing the encoded original vehicle-mounted video data based on the second video code stream.
In an embodiment of the processing apparatus, optionally, the first video parameter includes a first video resolution and a first video stream; wherein
The first video resolution is the original resolution of the acquired original vehicle-mounted video data;
the first video code stream is a preset local video code stream.
In an embodiment of the processing device, optionally, the processing, by the processor, the raw vehicle-mounted video data based on the first video parameter further includes:
encoding the original vehicle-mounted video data based on the original resolution; and
and compressing the encoded original vehicle-mounted video data based on the local video code stream.
In an embodiment of the processing apparatus, optionally, the second video parameter includes a second video resolution and a second video stream; wherein
Said second video resolution is not greater than said first video resolution; and
the second video code stream is not larger than the first video code stream.
In an embodiment of the processing apparatus, optionally, the processor is further configured to:
carrying out picture identification based on the first vehicle-mounted video data so as to assist driving; and/or
And outputting the first vehicle-mounted video data to a local display device for displaying and replaying.
Another aspect of the present invention further provides a processing system for vehicle-mounted video data, where the processing system includes:
the vehicle-mounted camera device is used for acquiring original vehicle-mounted video data;
the processing apparatus of the in-vehicle video data as described in any one of the above embodiments; and
and the cloud storage is used for storing second vehicle-mounted video data which are output by the processing device and used for cloud storage.
Another aspect of the present invention also provides a computer readable medium having stored thereon computer readable instructions, which, when executed by a processor, implement the steps of the method for processing vehicle-mounted video data as described in any one of the above embodiments.
According to the vehicle-mounted video data processing method, device and system, the video processing parameters respectively corresponding to the local storage and the cloud transmission are set, so that the contradiction that the local high-definition video storage and the remote transmission are not suitable for high-definition videos can be solved. The problems of video data blocking, delaying and data loss caused by network bandwidth limitation are solved, and the requirements of the cloud on video processing are met. The local storage and remote network transmission of the vehicle-mounted video data can be simultaneously considered.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
Fig. 1 is a flow chart illustrating an embodiment of a processing method of in-vehicle video data according to an aspect of the present invention.
Fig. 2 is a schematic diagram illustrating a structure of an apparatus for processing in-vehicle video data according to another aspect of the present invention.
Fig. 3 is a schematic diagram illustrating a structure of a system for processing in-vehicle video data according to another aspect of the present invention.
Reference numerals
100 vehicle-mounted image pickup device
200 processing device
210 processor
211 encoder
212 compressor
213 processor
214 encoder
220 memory
300 cloud storage
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
The following description is presented to enable any person skilled in the art to make and use the invention and is incorporated in the context of a particular application. Various modifications, as well as various uses in different applications will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to a wide range of embodiments. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
In the following detailed description, numerous specific details are set forth in order to provide a more thorough understanding of the invention. It will be apparent, however, to one skilled in the art that the practice of the invention may not necessarily be limited to these specific details. In other instances, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the present invention.
The reader's attention is directed to all papers and documents which are filed concurrently with this specification and which are open to public inspection with this specification, and the contents of all such papers and documents are incorporated herein by reference. All the features 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. Thus, unless expressly stated otherwise, each feature disclosed is one example only of a generic series of equivalent or similar features.
Note that where used, the designations left, right, front, back, top, bottom, positive, negative, clockwise, and counterclockwise are used for convenience only and do not imply any particular fixed orientation. In fact, they are used to reflect the relative position and/or orientation between the various parts of the object. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
It is noted that, where used, further, preferably, still further and more preferably is a brief introduction to the exposition of the alternative embodiment on the basis of the preceding embodiment, the contents of the further, preferably, still further or more preferably back band being combined with the preceding embodiment as a complete constituent of the alternative embodiment. Several further, preferred, still further or more preferred arrangements of the belt after the same embodiment may be combined in any combination to form a further embodiment.
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
As described above, in order to solve the problems that high-definition vehicle-mounted video data is jammed and delayed, data loss is serious, high-definition video transmission brings high network charges, and low-quality vehicle-mounted video data is not beneficial to local high-definition display and review in the prior art, an aspect of the present invention provides a vehicle-mounted video data processing method, and referring to fig. 1, fig. 1 shows a flowchart of an embodiment of the vehicle-mounted video data processing method provided in an aspect of the present invention. As shown in fig. 1, a method for processing vehicle-mounted video data provided by an aspect of the present invention specifically includes: step S110: determining a first video parameter for locally storing the vehicle-mounted video data; step S120: determining a second video parameter for network transmission of the vehicle-mounted video data; step S130: processing original vehicle-mounted video data based on the first video parameter and the second video parameter respectively to generate first vehicle-mounted video data and second vehicle-mounted video data correspondingly; step S140: storing the first vehicle-mounted video data into a local memory; and step S150: and outputting the second vehicle-mounted video data to a cloud storage through a network.
In an embodiment, in the step S110, the determined first video parameter includes a first video resolution and a first video stream; the first video resolution is the original resolution of the acquired original vehicle-mounted video data; the first video code stream is a preset local video code stream.
After determining the first video parameter for the locally stored first in-vehicle video data, in step S130, processing the original in-vehicle video data based on the first video parameter further includes: encoding the original vehicle-mounted video data based on the original resolution; and compressing the encoded original vehicle-mounted video data based on the local video code stream.
It can be understood that, when the vehicle-mounted camera device performs video data acquisition, the highest resolution on the physical hardware of the vehicle-mounted camera device is generally adopted for acquiring the video data due to the quality of the acquired video data. The acquired raw vehicle-mounted video data has higher resolution, such as 1080 p. Since the local storage is not subject to bandwidth at the time of network transmission, the original in-vehicle video data can be encoded with the resolution of the original in-vehicle video data at the time of generating the first in-vehicle video data for local storage. Similarly, the preset local video stream is also a larger stream, for example, 10 Mbps. Thereby being capable of guaranteeing the quality of the video.
In an embodiment, the step S120 of determining the second video parameter further includes: monitoring the current bandwidth of the network; and determining the second video parameter according to the current bandwidth.
Specifically, the second video parameter includes a second video resolution and a second video code stream; the larger the current bandwidth is, the closer the second video resolution is to the original resolution of the original vehicle-mounted video data, and the larger the second video code stream is.
In the above embodiments, the bandwidth status of the current network is obtained by various existing or future ways, for example, by monitoring the trace data stream, it can be understood that the unit of the network bandwidth is bps, and the unit of the code stream is also bps, and it can be considered that the wider the network bandwidth is, the larger the video code stream can be supported. Meanwhile, if the network bandwidth is larger, it is easier to recognize that high quality video data is transmitted, and thus, the video resolution may be closer to the original resolution.
Generally, the second video resolution is not greater than the first video resolution, and the second video stream is not greater than the first video stream. For example, because the cloud storage is affected by the network bandwidth and the traffic cost, a video stream with low resolution (e.g., 480p) and small bit rate (e.g., 1Mbps) is transmitted to the cloud. The local storage can adopt high resolution (such as 1080p) and large code stream (such as 10Mbps) because the network bandwidth and traffic cost are not considered.
After determining the second video parameter of the second vehicle-mounted video data for network transmission, in step S130, processing the original vehicle-mounted video data based on the second video parameter further includes: encoding the original vehicle-mounted video data based on the second video resolution; and compressing the encoded original vehicle-mounted video data based on the second video code stream.
The resolution and codestream of video are 2 different concepts. Resolution is the pixel size of each frame of image in a video source, and high resolution is simply understood to be full high definition, etc., such as 1080p and 720 p. The video code stream is the size of video data per second, and is related to video coding and compression, and the larger the compression ratio is, the smaller the video code stream with the same resolution is, and the worse the picture quality is. When encoding a video, the format and resolution of the video can be adjusted, and when compressing a video, the compression ratio of the video can be determined, which affects the video stream.
The processing method of the vehicle-mounted video data provided by the invention adopts the processor with strong processing capacity to process the video data collected by the camera module into 2 paths of video streams with different resolutions and code streams when the processor is used for coding and compressing the video data.
The local storage uses high-resolution large-code-stream video streams, meets the requirement of high-definition video local storage, is used for better review display experience effect, and is also used for processing and application of background video images of the vehicle machine, such as image recognition to assist a driver in driving.
The video remote wireless transmission is limited by network bandwidth, a limited bandwidth network is difficult to bear video streams with overlarge code rate, high-definition videos have the problems of blockage, large delay, serious data loss and the like in transmission, and high-definition video transmission brings high network cost. The video stream of the cloud adopts the low-resolution small-code-stream video stream for remote wireless transmission, so that the problems of video data blockage, delay and data loss caused by network bandwidth limitation are solved, and the requirement of the cloud on video processing is met.
The technology of using the dual-code stream can well solve the contradiction that local high-definition video storage and remote transmission are not suitable for high-definition video. Meanwhile, in the processing method provided by the invention, the size of the code stream can be flexibly selected according to the network bandwidth, which is one-time speed-up of network video monitoring, and the fluency of video transmission is ensured to the maximum extent.
In another aspect of the present invention, a device for processing vehicle-mounted video data is further provided, please refer to fig. 2, and fig. 2 shows a device for processing vehicle-mounted video data. As shown in fig. 2, the processing apparatus 200 for in-vehicle video data includes a processor 210 and a memory 220. The processor 210 of the apparatus 200 for processing vehicle-mounted video data can implement the method for processing vehicle-mounted video data described above when executing the computer program stored in the memory 220, and please refer to the description of the method for processing vehicle-mounted video data, which is not described herein again.
Referring to fig. 3, as shown in fig. 3, the processing system for vehicle-mounted video data includes a vehicle-mounted camera 100 for acquiring original vehicle-mounted video data; the processing apparatus 200 of the in-vehicle video data as described above; and a cloud storage 300, configured to store the second vehicle-mounted video data output by the processing apparatus 200 and used for cloud storage.
More specifically, as described above, the processor 210 of the processing device 200 may be further divided into encoders 211, 213 and compressors 212, 214. The video data generated by the encoder 211 and the compressor 212 are used for storing in the local storage 220, and the video data generated by the encoder 213 and the compressor 214 are used for transmitting to the cloud storage 300 through the 4G/5G/wireless network and storing in the cloud storage 300.
It will be appreciated that although the encoder and compressor will be refined, they may in fact be implemented in software in the same processor, rather than in a hardware chip as is actually present. In another embodiment, the encoder and the compressor may be separate hardware chips, so as to achieve better encoding and compression capabilities. Also, for the encoders 211, 213, they may actually be the same piece of hardware or the same set of software, although shown separately, this does not necessarily mean that there are two pieces of hardware. The compressors 212, 214 may actually be the same piece of hardware or set of software, and although shown separately, this does not necessarily mean that there are two pieces of hardware.
The present invention also provides a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of processing vehicle-mounted video data as described above. For details, please refer to the above description about the processing method of the vehicle-mounted video data, which is not repeated herein.
The various illustrative logical modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description is provided to enable any person skilled in the art to practice the various aspects described herein. It is to be understood that the scope of the invention is to be defined by the appended claims and not by the specific constructions and components of the embodiments illustrated above. Those skilled in the art can make various changes and modifications to the embodiments within the spirit and scope of the present invention, and these changes and modifications also fall within the scope of the present invention.
Claims (18)
1. A processing method of vehicle-mounted video data is characterized by comprising the following steps:
determining a first video parameter for locally storing vehicle-mounted video data and a second video parameter for network transmission of the vehicle-mounted video data;
processing original vehicle-mounted video data based on the first video parameter and the second video parameter respectively to generate first vehicle-mounted video data and second vehicle-mounted video data correspondingly;
storing the first on-board video data to a local memory; and
and outputting the second vehicle-mounted video data to a cloud storage through a network.
2. The processing method of claim 1, wherein said determining second video parameters for network transmission of in-vehicle video data comprises:
monitoring a current bandwidth of the network; and
and determining the second video parameter according to the current bandwidth.
3. The processing method of claim 2, wherein the second video parameters comprise a second video resolution and a second video bitstream; wherein
The larger the current bandwidth is, the closer the second video resolution is to the original resolution of the original vehicle-mounted video data, and the larger the second video code stream is.
4. The processing method of claim 3, wherein processing the raw in-vehicle video data based on the second video parameters further comprises:
encoding the raw in-vehicle video data based on the second video resolution; and
and compressing the encoded original vehicle-mounted video data based on the second video code stream.
5. The processing method of claim 1, wherein the first video parameters comprise a first video resolution and a first video bitstream; wherein
The first video resolution is the original resolution of the acquired original vehicle-mounted video data;
the first video code stream is a preset local video code stream.
6. The processing method of claim 5, wherein processing the raw in-vehicle video data based on the first video parameters further comprises:
encoding the raw vehicle video data based on the raw resolution; and
and compressing the encoded original vehicle-mounted video data based on the local video code stream.
7. The processing method of claim 5, wherein the second video parameters comprise a second video resolution and a second video bitstream; wherein
The second video resolution is not greater than the first video resolution; and
the second video code stream is not larger than the first video code stream.
8. The process of claim 1, wherein the process further comprises:
performing picture recognition based on the first vehicle-mounted video data for driving assistance; and/or
And outputting the first vehicle-mounted video data to a local display device for displaying and playing back.
9. An apparatus for processing vehicle-mounted video data, the apparatus comprising:
a memory; and
a processor coupled to the memory; wherein
The processor is configured to:
determining a first video parameter for locally storing vehicle-mounted video data and a second video parameter for network transmission of the vehicle-mounted video data;
processing original vehicle-mounted video data based on the first video parameter and the second video parameter respectively to generate first vehicle-mounted video data and second vehicle-mounted video data correspondingly;
storing the first in-vehicle video data to the memory; and
and outputting the second vehicle-mounted video data to a cloud storage through a network.
10. The processing apparatus as in claim 9, wherein the processor determining second video parameters for network transmission of in-vehicle video data comprises:
monitoring a current bandwidth of the network; and
and determining the second video parameter according to the current bandwidth.
11. The processing apparatus of claim 10, wherein the second video parameters comprise a second video resolution and a second video bitstream; wherein
The larger the current bandwidth is, the closer the second video resolution is to the original resolution of the original vehicle-mounted video data, and the larger the second video code stream is.
12. The processing apparatus as defined in claim 11, wherein the processor processing the raw in-vehicle video data based on the second video parameters further comprises:
encoding the raw in-vehicle video data based on the second video resolution; and
and compressing the encoded original vehicle-mounted video data based on the second video code stream.
13. The processing apparatus of claim 9, wherein the first video parameters comprise a first video resolution and a first video bitstream; wherein
The first video resolution is the original resolution of the acquired original vehicle-mounted video data;
the first video code stream is a preset local video code stream.
14. The processing apparatus as defined in claim 13, wherein the processor processing the raw in-vehicle video data based on the first video parameters further comprises:
encoding the raw vehicle video data based on the raw resolution; and
and compressing the encoded original vehicle-mounted video data based on the local video code stream.
15. The processing apparatus of claim 13, wherein the second video parameters comprise a second video resolution and a second video bitstream; wherein
The second video resolution is not greater than the first video resolution; and
the second video code stream is not larger than the first video code stream.
16. The processing apparatus as recited in claim 9, wherein said processor is further configured to:
performing picture recognition based on the first vehicle-mounted video data for driving assistance; and/or
And outputting the first vehicle-mounted video data to a local display device for displaying and playing back.
17. A system for processing in-vehicle video data, the system comprising:
the vehicle-mounted camera device is used for acquiring original vehicle-mounted video data;
the processing device of the vehicle mounted video data according to any one of claims 8-14; and
and the cloud storage is used for storing second vehicle-mounted video data which are output by the processing device and used for cloud storage.
18. A computer readable medium having stored thereon computer readable instructions which, when executed by a processor, carry out the steps of the method of processing vehicle video data according to any one of claims 1 to 8.
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