CN112543372A - Method, device and storage medium for distributing video code rate - Google Patents
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- 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
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- 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
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Abstract
The present disclosure relates to the field of image processing technologies, and in particular, to a method, an apparatus, and a storage medium for allocating video bit rates, which are used to solve the technical problem in the related art that allocating video images with average bit rates is unreasonable. The method for distributing the video code rate comprises the following steps: converting the received video data into image data; analyzing the content of the image in the image data, and acquiring a target area of the target content in the image; allocating different code rates to a target area and a non-target area in an image; and performing coding compression operation on the image according to the allocated code rate.
Description
Technical Field
The present disclosure relates to the field of image processing technologies, and in particular, to a method and an apparatus for allocating video bitrate, and a storage medium.
Background
The compressed video stream usually has a bandwidth limitation, and how to reasonably distribute limited stream data to each block of an image is a difficult problem of a video encoder. In the related art, in code rate allocation of a video coding system, an average code rate allocation method is generally adopted, that is, each coding block in an image frame equally allocates the code rate of the image frame.
Disclosure of Invention
The present disclosure provides a method, an apparatus, and a storage medium for allocating video bit rates, so as to solve the technical problem in the related art that allocating video images with an average bit rate is not reasonable.
To achieve the above object, in a first aspect of the embodiments of the present disclosure, a method for allocating a video bitrate is provided, where the method includes:
converting the received video data into image data;
analyzing the content of the image in the image data, and acquiring a target area of the target content in the image;
allocating different code rates to a target area and a non-target area in an image;
and performing coding compression operation on the image according to the allocated code rate.
Optionally, converting the received video data into image data, comprises:
the received video data is converted into image frames in the format required by the video encoder.
Optionally, analyzing the content of the image in the image data to obtain the target area of the target content in the image, includes:
confirming whether target content exists in the content of each image frame;
when target content exists in the content of the image frame, coordinate position information of the target content in the image frame is obtained;
and determining a target area of the target content in each image frame according to the coordinate position information.
Optionally, allocating different code rates to the target region and the non-target region in the image includes:
counting the number of coding blocks occupied by a target area and a non-target area;
setting the code rate corresponding to the coding block of the target area to be K times of the code rate corresponding to the coding block of the non-target area, and calculating the code rate corresponding to the coding block of the target area and the code rate corresponding to the coding block of the non-target area; wherein K > 1.
Optionally, an image frame is set to include N coding blocks, the code rate of the image frame after being coded and compressed is Y bits, the number of the coding blocks in the target area is X, wherein N >1, Y >1, and X > 1;
the code rate corresponding to the coding block of the target area and the code rate corresponding to the coding block of the non-target area are calculated according to the following expressions:
M_blk_focus＝(Y×K)/(N+(K-1)×X)；
M_blk_usu＝Y/(N+(K-1)×X)；
wherein, M _ blk _ focus is a code rate of the target region, and M _ blk _ usu is a code rate of the non-target region.
Optionally, the method further comprises:
when the target content does not exist in the content of the image frame, the code rate of each coding block in the image frame is calculated according to the following expression:
M_blk＝Y/N；
and M _ blk is the target code rate corresponding to each coding block.
Optionally, the method further comprises:
receiving input setting information for setting target content;
and confirming the target content according to the setting information.
Optionally, the target content at least includes at least one object information of a human body, a human face and a license plate.
In a second aspect of the embodiments of the present disclosure, an apparatus for allocating a video bitrate is provided, where the apparatus includes:
a memory having a computer program stored thereon; and
a processor for executing the computer program in the memory to implement the steps of the method of any of the first aspects above.
In a third aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps of the method of any one of the above first aspects.
By adopting the technical scheme, the following technical effects can be at least achieved:
according to the method and the device, the target area of the target content in the image is obtained by identifying the image obtained by processing the video, different code rates can be distributed to the target area and the non-target area in the image according to the user requirements, a video encoder can distribute more code streams to the image area where the target object of interest is located, the code streams are reasonably distributed in one frame of image, and the technical problem that the video image is unreasonably distributed by adopting the average code rate in the related technology is solved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
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The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a flowchart illustrating a method for allocating a video bitrate according to an exemplary embodiment of the disclosure.
Fig. 2 is a picture diagram of an image frame shown in an exemplary embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating another method for allocating a video bitrate according to an exemplary embodiment of the disclosure.
Fig. 4 is a flowchart illustrating a method for allocating a video bitrate, according to an exemplary embodiment of the present disclosure, including the step of allocating bitrates of a target region and a non-target region.
Fig. 5 is a block diagram illustrating an apparatus for allocating a video bitrate according to an exemplary embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and examples, so that how to apply technical means to solve technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present disclosure.
The inventor of the present disclosure finds, through research, that in the related art, the code rate of each coding block in an image frame is allocated by using an average code rate allocation method, so that the code rate of a key region of an image where a key object (such as a license plate, a human body, a human face, and the like) is located in the image is the same as the code rate of a non-key region, that is, the image definition of the key region is the same as the image definition of the non-key region, which is unreasonable. For the user, it is mostly desirable that the image definition of the key area is higher.
Fig. 1 is a flowchart illustrating a method for allocating a video bitrate according to an exemplary embodiment of the present disclosure, so as to solve a technical problem in the related art that it is not reasonable to allocate video images with an average bitrate. As shown in fig. 1, the method for allocating a video bitrate shown in this embodiment may include the following steps:
s11, the received video data is converted into image data.
And S12, analyzing the image content in the image data and acquiring the target area of the target content in the image.
S13, different code rates are assigned to the target region and the non-target region in the image.
And S14, performing coding compression operation on the image according to the allocated code rate.
In step S11, after the video is acquired by the image capturing device, the video data needs to be converted into image data, wherein the image capturing device may be a camera or other device capable of capturing images. Since the video data needs to be encoded by the video encoder, the received video data needs to be converted into image frames in the format required by the video encoder, that is, the images can be put in order from frame to frame in units of frames.
After the conversion into the image data, step S12 is executed to analyze the content of the image in the image data and obtain the target area of the target content in the image. With the rapid development of Artificial Intelligence (AI) technology, AI image recognition technology has been able to accurately recognize key object information in an image, such as: license plate, human body, face, etc. The target content is the key object information in the image. The object in the image can be identified through an AI image identification technology, and the target area in the image where the key object is located is obtained.
Fig. 2 is a picture diagram of an image frame shown in an exemplary embodiment of the present disclosure. As shown in fig. 2, the human body in the image is recognized by AI image recognition technology with the human body as the target content, and a target region S1 and a non-target region S2 containing no human body are obtained.
After obtaining the target area of the target content in the image, step S13 is executed to assign different code rates to the target area and the non-target area in the image. The code rate allocated to the target area can be greater than the code rate allocated to the non-target area, namely the definition of the image of the target area is greater than that of the non-target area; the code rate allocated to the target region may also be smaller than the code rate allocated to the non-target region, that is, the image definition of the target region is smaller than the definition of the non-target region.
When a user wants to clearly acquire image information of a target area, namely, wants to know the content of an image display of the target area, the user can allocate a higher code rate to the target area and allocate a lower code rate to a non-target area, namely, the image definition of the non-target area is sacrificed. When a user does not want others to clearly acquire the image information of the target area, namely, wants to mask the content of the image display of the target area, the user can allocate a larger code rate to the non-target area and allocate a smaller code rate to the target area, namely, the image definition of the target area is sacrificed. After the allocated code rates for the target region and the non-target region are allocated, step S14 may be executed to perform an encoding and compressing operation on the image according to the allocated code rates.
According to the method and the device, the target area of the target content in the image is obtained by identifying the image obtained by processing the video, different code rates can be distributed to the target area and the non-target area in the image according to the user requirements, a video encoder can distribute more code streams to the image area where the target object of interest is located, the code streams are reasonably distributed in one frame of image, and the technical problem that the video image is unreasonably distributed by adopting the average code rate in the related technology is solved.
It should be noted that the method embodiment shown in fig. 1 is described as a series of acts or combinations for simplicity of description, but it should be understood by those skilled in the art that the present disclosure is not limited by the order of acts or steps described. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required in order to implement the disclosure.
Fig. 3 is a flowchart illustrating another method for allocating a video bitrate according to an exemplary embodiment of the present disclosure, so as to solve the technical problem in the related art that it is not reasonable to allocate video images with an average bitrate. As shown in fig. 3, the method for allocating a video bitrate shown in this embodiment may include the following steps:
s21, converting the received video data into image frames in a format required by the video encoder.
S22, the input setting information is received.
S23, the target content is confirmed based on the setting information.
S24, confirming whether there is a target content in the content of each image frame; if yes, go to step S25; if not, step S29 is executed.
S25, coordinate position information of the target content in the image frame is acquired.
S26, a target area of the target content in each image frame is determined based on the coordinate position information.
S27, different code rates are assigned to the target region and the non-target region in the image.
And S28, performing coding compression operation on the image according to the allocated code rate.
S29, the code rate of each coding block in the image frame is evenly distributed and the coding compression operation is performed on the image.
In step S21, since the video data needs to be encoded by the video encoder, the received video data needs to be converted into image frames in the format required by the video encoder, that is, the images are put in units of frames, and can be put in order from frame to frame.
After the conversion into image data, step S22 is executed to receive the input setting information. The setting information is used to set what the target content is, for example: key objects such as license plates, human bodies and human faces. Further, the target content can be confirmed based on the inputted setting information.
After confirming the target content, step S24 is performed to confirm whether the target content exists in the content of each image frame. With the rapid development of Artificial Intelligence (AI) technology, it is possible to accurately identify key object information in an image by an AI image identification technology, and confirm whether a key object exists in the content of each image frame, such as: license plate, human body, face, etc. When the key object is recognized to exist in the image by the AI image recognition technique, step S25 is executed to acquire coordinate position information of the target content in the image frame.
As shown in fig. 2, with a human body as a target content, the AI image recognition technology may be used to recognize the human body in the image to obtain an x/y coordinate position of the image where the human body is located, and further, the target area S1 and the non-target area S2 without the human body may be determined according to the x/y coordinate position of the image where the human body is located.
After obtaining the target area of the target content in the image, step S27 is executed to assign different code rates to the target area and the non-target area in the image. The code rate allocated to the target area can be greater than the code rate allocated to the non-target area, namely the definition of the image of the target area is greater than that of the non-target area; the code rate allocated to the target region may also be smaller than the code rate allocated to the non-target region, that is, the image definition of the target region is smaller than the definition of the non-target region.
When a user wants to clearly acquire image information of a target area, namely, wants to know the content of an image display of the target area, the user can allocate a higher code rate to the target area and allocate a lower code rate to a non-target area, namely, the image definition of the non-target area is sacrificed. When a user does not want others to clearly acquire the image information of the target area, namely, wants to mask the content of the image display of the target area, the user can allocate a larger code rate to the non-target area and allocate a smaller code rate to the target area, namely, the image definition of the target area is sacrificed.
Taking the larger code rate allocated to the target region as an example, please refer to fig. 4, allocating different code rates to the target region and the non-target region in the image may include the following steps:
s271, counting the number of coding blocks occupied by the target area and the non-target area.
S272, setting the code rate corresponding to the coding block in the target area to be K times of the code rate corresponding to the coding block in the non-target area; wherein K > 1.
S273, calculating the code rate corresponding to the coding block in the target area and the code rate corresponding to the coding block in the non-target area.
Suppose that an image frame contains N coding blocks, and the code rate of the image frame after coding compression is Y bits, wherein N >1 and Y > 1. The number of coding blocks in the target area is X, the code rate of the target area is M _ blk _ focus, and the code rate of the non-target area is M _ blk _ usu. The code rate corresponding to the coding block of the target area and the code rate corresponding to the coding block of the non-target area are calculated according to the following expressions:
number of non-target area coding blocks: n _ usu ═ N-X;
total equivalent encoding block number of image frame: n _ total — N _ usu + X × K — N + (K-1) × X;
M_blk_focus＝(Y×K)/(N+(K-1)×X)；
M_blk_usu＝Y/(N+(K-1)×X)。
through the above calculation, each frame of image to be coded obtains 2 different target code rates:
1) m _ blk _ usu: target code rate of non-target area coding blocks;
2) m _ blk _ focus: and target code rate of the target region coding block.
And the AI image recognition technology marks the x/y coordinates of the target area, so that the two target code rates can be respectively applied to different coding blocks of the image to be coded, and the image definition of each coding block is controlled. Because K is greater than 1, the target code rate of the target area is higher, and the image is clearer; the target code rate of the non-target area coding blocks is reduced compared with the code rate which is averagely distributed in the related technology, and the image quality is reduced.
Therefore, the code rate is distributed, and the method is more suitable for the requirement of practical application. For example, when a vehicle event data recorder carries out video coding recording, the image definition of a license plate area is concerned more; when the security monitoring video is coded, the definition of human faces/human bodies can be concerned more.
It should be noted that the video coding rate allocation method in the present disclosure may be implemented by software, or may be implemented by hardware (FPGA/ASIC chip). The video coding rate allocation method in the present disclosure can adapt to the currently proposed video coding standards (such as h.263/h.264/h.265, VP8/VP9, AVS/AVS +, AV1, etc.), and can also adapt to the future proposed video coding standards.
According to the method and the device, the target area of the target content in the image is obtained by identifying the image obtained by processing the video, different code rates can be distributed to the target area and the non-target area in the image according to the user requirements, a video encoder can distribute more code streams to the image area where the target object of interest is located, the code streams are reasonably distributed in one frame of image, and the technical problem that the video image is unreasonably distributed by adopting the average code rate in the related technology is solved.
It should be noted that the method embodiment shown in fig. 3 is described as a series of acts for simplicity of description, but those skilled in the art should understand that the present disclosure is not limited by the described order of acts. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required in order to implement the disclosure.
The present disclosure also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method steps of allocating a video bitrate according to any of the above-mentioned alternative embodiments.
The method implemented when the computer program for allocating video bitrate running on the processor is executed may refer to a specific embodiment of the method for allocating video bitrate of the present disclosure, and is not described herein again.
The processor may be an integrated circuit chip having information processing capabilities. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like.
The present disclosure also provides a device for allocating video bitrate, including:
a memory having a computer program stored thereon; and
a processor configured to execute the computer program in the memory to implement the method steps of allocating a video bitrate according to any of the above-mentioned alternative embodiments.
Fig. 5 is a block diagram illustrating an apparatus 400 for allocating a video bitrate according to an exemplary embodiment. As shown in fig. 5, the apparatus 400 may include: a processor 401, a memory 402, a multimedia component 403, an input/output (I/O) interface 404, and a communication component 405.
The processor 401 is configured to control the overall operation of the apparatus 400, so as to complete all or part of the steps in the above-mentioned method for allocating a video bitrate. The memory 402 is used to store various types of data to support operation of the apparatus 400, and such data may include, for example, instructions for any application or method operating on the apparatus 400, as well as application-related data. The Memory 402 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 403 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 402 or transmitted through the communication component 405. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 404 provides an interface between the processor 401 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 405 is used for wired or wireless communication between the apparatus 400 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 405 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the apparatus 400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described method of assigning video bitrate.
In another exemplary embodiment, a computer readable storage medium, such as a memory 402, comprising program instructions executable by a processor 401 of the apparatus 400 to perform the above-described method of allocating a video bitrate is also provided.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A method for allocating video bitrate, the method comprising:
converting the received video data into image data;
analyzing the content of the image in the image data, and acquiring a target area of the target content in the image;
allocating different code rates to a target area and a non-target area in an image;
and performing coding compression operation on the image according to the allocated code rate.
2. The method of claim 1, wherein converting the received video data into image data comprises:
the received video data is converted into image frames in the format required by the video encoder.
3. The method of claim 2, wherein analyzing the image data for image content to obtain a target area of the target content in the image comprises:
confirming whether target content exists in the content of each image frame;
when target content exists in the content of the image frame, coordinate position information of the target content in the image frame is obtained;
and determining a target area of the target content in each image frame according to the coordinate position information.
4. The method of claim 3, wherein assigning different code rates to the target region and the non-target region in the image comprises:
counting the number of coding blocks occupied by a target area and a non-target area;
setting the code rate corresponding to the coding block of the target area to be K times of the code rate corresponding to the coding block of the non-target area, and calculating the code rate corresponding to the coding block of the target area and the code rate corresponding to the coding block of the non-target area; wherein K > 1.
5. The method of claim 4, wherein an image frame is set to contain N coding blocks, the code rate of the image frame after coding compression is Y bits, and the number of coding blocks in the target region is X, where N >1, Y >1, and X > 1;
the code rate corresponding to the coding block of the target area and the code rate corresponding to the coding block of the non-target area are calculated according to the following expressions:
M_blk_focus＝(Y×K)/(N+(K-1)×X)；
M_blk_usu＝Y/(N+(K-1)×X)；
wherein, M _ blk _ focus is a code rate of the target region, and M _ blk _ usu is a code rate of the non-target region.
6. The method of claim 5, further comprising:
when the target content does not exist in the content of the image frame, the code rate of each coding block in the image frame is calculated according to the following expression:
M_blk＝Y/N；
and M _ blk is the target code rate corresponding to each coding block.
7. The method of any one of claims 1 to 6, further comprising:
receiving input setting information for setting target content;
and confirming the target content according to the setting information.
8. The method of claim 7, wherein the target content comprises at least one object information of a human body, a human face and a license plate.
9. An apparatus for allocating video bitrate, comprising:
a memory having a computer program stored thereon; and
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 8.
10. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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