CN111294647B - Video processing method, device and equipment and storage medium - Google Patents
Video processing method, device and equipment and storage medium Download PDFInfo
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- CN111294647B CN111294647B CN201811506852.2A CN201811506852A CN111294647B CN 111294647 B CN111294647 B CN 111294647B CN 201811506852 A CN201811506852 A CN 201811506852A CN 111294647 B CN111294647 B CN 111294647B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- 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, rendering scenes according to MPEG-4 scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
- H04N21/440218—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display by transcoding between formats or standards, e.g. from MPEG-2 to MPEG-4
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
- H04L47/80—Actions related to the user profile or the type of traffic
- H04L47/805—QOS or priority aware
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- 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, rendering scenes according to MPEG-4 scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
Abstract
The embodiment of the application discloses a video processing method, which comprises the following steps: acquiring a video to be processed through an external interface in a transcoding system; preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video; determining the priority of the preprocessed video according to the attribute information of the preprocessed video; according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video; the embodiment of the application also discloses a video processing device, video processing equipment and a storage medium.
Description
Technical Field
The embodiment of the application relates to the technical field of video processing, and relates to but is not limited to a video processing method, a video processing device, video processing equipment and a storage medium.
Background
In the related technology, a transcoding system receives a video sent by a client through an external interface and stores the video in a database, and the transcoding system scans the database in real time and transcodes an unprocessed video when the unprocessed video is found. However, the transcoding system in the related art cannot adapt to the needs of the user.
Disclosure of Invention
In view of this, embodiments of the present application provide a video processing method, apparatus and device, and a storage medium.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides a video processing method, which comprises the following steps: acquiring a video to be processed through an external interface in a transcoding system;
preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
and according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video.
An embodiment of the present application provides a video processing apparatus, the apparatus includes: the device comprises an acquisition module, a preprocessing module, a first determination module and a distribution module; wherein the content of the first and second substances,
the acquisition module is used for acquiring the video to be processed through an external interface in the transcoding system;
the preprocessing module is used for preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
the first determining module is used for determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
the distribution module is used for distributing system resources to the pre-processing video according to the priority of the pre-processing video so as to process the pre-processing video.
Embodiments of the present application also provide a video processing apparatus, comprising a processor and a memory for storing a computer program capable of running on the processor; wherein the processor is configured to process the steps of the video processing method in the above-mentioned scheme applied to the terminal device when the computer program is executed.
The embodiment of the present application further provides a storage medium, on which a computer program is stored, and when the computer program is processed by a processor, the steps of the video processing method in the above-mentioned scheme applied to the terminal device are implemented.
According to the video processing method, the device, the equipment and the storage medium, the video to be processed is obtained through an external interface in the transcoding system; preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video; determining the priority of the preprocessed video according to the attribute information of the preprocessed video; according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video; therefore, the user requirements can be met, system resources are dynamically allocated to the videos according to the determined priority, and the videos are transcoded.
Drawings
Fig. 1 is a schematic flow chart illustrating an implementation of a video processing method according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating an implementation of a transcoding system in the related art according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a transcoding system according to an embodiment of the present application;
FIG. 4 is a schematic view of a video preprocessing implementation flow according to an embodiment of the present application;
fig. 5 is a schematic flow chart of implementing video scheduling according to an embodiment of the present application;
FIG. 6 is a block diagram of a video processing apparatus according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a video processing apparatus according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and specific embodiments.
Fig. 1 is a schematic flow chart of an implementation of a video processing method in an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step 101: acquiring a video to be processed through an external interface in a transcoding system;
in practical application, the transcoding system comprises an external interface, a client sends a to-be-processed video to the transcoding system through the external interface, and the transcoding system receives the to-be-processed video sent by the client through the external interface and stores the to-be-processed video in a storage system.
Step 102: preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
here, the video configuration information may include: and configuration information related to the video, such as target format, target code rate, target key frame information and the like.
The video configuration information is determined by user requirements, and the video configuration information of the video to be processed can be set based on the user requirements, so that the transcoding system processes the video to be processed according to the user requirements. Such as: if the user needs to convert the Video in the Flash Video (FLV) format into the Video in the Audio Video Interleaved format (AVI) format, the target format of the Video configuration information is the AVI format.
According to the video configuration information of the video to be processed, preprocessing the video to be processed may include: and processing the format and code rate of the video, or adding key frame information and the like to the video to be processed to obtain the preprocessed video.
Step 103: determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
here, the attribute information of the pre-processed video may include: video value, temporal urgency, etc. attributes associated with pre-processing the video.
And after the preprocessed video is obtained, determining attribute information of the preprocessed video, and determining the priority of the preprocessed video according to the attribute information of the preprocessed video.
Such as: according to the video value and the time urgency of the preprocessed video, the priority of the preprocessed video can be determined to be urgent or not.
Step 104: and according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video.
And distributing system resources to the preprocessed video according to the priority determined by the preprocessed video, and processing the preprocessed video by using the distributed system resources.
Such as: when the priority determined by the pre-processing video is emergency, more system resources are allocated to the pre-processing video, and the pre-processing video is processed by utilizing the system resources, so that the pre-processing video with the emergency priority can be processed in time.
When the system resources are utilized to process the pre-processed video, the processing type of the pre-processed video can be determined firstly; and processing the pre-processed video according to the processing type. Here, the processing type may be: a transcoding process type or a coding process type.
Such as: and when the processing type of the pre-processed video is determined to be a transcoding processing type or a coding processing type, carrying out transcoding processing or coding processing on the pre-processed video according to the processing type.
In the embodiment of the application, a video to be processed is obtained through an external interface in a transcoding system; preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video; determining the priority of the preprocessed video according to the attribute information of the preprocessed video; according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video; therefore, the user requirements can be met, system resources are dynamically allocated to the videos according to the determined priority, and the videos are transcoded.
The embodiment of the application provides a video processing method, which comprises the following steps:
step 201: determining the type of the video to be processed according to the video configuration information;
here, the video configuration information may further include: source format, source bitrate, and other video-related configuration information.
The type of the video to be processed can be determined according to the source format, the source code rate, and the like in the video configuration information, such as: the video configuration information corresponding to the user requirement is a video which converts the video to be processed in the FLV format into the video in the AVI format, and the source format of the video to be processed is the FLV format, which indicates that the type of the video to be processed is the video in the FLV format.
Step 202: acquiring a video to be processed through an external interface in a transcoding system;
therefore, when the video to be processed is obtained through the external interface in the transcoding system, the type of the video to be processed can be determined according to the video configuration information, and the video to be processed of the corresponding type is obtained through the external interface in the transcoding system instead of obtaining all the videos to be processed. Therefore, only the video needing to be processed can be acquired, and the processing efficiency is improved.
Step 203: preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
here, the video configuration information may include: and configuration information related to the video, such as target format, target code rate, target key frame information and the like.
The video configuration information is determined by user requirements, and the video configuration information of the video to be processed can be set based on the user requirements, so that the transcoding system processes the video to be processed according to the user requirements.
In one embodiment, the video configuration information includes: target format, target code rate, or target key frame information. When the video configuration information is in the target format, adjusting the format of the video to be processed to the target format, thereby obtaining a preprocessed video; when the video configuration information is the target code rate, adjusting the format of the video to be processed to the target code rate, thereby obtaining a preprocessed video; and when the video configuration information is the target key frame information, adding key frames to the video to be processed according to the target key frame information, thereby obtaining the preprocessed video.
Such as: if the target format of the video configuration information is an AVI format, adjusting the format of the video to be processed into the AVI format to obtain a preprocessed video; and if the code rate format of the video configuration information is 600 bits per second, adjusting the code rate of the video to be processed to 600 bits per second to obtain the preprocessed video.
Step 204: determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
step 205: and according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video.
In the embodiment of the application, the video to be processed can be obtained according to the video configuration information, so that the processing efficiency is improved; and the format, code rate and key frame information of the video to be processed can be preprocessed according to the user requirements, so that the method is suitable for the user requirements.
The embodiment of the application provides a video processing method, which comprises the following steps:
step 301: acquiring a video to be processed through an external interface in a transcoding system;
step 302: preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
step 303: determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
here, the attribute information of the pre-processed video may include: video value, temporal urgency, etc. attributes associated with pre-processing the video.
And after the preprocessed video is obtained, determining attribute information of the preprocessed video, and determining the priority of the preprocessed video according to the attribute information of the preprocessed video.
In one embodiment, the attribute information includes: configuring the video value and the time urgency of the preprocessed video, and configuring the video value, the time urgency, a weight corresponding to the video value and a weight corresponding to the time urgency; determining the priority score of the preprocessed video according to the video value, the time urgency, the weight corresponding to the video value and the weight corresponding to the time urgency, and determining the priority of the preprocessed video according to the priority score.
Such as: the video value of the configured preprocessed video is 1, the time urgency is 2, the weight corresponding to the video value is 0.6, the weight corresponding to the time urgency is 0.4, the parameters are weighted and summed, the priority of the preprocessed video is determined to be 1.4, and the priority of the preprocessed video is determined according to the priority score of 1.4.
In one embodiment, the attribute information further includes: and the residual value density, namely configuring the residual value density of the preprocessed video and a weight corresponding to the residual value density, and when determining the priority score of the preprocessed video, the method comprises the following steps: and determining the priority score of the preprocessed video according to the video value, the time urgency, the residual value density, the weight corresponding to the video value, the weight corresponding to the time urgency and the weight corresponding to the residual value density.
Such as: the video value of the configured preprocessed video is 3, the time urgency is 2, the residual value density is 1, the weight corresponding to the video value is 0.3, the weight corresponding to the time urgency is 0.4, and the weight corresponding to the residual value density is 0.3, the parameters are weighted and summed, the priority of the preprocessed video is determined to be 2, and the priority of the preprocessed video is determined according to the priority score of 2.
In one embodiment, pre-processing the priority of the video includes: the method comprises the steps of emergency or non-emergency, wherein when the priority of a preprocessed video is determined according to a priority score, if the priority score is greater than or equal to a preset score, the priority of the preprocessed video can be determined to be emergency; if the priority score is less than the preset score, the priority of the pre-processed video may be determined to be non-urgent.
Such as: the priority score is 1.4, the preset score is 1.5, and if the priority score is smaller than the preset score, the priority of the preprocessed video is non-urgent; the priority score is 2, the preset score is 1.5, and if the priority score is greater than the preset score, the priority of the preprocessed video is urgent.
It should be noted that the time urgency level and the remaining value density may be changed, and when the time urgency level and the remaining value density are changed, the time urgency level and the remaining value density may be reconfigured.
Step 304: and according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video.
In an embodiment, when the priority of the preprocessed video is urgent, all system resources may be allocated to the preprocessed video, so as to ensure that the preprocessed video with the urgent priority is processed preferentially; and if the priority of the pre-processing video is non-urgent, not allocating system resources to the pre-processing video to wait for the completion of the pre-processing video with the urgent priority.
In the embodiment of the application, the priority of the pre-processed video can be determined according to the attribute information, so that the corresponding system resource is dynamically allocated to process the pre-processed video.
The embodiment of the application provides a video processing method, which comprises the following steps:
step 401: acquiring a video to be processed through an external interface in a transcoding system;
step 402: preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
step 403: determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
step 404: according to the system resource occupation information, the priority of the pre-processing video is adjusted, so that the priority of the pre-processing video becomes higher or lower;
here, the system resource may include a Central Processing Unit (CPU) or a memory, where the system resource occupation information is used to represent an occupation percentage of the system resource when Processing the video, and when the system resource is the CPU, the system resource occupation information is used to represent a usage rate of the CPU; when the system resource is the memory, the system resource occupation information is used for representing the memory utilization rate.
After the priority of the pre-processed video is determined, the occupation percentage of system resources is determined, if the system resources occupied by the pre-processed video exceed a threshold value, the priority of the pre-processed video can be lowered, so that the system resources corresponding to the priority of the pre-processed video are in the threshold value range; if the system resources occupied by the pre-processed video do not exceed the threshold, the priority of the pre-processed video can be increased, so that the system resources corresponding to the priority of the pre-processed video do not exceed the threshold range.
Here, when the priority of the pre-processed video is adjusted, the priority of the pre-processed video may be adjusted using the nice command.
Step 405: and allocating system resources to the preprocessed video according to the higher or lower priority, so that the allocated system resources become larger or smaller.
The priority of the pre-processed video is adjusted so that the priority of the pre-processed video becomes higher or lower. When the priority of the pre-processed video becomes high, allocating larger system resources to the pre-processed video; when the priority of the pre-processing video becomes lower, less system resources are allocated to the pre-processing video.
In the embodiment of the application, the priority of the pre-processed video is adjusted, and the system resources are allocated to the pre-processed video through the adjusted priority, so that the system resources can be dynamically allocated to the pre-processed video.
The embodiment of the application provides a video processing method, which comprises the following steps:
step 501: acquiring a video to be processed through an external interface in a transcoding system;
step 502: preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
step 503: determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
step 504: determining a system resource threshold corresponding to the preprocessed video according to the priority of the preprocessed video;
according to the priority of the pre-processed video, in the corresponding relation between the priority of the pre-processed video and the system resource threshold, determining the system resource threshold corresponding to the pre-processed video, such as: the priority of the pre-processed video is 1, and the system resource threshold 60 corresponding to the pre-processed video can be determined according to the corresponding relationship between the priority of the pre-processed video and the system resource threshold.
Before determining a system resource threshold corresponding to a preprocessed video according to the priority of the preprocessed video, setting the corresponding relation between the priority of the preprocessed video and the system resource threshold. Such as: when the priority of the preprocessed video is 1, the corresponding system resource threshold value is 60; when the priority of the preprocessed video is 2, the corresponding system resource threshold is 40.
Here, when setting the system resource threshold, the system resource threshold may be set using a cpulimit command.
Step 505: and according to the system resource threshold value, allocating system resources to the preprocessed video so that the system resources corresponding to the preprocessed video do not exceed the system resource threshold value.
And allocating the system resources which are equal to or less than the system resource threshold value to the preprocessed video according to the system resource threshold value, so that the system resources corresponding to the preprocessed video do not exceed the system resource threshold value.
In the embodiment of the application, system resources can be allocated to the preprocessing resources according to the system resource threshold value, so that the system resources corresponding to the preprocessing video do not exceed the system resource threshold value.
The embodiment of the present application takes a digitally learned video as an example, and describes a video processing method provided in the embodiment of the present application.
The digital learning is a brand new learning mode that an internet platform is established in the field of education and students learn through a network, and is also called networked learning or digital learning E-learning. The integration of information technology and courses with digital learning as a core is different from the traditional learning mode, and combines the advantages of the traditional teaching mode and the advantages of teaching in a digital environment, so that the complementary advantages of the two modes are the tendency of social development and the great change of educational learning.
The addition of the digital teaching is helpful to change the defects of the existing classroom teaching, enrich the learning resources, create a loose and harmonious learning atmosphere, activate the classroom atmosphere, inspire the thinking of students, and enable the students to experience the joy of learning and success in active participation and full exchange, thereby practically improving the effectiveness of the school teaching. With the deep development of digital teaching and the increase of users, the learning videos needing to be correspondingly increased exponentially.
Because the original video formats, definitions, bit rates, sizes, and the like are different due to different environments of learning video providers, different shooting facilities, and the like, it is necessary to perform video transcoding on the original learning video. Video transcoding systems in the related art typically use both the MetaData Injector (yamdi, Yet other MetaData Injector for FLV) and Fast moving picture (FFmpeg, Fast Forward Mpeg) tools of FLV.
yamdi adds much metadata information to the FLV file, such as creator, whether there is a key frame, whether there is a video, whether there is audio, video height and width, etc.
FFmpeg is a free software that can run the recording, converting and streaming functions of audio and video in a variety of formats, including: the audio and video decoder library libavcodec and the audio and video format conversion library libavformat. libavcodec is a decoder library for audio and video in multiple projects and libavformat is an audio and video format conversion library.
In the related art, the flow of the transcoding system is shown in fig. 2. The transcoding system in the related art is divided into two parts: an outer module 21 and an inner module 22. The two parts are connected as a bridge through a storage system (database). The client sends the video through the external module, and the video is transmitted back to the client after the video conversion is finished. And the transcoding system scans the database in real time, and takes out the video for video transcoding when discovering that the unprocessed video exists. Video transcoding is generally divided into two major parts: transform coding and file addition metadata.
There are three main cases of transcoding: rate conversion, resolution conversion coding and syntax transcoding. The code rate conversion and the resolution conversion are mostly used for intra-syntax transcoding of the same type of code stream. Wherein:
1) code rate conversion: the method is mainly applied to television broadcasting and network transmission and aims to: compatibility between particular stages in digital broadcasting; and in the network transmission, the bandwidth is saved as much as possible under the condition of ensuring effective transmission.
2) Resolution conversion coding: the method comprises time resolution transcoding and spatial resolution transcoding. Some limitations mainly for user decoders, such as: real-time processing capability, decoding-end processing capability, and user-end display resolution.
3) Syntax transcoding: mainly because the compression standards followed by the input and transcoded code streams are different.
The transcoding mechanism in the related art is relatively perfect, but cannot meet the dynamic requirement of user load, and is mainly embodied in that:
1) different users have inconsistent requirements for video conversion response speed in different scenes. If the user imports the resources by himself, the corresponding speed of the resources should be high, so that the user can see and correct the problem of importing the resources by himself in time. The administrator is imported in batch, and the part of resources has not high real-time requirements and can be processed when the system is idle. 2) Different videos have different requirements after transcoding, some videos need to be converted into various videos with different definitions and different code rates, and the other videos do not need to be converted into the video with different definitions and different code rates.
The embodiment of the application dynamically meets the user requirements under the transcoding mechanism of the related technology, dynamically distributes the system resources and the priorities according to the priorities, the inconsistency of the system resources and the transcoded products and the like, and intelligently transcodes the resources.
The video transcoding modular dynamic processing model is shown in fig. 3 and is divided into an external module 30 and an internal module 31, where:
and the external module 30 is used for providing the client for use, the client does not need to care about internal implementation logic, corresponding videos are transmitted through the external module, then the transcoding system carries out video transcoding, and the transcoded videos are pushed to the client.
The internal module 31, divided into different sub-modules, comprises: the system comprises a video preprocessing module 311, a system resource allocation module 312, a priority calculation module 313, a video deposit allocation module 314, a video task scheduling module 315, a processing allocation module 316, a transcoding module 317, a coding module 318 and the like. Wherein:
1) and the video preprocessing module 311 is configured to process and store the basic video information, and prepare for the next processing. The processing flow of the resource preprocessing module is shown in fig. 4, and includes:
step 41: inputting the video into a queue and buffering the video;
step 42: processing the input video by format, code rate, key frame and the like;
step 43: and then the video is output through the queue.
2) The system resource allocation module 312 is configured to adjust the priority of the video using the nice command, and the video may be paused using the cpulimit command to control the occupied processing capacity of the video not to exceed a specific limit. Wherein:
the nice command may modify the priority of the video, which may allow the video to run less frequently. This functionality is particularly useful when running cpu intensive background processes or batch jobs. The nice value ranges from-20, 19, -20 representing the highest priority and 19 representing the lowest priority. The default nice value of the Linux process is 0. With the nice command, without any parameters, the nice value of a process can be set to 10. This allows the scheduler to treat the video as a lower priority video, thereby reducing the allocation of cpu resources.
The working principle of the CPU limit command is that a CPU occupancy rate threshold is preset for a video, whether a process exceeds the threshold is monitored in real time, and if the process exceeds the threshold, the video is paused for a period of time. The cpulimit uses both the signal stop SIGSTOP and the signal continue sigscot to control the process. It does not modify the nice value of the video, but makes dynamic adjustments by monitoring the cpu occupancy of the video. The advantage of the cpu limit is that it can control the upper limit of the cpu usage of the video, but there is also a disadvantage compared to the nice command, that is, even if the cpu is idle, the video cannot fully use the entire cpu resource.
3) A priority calculating module 313, configured to calculate a priority of the pre-processed video according to the video value, the processing urgency (temporal urgency), or the remaining value density.
Various functions of the system are always accomplished by processing related tasks. However, because the importance of the various functions of the system varies throughout the system, there are significant differences in the degree to which the system can handle the various tasks. Obviously, the video value is the inherent attribute of the video and is independent of the time characteristic of the video; in addition, the value of the video is not generated at the moment the video processing is completed, but is a process that gradually accumulates as the video is processed.
The processing method for processing the urgent video of the real-time video system is also different: only considering the urgency of the video which can meet the deadline, and directly carrying out the abortion processing on the video which cannot meet the deadline; the urgency of processing the video is equal to the urgency at which it last started processing and remains unchanged during its processing; the urgency of the active video and the waiting video gradually increases along with the increase of the waiting time of the active video and the waiting video; the processing period of the hibernation video has not yet arrived, regardless of its urgency.
Assuming that all videos are released simultaneously when the real-time video system starts running, the video with the highest basic priority gets the system processing right first. Then, as the system time progresses, the priority of each video in the system dynamically changes.
For processing videos, the processing urgency is kept, but the residual value density of the videos continuously increases along with the increase of the processed time, so that the videos are protected from being preempted by other tasks to a certain extent;
the remaining value density remains the same for both the waiting and active videos, but the processing urgency increases as their latency increases, which provides them with the opportunity to preempt system processing.
In addition, by adjusting the value of the parameter, the influence of the video residual value density and the processing urgency on the video dynamic priority can be adjusted. The video with high residual value density can preferentially obtain the processing power of the system, so that the accumulated value benefit of the system can be improved.
In addition, the residual value density of the processed video is increased along with the increase of the processed time, so that the probability that the processed video is preempted and fails can be reduced, the number of times of video preemption is further reduced, and the successful processing rate of the video is improved. If the residual value density is larger, the video with high processing urgency preferentially obtains the processing right of the system, so that the opportunity that the video with larger residual value density participates in the system processing can be increased. However, the urgency of waiting for a video or an active video increases with the increase of the waiting time, so that the probability of video preemption increases greatly, which may cause a part of videos with high value density to lose effectiveness and reduce the system cumulative value gain.
4) The video storage allocation module 314 is used for storing different types of videos, such as: storing the video of H.264;
5) and the video scheduling module 315 is used for uniformly allocating and calling different modules.
And when the video request arrives, dividing the video into a non-emergency video and an emergency video according to the attribute of the video. Wherein:
the non-urgent video is provided with a quantifiable priority mark, and is queued according to the priority after entering the video queue, and the video priority in the video queue is improved along with the increase of the time in the video. This prevents starvation, i.e. a video with a low priority is not always available for transcoding services because it is always behind a video with a high priority.
The emergency video has very high priority, and can bypass a general video queue and directly request computing resources to complete transcoding. In the case of insufficient available computing resources, other ongoing non-emergency video tasks may be suspended by scheduling, so as to make sufficient computing resources to serve the emergency video task, and ensure that the emergency video task is completed in a relatively short time, and a processing flow of the video scheduling module is as shown in fig. 5, where the flow includes:
step 51: after the video preprocessing module 311 preprocesses the video, the priority calculating module 313 calculates the priority of the video to obtain an emergency task and a non-emergency task;
step 52: for non-urgent tasks, the priority calculation module 313 caches the non-urgent tasks in the task queue 319, and for urgent tasks, resources are allocated to the urgent tasks through the system resource allocation module 315;
step 53: the video scheduling module 315 schedules the emergency tasks and the non-emergency tasks, and the system resource allocation module 315 allocates resources to the emergency tasks so that the video transcoding module 317 transcodes the emergency tasks;
step 54: the system resource allocation module 315 allocates resources to the emergency task so that the video coding module 318 codes the emergency task, and processes the non-emergency task by scheduling the system resources after the emergency task is processed.
6) And the processing and distributing module 316 is used for distributing the processing of the video so that the video is processed by using the transcoding module or the coding module.
7) And the transcoding module 317 is configured to transcode the video.
8) And the coding module 318 is used for coding the video.
The video transcoding modular dynamic processing model transcodes the video as follows:
step 61: the video receiving module receives a video sent by a client and stores the video in a storage system;
step 62: the video preprocessing module is configured according to the user requirements, the configuration information is sent to the video storage and distribution module, and the video storage and distribution module searches videos corresponding to the configuration information in the storage system through video task scheduling and returns the videos to the video storage and distribution module;
and step 63: the video preprocessing module processes the returned video;
step 64: the video scheduling module calls a priority calculating module to calculate the priority of the video;
step 65: according to the calculated priority, the system resource allocation module allocates system resources to video;
and step 66: the processing and distributing module determines that the video uses the transcoding module or the coding module to process;
step 67: and transcoding or coding the video by using the distributed system resources, returning the video to the storage system after the processing is finished, and sending the video to the client.
With the development of networks and multimedia applications, the exchange of information between heterogeneous networks is increasing; in the digital video communication field at the present stage, a plurality of image standards coexist, and the image standards are different in compression efficiency, code rate and compression format except for different syntax formats, and respectively aim at specific application occasions, the network environment, the corresponding decoder performance or the display capability of a display are different, and the importance of a video transcoding system is increasingly highlighted. The technical effects of the embodiment of the application mainly comprise the following contents:
allocating resources to videos through the video dynamics of the system: and dynamically adding the video and distributing the video priority by analyzing the occupation conditions of the current cpu, the memory and the like of the system.
Dynamically assigning transcoding priorities by video attributes: and (4) dynamically adjusting the video queue priority through the video priority attribute when different videos have different priorities.
The mobile network-oriented video transcoding system provided by the embodiment of the application provides the real-time code rate reduction rate and resolution reduction rate of pure software through a high-efficiency transcoding algorithm, and has the advantages of less transcoding quality loss, high real-time performance, low cost, high expandability and flexibility. Aiming at the real-time requirement of transcoding, a self-adaptive strategy of time delay guarantee is particularly provided, the key technical problems of computational complexity and transcoding quality balance are solved, and efficient transcoding is realized.
The modular architecture is convenient to expand: and (4) performing system expansion according to the transcoding size and the number of dynamically added resources such as hosts and the like of the transcoded video.
After the service is modularly split, all service modules are decoupled, so that all the service modules are independent modules and have no dependency relationship. The functions of each module are different, the service logics are different, and the service is decoupled among the modules. The module function is single, and can be used in a plurality of items. Each module is also a complete item in practice, and can be compiled and debugged independently.
Fig. 6 is a schematic structural diagram of a resource processing apparatus according to an embodiment of the present application, and as shown in fig. 6, a resource processing apparatus 60 includes: an acquisition module 601, a preprocessing module 602, a first determination module 603 and a distribution module 604; wherein the content of the first and second substances,
an obtaining module 601, configured to obtain a video to be processed through an external interface in a transcoding system;
the preprocessing module 602 is configured to preprocess the video to be processed according to video configuration information set based on user requirements, so as to obtain a preprocessed video;
a first determining module 603, configured to determine a priority of the preprocessed video according to the attribute information of the preprocessed video;
an allocating module 604, configured to allocate system resources to the pre-processed video according to the priority of the pre-processed video, so as to process the pre-processed video.
In other embodiments, the apparatus 60 further comprises: the second determining module is used for determining the type of the video to be processed according to the video configuration information;
correspondingly, the obtaining module 601 is configured to obtain the video to be processed through an external interface in the transcoding system according to the type of the video to be processed.
In other embodiments, the video configuration information includes: the target format, the target code rate or the target key frame information, the preprocessing module comprises: a format preprocessing unit, a code rate preprocessing unit or a key frame preprocessing unit; wherein:
the format preprocessing unit is used for adjusting the format of the video to be processed into the target format to obtain a preprocessed video;
or, a code rate preprocessing unit, configured to adjust the code rate of the video to be processed to the target code rate, to obtain a preprocessed video;
or, the key frame preprocessing unit is used for adding key frames to the video to be processed according to the target key frame information to obtain a preprocessed video.
In other embodiments, the attribute information includes: video value and temporal urgency, the apparatus further comprising: the first configuration module is used for configuring the video value, the time urgency, the weight corresponding to the video value and the weight corresponding to the time urgency of the preprocessed video;
accordingly, the first determining module comprises: a first determination unit and a second determination unit; wherein:
a first determining unit, configured to determine a priority score of the preprocessed video according to the video value, the time urgency, a weight corresponding to the video value, and a weight corresponding to the time urgency;
and the second determining unit is used for determining the priority of the preprocessed video according to the priority score.
In other embodiments, the attribute information further includes: residual value density, the apparatus 60 further comprising: the second configuration module is used for configuring the residual value density of the preprocessed video and the weight corresponding to the residual value density;
correspondingly, the first determining unit is configured to determine the priority score of the preprocessed video according to the video value, the time urgency, the remaining value density, the weight corresponding to the video value, the weight corresponding to the time urgency, and the weight corresponding to the remaining value density;
and the second determining unit is used for determining the priority of the preprocessed video according to the priority score.
In other embodiments, the priority of the pre-processed video comprises: emergency or non-emergency; the second determination unit includes: a first determining subunit and a second determining subunit; wherein: the first determining subunit is used for determining that the priority of the preprocessed video is urgent if the priority score is greater than or equal to a preset score; the second determining subunit is used for determining that the priority of the preprocessed video is non-urgent if the priority score is smaller than a preset score;
accordingly, the allocation module comprises: a first distribution unit and a second distribution unit; wherein: the first allocation unit is used for allocating all system resources to the preprocessed video if the priority of the preprocessed video is urgent, so as to ensure that the preprocessed video with the urgent priority is processed preferentially; and the second allocation unit is used for not allocating system resources to the preprocessed video to wait for the preprocessed video with the urgent priority to be processed completely if the priority of the preprocessed video is not urgent.
In other embodiments, the assignment module includes: an adjusting unit and a third distributing unit; wherein the content of the first and second substances,
the adjusting unit is used for adjusting the determined priority of the preprocessed video according to the system resource occupation information, so that the priority of the preprocessed video becomes higher or lower;
and the third allocation unit is used for allocating system resources to the preprocessed video according to the higher or lower priority, so that the allocated system resources become larger or smaller.
In other embodiments, the assignment module includes: a third determining unit and a fourth distributing unit; wherein the content of the first and second substances,
a third determining unit, configured to determine, according to the priority of the preprocessed video, a system resource threshold corresponding to the preprocessed video;
and the fourth distribution unit is used for distributing the system resources to the preprocessed video according to the system resource threshold value, so that the system resources corresponding to the preprocessed video do not exceed the system resource threshold value.
It should be noted that, when the video processing apparatus provided in the above embodiment performs video processing, only the division of the above program modules is illustrated, and in practical applications, the processing distribution may be completed by different program modules according to needs, that is, the internal structure of the apparatus may be divided into different program modules to complete all or part of the processing described above. In addition, the video processing apparatus and the video processing method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments in detail and are not described herein again.
Fig. 7 is a schematic diagram illustrating a component structure of a video processing apparatus according to an embodiment of the present application, and as shown in fig. 7, the apparatus includes a processor 702 and a memory 701 for storing a computer program capable of running on the processor 702; the processor 702 is configured to execute the computer program to implement the steps in the video processing method provided in the foregoing embodiments.
Here, it should be noted that: the description of the terminal embodiment is similar to the description of the method, and has the same beneficial effects as the method embodiment, and therefore, the description is omitted. For technical details that are not disclosed in the terminal embodiment of the present application, those skilled in the art should refer to the description of the method embodiment of the present application for understanding, and for the sake of brevity, will not be described again here.
In an exemplary embodiment, the present application further provides a storage medium, specifically a computer-readable storage medium, for example, a memory 701 storing a computer program, which can be processed by a processor 702 to perform the steps of the foregoing method. The computer readable storage medium may be Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disk, or CD-ROM.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when processed by a processor, implements the steps in the video processing method provided in the above embodiments.
Here, it should be noted that: the above description of the computer medium embodiment is similar to the above description of the method, and has the same beneficial effects as the method embodiment, and therefore, the description thereof is omitted. For technical details that are not disclosed in the terminal embodiment of the present application, those skilled in the art should refer to the description of the method embodiment of the present application for understanding, and for the sake of brevity, will not be described again here.
The method disclosed by the embodiment of the present application can be applied to the processor or implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor. The processor described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in a memory and the processor reads the information in the memory and performs the steps of the method described above in conjunction with its hardware.
It will be appreciated that the memory(s) of embodiments of the present application can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The memories described in the embodiments of the present application are intended to comprise, without being limited to, these and any other suitable types of memory.
The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (10)
1. A method of video processing, the method comprising:
acquiring a video to be processed through an external interface in a transcoding system;
preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
according to the priority of the pre-processing video, allocating system resources to the pre-processing video so as to process the pre-processing video;
the allocating system resources to the pre-processed video according to the priority of the pre-processed video comprises:
according to the system resource occupation information, the priority of the pre-processing video is adjusted, so that the priority of the pre-processing video becomes higher or lower;
and allocating system resources to the preprocessed video according to the higher or lower priority, so that the allocated system resources become larger or smaller.
2. The method of claim 1, wherein before the retrieving the video to be processed through the external interface in the transcoding system, the method further comprises:
determining the type of the video to be processed according to the video configuration information;
correspondingly, the acquiring the video to be processed through the external interface in the transcoding system includes:
and acquiring the video to be processed through an external interface in the transcoding system according to the type of the video to be processed.
3. The method of claim 1, wherein the video configuration information comprises: the method comprises the following steps of preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video, wherein the video to be processed comprises a target format, a target code rate or target key frame information, and the preprocessing comprises the following steps:
adjusting the format of the video to be processed to the target format to obtain a preprocessed video; alternatively, the first and second electrodes may be,
adjusting the code rate of the video to be processed to the target code rate to obtain a preprocessed video; alternatively, the first and second electrodes may be,
and adding key frames to the video to be processed according to the target key frame information to obtain a preprocessed video.
4. The method of claim 1, wherein the attribute information comprises: before determining the priority of the pre-processed video according to the attribute information of the pre-processed video, the method further comprises:
configuring the video value, the time urgency, a weight corresponding to the video value and a weight corresponding to the time urgency of the preprocessed video;
correspondingly, the determining the priority of the pre-processed video according to the attribute information of the pre-processed video comprises:
determining a priority score of the preprocessed video according to the video value, the time urgency, a weight corresponding to the video value and a weight corresponding to the time urgency;
and determining the priority of the preprocessed video according to the priority score.
5. The method of claim 4, wherein the attribute information further comprises: a residual value density, wherein before determining the priority of the pre-processed video according to the attribute information of the pre-processed video, the method further comprises:
configuring the residual value density of the preprocessed video and a weight corresponding to the residual value density;
correspondingly, determining the priority score of the preprocessed video according to the video value, the time urgency, the residual value density, the weight corresponding to the video value, the weight corresponding to the time urgency and the weight corresponding to the residual value density.
6. The method of claim 4 or 5, wherein the pre-processing the priority of the video comprises: emergency or non-emergency; said determining a priority of the pre-processed video according to the priority score comprises: if the priority score is larger than or equal to a preset score, determining that the priority of the preprocessed video is urgent; if the priority score is smaller than a preset score, determining that the priority of the preprocessed video is non-urgent;
accordingly, the allocating system resources to the pre-processed video according to the priority of the pre-processed video comprises: if the priority of the preprocessed video is urgent, allocating all system resources to the preprocessed video to ensure that the preprocessed video with the urgent priority is processed preferentially; and if the priority of the pre-processing video is non-urgent, not allocating system resources to the pre-processing video to wait for the completion of the pre-processing video with the urgent priority.
7. The method of claim 1, wherein said allocating system resources to the pre-processed video according to the priority of the pre-processed video comprises:
determining a system resource threshold corresponding to the preprocessed video according to the priority of the preprocessed video;
and according to the system resource threshold value, allocating system resources to the preprocessed video so that the system resources corresponding to the preprocessed video do not exceed the system resource threshold value.
8. A video processing apparatus, characterized in that the apparatus comprises: the device comprises an acquisition module, a preprocessing module, a first determination module and a distribution module; wherein the content of the first and second substances,
the acquisition module is used for acquiring the video to be processed through an external interface in the transcoding system;
the preprocessing module is used for preprocessing the video to be processed according to video configuration information set based on user requirements to obtain a preprocessed video;
the first determining module is used for determining the priority of the preprocessed video according to the attribute information of the preprocessed video;
the distribution module is used for distributing system resources to the preprocessed video according to the priority of the preprocessed video so as to process the preprocessed video;
the distribution module includes: an adjusting unit and a third distributing unit; wherein the content of the first and second substances,
the adjusting unit is used for adjusting the determined priority of the pre-processing video according to the system resource occupation information, so that the priority of the pre-processing video becomes higher or lower;
the third allocation unit is used for allocating system resources to the preprocessed video according to the higher or lower priority, so that the allocated system resources become larger or smaller.
9. A video processing apparatus comprising a processor and a memory for storing a computer program capable of running on the processor; wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.
10. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method of any one of claims 1 to 7.
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