CN113784176B - Intelligent processing method and system for cloud video platform - Google Patents

Intelligent processing method and system for cloud video platform Download PDF

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Publication number
CN113784176B
CN113784176B CN202111336231.6A CN202111336231A CN113784176B CN 113784176 B CN113784176 B CN 113784176B CN 202111336231 A CN202111336231 A CN 202111336231A CN 113784176 B CN113784176 B CN 113784176B
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video
queue
conversion
converted
length
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CN113784176A (en
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田文科
钱钧
张经纬
戚厚洋
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Nanjing Future Networks Innovation Co ltd
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Nanjing Future Networks Innovation Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
    • H04N21/2343Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
    • H04N21/234309Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by transcoding between formats or standards, e.g. from MPEG-2 to MPEG-4 or from Quicktime to Realvideo
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/845Structuring of content, e.g. decomposing content into time segments
    • H04N21/8456Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments

Abstract

The application discloses a cloud video platform intelligent processing method and a system, wherein the method comprises the following steps: acquiring the length of a first video uploaded by a user, and adding N +1 time marks to the first video when the length of the first video exceeds a preset time length; sequentially extracting each part of videos in sequence according to the time marks for conversion; when each part of videos is converted, acquiring videos to be converted in a queue, wherein the queue is a first-in first-out queue; when the conversion of the part of videos is finished, extracting a second video with the duration being less than the preset duration from the queue for conversion; and after the second video is converted, converting the next part of video to be converted in the first video. The method and the device solve the problem that long video conversion occupies a video conversion server for a long time in the prior art, so that the length of queued videos is considered in the conversion process, and the queued short videos can be converted preferentially.

Description

Intelligent processing method and system for cloud video platform
Technical Field
The application relates to the field of video processing, in particular to an intelligent processing method and system for a cloud video platform.
Background
At present, video platforms are developed more and more rapidly, for a cloud video platform, a large number of users upload videos, and the formats of the videos uploaded by the users are various, so that the cloud video platform needs to convert the videos into a unified format.
For videos with short duration, the conversion speed is high, and for videos with long duration, the conversion time is long, which can lead to that a server for video conversion is used for converting a long video, the video conversion server is always occupied, the video conversion server generally adopts an edge server for processing, namely, the edge server is closer to the uploading user, if the edge server is always occupied during video conversion, the video backlog uploaded by other users in the same area can be caused, and therefore the video conversion of other users is influenced. For a user uploading a longer screen, a longer transition time is desirable for the user, but for other users, if the uploaded video is shorter, a longer transition time is used, which may degrade the user's screen platform experience.
Aiming at the problem caused by long time of occupying a video conversion server in the prior art, no better solution is provided in the prior art.
Disclosure of Invention
The embodiment of the application provides an intelligent processing method and system for a cloud video platform, and aims to at least solve the problem in the prior art that long video conversion occupies a video conversion server for a long time.
According to one aspect of the application, an intelligent processing method for a cloud video platform is provided, and comprises the following steps: acquiring the length of a first video uploaded by a user, and adding N +1 time stamps to the first video when the length of the first video exceeds a preset time length, wherein the N +1 time stamps mark the first video into N parts, the time lengths from the first part to the (N-1) th part in the N parts are the preset time length, the time length of the (N) th part is the total time length of the first video minus the total time length of the (N-1) parts, and N is more than or equal to 2; sequentially extracting each part of videos in sequence according to the time marks for conversion; when each part of videos is converted, acquiring videos to be converted in a queue, wherein the queue is a first-in first-out queue; when the conversion of the part of videos is finished, extracting a second video with the duration being less than the preset duration from the queue for conversion; and after the second video is converted, converting the next part of video to be converted in the first video.
Further, the extracting the second video with the duration less than the predetermined duration in the queue for conversion includes: acquiring a video with the time length which is less than the preset time length and enters the queue at the earliest time according to the first-in first-out sequence in the queue as the second video; and converting the second video.
Further, the method comprises the step of directly converting the first video uploaded by the user under the condition that the time length of the first video is less than the preset time length.
Further, still include: the converted parts in the first video are sorted according to the time marks; and playing the converted parts according to the sorted sequence.
Further, playing the converted parts in the sorted order comprises: acquiring a storage address of each part under the condition that the plurality of parts are stored on different storage servers; and playing the converted parts according to the storage address of each part and the sequence of the sequencing.
According to another aspect of the present application, there is also provided a cloud video platform intelligent processing system, including: a first obtaining model, configured to obtain a length of a first video uploaded by a user, and add N +1 time stamps to the first video when the length of the first video exceeds a predetermined time length, where the N +1 time stamps mark the first video as N parts, time lengths from a first part to an N-1 th part of the N parts are the predetermined time length, the time length of the N part is a total time length of the first video minus a total time length of the N-1 parts, and N is greater than or equal to 2; the first conversion module is used for sequentially extracting each part of video in sequence according to the time marks for conversion; the second acquisition module is used for acquiring the video to be converted in a queue when each part of video is converted, wherein the queue is a first-in first-out queue; the extraction module is used for extracting a second video with the duration being less than the preset duration in the queue for conversion when the conversion of the part of videos is completed; and the second conversion module is used for converting the next part of video to be converted in the first video after the second video is converted.
Further, the extraction module is configured to: acquiring a video with the time length which is less than the preset time length and enters the queue at the earliest time according to the first-in first-out sequence in the queue as the second video; and converting the second video.
Further, the extraction module is further configured to: and under the condition that the first video uploaded by the user is less than the preset time, directly converting the first video.
Further, still include: and the playing module is used for sequencing the plurality of converted parts in the first video according to the time marks and playing the plurality of converted parts according to the sequenced sequence.
Further, the playing module is further configured to: acquiring a storage address of each part under the condition that the plurality of parts are stored on different storage servers; and playing the converted parts according to the storage address of each part and the sequence of the sequencing.
In the embodiment of the application, acquiring the length of a first video uploaded by a user, and adding N +1 time stamps to the first video when the length of the first video exceeds a predetermined time length, wherein the N +1 time stamps mark the first video as N parts, the time lengths from a first part to an N-1 part in the N parts are the predetermined time length, the time length of the N part is the total time length of the first video minus the total time length of the N-1 parts, and N is greater than equal to 2; sequentially extracting each part of videos in sequence according to the time marks for conversion; when each part of videos is converted, acquiring videos to be converted in a queue, wherein the queue is a first-in first-out queue; when the conversion of the part of videos is finished, extracting a second video with the duration being less than the preset duration from the queue for conversion; and after the second video is converted, converting the next part of video to be converted in the first video. The method and the device solve the problem that long video conversion occupies a video conversion server for a long time in the prior art, so that the length of queued videos is considered in the conversion process, and the queued short videos can be converted preferentially.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a cloud video platform intelligent processing method according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, an intelligent cloud video platform processing method is provided, and fig. 1 is a flowchart of the intelligent cloud video platform processing method according to an embodiment of the present application, and as shown in fig. 1, the method includes:
step S102, acquiring the length of a first video uploaded by a user, and adding N +1 time stamps to the first video when the length of the first video exceeds a preset time length, wherein the N +1 time stamps mark the first video into N parts, the time lengths from the first part to the (N-1) th part in the N parts are the preset time length, the time length of the (N) th part is the total time length of the first video minus the total time length of the (N-1) parts, and N is more than or equal to 2;
optionally, the first video uploaded by the user is directly converted when the first video is less than the predetermined time.
Step S104, sequentially extracting each part of videos in sequence according to the time marks for conversion;
in an optional embodiment, the number of threads capable of being used for video conversion in a server for video conversion is obtained, and when the number of threads is M, M-1 threads are selected to be used for respectively converting each part of video in the video, where M is a natural number, each thread in the M-1 threads is used for respectively converting a part of video, and the remaining threads except the M-1 threads in the M threads are used for converting video in the queue.
Step S106, when each part of video is converted, the video to be converted in a queue is obtained, wherein the queue is a first-in first-out queue;
in another optional embodiment, after receiving a video uploaded by a user, determining whether the length of the video uploaded by the user is less than or equal to a predetermined time, and if the length of the video uploaded by the user is less than the predetermined time, placing the video into the queue (which may be referred to as a first queue); and if the length of the video uploaded by the user is greater than the preset time, putting the video into another queue (which can be called as a second queue) as a result, wherein the videos in the another queue are all videos with the video length greater than the preset time and waiting for conversion. The other queue is also a first-in-first-out queue.
Optionally, a third queue may be additionally provided, the priorities of the videos in the queue and the another queue are filtered, if the priorities of the videos in the queue and the another queue are greater than a predetermined priority, the videos are extracted from the current queue and placed in the third queue, the videos in the third queue are arranged according to the priority order, and the video conversion order in the third queue is better than the video conversion order in the queue and the another queue.
Optionally, the total length of the video to be converted in the third queue is obtained, if the total length of the video to be converted in the third queue is greater than a first threshold, one thread is selected from the M-1 threads to convert the video in the third queue, and the selected thread allocates the video that is not converted to the remaining M-2 threads to be converted.
As another optional implementation, if the total length of the video to be converted in the third queue is greater than a second threshold, where the second threshold is greater than the first threshold, adding a computing resource to a thread selected from the M-1 threads, where the computing resource includes at least one of: CPU occupancy rate and memory occupancy rate.
For example, the video which enters the queue earliest and has the duration less than the predetermined duration may be obtained as the second video in the order of first in first out in the queue; and converting the second video.
Step S108, when the conversion of the part of videos is completed, extracting a second video with the duration less than the preset duration from the queue for conversion;
step S110, after the second video is converted, converting a next part of video to be converted in the first video.
The method solves the problem caused by long time of occupying the video conversion server by the conversion of the long video in the prior art, thereby considering the length of the queued video in the conversion process and preferentially converting the queued short video.
After the above steps, the long video is split and then converted, and after the conversion, the converted long video can be obtained by splicing the converted videos. And playing the converted long video. In another alternative embodiment, the plurality of portions in the first video after conversion may be sorted according to the time stamp; and playing the converted parts according to the sorted sequence.
Further, playing the converted parts in the sorted order includes: acquiring a storage address of each part under the condition that the plurality of parts are stored on different storage servers; and playing the converted parts according to the storage address of each part and the sequence of the sequencing.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor configured to run the computer program to perform the method in the above embodiments.
The programs described above may be run on a processor or may also be stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules.
Such an apparatus or system is provided in this embodiment. The system is called as a cloud video platform intelligent processing system and comprises: a first obtaining model, configured to obtain a length of a first video uploaded by a user, and add N +1 time stamps to the first video when the length of the first video exceeds a predetermined time length, where the N +1 time stamps mark the first video as N parts, time lengths from a first part to an N-1 th part of the N parts are the predetermined time length, the time length of the N part is a total time length of the first video minus a total time length of the N-1 parts, and N is greater than or equal to 2; the first conversion module is used for sequentially extracting each part of video in sequence according to the time marks for conversion; the second acquisition module is used for acquiring the video to be converted in a queue when each part of video is converted, wherein the queue is a first-in first-out queue; the extraction module is used for extracting a second video with the duration being less than the preset duration in the queue for conversion when the conversion of the part of videos is completed; and the second conversion module is used for converting the next part of video to be converted in the first video after the second video is converted.
The system or the apparatus is used for implementing the functions of the method in the foregoing embodiments, and each module in the system or the apparatus corresponds to each step in the method, which has been described in the method and is not described herein again.
For example, the extraction module is configured to: acquiring a video with the time length which is less than the preset time length and enters the queue at the earliest time according to the first-in first-out sequence in the queue as the second video; and converting the second video. Optionally, the extracting module is further configured to directly convert the first video uploaded by the user when the first video is less than the predetermined time.
For another example, the method further includes: and the playing module is used for sequencing the plurality of converted parts in the first video according to the time marks and playing the plurality of converted parts according to the sequenced sequence. Optionally, the playing module is further configured to: acquiring a storage address of each part under the condition that the plurality of parts are stored on different storage servers; and playing the converted parts according to the storage address of each part and the sequence of the sequencing.
The problem caused by the fact that the video conversion server is occupied by long video conversion in the prior art for a long time is solved through the embodiment, and therefore the length of queued videos is considered in the conversion process, and the queued short videos can be converted preferentially.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. An intelligent processing method for a cloud video platform is characterized by comprising the following steps:
acquiring the length of a first video uploaded by a user, and adding N +1 time stamps to the first video when the length of the first video exceeds a preset time length, wherein the N +1 time stamps mark the first video into N parts, the time lengths from the first part to the (N-1) th part in the N parts are the preset time length, the time length of the (N) th part is the total time length of the first video minus the total time length of the (N-1) parts, and N is greater than equal to 2;
sequentially extracting each part of videos in sequence according to the time marks for conversion; acquiring the number of threads which can be used for video conversion in a server for video conversion, and under the condition that the number of the threads is M, selecting and using M-1 threads to respectively convert each part of video in the video, wherein M is a natural number, each thread in the M-1 threads is respectively used for converting a part of video, and the rest threads except the M-1 threads in the M threads are used for converting the video in a queue;
when each part of videos is converted, acquiring videos to be converted in a first queue, wherein the first queue is a first-in first-out queue; after receiving a video uploaded by a user, judging whether the length of the video uploaded by the user is less than or equal to a preset time length, if so, putting the video into the first queue; if the video length uploaded by the user is longer than the preset time, the video is put into a second queue, wherein the videos in the second queue are videos with the video length longer than the preset time and waiting for conversion, and the second queue is a first-in first-out queue;
when the conversion of the part of videos is finished, extracting a second video with the duration being less than the preset duration from the queue for conversion;
and after the second video is converted, converting the next part of video to be converted in the first video.
2. The method of claim 1, wherein extracting the second video in the queue for conversion having a duration less than the predetermined duration comprises:
acquiring a video with the time length which is less than the preset time length and enters the queue at the earliest time according to the first-in first-out sequence in the queue as the second video;
and converting the second video.
3. The method of claim 1, further comprising:
and under the condition that the first video uploaded by the user is less than the preset time, directly converting the first video.
4. The method of any of claims 1 to 3, further comprising:
sorting the converted parts in the first video according to the time marks;
and playing the converted parts according to the sorted sequence.
5. The method of claim 4, wherein playing the converted portions in the sorted order comprises:
acquiring a storage address of each part under the condition that the plurality of parts are stored on different storage servers;
and playing the converted parts according to the storage address of each part and the sequence of the sequencing.
6. The utility model provides a cloud video platform intelligence processing system which characterized in that includes:
a first obtaining model, configured to obtain a length of a first video uploaded by a user, and add N +1 time stamps to the first video when the length of the first video exceeds a predetermined time length, where the N +1 time stamps mark the first video as N parts, time lengths from a first part to an N-1 th part of the N parts are the predetermined time length, the time length of the N part is a total time length of the first video minus a total time length of the N-1 parts, and N is greater than equal to 2;
the first conversion module is used for sequentially extracting each part of video in sequence according to the time marks for conversion; acquiring the number of threads which can be used for video conversion in a server for video conversion, and under the condition that the number of the threads is M, selecting and using M-1 threads to respectively convert each part of video in the video, wherein M is a natural number, each thread in the M-1 threads is respectively used for converting a part of video, and the rest threads except the M-1 threads in the M threads are used for converting the video in a queue;
the second acquisition module is used for acquiring the video to be converted in the first queue when each part of video is converted, wherein the first queue is a first-in first-out queue; after receiving a video uploaded by a user, judging whether the length of the video uploaded by the user is less than or equal to a preset time length, if so, putting the video into the first queue; if the video length uploaded by the user is longer than the preset time, the video is put into a second queue, wherein the videos in the second queue are videos with the video length longer than the preset time and waiting for conversion, and the second queue is a first-in first-out queue;
the extraction module is used for extracting a second video with the duration being less than the preset duration in the queue for conversion when the conversion of the part of videos is completed;
and the second conversion module is used for converting the next part of video to be converted in the first video after the second video is converted.
7. The system of claim 6, wherein the extraction module is configured to:
acquiring a video with the time length which is less than the preset time length and enters the queue at the earliest time according to the first-in first-out sequence in the queue as the second video;
and converting the second video.
8. The system of claim 6, wherein the extraction module is further configured to:
and under the condition that the first video uploaded by the user is less than the preset time, directly converting the first video.
9. The system of any one of claims 6 to 8, further comprising:
and the playing module is used for sequencing the plurality of converted parts in the first video according to the time marks and playing the plurality of converted parts according to the sequencing order.
10. The system of claim 9, wherein the playback module is further configured to:
acquiring a storage address of each part under the condition that the plurality of parts are stored on different storage servers;
and playing the converted parts according to the storage address of each part and the sequence of the sequencing.
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