CN109379541A - The method for carrying out effect enhancing according to video content popularity degree - Google Patents
The method for carrying out effect enhancing according to video content popularity degree Download PDFInfo
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- CN109379541A CN109379541A CN201811222038.8A CN201811222038A CN109379541A CN 109379541 A CN109379541 A CN 109379541A CN 201811222038 A CN201811222038 A CN 201811222038A CN 109379541 A CN109379541 A CN 109379541A
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- video content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
Abstract
The method for carrying out effect enhancing according to video content popularity degree, comprising: step 1: each Edge Server record counts the number that each video content is distributed within the unit time to the distributed recorder of video content；The number of each video content being distributed periodically is carried out the whole network broadcast to other Edge Servers by each Edge Server；Each Edge Server is according to the number being distributed of the video content of local record, and the number of the video content received from other fringe nodes being distributed calculates each video content in local popularity, popularity ranking list is obtained according to popularity, the number of the video content preferably locally recorded being distributed has higher weight, such as 2 times of weights than the number of the video content received from other fringe nodes being distributed.
Description
Technical field
The present invention relates to the data processing fields of cloud computing platform.
Existing cloud computing platform is general lack of the targeted design for being directed to multimedia service, thus directly in these platforms
Many problems are faced with when middle deployment multimedia service.Be primarily present following problems: (1) most of cloud computing products lack to more
The considerations of special hardware platform needed for media business is supported;(2) real-time of multimedia service and the sensitivity to service quality
Requirements at the higher level are proposed to network characteristic;(3) heterogeneous terminals oneself gradually become the important carrier of multimedia service client.
Our team finds that the data traffic on current mobile service 87% belongs to more matchmakers of video class by research
Body.Current mainstream cloud computing platform is provided to general cloud calculation service and establishes, and what their resource was dominant is CPU energy
Power and storage capacity.But video class multimedia is but difficult to meet.Video class business needs more GPU resources.
Solve the problems, such as be: how for mobile terminal to provide higher-quality video class cloud computing service.
Summary of the invention
The method for carrying out effect enhancing according to video content popularity degree, comprising:
Step 1: each Edge Server record counts each video content in the unit time to the distributed recorder of video content
The number being inside distributed；Each Edge Server is periodically by the number of each video content being distributed to other Edge Servers
Carry out the whole network broadcast；Each Edge Server is according to the number being distributed of the video content of local record, and from other sides
The number of the video content that edge node receives being distributed calculates each video content in local popularity, according to prevalence
Degree obtains popularity ranking list, and the number ratio being distributed of the video content preferably locally recorded is from other edge sections
The number of the video content that point receives being distributed has higher weight, such as 2 times of weights；
Step 2: when mobile terminal requests video content to cloud service platform, central server requests video to source station server
Content, and suitable Edge Server is determined according to the physical location of mobile terminal, by the first one's share of expenses for a joint undertaking in the video content
Content is sent to Edge Server, is transferred to mobile terminal by Edge Server；
Step 3: whether central server, which is inquired region near the Edge Server and had, is capable of providing video source modeling server
Base station, if it is not, step 4 is executed, if so, thening follow the steps 5；
Step 4: subsequent video content being handled by Edge Server, and terminates process；
Step 5: the number of videos M that can enhance simultaneously is determined according to the ability of video source modeling server, if necessary to enhance
Number of videos be not above the number of videos M that can enhance simultaneously, then follow the steps 6, otherwise further check current video
Popularity can in the preceding M in the popularity ranking list of local video enhancing server, if it is thening follow the steps 6,
It is no to then follow the steps 4；
Step 6: video source modeling server obtains the termination property of mobile terminal from core net and is regarded from central server
Frequency content, then according to termination property is obtained, using the GPU resource disposed on video source modeling server to acquisition video
Content carries out graphics process, and the better video content of effect is presented to obtain；
Step 7: by treated, video content is supplied to mobile terminal to present to video source modeling server.
The method for carrying out effect enhancing according to video content popularity degree, comprising:
Step 1: each Edge Server record counts each video content in the unit time to the distributed recorder of video content
The number being inside distributed；Each Edge Server is periodically by the number of each video content being distributed to other Edge Servers
Carry out the whole network broadcast；Each Edge Server is according to the number being distributed of the video content of local record, and from other sides
The number of the video content that edge node receives being distributed calculates each video content in local popularity, according to prevalence
Degree obtains popularity ranking list, the number of the video content preferably locally recorded being distributed and from other edge sections
The average value for the number of the video content that point receives being distributed, weight having the same；
Step 2: when mobile terminal requests video content to cloud service platform, central server requests video to source station server
Content, and suitable Edge Server is determined according to the physical location of mobile terminal, by the first one's share of expenses for a joint undertaking in the video content
Content is sent to Edge Server, is transferred to mobile terminal by Edge Server；
Step 3: whether central server, which is inquired region near the Edge Server and had, is capable of providing video source modeling server
Base station, if it is not, step 4 is executed, if so, thening follow the steps 5；
Step 4: subsequent video content being handled by Edge Server, and terminates process.
Step 5: the number of videos M that can enhance simultaneously is determined according to the ability of video source modeling server, if necessary
The number of videos of enhancing is not above the number of videos M that can enhance simultaneously, thens follow the steps 6, otherwise further checks current
In preceding M of the popularity ranking list that can the popularity of video enhance server in local video, step is if it is executed
Rapid 6, it is no to then follow the steps 4；
Step 6: video source modeling server obtains the termination property of mobile terminal from core net and is regarded from central server
Frequency content, then according to termination property is obtained, using the GPU resource disposed on video source modeling server to acquisition video
Content carries out graphics process, and the better video content of effect is presented to obtain；
Step 7: by treated, video content is supplied to mobile terminal to present to video source modeling server.
1) in conjunction with the resource of the ability of the existing traditional cloud computing platform video source modeling server newly-increased with mobile service,
Higher-quality service is provided for video class cloud computing demand.
2) due to the participation of mobile service, to the understanding of mobile terminal deeper into can solve terminal heterogeneous ask
Topic.
3) present invention employs the newly-increased servers of traditional cloud computing platform and mobile service to provide the mode of business jointly,
Mobile service can be allowed gradually to arrange resource, arrange that the area of resource is nor affecting on business just not yet in mobile service
Normal progress.
4) video popularity feature is considered, so that limited server resource, which is applicable to, processed should most provide
On source.
This case proposes the new framework of one kind of cloud computing platform, increases the video source modeling server provided by mobile service
This node, the node can carry out further optimization processing to video content, improve cloud computing platform in processing video
Ability in content.
Specific embodiment
Embodiment 1
This research team passes through a large amount of arduous researchs, it was found that the characteristic for the video class data propagated on cloud computing platform,
And the characteristic of cloud computing platform.
Video class feature:
1) video category information, including program request, live streaming and game in video.Meet very much popular feature, i.e., in a short time
It will form a large amount of propagation.
2) popular often poorly to estimate, it has not been convenient to carry out prior preparatory disposition.
3) popular that there is region characteristic, there is very big difference in different physical regions.Popular content is popular
Degree, popular starting time are all different.
The present invention is applied to new cloud computing platform, which includes mutually independent more traditional cloud computing platforms, often
A cloud computing platform still undertakes existing role, provides the distribution of resource.New cloud computing platform increases one or more
Video source modeling server, each video source modeling server connect with the Edge Server of all conventional clouds, take instead of edge
Business device provides the data transmission of last one kilometer to mobile terminal.Preferably, which is provided by telecom operators,
Physically with base station (or network components of similar base station) combined layout.The main hardware resource for including is small portion
The storage content and cpu resource divided and a large amount of GPU resource.
Fig. 1 is the structure chart of cloud computing platform according to an embodiment of the present invention.
Embodiment 1
Since the processing capacity of video source modeling server is limited, and the propagation of video content have randomness, if not by
The computing capability using video source modeling server of limitation is then easy to meeting so that video source modeling server becomes whole system
Bottleneck will affect whole effect instead.
Then, we are by a large amount of the study found that most popular video content is most worth progress effect enhancing.
The method for carrying out effect enhancing according to video content popularity degree, comprising:
Step 1: each Edge Server record counts each video content in the unit time to the distributed recorder of video content
The number being inside distributed；Each Edge Server is periodically by the number of each video content being distributed to other Edge Servers
Carry out the whole network broadcast；Each Edge Server is according to the number being distributed of the video content of local record, and from other sides
The number of the video content that edge node receives being distributed calculates each video content in local popularity, according to prevalence
Degree obtains popularity ranking list, and the number ratio being distributed of the video content preferably locally recorded is from other edge sections
The number of the video content that point receives being distributed has higher weight, such as 2 times of weights.
Step 2: when mobile terminal requests video content to cloud service platform, central server is requested to source station server
Video content, and suitable Edge Server is determined according to the physical location of mobile terminal, by first in the video content
One's share of expenses for a joint undertaking content is sent to Edge Server, is transferred to mobile terminal by Edge Server.The similar traditional cloud platform of the step
Process flow.First step of the invention has also continued to use such process.There are two the purposes done so, first, if should
The video source modeling server not being able to use near Edge Server can be used, and can also distribute according to the traditional method
Video content is unlikely to be unable to complete service；Second, the considerations of being in response speed, the first one's share of expenses for a joint undertaking content of video with greater need for
Consider to reduce delay, the quality for video is secondary factor instead.
Step 3: central server inquires whether region near the Edge Server is capable of providing video source modeling service
The base station of device, if it is not, step 4 is executed, if so, thening follow the steps 5.
Step 4: subsequent video content being handled by Edge Server, and terminates process.
Step 5: the number of videos M that can enhance simultaneously is determined according to the ability of video source modeling server, if necessary
The number of videos of enhancing is not above the number of videos M that can enhance simultaneously, thens follow the steps 6, otherwise further checks current
In preceding M of the popularity ranking list that can the popularity of video enhance server in local video, step is if it is executed
Rapid 6, it is no to then follow the steps 4；
Step 6: video source modeling server obtains the termination property of mobile terminal from core net and is regarded from central server
Frequency content, then according to termination property is obtained, using the GPU resource disposed on video source modeling server to acquisition video
Content carries out graphics process, and the better video content of effect is presented to obtain.Due to being at the figure carried out for termination property
Reason, so not only effect is more preferable for treated data, but also more preferable with the matching degree of mobile terminal.
Step 7: by treated, video content is supplied to mobile terminal to present to video source modeling server.
Embodiment 2
Since the processing capacity of video source modeling server is limited, and the propagation of video content have randomness, if not by
The computing capability using video source modeling server of limitation is then easy to meeting so that video source modeling server becomes whole system
Bottleneck will affect whole effect instead.
Then, we are by a large amount of the study found that most popular video content is most worth progress effect enhancing.
The method for carrying out effect enhancing according to video content popularity degree, comprising:
Step 1: each Edge Server record counts each video content in the unit time to the distributed recorder of video content
The number being inside distributed；Each Edge Server is periodically by the number of each video content being distributed to other Edge Servers
Carry out the whole network broadcast；Each Edge Server is according to the number being distributed of the video content of local record, and from other sides
The number of the video content that edge node receives being distributed calculates each video content in local popularity, according to prevalence
Degree obtains popularity ranking list, the number of the video content preferably locally recorded being distributed and from other edge sections
The average value for the number of the video content that point receives being distributed, weight having the same.
Step 2: when mobile terminal requests video content to cloud service platform, central server is requested to source station server
Video content, and suitable Edge Server is determined according to the physical location of mobile terminal, by first in the video content
One's share of expenses for a joint undertaking content is sent to Edge Server, is transferred to mobile terminal by Edge Server.The similar traditional cloud platform of the step
Process flow.First step of the invention has also continued to use such process.There are two the purposes done so, first, if should
The video source modeling server not being able to use near Edge Server can be used, and can also distribute according to the traditional method
Video content is unlikely to be unable to complete service；Second, the considerations of being in response speed, the first one's share of expenses for a joint undertaking content of video with greater need for
Consider to reduce delay, the quality for video is secondary factor instead.
Step 3: central server inquires whether region near the Edge Server is capable of providing video source modeling service
The base station of device, if it is not, step 4 is executed, if so, thening follow the steps 5.
Step 4: subsequent video content being handled by Edge Server, and terminates process.
Step 5: the number of videos M that can enhance simultaneously is determined according to the ability of video source modeling server, if necessary
The number of videos of enhancing is not above the number of videos M that can enhance simultaneously, thens follow the steps 6, otherwise further checks current
In preceding M of the popularity ranking list that can the popularity of video enhance server in local video, step is if it is executed
Rapid 6, it is no to then follow the steps 4；
Step 6: video source modeling server obtains the termination property of mobile terminal from core net and is regarded from central server
Frequency content, then according to termination property is obtained, using the GPU resource disposed on video source modeling server to acquisition video
Content carries out graphics process, and the better video content of effect is presented to obtain.Due to being at the figure carried out for termination property
Reason, so not only effect is more preferable for treated data, but also more preferable with the matching degree of mobile terminal.
Step 7: by treated, video content is supplied to mobile terminal to present to video source modeling server.
Claims (4)
1. the method for carrying out effect enhancing according to video content popularity degree, comprising:
Step 1: each Edge Server record counts each video content in the unit time to the distributed recorder of video content
The number being inside distributed；Each Edge Server is periodically by the number of each video content being distributed to other Edge Servers
Carry out the whole network broadcast；Each Edge Server is according to the number being distributed of the video content of local record, and from other sides
The number of the video content that edge node receives being distributed calculates each video content in local popularity, according to prevalence
Degree obtains popularity ranking list, and the number ratio being distributed of the video content preferably locally recorded is from other edge sections
The number of the video content that point receives being distributed has higher weight, such as 2 times of weights；
Step 2: when mobile terminal requests video content to cloud service platform, central server requests video to source station server
Content, and suitable Edge Server is determined according to the physical location of mobile terminal, by the first one's share of expenses for a joint undertaking in the video content
Content is sent to Edge Server, is transferred to mobile terminal by Edge Server；
Step 3: whether central server, which is inquired region near the Edge Server and had, is capable of providing video source modeling server
Base station, if it is not, step 4 is executed, if so, thening follow the steps 5；
Step 4: subsequent video content being handled by Edge Server, and terminates process；
Step 5: the number of videos M that can enhance simultaneously is determined according to the ability of video source modeling server, if necessary to enhance
Number of videos be not above the number of videos M that can enhance simultaneously, then follow the steps 6, otherwise further check current video
Popularity can in the preceding M in the popularity ranking list of local video enhancing server, if it is thening follow the steps 6,
It is no to then follow the steps 4；
Step 6: video source modeling server obtains the termination property of mobile terminal from core net and is regarded from central server
Frequency content, then according to termination property is obtained, using the GPU resource disposed on video source modeling server to acquisition video
Content carries out graphics process, and the better video content of effect is presented to obtain；
Step 7: by treated, video content is supplied to mobile terminal to present to video source modeling server.
2. the method for carrying out effect enhancing according to video content popularity degree, comprising:
Step 1: each Edge Server record counts each video content in the unit time to the distributed recorder of video content
The number being inside distributed；Each Edge Server is periodically by the number of each video content being distributed to other Edge Servers
Carry out the whole network broadcast；Each Edge Server is according to the number being distributed of the video content of local record, and from other sides
The number of the video content that edge node receives being distributed calculates each video content in local popularity, according to prevalence
Degree obtains popularity ranking list, the number of the video content preferably locally recorded being distributed and from other edge sections
The average value for the number of the video content that point receives being distributed, weight having the same；
Step 2: when mobile terminal requests video content to cloud service platform, central server requests video to source station server
Content, and suitable Edge Server is determined according to the physical location of mobile terminal, by the first one's share of expenses for a joint undertaking in the video content
Content is sent to Edge Server, is transferred to mobile terminal by Edge Server；
Step 3: whether central server, which is inquired region near the Edge Server and had, is capable of providing video source modeling server
Base station, if it is not, step 4 is executed, if so, thening follow the steps 5；
Step 4: subsequent video content being handled by Edge Server, and terminates process；
Step 5: the number of videos M that can enhance simultaneously is determined according to the ability of video source modeling server, if necessary to enhance
Number of videos be not above the number of videos M that can enhance simultaneously, then follow the steps 6, otherwise further check current video
Popularity can in the preceding M in the popularity ranking list of local video enhancing server, if it is thening follow the steps 6,
It is no to then follow the steps 4；
Step 6: video source modeling server obtains the termination property of mobile terminal from core net and is regarded from central server
Frequency content, then according to termination property is obtained, using the GPU resource disposed on video source modeling server to acquisition video
Content carries out graphics process, and the better video content of effect is presented to obtain；
Step 7: by treated, video content is supplied to mobile terminal to present to video source modeling server.
3. a kind of computer program, for executing any one method in method 1-2.
4. the system for carrying out effect enhancing according to video content popularity degree, comprising: central processing unit, memory, the storage
It include computer program, the computer program, for executing any one method in method 1-2 on device.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112333456A (en) * | 2020-10-21 | 2021-02-05 | 鹏城实验室 | Live video transmission method based on cloud edge protocol |
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| CN101635635A (en) * | 2009-08-25 | 2010-01-27 | 北京原力创新科技有限公司 | Cloud mode streaming media service platform |
| CN106797485A (en) * | 2014-10-02 | 2017-05-31 | 恩特里克丝有限公司 | High in the clouds stream media service system, high in the clouds stream media service method and its device using optimal GPU |
| CN107274431A (en) * | 2017-03-07 | 2017-10-20 | 阿里巴巴集团控股有限公司 | video content enhancement method and device |
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2018
- 2018-10-19 CN CN201811222038.8A patent/CN109379541A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101635635A (en) * | 2009-08-25 | 2010-01-27 | 北京原力创新科技有限公司 | Cloud mode streaming media service platform |
| CN106797485A (en) * | 2014-10-02 | 2017-05-31 | 恩特里克丝有限公司 | High in the clouds stream media service system, high in the clouds stream media service method and its device using optimal GPU |
| CN107274431A (en) * | 2017-03-07 | 2017-10-20 | 阿里巴巴集团控股有限公司 | video content enhancement method and device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112333456A (en) * | 2020-10-21 | 2021-02-05 | 鹏城实验室 | Live video transmission method based on cloud edge protocol |
| CN112333456B (en) * | 2020-10-21 | 2022-05-10 | 鹏城实验室 | Live video transmission method based on cloud edge protocol |
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Application publication date: 20190222 |