CN108965909B - Cold door video evaluation method and system - Google Patents
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- 238000011156 evaluation Methods 0.000 title claims abstract description 68
- 238000001816 cooling Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 11
- 230000032683 aging Effects 0.000 claims description 8
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- 238000012163 sequencing technique Methods 0.000 claims description 3
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/27—Server based end-user applications
- H04N21/274—Storing end-user multimedia data in response to end-user request, e.g. network recorder
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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
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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- H—ELECTRICITY
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- 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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
Abstract
The invention provides a cold video evaluation method and system. The cold video evaluation method comprises the following steps: recording the effective watching times of the precooled video in a set period; the pre-cooling video is a video with the number of times of on-demand playing in a set period smaller than a first set threshold; the effective watching is the watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold; calculating the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video; and evaluating whether the pre-cooled video is a cold video or not according to the effective watching times and the watching heat value of the pre-cooled video. The cold video evaluation method comprehensively considers the video on-demand times, the effective watching times and the watching heat value, so that the cold video evaluation method can objectively reflect the real cold degree of the video, the evaluation result of the cold video is more objective and accurate, the storage space in the node can be effectively allocated and utilized, and the pressure of the central node of the video content distribution network is reduced.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a cold video evaluation method and system.
Background
In order to ensure the fluency of the user in watching the video, a Content Delivery Network (CDN) can timely deliver a hotness video (i.e., a video with high watching hotness, such as a hotness movie) to an edge node close to the user, so that the edge node provides an on-demand service for the user. However, as the watching temperature of the video content decreases with the passage of time, the cold videos (i.e., videos with low watching temperature) need to be deleted and aged, and the node storage resources are recycled. In order to ensure that the real cold video content is deleted and aged, the evaluation link of the cold degree of the video is very important.
Currently, the degree of cold of a video is mainly evaluated based on the number of times a user requests, such as: presetting a threshold value of the video-on-demand times, and determining the video as the cold video when the video-on-demand times of the user are lower than the threshold value in a set period. Because only the factor of the number of on-demand times of the user is considered in the evaluation of the video cold degree, the actual cold degree of the video cannot be objectively reflected by the existing evaluation result of the video cold degree, the aged non-cold video can be deleted by the edge node, the storage resource can be recycled, the storage resource of the edge node cannot be effectively allocated, and the pressure of the central node can be increased.
Therefore, how to objectively and accurately evaluate the true cold degree of a video becomes a problem to be solved at present.
Disclosure of Invention
The invention provides a cold video evaluation method and system aiming at the technical problems in the prior art. The cold video evaluation method comprehensively considers the video on-demand times, the effective watching times and the watching heat value, so that the cold video evaluation method can more objectively reflect the real cold degree of the video, and further the evaluation result of the cold video is more objective and accurate.
The invention provides a cold video evaluation method, which comprises the following steps:
recording the effective watching times of the precooled video in a set period; the pre-cooling video is a video with the number of times of on-demand playing in the set period smaller than a first set threshold value; the effective watching is a watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold;
calculating the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video;
and evaluating whether the pre-cooled video is a cold video or not according to the effective watching times and the watching heat value of the pre-cooled video.
Preferably, the evaluating whether the pre-cooled video is a cold video according to the effective viewing times and the viewing heat value of the pre-cooled video includes:
step S120: judging whether the effective watching times of the pre-cooled video is smaller than the first set threshold value or not;
step S121: judging whether the observation heat value of the pre-cooled video is less than or equal to 0;
when the determination result of the step S120 is yes and the determination result of the step S121 is also yes, step S122 is executed: and determining the pre-cooled video as the cold door video.
Preferably, the calculation formula of the viewing heat value of the pre-cooled video is as follows:
wherein μ is the viewing heat value of the pre-cooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
Preferably, the method further comprises the following steps: judging whether the pre-cooled video is not evaluated as the cold door video in three continuous set periods; if yes, the pre-cooled video is converted into a common video, and whether the common video is the pre-cooled video is judged again.
Preferably, the method further comprises the following steps: and marking the cold videos, and sequencing the cold videos from small to large according to the effective watching times of the cold videos.
Preferably, the method further comprises the following steps: monitoring the storage occupancy rate of a node memory for storing the cold door video according to the set period;
judging whether the storage occupancy rate of the node memory is greater than or equal to a third set threshold value;
and if so, preferentially deleting the cold videos with the minimum effective watching times according to the sequence of the cold videos.
The invention also provides a cold video evaluation system, comprising:
the recording module is used for recording the effective watching times of the precooled video in a set period; the pre-cooling video is a video with the number of times of on-demand playing in the set period smaller than a first set threshold value; the effective watching is a watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold;
the calculating module is used for calculating the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video;
and the evaluation module is used for evaluating whether the pre-cooled video is a cold video or not according to the effective watching times and the watching heat value of the pre-cooled video.
Preferably, the evaluation module comprises:
a first judging unit, configured to judge whether the effective viewing frequency of the pre-cooled video is smaller than the first set threshold;
a second judging unit, configured to judge whether the viewing heat value of the pre-cooled video is less than or equal to 0;
and the determining unit is used for determining the pre-cooling video as the cold door video when the judgment results of the first judging unit and the second judging unit are both yes.
Preferably, the calculation formula of the viewing heat value of the pre-cooled video is as follows:
wherein μ is the viewing heat value of the pre-cooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
Preferably, the method further comprises the following steps: the first judging module is used for judging whether the pre-cooled video is not evaluated as the cold door video in three continuous set periods;
and the conversion judging module is used for converting the precooled video into a common video and judging whether the common video is the precooled video again when the judging result of the first judging module is yes.
Preferably, the method further comprises the following steps: and the marking and sorting module is used for marking the cold videos and sorting the cold videos from small to large according to the effective watching times.
Preferably, the method further comprises the following steps: the monitoring module is used for monitoring the storage occupancy rate of the node memory for storing the cold door video according to the set period;
the second judgment module is used for judging whether the storage occupancy rate of the node memory is greater than or equal to a third set threshold value;
and the aging module is used for preferentially deleting the cold videos with the minimum effective watching times according to the sequence of the cold videos when the judgment result of the second judgment module is yes.
The invention has the beneficial effects that: according to the cold video evaluation method provided by the invention, whether the pre-cooled video is the cold video is evaluated according to the effective watching times and the watching heat value of the pre-cooled video, compared with the existing method for evaluating the cold video only according to the video on-demand times, the cold video evaluation method comprehensively considers the video on-demand times, the effective watching times and the watching heat value, so that the cold video evaluation method can more objectively reflect the real cold degree of the video, the evaluation result of the cold video is more objective and accurate, and the storage space in the node can be effectively allocated and utilized by timely deleting and aging the cold video with the smaller effective watching times stored in the node, thereby reducing the pressure of the central node of a video content distribution network.
According to the cold door video evaluation system provided by the invention, the recording module, the calculation module and the evaluation module are arranged, so that the cold door video evaluation system comprehensively considers the video on-demand times, the effective watching times and the watching heat value of the cold door video, the real cold door degree of the video can be objectively reflected by the cold door video evaluation, the evaluation result of the cold door video is more objective and accurate, and the storage space in the node can be effectively allocated and utilized by timely deleting and aging the cold door video with smaller effective watching times stored in the node, so that the pressure of a central node of a video content distribution network is reduced.
Drawings
Fig. 1 is a flowchart of a cold door video evaluation method according to embodiment 1 of the present invention;
fig. 2 is a flowchart of a cold door video evaluation method according to embodiment 2 of the present invention;
fig. 3 is a schematic block diagram of a cold door video evaluation system in embodiment 3 of the present invention.
Wherein the reference numbers indicate:
1. a recording module; 2. a calculation module; 3. an evaluation module; 31. a first judgment unit; 32. a second judgment unit; 33. a determination unit; 4. a first judgment module; 5. a conversion judging module; 6. a tag ordering module; 7. a monitoring module; 8. a second judgment module; 9. and an aging module.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, a cold video evaluation method and system provided by the present invention are further described in detail below with reference to the accompanying drawings and the detailed description.
Example 1:
the present embodiment provides a cold video evaluation method, as shown in fig. 1, including:
step S10: and recording the effective watching times of the pre-cooled video in a set period. The pre-cooling video is a video with the number of times of on-demand playing in a set period smaller than a first set threshold value. The effective watching is the watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold.
The first set threshold and the second set threshold can be set arbitrarily according to specific situations.
Step S11: and calculating the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video.
In this step, the calculation formula of the viewing heat value of the pre-cooled video is as follows:
wherein mu is the observation heat value of the precooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
Step S12: and evaluating whether the pre-cooled video is a cold video or not according to the effective watching times and the watching heat value of the pre-cooled video.
According to the cold video evaluation method, whether the pre-cooled video is the cold video or not is evaluated according to the effective watching times and the watching heat value of the pre-cooled video, compared with the existing method for evaluating the cold video only according to the video on-demand times, the cold video evaluation method comprehensively considers the video on-demand times, the effective watching times and the watching heat value, so that the cold video evaluation method can reflect the real cold degree of the video more objectively, and further the evaluation result of the cold video is more objective and accurate.
Example 2:
the present embodiment provides a cold video evaluation method, as shown in fig. 2, including:
step S10: and recording the effective watching times of the pre-cooled video in a set period. The pre-cooling video is a video with the number of times of on-demand playing in a set period smaller than a first set threshold value. The effective watching is the watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold.
The first set threshold and the second set threshold can be set arbitrarily according to specific situations.
Step S11: and calculating the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video.
In this step, the calculation formula of the viewing heat value of the pre-cooled video is as follows:
wherein mu is the observation heat value of the precooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
Step S12: and evaluating whether the pre-cooled video is a cold video or not according to the effective watching times and the watching heat value of the pre-cooled video.
The method specifically comprises the following steps:
step S120: and judging whether the effective watching times of the pre-cooled video is less than a first set threshold value.
Step S121: and judging whether the watching heat value of the pre-cooled video is less than or equal to 0.
When the determination result of step S120 is yes and the determination result of step S121 is also yes, step S122 is performed: determining the precooling video as a cold door video; otherwise, the pre-cooled video is a non-cold video.
Through the steps S120 to S122, the on-demand frequency, the effective watching frequency and the watching heat value of the video are considered in the evaluation of the cold video, so that the evaluation result of the cold video is more objective and accurate.
In this embodiment, the cold video evaluation method further includes:
step S08: and judging whether the pre-cooled video is not evaluated as the cold video in three continuous set periods.
In this step, the evaluation steps of the cold video are the above-described steps S120 to S122.
If so, go to step S09: and converting the pre-cooling video into a common video, and judging whether the common video is the pre-cooling video again.
In the step, whether the normal video is the precooled video or not is determined by judging whether the number of times of the on-demand in the set period is smaller than a first set threshold value or not.
Step S08 and step S09 are executed before step S10. Through the steps of S08 to S09, after a period of time (for example, three set periods) elapses, the pre-cooled video that is not evaluated as the cold video can be evaluated again (i.e., whether the video is the pre-cooled video is confirmed again), and since the watching heat of the video changes with time, the above steps can make the evaluation result of the pre-cooled video more objective and accurate, thereby further making the evaluation result of the cold video more objective and accurate.
In this embodiment, the cold video evaluation method further includes: step S13: and marking the cold videos, and sequencing the cold videos from small to large according to the effective watching times of the cold videos.
Step S14: and monitoring the storage occupancy rate of the node memory for storing the cold door video according to a set period.
In this step, the storage occupancy rate ρ of the node memory is calculated as: ρ is (cold gate video content occupied storage value/node memory total storage value) × 100%.
Step S15: and judging whether the storage occupancy rate of the node memory is greater than or equal to a third set threshold value.
The third setting threshold value can be set arbitrarily according to specific situations.
If so, go to step S16: preferentially deleting the cold videos with the minimum effective watching times according to the sequence of the cold videos; otherwise, the cold videos stored in the nodes are not deleted.
Through the steps of 13 to S16, the cold videos stored in the nodes and having smaller effective watching times can be deleted and aged in time, so that the storage spaces in the nodes can be effectively allocated and utilized, and the pressure of the central node of the video content distribution network is reduced.
The beneficial effects of the embodiments 1-2 are as follows: in the cold video assessment method provided in embodiments 1-2, whether the pre-cooled video is a cold video is assessed according to the effective viewing times and the viewing heat values of the pre-cooled video, and compared with the existing method for assessing a cold video only according to the on-demand times of the video, the cold video assessment method in the present invention comprehensively considers the on-demand times, the effective viewing times, and the viewing heat values of the video, so that the cold video assessment method can more objectively reflect the true cold degree of the video, and further, the assessment result of the cold video is more objective and accurate, and by timely deleting and aging the cold video with a smaller effective viewing times stored in a node, the storage space in the node can be effectively allocated and utilized, thereby reducing the pressure of a central node of a video content distribution network.
Example 3:
based on the cold video evaluation method provided in embodiment 2, this embodiment provides a cold video evaluation system, as shown in fig. 3, including: and the recording module 1 is used for recording the effective watching times of the precooled video in a set period. The pre-cooling video is a video with the number of times of on-demand in a set period smaller than a first set threshold. The effective watching is the watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold. And the calculating module 2 is used for calculating the viewing heat value of the pre-cooling video according to the effective viewing times of the pre-cooling video. And the evaluation module 3 is used for evaluating whether the pre-cooled video is the cold video according to the effective watching times and the watching heat value of the pre-cooled video.
By arranging the calculation module 2 and the evaluation module 3, the evaluation of the cold video by the cold video evaluation system comprehensively considers the video on-demand times, the effective watching times and the watching heat value, so that the real cold degree of the video can be objectively reflected by the evaluation of the cold video, and the evaluation result of the cold video is more objective and accurate.
Wherein, the evaluation module 3 comprises: the first determining unit 31 is configured to determine whether the valid viewing times of the pre-cooled video is smaller than a first set threshold. The second determining unit 32 is configured to determine whether the viewing heat value of the pre-cooled video is less than or equal to 0. And the determining unit 33 is configured to determine that the pre-cooled video is the cold video when the determination results of the first determining unit 31 and the second determining unit 32 are both yes.
In this embodiment, the calculation formula of the viewing heat value of the pre-cooled video is as follows:
wherein mu is the observation heat value of the precooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
In this embodiment, the cold video evaluation system further includes: the first judging module 4 is configured to judge whether the pre-cooled video is not evaluated as a cold video in three consecutive setting periods. And the conversion judging module 5 is configured to, when the judgment result of the first judging module 4 is yes, convert the pre-cooled video into the normal video, and judge whether the normal video is the pre-cooled video again. The first judging module 4 and the conversion judging module 5 can perform precooled video evaluation again on precooled video which is not evaluated as cold video after a period of time (such as three set periods) (i.e. confirm whether the video is precooled video again), and because the watching heat of the video changes along with time, the module can enable the evaluation result of the precooled video to be more objective and accurate, thereby further enabling the evaluation result of the cold video to be more objective and accurate.
In this embodiment, the cold video evaluation system further includes: and the mark sorting module 6 is used for marking the cold videos and sorting the cold videos from small to large according to the effective watching times of the cold videos. And the monitoring module 7 is used for monitoring the storage occupancy rate of the node memory for storing the cold door video according to a set period. And the second judging module 8 is used for judging whether the storage occupancy rate of the node memory is greater than or equal to a third set threshold value. And the aging module 9 is configured to preferentially delete the cold videos with the smallest effective viewing times according to the ordering of the cold videos when the judgment result of the second judging module 8 is yes.
By arranging the mark sorting module 6, the monitoring module 7, the second judging module 8 and the aging module 9, the cold videos which are stored in the nodes and have small effective watching times can be deleted and aged in time, so that the storage space in the nodes can be allocated and utilized effectively, and the pressure of a central node of a video content distribution network is reduced.
Beneficial effects of example 3: the cold video evaluation system provided in embodiment 3, by setting the recording module, the calculating module, and the evaluating module, the cold video evaluation system comprehensively considers the number of video-on-demand times, the number of effective viewing times, and the viewing heat value for the evaluation of the cold video, so that the evaluation of the cold video can more objectively reflect the true cold degree of the video, and further the evaluation result of the cold video is more objective and accurate.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. A cold video assessment method, comprising:
recording the effective watching times of the precooled video in a set period; the pre-cooling video is a video with the number of times of on-demand playing in the set period smaller than a first set threshold value; the effective watching is a watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold;
calculating the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video in each set period;
evaluating whether the pre-cooled video is a cold video according to the effective watching times and the watching heat value of the pre-cooled video;
the evaluating whether the pre-cooled video is a cold video according to the effective watching times and the watching heat value of the pre-cooled video comprises:
step S120: judging whether the effective watching times of the pre-cooled video is smaller than a fourth set threshold value;
step S121: judging whether the observation heat value of the pre-cooled video is less than or equal to 0;
when the determination result of the step S120 is yes and the determination result of the step S121 is also yes, step S122 is executed: and determining the pre-cooled video as the cold door video.
2. A cold door video evaluation method according to claim 1, wherein said observation heat value of said pre-cooled video is calculated by the formula:
wherein μ is the viewing heat value of the pre-cooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
3. The cold video assessment method of claim 1, further comprising: judging whether the pre-cooled video is not evaluated as the cold door video in three continuous set periods; if yes, the pre-cooled video is converted into a common video, and whether the common video is the pre-cooled video is judged again.
4. The cold video assessment method of claim 1, further comprising: and marking the cold videos, and sequencing the cold videos from small to large according to the effective watching times of the cold videos.
5. The cold video assessment method of claim 4, further comprising: monitoring the storage occupancy rate of a node memory for storing the cold door video according to the set period;
judging whether the storage occupancy rate of the node memory is greater than or equal to a third set threshold value;
and if so, preferentially deleting the cold videos with the minimum effective watching times according to the sequence of the cold videos.
6. A cold video assessment system, comprising:
the recording module is used for recording the effective watching times of the precooled video in a set period; the pre-cooling video is a video with the number of times of on-demand playing in the set period smaller than a first set threshold value; the effective watching is a watching behavior that the duration of continuously watching the precooled video is greater than a second set threshold;
the computing module is used for computing the viewing heat value of the pre-cooled video according to the effective viewing times of the pre-cooled video in each set period;
the evaluation module is used for evaluating whether the pre-cooled video is a cold video or not according to the effective watching times and the watching heat value of the pre-cooled video;
the evaluation module comprises:
the first judging unit is used for judging whether the effective watching times of the pre-cooled video is smaller than a fourth set threshold value or not;
a second judging unit, configured to judge whether the viewing heat value of the pre-cooled video is less than or equal to 0;
and the determining unit is used for determining the pre-cooling video as the cold door video when the judgment results of the first judging unit and the second judging unit are both yes.
7. The system for cold video assessment according to claim 6, wherein said observation heat value of said pre-cooled video is calculated by the formula:
wherein μ is the viewing heat value of the pre-cooled video; i is the serial number of the set period; ni is the effective watching times of the pre-cooled video in the ith set period; n [ i-1] is the effective watching times of the pre-cooled video in the set period of i-1.
8. A cold video assessment system according to claim 6, further comprising: the first judging module is used for judging whether the pre-cooled video is not evaluated as the cold door video in three continuous set periods;
and the conversion judging module is used for converting the precooled video into a common video and judging whether the common video is the precooled video again when the judging result of the first judging module is yes.
9. A cold video assessment system according to claim 6, further comprising: and the marking and sorting module is used for marking the cold videos and sorting the cold videos from small to large according to the effective watching times.
10. A cold video assessment system according to claim 9, further comprising: the monitoring module is used for monitoring the storage occupancy rate of the node memory for storing the cold door video according to the set period;
the second judgment module is used for judging whether the storage occupancy rate of the node memory is greater than or equal to a third set threshold value;
and the aging module is used for preferentially deleting the cold videos with the minimum effective watching times according to the sequence of the cold videos when the judgment result of the second judgment module is yes.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810863650.7A CN108965909B (en) | 2018-08-01 | 2018-08-01 | Cold door video evaluation method and system |
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