CN108966014A - A kind of temperature video evaluations method and system - Google Patents
A kind of temperature video evaluations method and system Download PDFInfo
- Publication number
- CN108966014A CN108966014A CN201810864921.0A CN201810864921A CN108966014A CN 108966014 A CN108966014 A CN 108966014A CN 201810864921 A CN201810864921 A CN 201810864921A CN 108966014 A CN108966014 A CN 108966014A
- Authority
- CN
- China
- Prior art keywords
- video
- preheating
- temperature
- effective
- viewing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- H04N21/45—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
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The present invention provides a kind of temperature video evaluations method and system.The temperature video evaluations method includes: effective watched time of the record preheating video within the setting period;Preheating video is the video that video-on-demand times are greater than the first given threshold within the setting period;Effectively viewing is that the duration of continuous viewing preheating video is greater than the watching behavior of the second given threshold;The viewing hot value of preheating video is calculated according to effective watched time of preheating video;It whether is temperature video according to effective watched time of preheating video and viewing hot value assessment preheating video.The temperature video evaluations method, video-on-demand times, effective watched time and the viewing hot value of video are comprehensively considered, to enable the true temperature of the temperature video evaluations method more objectively reflecting video, and then keep the assessment result of temperature video more objective and accurate, by the temperature video distribution to fringe node, the storage resource of fringe node will not be not only wasted, the pressure of content distributing network central node is also reduced.
Description
Technical field
The present invention relates to fields of communication technology, and in particular, to a kind of temperature video evaluations method and system.
Background technique
In order to guarantee user watch video fluency, content distributing network (Content Delivery Network,
CDN) temperature video (such as temperature film) is distributed to can in time from fringe node in the closer fringe node of user, is allowed is user
Order program service is provided.In order to which by real temperature video distribution, into fringe node, the temperature assessment component of video is most important.
Currently, the temperature of video is mainly that foundation is assessed with user's video-on-demand times, such as: presetting a video
The video, when user's video-on-demand times are more than the threshold value, is determined as temperature view within the period of setting by the threshold value of video-on-demand times
Frequently.Due to only considering the factor of user's video-on-demand times in the assessment of video temperature, so existing video temperature assessment result
The true temperature of the video cannot be objectively responded, this will lead to non-temperature video distribution to fringe node, not only waste edge section
The storage resource of point, and will increase the pressure of central node, the fluency that user watches video also cannot be guaranteed.
Therefore, the true temperature for how objectively and accurately assessing video has become current urgent problem to be solved.
Summary of the invention
The present invention is directed to the above-mentioned technical problems in the prior art, provides a kind of temperature video evaluations method and is
System.The temperature video evaluations method has comprehensively considered video-on-demand times, effective watched time and the viewing hot value of video, thus
Enable the true temperature of the temperature video evaluations method more objectively reflecting video, and then makes the assessment result of temperature video
It is more objective and accurate.
The present invention provides a kind of temperature video evaluations method, comprising:
Effective watched time of the record preheating video within the setting period;The preheating video is within the setting period
Video-on-demand times are greater than the video of the first given threshold;Effective viewing is greater than the continuously to watch the duration of the preheating video
The watching behavior of two given thresholds;
The viewing hot value of the preheating video is calculated according to effective watched time of the preheating video;
Assessing the preheating video according to effective watched time of the preheating video and the viewing hot value is
No is temperature video.
Preferably, described according to effective watched time of the preheating video and viewing hot value assessment
Preheat whether video is that temperature video includes:
Step S120: judge whether effective watched time of the preheating video is greater than first given threshold;
Step S121: judge whether the viewing hot value of the preheating video is greater than 0;
When the judging result of the step S120 is to be and when the judging result of the step S121 is also to be, step is executed
S122: determine that the preheating video is the temperature video.
Preferably, the calculation formula of the viewing hot value of the preheating video are as follows:
Wherein, μ is the viewing hot value of the preheating video;I is the serial number in the setting period;Ni is described pre-
The effective watched time of the thermovision frequency within the i-th setting period;N [i-1] is that the preheating video is set described in (i-1)-th
Effective watched time in fixed cycle.
Preferably, further includes: judge whether the preheating video is not assessed within the continuous three setting periods
For the temperature video;If it is, the preheating video is switched to ordinary video, and whether rejudge the ordinary video
For the preheating video.
Preferably, further includes: the temperature video is marked, and the temperature video is sent to video distribution net
Network.
The present invention also provides a kind of temperature video evaluations systems, comprising:
Logging modle, for recording effective watched time of the preheating video within the setting period;The preheating video be
Video-on-demand times are greater than the video of the first given threshold in the setting period;Effective viewing is continuously to watch the pre- thermovision
The duration of frequency is greater than the watching behavior of the second given threshold;
Computing module, for calculating the viewing of the preheating video according to effective watched time of the preheating video
Hot value;
Evaluation module, for assessing institute according to the effective watched time and the viewing hot value of the preheating video
State whether preheating video is temperature video.
Preferably, the evaluation module includes:
First judging unit is set for judging whether effective watched time of the preheating video is greater than described first
Determine threshold value;
Second judgment unit, for judging whether the viewing hot value of the preheating video is greater than 0;
Determination unit, for when the judging result of first judging unit and the second judgment unit is to be,
Determine that the preheating video is the temperature video.
Preferably, the calculation formula of the viewing hot value of the preheating video are as follows:
Wherein, μ is the viewing hot value of the preheating video;I is the serial number in the setting period;Ni is described pre-
The effective watched time of the thermovision frequency within the i-th setting period;N [i-1] is that the preheating video is set described in (i-1)-th
Effective watched time in fixed cycle.
Preferably, further includes: judgment module, for judging the preheating video whether the continuous three setting weeks
It is not evaluated as the temperature video in phase;
Judgment module is converted, for when the judgment result of the judgment module is yes, the preheating video being switched to general
Intervisibility frequency, and rejudge whether the ordinary video is the preheating video.
Preferably, further includes: label sending module for the temperature video to be marked, and the temperature is regarded
It takes place frequently and gives Video Distribution Network.
Beneficial effects of the present invention: temperature video evaluations method provided by the present invention passes through having according to preheating video
Whether to preheating video be temperature video assess, compared to existing according only to video if imitating watched time and viewing hot value
Video-on-demand times assessment temperature video method, the temperature video evaluations method in the present invention comprehensively considered the program request time of video
Several, effective watched time and viewing hot value, to enable the temperature video evaluations method more objectively reflecting video
True temperature, and then keep the assessment result of temperature video more objective and accurate, by temperature video distribution to video content point
The fringe node of hairnet network (CDN) will not only waste the storage resource of fringe node, while also reduce in content distributing network
The pressure of heart node, to ensure that user watches the fluency of video.
Temperature video evaluations system provided by the present invention is made by setting logging modle, computing module and evaluation module
The temperature video evaluations system has comprehensively considered video-on-demand times, effective watched time and the viewing of video to the assessment of temperature video
Hot value so that the assessment of temperature video be made to be capable of the true temperature of more objectively reflecting video, and then makes temperature video
Assessment result is more objective and accurate, by the fringe node of the temperature video distribution to video content distribution network (CDN), not only
The storage resource of fringe node will not be wasted, while also reducing the pressure of content distributing network central node, to ensure that use
The fluency of family viewing video.
Detailed description of the invention
Fig. 1 is the flow chart of temperature video evaluations method in the embodiment of the present invention 1;
Fig. 2 is the flow chart of temperature video evaluations method in the embodiment of the present invention 2;
Fig. 3 is the functional block diagram of temperature video evaluations system in the embodiment of the present invention 3.
Description of symbols therein:
1. logging modle;2. computing module;3. evaluation module;31. the first judging unit;32. second judgment unit;33.
Determination unit;4. judgment module;5. converting judgment module;6. marking sending module.
Specific embodiment
To make those skilled in the art more fully understand technical solution of the present invention, with reference to the accompanying drawing and it is embodied
Mode is described in further detail a kind of temperature video evaluations method and system provided by the present invention.
Embodiment 1:
The present embodiment provides a kind of temperature video evaluations methods, as shown in Figure 1, comprising:
Step S10: effective watched time of the record preheating video within the setting period.Wherein, preheating video is to set
Video-on-demand times are greater than the video of the first given threshold in period.Effectively viewing is greater than second for the duration of continuous viewing preheating video
The watching behavior of given threshold.
Wherein, the first given threshold and the second given threshold can arbitrarily be set according to concrete condition.
Step S11: the viewing hot value of preheating video is calculated according to effective watched time of preheating video.
In the step, the calculation formula of the viewing hot value of video is preheated are as follows:
Wherein, μ is the viewing hot value for preheating video;I is the serial number for setting the period;Ni is preheating video in the i-th setting
Effective watched time in period;N [i-1] is the effective watched time for preheating video within the (i-1)-th setting period.
Whether step S12: being temperature according to effective watched time of preheating video and viewing hot value assessment preheating video
Video.
The temperature video evaluations method, by the effective watched time and viewing hot value according to preheating video to pre- thermovision
Whether frequency is that temperature video is assessed, compared to the method for the existing video-on-demand times assessment temperature video according only to video,
Temperature video evaluations method in the present invention has comprehensively considered video-on-demand times, effective watched time and the viewing hot value of video,
To enable the true temperature of the temperature video evaluations method more objectively reflecting video, and then make the assessment of temperature video
As a result more objective and accurate.
Embodiment 2:
The present embodiment provides a kind of temperature video evaluations methods, as shown in Figure 2, comprising:
Step S10: effective watched time of the record preheating video within the setting period.Wherein, preheating video is to set
Video-on-demand times are greater than the video of the first given threshold in period.Effectively viewing is greater than second for the duration of continuous viewing preheating video
The watching behavior of given threshold.
First given threshold and the second given threshold can arbitrarily be set according to concrete condition.
Step S11: the viewing hot value of preheating video is calculated according to effective watched time of preheating video.
In the step, the calculation formula of the viewing hot value of video is preheated are as follows:
Wherein, μ is the viewing hot value for preheating video;I is the serial number for setting the period;Ni is preheating video in the i-th setting
Effective watched time in period;N [i-1] is the effective watched time for preheating video within the (i-1)-th setting period.
Whether step S12: being temperature according to effective watched time of preheating video and viewing hot value assessment preheating video
Video.
The step specifically includes:
Step S120: judge whether the effective watched time for preheating video is greater than the first given threshold.
Step S121: judge whether the viewing hot value for preheating video is greater than 0.
When the judging result of step S120 be and the judging result of step S121 is also be when, execute step S122: really
Surely preheating video is temperature video;Otherwise, preheating video is non-temperature video.
By step S120~step S122, the assessment of the temperature video is made to consider the video-on-demand times of video, effectively see
Number and viewing hot value are seen, to keep the assessment result of the temperature video more objective and accurate.
In the present embodiment, the temperature video evaluations method further include:
Step S08: judge to preheat whether video within continuous three setting periods is not evaluated as temperature video.
In the step, the appraisal procedure of temperature video is above-mentioned steps S120~step S122.
If so, thening follow the steps S09: will preheating video switch to ordinary video, and rejudge ordinary video whether be
Preheat video.
In the step, by judging whether video-on-demand times are greater than the first given threshold within the setting period, so that it is determined that general
Whether intervisibility frequency is preheating video.
Step S08 and step S09 are executed before step S10.It, can be when undergoing one section by step S08~step S09
Between after (such as three setting periods), preheating video evaluations are re-started (i.e. again to the preheating video for not being assessed as temperature video
Whether secondary confirmation video is preheating video), since the viewing temperature of video can change over time, so above-mentioned steps can make to preheat
The assessment result of video is more objective and accurate, to further make the assessment result of temperature video also more objective and quasi-
Really.
In the present embodiment, temperature video evaluations method further include: step S13: being marked temperature video, and by temperature
Video is sent to Video Distribution Network.
In the step, Video Distribution Network can give temperature video distribution from the closer fringe node of user, so as to edge
Node provides the order program service of the temperature video for user.
Examples 1 to 2 the utility model has the advantages that temperature video evaluations method provided by Examples 1 to 2, by according to preheating
Whether effective watched time of video and viewing hot value are that temperature video is assessed to preheating video, compared to it is existing only
According to the method that the video-on-demand times of video assess temperature video, the temperature video evaluations method in the present invention has comprehensively considered video
Video-on-demand times, effective watched time and viewing hot value, to keep the temperature video evaluations method more objectively anti-
The true temperature of video is reflected, and then keeps the assessment result of temperature video more objective and accurate, by the temperature video distribution to view
The fringe node of frequency content distributing network (CDN) will not only waste the storage resource of fringe node, while also reduce content point
The pressure of Network Central Node is sent out, to ensure that user watches the fluency of video.
Embodiment 3:
Based on temperature video evaluations method provided in embodiment 2, the present embodiment provides a kind of temperature video evaluations systems
System, as shown in Figure 3, comprising: logging modle 1, for recording effective watched time of the preheating video within the setting period.Pre- thermovision
Frequency is the video that video-on-demand times are greater than the first given threshold within the setting period.Effectively viewing for continuous viewing preheating video when
The long watching behavior for being greater than the second given threshold.Computing module 2, for calculating preheating according to effective watched time of preheating video
The viewing hot value of video.Evaluation module 3, for the effective watched time and viewing hot value assessment preheating according to preheating video
Whether video is temperature video.
By setting computing module 2 and evaluation module 3, keep the temperature video evaluations system comprehensive to the assessment of temperature video
Video-on-demand times, effective watched time and the viewing hot value for considering video, to keep the assessment of temperature video more objective
The true temperature of ground reflecting video is seen, and then keeps the assessment result of temperature video more objective and accurate.
Wherein, evaluation module 3 includes: the first judging unit 31, for judge preheat video effective watched time whether
Greater than the first given threshold.Second judgment unit 32, for judging whether the viewing hot value for preheating video is greater than 0.It determines single
Member 33, for when the judging result of the first judging unit 31 and second judgment unit 32 is to be, determining that preheating video is heat
Spend video.
In the present embodiment, the calculation formula of the viewing hot value of video is preheated are as follows:
Wherein, μ is the viewing hot value for preheating video;I is the serial number for setting the period;Ni is preheating video in the i-th setting
Effective watched time in period;N [i-1] is the effective watched time for preheating video within the (i-1)-th setting period.
In the present embodiment, temperature video evaluations system further include: judgment module 4, for whether judging to preheat video even
Temperature video is not evaluated as in three continuous setting periods.Judgment module 5 is converted, for the judging result in judgment module 4
When to be, preheating video is switched into ordinary video, and rejudges whether ordinary video is preheating video.Judgment module 4 and turn
The setting of judgment module 5 is changed, it can be after experience a period of time (such as three setting periods), to not being assessed as the pre- of temperature video
Thermovision frequency re-starts preheating video evaluations (reaffirming whether video is preheating video), due to the viewing temperature meeting of video
It changes over time, so above-mentioned module can make the assessment result for preheating video more objective and accurate, to further make heat
The assessment result for spending video is also more objective and accurate.
In the present embodiment, temperature video evaluations system further include: label sending module 6, for being marked to temperature video
Note, and temperature video is sent to Video Distribution Network.Wherein, Video Distribution Network can by temperature video distribution give from user compared with
Close fringe node, so that fringe node provides the order program service of the temperature video for user.
The beneficial effect of embodiment 3, temperature video evaluations system provided in embodiment 3, by setting logging modle,
Computing module and evaluation module make the temperature video evaluations system comprehensively consider the program request time of video to the assessment of temperature video
Several, effective watched time and viewing hot value, so that the assessment of temperature video be made to be capable of the true of more objectively reflecting video
Temperature, and then keep the assessment result of temperature video more objective and accurate, the temperature video distribution to video content is distributed into net
The fringe node of network (CDN) will not only waste the storage resource of fringe node, while also reduce content distributing network centromere
The pressure of point, to ensure that user watches the fluency of video.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses
Mode, however the present invention is not limited thereto.For those skilled in the art, essence of the invention is not being departed from
In the case where mind and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.
Claims (10)
1. a kind of temperature video evaluations method characterized by comprising
Effective watched time of the record preheating video within the setting period;The preheating video is the program request within the setting period
Number is greater than the video of the first given threshold;Effective viewing sets continuously to watch the duration of the preheating video greater than second
Determine the watching behavior of threshold value;
The viewing hot value of the preheating video is calculated according to effective watched time of the preheating video;
According to effective watched time of the preheating video and the viewing hot value assessment preheating video whether be
Temperature video.
2. temperature video evaluations method according to claim 1, which is characterized in that the institute according to the preheating video
It states effective watched time and the viewing hot value assesses whether the preheating video is that temperature video includes:
Step S120: judge whether effective watched time of the preheating video is greater than first given threshold;
Step S121: judge whether the viewing hot value of the preheating video is greater than 0;
When the judging result of the step S120 is to be and when the judging result of the step S121 is also to be, step is executed
S122: determine that the preheating video is the temperature video.
3. temperature video evaluations method according to claim 2, which is characterized in that the viewing heat of the preheating video
The calculation formula of angle value are as follows:
Wherein, μ is the viewing hot value of the preheating video;I is the serial number in the setting period;Ni is the pre- thermovision
The effective watched time of the frequency within the i-th setting period;N [i-1] is the preheating video in the (i-1)-th setting week
Effective watched time in phase.
4. temperature video evaluations method according to claim 2, which is characterized in that further include: judge the preheating video
Whether within the continuous three setting periods temperature video is not evaluated as;If it is, by the preheating video
Switch to ordinary video, and rejudges whether the ordinary video is the preheating video.
5. temperature video evaluations method according to claim 2, which is characterized in that further include: to the temperature video into
Line flag, and the temperature video is sent to Video Distribution Network.
6. a kind of temperature video evaluations system characterized by comprising
Logging modle, for recording effective watched time of the preheating video within the setting period;The preheating video is described
Set the video that video-on-demand times in the period are greater than the first given threshold;Effective viewing is continuously to watch the preheating video
Duration is greater than the watching behavior of the second given threshold;
Computing module, for calculating the viewing temperature of the preheating video according to effective watched time of the preheating video
Value;
Evaluation module, for described pre- according to effective watched time of the preheating video and viewing hot value assessment
Whether thermovision frequency is temperature video.
7. temperature video evaluations system according to claim 6, which is characterized in that the evaluation module includes:
First judging unit, for judging whether effective watched time of the preheating video is greater than the first setting threshold
Value;
Second judgment unit, for judging whether the viewing hot value of the preheating video is greater than 0;
Determination unit, for determining when the judging result of first judging unit and the second judgment unit is to be
The preheating video is the temperature video.
8. temperature video evaluations system according to claim 7, which is characterized in that the viewing heat of the preheating video
The calculation formula of angle value are as follows:
Wherein, μ is the viewing hot value of the preheating video;I is the serial number in the setting period;Ni is the pre- thermovision
The effective watched time of the frequency within the i-th setting period;N [i-1] is the preheating video in the (i-1)-th setting week
Effective watched time in phase.
9. temperature video evaluations system according to claim 7, which is characterized in that further include: judgment module, for judging
Whether the preheating video within the continuous three setting periods is not evaluated as the temperature video;
Judgment module is converted, for when the judgment result of the judgment module is yes, the preheating video being switched to commonly regard
Frequently, and rejudge whether the ordinary video is the preheating video.
10. temperature video evaluations system according to claim 7, which is characterized in that further include: label sending module is used
It is marked in the temperature video, and the temperature video is sent to Video Distribution Network.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810864921.0A CN108966014B (en) | 2018-08-01 | 2018-08-01 | Method and system for evaluating heat video |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810864921.0A CN108966014B (en) | 2018-08-01 | 2018-08-01 | Method and system for evaluating heat video |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108966014A true CN108966014A (en) | 2018-12-07 |
CN108966014B CN108966014B (en) | 2021-02-02 |
Family
ID=64465821
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810864921.0A Active CN108966014B (en) | 2018-08-01 | 2018-08-01 | Method and system for evaluating heat video |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108966014B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109327710A (en) * | 2018-12-10 | 2019-02-12 | 网宿科技股份有限公司 | A kind of method and device that the cold and hot situation of the video flowing of live broadcast system determines |
CN110825910A (en) * | 2019-10-15 | 2020-02-21 | 平安科技(深圳)有限公司 | Video course recommendation method based on big data and related device |
CN112218114A (en) * | 2019-07-10 | 2021-01-12 | 中国电信股份有限公司 | Video cache control method, device and computer readable storage medium |
CN113784170A (en) * | 2021-11-11 | 2021-12-10 | 深圳市名竹科技有限公司 | Content data preheating method and device, computer equipment and storage medium |
CN115334321A (en) * | 2022-08-10 | 2022-11-11 | 北京百度网讯科技有限公司 | Method and device for acquiring access heat of video stream, electronic equipment and medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020087797A1 (en) * | 2000-12-29 | 2002-07-04 | Farid Adrangi | System and method for populating cache servers with popular media contents |
CN1996996A (en) * | 2006-12-19 | 2007-07-11 | 北京邮电大学 | The method for stream media file buffer for the mobile stream media proxy server |
CN101883012A (en) * | 2010-07-09 | 2010-11-10 | 四川长虹电器股份有限公司 | Processing method of storage resource in network edge node |
CN102395047A (en) * | 2011-10-25 | 2012-03-28 | 深圳市同洲电子股份有限公司 | Method and equipment for deleting multi-media contents in content publishing network nodes |
US20160248879A1 (en) * | 2012-02-02 | 2016-08-25 | Comcast Cable Communications, Llc | Content Distribution Network Supporting Popularity-Based Caching |
CN106791930A (en) * | 2017-01-04 | 2017-05-31 | 北京百度网讯科技有限公司 | A kind of method for processing video frequency and device |
CN107247733A (en) * | 2017-05-05 | 2017-10-13 | 中广热点云科技有限公司 | A kind of video segment viewing temperature analysis method and system |
-
2018
- 2018-08-01 CN CN201810864921.0A patent/CN108966014B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020087797A1 (en) * | 2000-12-29 | 2002-07-04 | Farid Adrangi | System and method for populating cache servers with popular media contents |
CN1996996A (en) * | 2006-12-19 | 2007-07-11 | 北京邮电大学 | The method for stream media file buffer for the mobile stream media proxy server |
CN101883012A (en) * | 2010-07-09 | 2010-11-10 | 四川长虹电器股份有限公司 | Processing method of storage resource in network edge node |
CN102395047A (en) * | 2011-10-25 | 2012-03-28 | 深圳市同洲电子股份有限公司 | Method and equipment for deleting multi-media contents in content publishing network nodes |
US20160248879A1 (en) * | 2012-02-02 | 2016-08-25 | Comcast Cable Communications, Llc | Content Distribution Network Supporting Popularity-Based Caching |
CN106791930A (en) * | 2017-01-04 | 2017-05-31 | 北京百度网讯科技有限公司 | A kind of method for processing video frequency and device |
CN107247733A (en) * | 2017-05-05 | 2017-10-13 | 中广热点云科技有限公司 | A kind of video segment viewing temperature analysis method and system |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109327710A (en) * | 2018-12-10 | 2019-02-12 | 网宿科技股份有限公司 | A kind of method and device that the cold and hot situation of the video flowing of live broadcast system determines |
CN112218114A (en) * | 2019-07-10 | 2021-01-12 | 中国电信股份有限公司 | Video cache control method, device and computer readable storage medium |
CN112218114B (en) * | 2019-07-10 | 2023-01-03 | 中国电信股份有限公司 | Video cache control method, device and computer readable storage medium |
CN110825910A (en) * | 2019-10-15 | 2020-02-21 | 平安科技(深圳)有限公司 | Video course recommendation method based on big data and related device |
WO2021073164A1 (en) * | 2019-10-15 | 2021-04-22 | 平安科技(深圳)有限公司 | Video course recommendation method based on big data, and related device |
CN110825910B (en) * | 2019-10-15 | 2023-10-13 | 平安科技(深圳)有限公司 | Video course recommendation method and related device based on big data |
CN113784170A (en) * | 2021-11-11 | 2021-12-10 | 深圳市名竹科技有限公司 | Content data preheating method and device, computer equipment and storage medium |
CN115334321A (en) * | 2022-08-10 | 2022-11-11 | 北京百度网讯科技有限公司 | Method and device for acquiring access heat of video stream, electronic equipment and medium |
CN115334321B (en) * | 2022-08-10 | 2024-04-09 | 北京百度网讯科技有限公司 | Method and device for acquiring access heat of video stream, electronic equipment and medium |
Also Published As
Publication number | Publication date |
---|---|
CN108966014B (en) | 2021-02-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108966014A (en) | A kind of temperature video evaluations method and system | |
Tan et al. | Impact of integrity attacks on real-time pricing in smart grids | |
CN111259070A (en) | Method and related device for storing and acquiring service data | |
JP5259761B2 (en) | Data conversion apparatus and program | |
CN103685532B (en) | The safety guarantee system and method used during transmission of a kind of data among enterprises based on cloud service | |
JP2011234367A (en) | Data transmission apparatus and method | |
CN110825810A (en) | Block chain-based crowd sensing double privacy protection method | |
WO2016082582A1 (en) | Method and system for sharing traffic of terminal | |
CN109768978A (en) | A kind of method and relevant apparatus of obfuscated data | |
Kianmajd et al. | Privacy-preserving coordination for smart communities | |
WO2018232912A1 (en) | Management method and management system for data traffic of internet of things | |
US8423472B2 (en) | Method of time charging to DHCP online users in a broadband access server | |
CN107092649A (en) | A kind of topological replacement method of unaware towards real-time stream calculation | |
Dayaratne et al. | We can pay less: Coordinated false data injection attack against residential demand response in smart grids | |
CN113067802A (en) | User identification method, device, equipment and computer readable storage medium | |
CA3134911A1 (en) | Method and system for automated aggregation of carbon offsets | |
CN103164636B (en) | A kind of method and system of online reading digital content authentication | |
CN107508745A (en) | The association input method and device and computing device of prompting message | |
CN107947886A (en) | System calibration method based on time-code and quasi- second | |
TW201034403A (en) | Computer program product and recording medium for determining method of switching sleep mode | |
CN104767723B (en) | A kind of authentication method and device | |
CN108965909A (en) | A kind of unexpected winner video evaluations method and system | |
CN108616528A (en) | A kind of cloud storage method and system | |
CN108111534A (en) | A kind of method and device for controlling authorization | |
Rana et al. | The strength of social strength: an evaluation study of algorithmic versus user-defined ranking |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |