CN104918067A - Method and system for performing curve processing on video hot degree - Google Patents
Method and system for performing curve processing on video hot degree Download PDFInfo
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- CN104918067A CN104918067A CN201410089716.3A CN201410089716A CN104918067A CN 104918067 A CN104918067 A CN 104918067A CN 201410089716 A CN201410089716 A CN 201410089716A CN 104918067 A CN104918067 A CN 104918067A
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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
- H04N21/25—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
- H04N21/25891—Management of end-user data being end-user preferences
Abstract
The invention discloses a method and system for performing curve processing on video hot degree. The method includes the following steps that: after a video is divided into a plurality of time segments with the same time interval according to overall time displayed on a playing rolling bar, the accumulative values of dragging behaviors of users in each time segment are put into statistics; when the accumulative value of the dragging behaviors of the users in a certain time segment achieves a preset statistic threshold value, the percentage values of hot degree points corresponding to each time segment are determined according to the statistic threshold value and the accumulative values of the dragging behaviors of the users in each time segment; and in a coordinate system formed by an X axis which is represented by the overall time of the video and a Y axis which is represented by the percentage values, points corresponding to the hot degree points are marked and are connected together so as to form a curve characterizing the hot degree of the video. With the method and system of the invention adopted, the problem of incapability of an existing video hot point determining method to actually reflect actual video hot points of videos under a network environment can be solved.
Description
Technical field
The application relates to video temperature field, more specifically, relates to a kind of method and system video temperature being carried out to curve processing.
Background technology
Along with the fast development of Internet technology, the mode of people's obtaining information changes: from modes such as traditional books, newspaper, TV, broadcast, then become and obtained by the Internet.Especially comprehensive Internet video resource abundant to movie and video programs, news, advertisement, chat video, game video and monitor video etc. is shared by the Internet, thus Internet video has become people's study, social and amusement and recreation and irreplaceable important way.
In reality, due to the continuous growth of the video data volume, make the manpower that video hotspot elite needs at substantial by hand, and the content of the video elite gathered depends on manual editing completely, the determination of video hotspot mainly relies on video hotspot editorial staff, cannot each video access temperature under reaction network environment in real time, the actual video focus of the video hotspot causing being illustrated in user terminal not this video of actual response.Wherein, video hotspot is the video watching focus determining that the editorial staff of video elite edits out.In addition, what the video frequency abstract also realized by the video processing technique of computer made user terminal get relevant video file at short notice simplifies information, and this video frequency abstract is the elite fragment after longer video concentrates, and remains the key component of original video.The mode utilizing the video processing technique of computer to produce video frequency abstract generally has two types, namely, dynamic video summary and static video frequency abstract, 3 dimensions that dynamic video summary is produced by the important scenes of interim arrangements represent, and 2 dimensions that static video frequency abstract is only produced by the key frame of important scenes represent, above two types all need to utilize the method for video analysis to process video metadata, amount of calculation is large, its video frequency abstract extracted also cannot video access temperature under reaction network environment truly, namely still cannot actual response video actual video focus in a network environment.
As shown in Figure 1, traditional watching focus ways of presentation, on progress bar when video playback, the point only having several editorial staff to adopt dot method to beat is to represent the place of behaving excellently of video, so-called dot method, refer to that video editing personnel adopt manual type will to be engraved in server enterprising row labels during video, the corresponding point (i.e. watching focus) of moment position display that such user terminal transmits according to server, but fail to excavate the access temperature of each user terminal to video content.The main execution step of above-mentioned this scheme, comprising:
1, after video editing personnel take video, the full section viewing of video to first first be carried out;
2, in viewing process, video editing personnel adopt manual type point writing time, and are entered in corresponding Content Management System together with description content by time point.
3, will be got by the interface in server content system when user watches this video by player and get data, institute's a little corresponding time ready, be illustrated on player time shaft, so that user goes to click.
In sum, determine in prior art that the mode of video hotspot is consuming time, effort, waste of manpower resource, and it is undesirable to represent effect, and existing cannot the problem of actual response video actual video focus in a network environment.
Summary of the invention
In view of this, this application provides a kind of method and system video temperature being carried out to curve processing, with solve determine that the mode of video hotspot exists cannot the problem of actual response video actual video focus in a network environment.
In order to solve the problems of the technologies described above, this application discloses a kind of method of video temperature being carried out to curve processing, the method comprises:
After video is divided into the time period of multiple same time spacing according to the overall time that broadcasting scroll bar shows, add up the aggregate-value of the behavior that pulls of user in each described time period;
When the aggregate-value pulling behavior in section sometime described in user reaches default statistical threshold, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine the temperature point percentage value that each described time period is corresponding;
In the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature.
Preferably, wherein, using the broadcasting scroll bar of described video as axis of abscissas, the coordinate that formed as axis of ordinates of percentage value, be further:
Using the broadcasting scroll bar of described video as axis of abscissas, the coordinate that formed as axis of ordinates of percentage value, the percentage value that described axis of abscissas is corresponding with described axis of ordinates intersection location is 50%.
Preferably, wherein, in the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature, being further:
In the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature, being presented on the broadcasting scroll bar of described video.
Preferably, wherein, in the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and after connecting into the curve of sign video temperature, also comprise:
Described curve is preserved, when after the solicited message receiving the temperature curve obtaining this video, the broadcasting scroll bar of described video shows this curve.
Preferably, wherein, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine the temperature point percentage value that each described time period is corresponding to be further:
With this statistical threshold for dividend, carry out percentage statistics with the aggregate-value pulling behavior in each time period described in user for divisor, draw the non-temperature point percentage value that each described time period is corresponding;
The described non-temperature point percentage value drawn and positive integer 1 are subtracted each other, draws the temperature point percentage value that each described time period is corresponding.
Preferably, wherein, also comprise:
When pulling behavior described in showing the described video generating described curve and being performed by user in playing process, record the time period that this pulls behavior generation, statistics characterizes the curve of the video temperature of described video again.
In order to solve the problems of the technologies described above, disclosed herein as well is a kind of system of video temperature being carried out to curve processing, being arranged in server, and couple mutually with player, this system comprises: monitoring accumulated unit, temperature point processing unit and curve generation unit, wherein
Described monitoring accumulated unit, after video is divided into the time period of multiple same time spacing according to the overall time that broadcasting scroll bar shows, adds up the aggregate-value of the behavior that pulls of user in each described time period;
Described temperature point processing unit, when aggregate-value for pulling behavior in section sometime described in user reaches default statistical threshold, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine that temperature point percentage value corresponding to each described time period is sent to described curve generation unit;
Described curve generation unit, for using the described overall time of described video as axis of abscissas, in the coordinate that formed as percentage value as axis of ordinates, marks point corresponding to described temperature point percentage value and connects into the curve of sign video temperature.
Preferably, wherein, described curve generation unit, is further used for:
Coordinate is formed as axis of abscissas, percentage value as axis of ordinates using the broadcasting scroll bar of described video, and the described axis of abscissas percentage value corresponding with axis of ordinates intersection location is 50%, point corresponding to described temperature point percentage value is marked and after connecting into the curve characterizing video temperature in described coordinate, described curve is preserved, when after the solicited message receiving the temperature curve obtaining this video, the broadcasting scroll bar of described video shows this curve.
Preferably, wherein, described temperature point processing unit, is further used for:
With this statistical threshold for dividend, carry out percentage statistics with the aggregate-value pulling behavior in each time period described in user for divisor, draw the non-temperature point percentage value that each described time period is corresponding;
The described non-temperature point percentage value drawn and positive integer 1 are subtracted each other, draws the temperature point percentage value that each described time period is corresponding.
Preferably, wherein, described monitoring accumulated unit, also for:
When pulling behavior described in showing the described video generating described curve and being performed by user in playing process, record the time period that this pulls behavior generation, statistics characterizes the curve of the video temperature of described video again.
Compared with prior art, a kind of method and system video temperature being carried out to curve processing described in the application, reaches following effect:
1) video is divided into multiple time period by the application, add up the aggregate-value of the behavior that pulls occurred in each time period, the aggregate-value reaching a certain preset value in any time period is converted to percentage value intuitively, in order to reflect the temperature point of video in different time sections, and the temperature determined point is connected to form temperature curve is presented in video scroll bar, thus, by the mode of above-mentioned detail statistics can accurately, reflecting video actual video focus in a network environment truly.
2) the application pulls the mode of behavior by player record, and adopt the mode of synchronous statistics to add up the behavior that pulls in the video play in real time, the temperature that can upgrade in time curve, do not need human-edited to get ready simultaneously, thus, adopt technical scheme to carry out video hot statistics and possess good display effect, and effectively save the time expended in video hot statistics process and human resources.
Certainly, the arbitrary product implementing the application must not necessarily need to reach above-described all technique effects simultaneously.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide further understanding of the present application, and form a application's part, the schematic description and description of the application, for explaining the application, does not form the improper restriction to the application.In the accompanying drawings:
Fig. 1 is the schematic diagram of video hotspot in prior art.
The FB(flow block) of video temperature being carried out to the method for curve processing described in Fig. 2 the embodiment of the present application one.
Fig. 3 is the FB(flow block) of video temperature being carried out to the method for curve processing described in the embodiment of the present application two.
Fig. 4 is the schematic diagram of the temperature curve of the video described in the embodiment of the present application three.
Fig. 5 is the schematic diagram on the relevant information hurdle of the video described in the embodiment of the present application four.
Fig. 6 is structured flowchart video temperature being carried out to the system of curve processing described in the embodiment of the present application six.
Embodiment
As employed some vocabulary to censure specific components in the middle of specification and claim.Those skilled in the art should understand, and hardware manufacturer may call same assembly with different noun.This specification and claims are not used as with the difference of title the mode distinguishing assembly, but are used as the criterion of differentiation with assembly difference functionally." comprising " as mentioned in the middle of specification and claim is in the whole text an open language, therefore should be construed to " comprise but be not limited to "." roughly " refer to that in receivable error range, those skilled in the art can solve the technical problem within the scope of certain error, reach described technique effect substantially.In addition, " couple " word and comprise directly any and indirectly electric property coupling means at this.Therefore, if describe a first device in literary composition to be coupled to one second device, then represent described first device and directly can be electrically coupled to described second device, or be indirectly electrically coupled to described second device by other devices or the means that couple.Specification subsequent descriptions is implement the better embodiment of the application, and right described description is for the purpose of the rule that the application is described, and is not used to the scope limiting the application.The protection range of the application is when being as the criterion depending on the claims person of defining.
Embodiment one
As shown in Figure 2, be a kind of method of video temperature being carried out to curve processing described in the embodiment of the present application one, the method comprises:
Step 201, after video is divided into the time period of multiple same time spacing according to the overall time that broadcasting scroll bar shows, adds up the aggregate-value of the behavior that pulls of user in each described time period.
Be in particular, user is when watching video, carry out the view data in the player reading corresponding video file of video playback and time data, and generate broadcasting scroll bar (also can be called video playback progress bar), described broadcasting scroll bar reflects the order arrangement of each frame picture in this video, be exactly total therefore duration corresponding to this video of overall time shown on described broadcasting scroll bar.
For step 201, the overall time of described broadcasting scroll bar is divided, can according to the criteria for classifying pre-set, as: regulation time division spacing is 20s(second), the time interval of 30s or other durations by as described in the broadcasting scroll bar of video divide equally spaced multiple time period.But, because the overall time (total duration) of different video is not identical, for the video (as: total duration is the film video of 100 minutes) that the time is longer, if be that time interval divides with 40s, then this film video is divided into enough multiple time period, and for time shorter video (as: total duration is the advertisement video of 2 minutes), if be still that time interval divides with 40s, then this advertisement video can only be divided into less several time periods, affects the precision of the statistics of the follow-up behavior that pulls.Thus, in step 201, also can according to the length of the overall time of the described broadcasting scroll bar of video, according to corresponding ratio cut partition equally spaced multiple time period, as: specify to divide for time interval according to 1% of the total duration of video, so, no matter for total duration to be the film video of 100 minutes or total duration be advertisement video of 2 minutes, enough multiple time period can be all divided into.Certainly, the mode that is divided into multiple time period can also adopt other modes the above-mentioned overall time to video.
It should be noted that, in step 201, when different users pulls behavior, then need to pull behavior and carry out network by described and upload, thus add up, so, in the present embodiment, specifically can adopt the online player in network player, browser or there is the player etc. of network transmission function, not do concrete restriction here.
Step 202, when the aggregate-value pulling behavior in section sometime described in user reaches default statistical threshold, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine the temperature point percentage value that each described time period is corresponding.
Particularly, for a certain video, user is all not identical to the level of interest of content in this video, user is when watching this video, described broadcasting scroll bar will be pulled to uninterested part and skip this part, just to carry out when this pulls behavior recording that (recording process can be completed by corresponding player when user produces, and be uploaded in corresponding server by pulling behavior described in record, restriction is not made) at this, after the behavior that pulls of different user is added up, just the aggregate-value pulling behavior described in any time period that this video divides can be obtained.
User carries out pulling behavior in the section sometime of described video, then show that the content in this time period of described video is not enough to attract user, in step 202., added up by the behavior that pulls occurred when watching same video different user, just user can be specialized the level of interest of video content, represent in the mode of temperature point percentage intuitively, wherein, the minimum value of cumulative number is pulled in each time period that described statistical threshold can be the video preset, as: by as described in statistical threshold be set as 100 times, that is, when the behavior that pulls occurred in this video sometime section reaches 100 times (aggregate-value pulling behavior is namely 100 times), then in conjunction with this statistical threshold, percentage statistical disposition is carried out to the described aggregate-value pulling behavior, thus draw the temperature point percentage value that each described time period of this video is corresponding.
Step 203, in the coordinate formed as axis of abscissas, percentage value as axis of ordinates using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature, obviously, this video temperature is for the tolerance of any video in the degree of behaving excellently of the video of behave excellently period and region composition.
So far, the flow process that video temperature carries out curve processing is terminated.
In the flow process that Fig. 2 is corresponding, video is divided into multiple time period (certainly by scheme provided by the invention, the described time period divided is more, higher to the described statistical accuracy pulling behavior), add up the aggregate-value of the behavior that pulls occurred in this video each time period, this aggregate-value reflects viewing point and the jump (namely reflecting the temperature point of video) of different user, when added up aggregate-value reaches one predetermined statistical magnitude (namely preset statistical threshold), then just this aggregate-value changes the percentage value of reflecting video temperature point, again the temperature point of the percentage value form determined is connected to form temperature curve and is presented at (formation crest in video scroll bar, the shape of trough), thus, just can be accurate by above-mentioned steps flow process, reflecting video actual video focus in a network environment truly.
Embodiment two
As shown in Figure 3, be a kind of method of video temperature being carried out to curve processing described in the embodiment of the present application two, the method comprises:
Step 301, by the overall time of a certain video A with 30 seconds for time interval is divided into multiple time period, after user carries out pulling of video, record this and pull behavior.
The process of record can be watched by user the player that video uses and be completed, the operation of this player to all users of this video of viewing is monitored, behavior is pulled when there being user, then record pulls row and corresponding time period, thus generate corresponding data upload to server, complete the statistics once pulling behavior.
After user pulls behavior, the data mode uploaded is: from=20 & seek=40, representing that this user this time pulls behavior is by the position being dragged to 40 seconds from 20 of video, and so, between explanation, the content of 20 seconds does not belong to the interested content of this user.
Certainly, other modes can also be adopted in above-mentioned steps 301 to carry out the statistics of the behavior that pulls, pull behavior by player recording user and the mode that upload server carries out adding up does not form limiting the application.
Wherein, in order to pull the aggregate-value of behavior described in accurate count, need video to be divided into the abundant time period, in the present embodiment, as a kind of optimal way, the described time period in seconds.Certainly, a minute equal time unit can also operate as unit by the described time period.
Step 302, the behavior that pulls in different time sections is added up, the data uploaded finally can add up in each time period, until when data reach a threshold values, with this statistical threshold for dividend, carry out percentage statistics with the aggregate-value pulling behavior in each time period described in user for divisor, draw the non-temperature point percentage value that each described time period is corresponding, and subtract each other with positive integer 1 respectively, draw the temperature point percentage value that each described time period is corresponding.
Specifically, because this video carried out time division section with every 30 seconds, thus, carry out adding up to add 1 to second time period, in like fashion, record is carried out in the behavior that pulls of all users of this video of viewing A and uploads, and the behavior that pulls in different time sections is added up.
Step 303, using the broadcasting scroll bar of described video as axis of abscissas, axis of ordinates is as percentage value, it is 50% that this axis of abscissas and axis of ordinates intersection location represent percentage value, in the coordinate that described axis of abscissas and axis of ordinates are formed, mark point corresponding to described temperature point percentage value and connect into curve, after generation (as shown in Figure 4) described temperature curve, corresponding temperature data are sent to the player in different clients by described server, so that other user checks.
As shown in Figures 4 and 5, to be shown in the player of this video of broadcasting after the point that described temperature point percentage value is corresponding connects into curve, the particular location of display can be the broadcasting scroll bar place of described video, the point corresponding by described temperature point percentage value connects into curve, is specially: point corresponding for described temperature point percentage value is connected into curve and shows on the broadcasting scroll bar of described video.
Certainly, in actual applications, if described curve is as shown in Figure 4 shown on described broadcasting scroll bar always, may impact the viewing effect of described video, so the instruction according to user shows by described curve, connect into curve by the point that described temperature point percentage value is corresponding and preserve, after receiving the operation information to the temperature curve acquisition of this video, this curve is shown on the broadcasting scroll bar of described video.That is, when user is without operation information, described curve is hidden and is not shown, and only receives the operation instruction (as: clicking corresponding option) of user, namely as shown in Figure 5, just shows.
It should be noted that, for step 303, the curve that described temperature point percentage value generates has synchronism, namely when a certain user is when watching this video, the curve of the described temperature point percentage value that this video is corresponding can be seen, this user just can get information about this video in the temporal temperature distribution of entirety, if the broadcasting scroll bar of this user to described video pulls, the behavior that then this time pulls also is recorded (statistics), and be uploaded in corresponding service end, detailed process is step, that is:
Step 304, when pulling behavior described in showing the described video generating described curve and being performed by user in playing process, recording the time period that this pulls behavior generation, again adding up the curve that described video temperature is corresponding.
For above-mentioned steps, the mode of behavior is pulled by player record, and adopt the mode of synchronous statistics to add up the behavior that pulls in the video play in real time, the temperature that can upgrade in time curve, thus, adopt technical scheme to carry out video hot statistics and possess good display effect, and effectively save the time expended in video hot statistics process and human resources
Embodiment three
Video temperature is carried out to the method for curve processing as described in above-described embodiment two, in actual applications, because video website provides multiple different video resource, different users can watch corresponding video resource by accessing video website, such as, different user is to wherein video: when " Chinese good sound finals " is watched, then enter corresponding broadcast interface and carry out video playback, and record is carried out to the behavior that pulls of user, step is in the present embodiment:
Step one, total duration of described video " Chinese good sound finals " is divided using 10 minutes as the unit interval, and this video " Chinese good sound finals " is divided into multiple time period, when video playback, add up within every 10 minutes, be the unit time time period in the aggregate-value of the behavior that pulls of user.
Step 2, the aggregate-value pulling behavior in the section sometime of video " Chinese good sound finals " described in user reaches a default statistical threshold, and (visit capacity of this video website is larger, using 1000 times within the time period described in each to the described statistical threshold pulling behavior) time, carry out percentage statistical disposition in conjunction with this statistical threshold and the aggregate-value that pulls behavior in each time period described in user, draw the temperature point percentage value that each described time period is corresponding.
Step 3, (as shown in Figure 4) by described video to play the described overall time of scroll bar form display as axis of abscissas, axis of ordinates is as percentage value, it is 50% that this axis of abscissas and axis of ordinates intersection location represent percentage value, marks point corresponding to described temperature point percentage value and connect into curve in the coordinate that described axis of abscissas and axis of ordinates are formed.
Particularly:
If a certain user is when watching this video " Chinese good sound finals ", the interested content of this user is not belonged to the advertisement part content of the beginning of this video " Chinese good sound finals ", thus user pulls behavior, pulling for the 1st minute namely from this video " Chinese good sound finals ", by video dragging to the 8th minute, now, this user of browser record pulls behavior, generate corresponding data to upload, the data uploaded are from=01 & seek=08, again because this video " Chinese good sound finals " is using every 10 minutes as the unit interval, thus, carry out adding up to add 1 to first time period.In this way record is carried out to the behavior that pulls of the user of this video of all viewings " Chinese good sound finals ", until the accumulative data sometime in section reach described statistics threshold values (accumulative 1000 times).
Now, corresponding server is by data genaration temperature curve accumulative for basis, herein for ease of explanation, adopt front 5 time periods (i.e. 0 ~ 10m, 11 ~ 20m, 21 ~ 30m, 31 ~ 40m and 41 ~ 50m) of video " Chinese good sound finals ", the accumulative number of times that pulls in these front 5 time periods is respectively 800,990,678,500 and 300, and the temperature percentage queue so formed is:
[800/1000，990/1000，678/1000，500/1000，300/1000]，
After obtaining point corresponding to above-mentioned 5 temperature point percentage values, point corresponding for described 5 temperature point percentage values is connected into curve, generate temperature curve in be greater than the representative temperature point percentage value shown in Fig. 4 be 50% center line will be in more than this center line, be less than 50% will be in below this center line, then carry out all temperatures point to connect the video-see temperature curve just defining and possess crest and trough.
Embodiment four
After generating described temperature curve in above-described embodiment three, point corresponding for described temperature point percentage value is connected into curve show on the broadcasting scroll bar of described video, and be shown in the described broadcasting scroll bar of described video " Chinese good sound finals " in the mode shown in described Fig. 4, for user, when watching video, more wish that interface is comparatively clean, not affect experience during viewing.
Thus, in the present embodiment, when user enters in the broadcast interface of described video, the relevant information hurdle of video as shown in Figure 5 can be seen, S10 region in this Information is by the title of display video, S20 is the operation keys controlling described temperature curve show or hide, namely after point corresponding for described temperature point percentage value is connected into curve preservation by corresponding server, after user clicks this operation keys S20, the operation information of temperature curve that server will receive this video, thus as shown in Figure 4, this curve is shown on the broadcasting scroll bar of described video; After user clicks this operation keys S20 again, the operation information of temperature curve that server will receive this video, hides this curve on the broadcasting scroll bar of described video.
As a kind of optimal way, in the present embodiment, the function such as " sharing ", " praising " can be added in described relevant information hurdle, namely as shown in Figure 5, above-mentioned two kinds of functions can reflect the temperature of current video entirety, can be shown to other users, other users just when not watching, can understand the pouplarity (i.e. video temperature) of this video simultaneously.
Embodiment five
For the temperature curve of the described video in above-described embodiment three and four, undertaken again adding up in real time by according to the behavior that pulls of different user when watching, and be shown to different users with the form refreshed.
Particularly, for user M:
When user M watches the video of " Chinese good sound finals ", the described focus curve of this video generates, and user M can by the described operation keys S20 in click Fig. 5 to check described focus curve, and described focus curve as shown in Figure 4.In this focus curve, wave crest portions represents that temperature is higher, wave trough portion represents that temperature is lower, thus, by the impact of described focus curve, user M also pulls in front 5 time periods (i.e. 0 ~ 10m, 11 ~ 20m, 21 ~ 30m, 31 ~ 40m and 41 ~ 50m) of this video, now, the cumulative number pulling behavior is added up by server again (namely upgrading the cumulative number pulled), again the number of times that pulls after statistics is respectively 801,991,679,501 and 301, and the temperature percentage queue so formed is:
[801/1000，991/1000，679/1000，501/1000，301/1000]，
After obtaining point corresponding to above-mentioned 5 temperature point percentage values again added up, point corresponding for 5 the temperature point percentage values upgraded is connected into curve, the temperature curve of the renewal of generation.
The temperature curve of described renewal is shown to all users watching " Chinese good sound finals " by the mode refreshed.Equally, described server pulls behavior by each user's of real time record, and statistics pulls number of times, to upgrade described focus curve again.The present invention in this way, can be quick, accurate and effective up-to-date video temperature is presented to active user.
Embodiment six
As shown in Figure 6, be a kind of system of video temperature being carried out to curve processing described in the embodiment of the present application six, be arranged in server, and couple mutually with player, this system comprises: monitoring accumulated unit 601, temperature point processing unit 602 and curve generation unit 603, wherein
Described monitoring accumulated unit 601, couple mutually with described player and temperature point processing unit 602, after video is divided into the time period of multiple same time spacing according to the overall time that broadcasting scroll bar shows, add up the aggregate-value of the behavior that pulls of user in each described time period.
Described temperature point processing unit 602, couple mutually with described monitoring accumulated unit 601 and curve generation unit 603, when aggregate-value for pulling behavior in section sometime described in user reaches default statistical threshold, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine that temperature point percentage value corresponding to each described time period is sent to described curve generation unit 603.
Particularly, described temperature point processing unit 602 for dividend, carries out percentage statistics with the aggregate-value pulling behavior in each time period described in user for divisor with this statistical threshold, draws the non-temperature point percentage value that each described time period is corresponding; The described non-temperature point percentage value drawn and positive integer 1 are subtracted each other, draws the temperature point percentage value that each described time period is corresponding.
Described curve generation unit 603, couple mutually with described temperature point processing unit 602 and player, for in the coordinate formed as axis of abscissas, percentage value as axis of ordinates using the described overall time of described video, mark point corresponding to described temperature point percentage value and the curve connecting into sign video temperature is sent to described player shows.
For described curve generation unit 603, specifically for using the broadcasting scroll bar of described video as axis of abscissas, the coordinate that formed as axis of ordinates of percentage value, and the described axis of abscissas percentage value corresponding with axis of ordinates intersection location is 50%, point corresponding to described temperature point percentage value is marked and after connecting into the curve characterizing video temperature in described coordinate, described curve is preserved, when after the solicited message receiving the temperature curve obtaining this video, the broadcasting scroll bar of described video shows this curve.
As shown in Figures 4 and 5, for described curve generation unit 603, to be shown in the player of this video of broadcasting after the point that described temperature point percentage value is corresponding connects into curve, the particular location of display can be the broadcasting scroll bar place of described video, the point corresponding by described temperature point percentage value connects into curve, is specially: point corresponding for described temperature point percentage value is connected into curve and shows on the broadcasting scroll bar of described video.
Certainly, in actual applications, if described curve is as shown in Figure 4 shown on described broadcasting scroll bar always, may impact the viewing effect of described video, so the instruction according to user shows by described curve, i.e. described curve generation unit 603, specifically for: point corresponding for described temperature point percentage value is connected into curve and preserve, after receiving the operation information to the temperature curve acquisition of this video, this curve is shown on the broadcasting scroll bar of described video.That is, when user is without operation information, described curve is hidden and is not shown, and only receives the operation instruction (as: clicking corresponding option) of user, namely as shown in Figure 5, just shows.
It should be noted that, the curve that described temperature point percentage value generates has synchronism, namely when a certain user is when watching this video, the curve of the described temperature point percentage value that this video is corresponding can be seen, this user just can get information about this video in the temporal temperature distribution of entirety, if the broadcasting scroll bar of this user to described video pulls, the behavior that then this time pulls also is recorded, and be uploaded in described server, this process is completed by described monitoring accumulated unit 601, i.e. described monitoring accumulated unit 601, also for: when show generate the described video of described curve performed by user in playing process described in pull behavior time, record the time period that this pulls behavior generation, again statistics characterizes the curve of the video temperature of described video.
Specifically, in the present embodiment, after user carries out pulling of video, player pulls row by recording this, and by the data upload of the behavior that pulls of record to corresponding server, such as: user is at viewing video A, corresponding server by the overall time of this video A with 30 seconds for time interval is divided into multiple time period, after user pulls behavior, the data uploaded are from=20 & seek=40, representing that this user this time pulls behavior is by the position being dragged to 40 seconds from 20 of video, so, between explanation, the content of 20 seconds does not belong to the interested content of this user, again because this video carried out time division section with every 30 seconds, thus, carry out adding up to add 1 to second time period, in like fashion, record is carried out in the behavior that pulls of all users of this video of viewing A upload, and the behavior that pulls in different time sections is added up, the data uploaded finally can add up in each time period, until data reach a threshold values (when namely can form temperature curve), just temperature curve is as shown in Figure 4 generated, afterwards, corresponding temperature data are sent to the player in different clients by server, so that other user checks.
Because method part has been described in detail the embodiment of the present application, the expansion of the System and method for corresponding part related in embodiment is described omit here, repeat no more.Description for particular content in system can the content of reference method embodiment, no longer specifically limits here.
Also it should be noted that, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, commodity or system and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, commodity or system.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, commodity or the system comprising described key element and also there is other identical element.
It will be understood by those skilled in the art that the embodiment of the application can be provided as method, system or computer program.Therefore, the application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the application can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) of computer usable program code.
The foregoing is only the embodiment of the application, be not limited to the application.To those skilled in the art, the application can have various modifications and variations.Any amendment done within all spirit in the application and principle, equivalent replacement, improvement etc., within the right that all should be included in the application.
Claims (10)
1. video temperature is carried out to a method for curve processing, it is characterized in that, comprising:
After video is divided into the time period of multiple same time spacing according to the overall time that broadcasting scroll bar shows, add up the aggregate-value of the behavior that pulls of user in each described time period;
When the aggregate-value pulling behavior in section sometime described in user reaches default statistical threshold, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine the temperature point percentage value that each described time period is corresponding;
In the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature.
2. the method for claim 1, is characterized in that, using the broadcasting scroll bar of described video as axis of abscissas, the coordinate that formed as axis of ordinates of percentage value, is further:
Using the broadcasting scroll bar of described video as axis of abscissas, the coordinate that formed as axis of ordinates of percentage value, the percentage value that described axis of abscissas is corresponding with described axis of ordinates intersection location is 50%.
3. method as claimed in claim 2, it is characterized in that, in the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature, being further:
In the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and connect into the curve characterizing video temperature, being presented on the broadcasting scroll bar of described video.
4. method as claimed in claim 2, it is characterized in that, in the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, mark point corresponding to described temperature point percentage value and after connecting into the curve of sign video temperature, also comprise:
Described curve is preserved, when after the solicited message receiving the temperature curve obtaining this video, the broadcasting scroll bar of described video shows this curve.
5. the method as described in claim arbitrary in Claims 1-4, is characterized in that, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determines the temperature point percentage value that each described time period is corresponding to be further:
With this statistical threshold for dividend, carry out percentage statistics with the aggregate-value pulling behavior in each time period described in user for divisor, draw the non-temperature point percentage value that each described time period is corresponding;
The described non-temperature point percentage value drawn and positive integer 1 are subtracted each other, draws the temperature point percentage value that each described time period is corresponding.
6. method as claimed in claim 5, is characterized in that, also comprise:
When pulling behavior described in showing the described video generating described curve and being performed by user in playing process, record the time period that this pulls behavior generation, statistics characterizes the curve of the video temperature of described video again.
7. video temperature is carried out to a system for curve processing, be arranged in server, and couple mutually with player, it is characterized in that, this system comprises: monitoring accumulated unit, temperature point processing unit and curve generation unit, wherein,
Described monitoring accumulated unit, after video is divided into the time period of multiple same time spacing according to the overall time that broadcasting scroll bar shows, adds up the aggregate-value of the behavior that pulls of user in each described time period;
Described temperature point processing unit, when aggregate-value for pulling behavior in section sometime described in user reaches default statistical threshold, according to this statistical threshold and the aggregate-value pulling behavior in each time period described in user, determine that temperature point percentage value corresponding to each described time period is sent to described curve generation unit;
Described curve generation unit, in the coordinate formed as axis of ordinates as axis of abscissas, percentage value using the described overall time of described video, marks point corresponding to described temperature point percentage value and connects into the curve characterizing video temperature.
8. system of video temperature being carried out to curve processing as claimed in claim 7, it is characterized in that, described curve generation unit, is further used for:
Coordinate is formed as axis of abscissas, percentage value as axis of ordinates using the broadcasting scroll bar of described video, and the described axis of abscissas percentage value corresponding with axis of ordinates intersection location is 50%, point corresponding to described temperature point percentage value is marked and after connecting into the curve characterizing video temperature in described coordinate, described curve is preserved, when after the solicited message receiving the temperature curve obtaining this video, the broadcasting scroll bar of described video shows this curve.
9., as the system of video temperature being carried out to curve processing as described in arbitrary in claim 7 to 8, it is characterized in that, described temperature point processing unit, is further used for:
With this statistical threshold for dividend, carry out percentage statistics with the aggregate-value pulling behavior in each time period described in user for divisor, draw the non-temperature point percentage value that each described time period is corresponding;
The described non-temperature point percentage value drawn and positive integer 1 are subtracted each other, draws the temperature point percentage value that each described time period is corresponding.
10. as claimed in claim 9 system of video temperature being carried out to curve processing, is characterized in that, described monitoring accumulated unit, also for:
When pulling behavior described in showing the described video generating described curve and being performed by user in playing process, record the time period that this pulls behavior generation, statistics characterizes the curve of the video temperature of described video again.
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