CN115150668A - Video prompting method, device, equipment and computer storage medium - Google Patents
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
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- H04N21/47—End-user applications
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Abstract
The embodiment of the invention relates to the technical field of computer data processing, and discloses a video prompting method, which comprises the following steps: respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interest degree of a user in performing interactive behaviors on the video; determining a target prompt point from the time points according to the behavior heat; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition; inserting prompt information at the target prompt point to obtain a processed video; and displaying the processed video. Through the mode, the embodiment of the invention improves the user experience of video prompt.
Description
Technical Field
The embodiment of the invention relates to the technical field of computer data processing, in particular to a video prompting method, a video prompting device, video prompting equipment and a computer storage medium.
Background
When the content is displayed, the user can be prompted to interact through reasonable prompt, and therefore the interaction rate and the user experience of the user are improved.
The inventor of the invention finds out that in the process of implementing the embodiment of the invention: the existing video prompting method has the problems that the current watching behavior of a user can be disturbed, and the immersive experience of the user is damaged.
Disclosure of Invention
In view of the foregoing problems, embodiments of the present invention provide a video prompting method, which is used to solve the problem in the prior art that the user experience of video prompting is not good.
According to an aspect of an embodiment of the present invention, there is provided a video cue method, including:
respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interest degree of a user in performing interactive behaviors on the video;
determining a target prompt point from the time points according to the behavior heat; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
inserting prompt information at the target prompt point to obtain a processed video;
and displaying the processed video.
In an optional manner, the method further comprises:
determining selectable prompt points and corresponding heat degree change smoothness from the time points according to the behavior heat degree; the heat degree change smoothness is used for representing the intensity degree of the behavior heat degree change of the user;
and determining the selectable prompt point which is positioned at a front preset position after the heat change smoothness is sorted in an ascending order as the target prompt point.
In an optional manner, the method further comprises:
and arranging the time points according to the descending order of the behavior heat degree, and determining the time points of preset bits before arrangement as the selectable prompt points.
In an optional manner, the method further comprises:
determining the predicted behavior heat of the selectable cue points;
determining a smoothness relative error and a smoothness absolute error corresponding to the selectable prompt point according to the behavior heat and the predicted behavior heat;
determining the smoothness of heat change according to the smoothness relative error and the smoothness absolute error.
In an optional manner, the method further comprises:
and carrying out weighted summation processing on the actual behavior data quantity and the predicted behavior data quantity of the last time point adjacent to the selectable prompt point to obtain the predicted behavior heat.
In an optional mode, the number of the selectable cue points is multiple; the method further comprises the following steps:
determining a difference value of the behavior heat degree between the optional prompt points;
when the difference value is smaller than a first threshold value, determining the target cue point from the selectable cue points according to the heat degree change smoothness;
and when the difference is larger than or equal to a second threshold value, determining the target prompt point from the selectable prompt points according to the behavior heat of the time point.
In an optional manner, the method further comprises:
when the difference value is larger than the second threshold value, determining the selectable prompt point with the maximum behavior heat degree as a heat degree central point;
and determining the time point adjacent to the heat central point as the target prompt point.
According to another aspect of the embodiments of the present invention, there is provided a video prompting apparatus, including:
the first determining module is used for respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interest degree of a user in performing interactive behaviors on the video;
the second determining module is used for determining a target prompt point from the time points according to the behavior heat degree; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
the insertion module is used for inserting prompt information at the target prompt point to obtain a processed video;
and the display module is used for displaying the processed video.
According to another aspect of the embodiments of the present invention, there is provided a video cue device, including:
the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction which causes the processor to execute the operation of the video prompting method.
According to a further aspect of the embodiments of the present invention, there is provided a computer-readable storage medium having at least one executable instruction stored therein, the executable instruction causing a video-alerting device to perform the operations of the video-alerting method according to any one of the above aspects.
The method comprises the steps of respectively determining behavior heat of each time point according to user behavior data of a plurality of time points of a video, representing the atmosphere environment of the video watched by a user by acquiring the behavior heat of other users during video playing, and then determining the change condition of the behavior heat of each time point according to the behavior heat, wherein the change condition can be the intensity of change, the more intense the change of the behavior heat indicates that the change degree of the behavior mode of the user is larger, and a fault of attention can appear, such as comment making or forwarding and sharing and the like from the video watching, or conversely, the less intense the change of the heat indicates that the change of the behavior quantity of the user is less, namely, the user is more likely to be in immersive watching; determining a target prompt point with a change condition meeting a preset condition from time points according to the behavior heat and the change condition of the behavior heat, wherein the preset condition can be that the severity of the characteristic change is less than a certain threshold value; finally, inserting prompt information at the target prompt point to obtain a processed video; the processed video is displayed, so that the method is different from the prior art that prompt is directly carried out according to the playing progress or the playing time, the immersive watching experience of a user can be interrupted, and the prompt time cannot optimally prompt the user to interact according to the prompt.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a video prompting method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a video cue method according to still another embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a relationship between a data amount and a time point in a video cue method according to still another embodiment of the present invention;
FIG. 4 is a diagram illustrating types of cues in a video cue method according to yet another embodiment of the invention;
FIG. 5 is a schematic structural diagram of a video prompt apparatus according to an embodiment of the present invention;
fig. 6 shows a schematic structural diagram of a video prompt apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.
FIG. 1 illustrates a flow chart of a video hinting method, performed by a computer processing device, according to an embodiment of the invention. The computer processing device may include a cell phone, a notebook computer, etc. As shown in fig. 1, the method comprises the steps of:
step 10: respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interestingness of the user in interactive behaviors aiming at the video.
In one embodiment of the invention, the user behavior data corresponds to historical users watching the video. The user behavior data can comprise data corresponding to various behavior types such as user comments, barrage sending, sharing, praise, forwarding and @ and the like. The behavior heat is used for representing the interest degree of the user in performing the interactive behavior at each time point, specifically, the greater the interest degree of performing the interactive behavior is, the greater the engagement degree of the user in interacting with the video is, that is, when the interest degree of the user in interacting is higher, the greater the probability of the user behavior, that is, the greater the data volume or the occurrence frequency of the user behavior data is.
The behavior heat can be determined according to the quantity and/or frequency of the user behavior data, such as the quantity of user comments or the quantity of barrages sent by the user. The behavior heat may also be determined from the total amount or average frequency of behavior data for at least two of the aforementioned multiple behavior types.
Step 20: determining a target prompt point from the time points according to the behavior heat degree; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition.
In one embodiment of the invention, in order that the prompting action on the target prompt point does not interrupt the immersive experience of the user, the change of the attention of the user can be determined according to the change of the behavior heat, specifically, the change of the behavior heat can comprise heat change smoothness, and the heat change smoothness is used for representing the intensity of the change of the behavior heat. The greater the smoothness of the heat change, the less drastic the change in the heat of behavior that characterizes the user, and therefore the user has a greater probability of being in an immersive viewing process, while the lesser the smoothness of the heat change, the more likely the user will have a shift in interactive interest, i.e., a transition from one mode of interactive behavior to another, such as a change in the user's attention. Specifically, the degree of heat change smoothness may be determined according to the change of the degree of heat of the behavior respectively corresponding to each of the adjacent time points.
And screening the time points according to the heat change smoothness, and determining the time points with relatively small heat change smoothness as target prompt points, wherein the time points with relatively small heat change smoothness represent that the user has the transition of an interactive behavior mode, and the attention of the user may have a fault, so that the user is in immersive experience with small probability, and at the moment, if the user is reminded, the watching experience of the user is not interrupted, and the user experience is better.
Step 201: and determining selectable prompt points and corresponding heat degree change smoothness from the time points according to the behavior heat degree. The popularity variation smoothness is used for representing the intensity of the behavior popularity variation of the user.
In an embodiment of the present invention, considering that a time point with a low activity popularity generally corresponds to a video frame with low user attention and low interaction interest, and therefore, prompting at the time point does not well promote the user to generate an interaction activity, a time point with an activity popularity greater than a preset threshold value in all time points may be screened out as an optional prompt point, so as to further determine a target time point for actually performing an interaction according to the optional prompt point.
The heat change smoothness is used to characterize the severity of the change in the heat of behavior. The greater the smoothness of the heat change, the less drastic the change in the heat of behavior that characterizes the user, and therefore the user has a greater probability of being in an immersive viewing process, while the lesser the smoothness of the heat change, the more likely the user will have a shift in interactive interest, i.e., a transition from one mode of interactive behavior to another, such as a change in the user's attention. Therefore, the degree of heat change smoothness can be determined according to the change situation of the behavior heat corresponding to each adjacent time point.
Step 202: and determining the selectable prompt point which is positioned at a front preset position after the heat change smoothness is sorted in an ascending order as the target prompt point.
In an embodiment of the present invention, as described above, the smoothness of the heat change represents that the user has a transition of an interactive behavior mode, and the attention of the user may have a fault, so that the user has a low probability of being in an immersive experience. Therefore, the selectable time point of the minimum preset bit before the heat degree change smoothness can be determined as the target cue point.
In yet another embodiment of the present invention, step 20 further comprises:
step 203: and arranging the time points according to the descending order of the behavior heat degree, and determining the time points of preset bits before arrangement as the selectable prompt points.
In an embodiment of the invention, the behavior heat reflects the interaction interest of the user, and the greater the behavior heat, the more intense the interaction atmosphere of the user group at the time point is, so that the reminding is performed at the time point, the current user can be added into the interaction behavior trend of the public, the interaction probability of the user is improved, and under the drive of the addition of the interaction behavior trend, the user interaction has a higher probability to receive the feedback of other users, and the user experience is better.
In one embodiment of the present invention, step 20 further comprises:
step 202: and determining the predicted behavior heat of the selectable cue points.
In one embodiment of the invention, the predicted behavior heat is used to characterize the behavior heat in the ideal case of the selectable cue point, i.e. when no change occurs in the behavior heat. The predicted behavior heat may be a preset value or may be determined according to an average value of the behavior heat at all time points.
Thus, in a further embodiment of the present invention, step 202 further comprises:
step 2021: and carrying out weighted summation processing on the actual behavior data quantity and the predicted behavior data quantity of the last time point adjacent to the selectable prompt point to obtain the predicted behavior heat.
In one embodiment of the present invention, the preset initial smoothness may be used as a weighted sum. Specifically, for each optional prompt point t, its corresponding predicted behavior heat y t Can be expressed as: y is t ＝ax t +(1-a)y t-1 Wherein a is the initial smoothness, x t Is the actual behavior data volume at time t.
Step 203: and determining a smoothness relative error and a smoothness absolute error corresponding to the selectable prompt point according to the behavior heat and the predicted behavior heat.
In one embodiment of the invention, the smoothness absolute error is used to characterize the sum of the prediction errors of all selectable cue points, wherein the prediction error of a single selectable cue point may be the difference between the predicted behavior heat and the behavior heat. And the smoothness relative error is used for representing the sum of the prediction errors of all the selectable cue points after the prediction errors of the behavior heat between the adjacent selectable cue points are mutually offset.
Specifically, the differences between the prediction errors of adjacent selectable cue points in the smoothness relative error may cancel each other out in the calculation of the total error, and in order to make the differences between the prediction errors of adjacent selectable cue points in the smoothness absolute error not cancel out in the calculation of the total error, the differences between the prediction errors of every two selectable cue points may be calculated by taking the absolute value of the differences and then summing the absolute values.
Thus, in yet another embodiment of the invention, smoothness at time tAbsolute error M t Can be expressed as:
wherein beta is a preset adjusting parameter which can be 0.1 to 0.2; e.g. of a cylinder t Indicating the prediction error at time t, e t ＝x t -y t 。
Smoothness relative error E at time t t Can be expressed as:
E t ＝βe t +β(1-β)e t-1 +β(1-β) 2 e t-2 +…+β(1-β) t-1 e 1
i.e. E t ＝βe t +(1-β)E t-1 ；M t ＝βe t+1 +(1-β)M t-1 ；
Wherein t is a natural number greater than 1; y is 1 ＝x 1 ；y 2 ＝x 1 ；e 1 ＝0；E 1 ＝0。
Step 204: determining the smoothness of the heat change according to the smoothness relative error and the smoothness absolute error.
In one embodiment of the invention, the smoothness of the heat change may be determined based on a proportional value between an absolute value of an absolute error of the smoothness and a relative error of the smoothness.
I.e. the heat change smoothness a at time t t Can be expressed as:
ratio value a t The larger the absolute error of the smoothness is relative to the relative error of the smoothness, the larger the degree of mutual cancellation of the prediction errors between the selectable cue points is, and therefore, the smoother the heat change between the selectable cue points is, i.e., the smoothness of the heat change is larger as a whole.
Step 30: and determining a target cue point from the selectable cue points according to the heat degree change smoothness.
In an embodiment of the present invention, the number of the selectable cue points is multiple, and in order to not interrupt the immersive viewing experience of the user, the selectable cue points with small smoothness of the heat change may be selected as the target cue points, that is, when the user has a change in the interaction behavior pattern, the prompt is timely performed, so that the attention of the user can be attracted, and the occurrence probability of the interaction is improved.
Thus, step 30 further comprises: step 301: determining a difference in the activity heat between the selectable cue points.
In one embodiment of the invention, besides considering the change of the interactive interest of the user represented by the smoothness of the heat change, so as to avoid interrupting the immersive experience of the user due to reminding, the interactive behavior trend of most users can be considered, namely, when most users perform interactive behaviors, the users are prompted to perform the interactive behaviors, so that the users are prompted to follow the general psychology to perform the interactive behaviors.
Therefore, whether the difference of the behavior heat degrees corresponding to the selectable prompt points is large or not can be determined, namely whether a selectable time point with stronger interaction atmosphere exists or not and at which most users perform interaction behaviors is determined, and if yes, reminding is performed at the time point.
Step 302: when the difference is smaller than a first threshold value, the target cue point is determined from the selectable cue points according to the heat degree change smoothness.
In an embodiment of the invention, when the difference is smaller than the first threshold, it indicates that the behavior heat of the selectable prompt point is relatively close, that is, the interaction interestingness corresponding to the selectable prompt point is similar, and there is no time point when the mutual atmosphere is relatively strong, which can prompt the user, so that the user can select from the behavior heat according to the behavior heat change smoothness, thereby avoiding the interference on the immersive watching experience of the user. Specifically, after the smoothness of the heat change is arranged in an ascending order, the selectable cue point of the preset bit before arrangement may be determined as the target cue point. Optionally, the selectable cue point with the smallest degree of smoothness of the heat variation can be selected as the target cue point.
Thus, in one embodiment of the present invention, step 302 further comprises:
step 3021: and when the difference value is smaller than the first threshold value, arranging the selectable cue points in an ascending order of the heat change smoothness, and determining the selectable cue points of preset bits before arrangement as the target cue points.
In one embodiment of the invention, after all the selectable cue points are arranged according to the ascending order of the illumination heat degree change smoothness, the selectable cue points of the front preset bits arranged in the ascending order are determined as the target cue points, so that the interference on the immersive watching experience of the user is avoided. Optionally, the selectable cue point with the smallest heat variation smoothness may be determined as the target cue point.
Step 303: and when the difference is larger than or equal to a second threshold value, determining the target prompt point from the selectable prompt points according to the behavior heat of the time point.
In one embodiment of the invention, the second threshold may be the same as the first threshold. When the difference is larger than or equal to the second threshold, the behavior heat degree difference between the selectable prompt points is large, namely, the interaction interestingness corresponding to some selectable prompt points is higher than that of other selectable prompt points, and the selectable prompt points with higher interaction interestingness can reflect a climax atmosphere of the user participating in the interaction. Therefore, a selectable time point with the maximum interaction interest of the user can be selected as a target prompt point, and the user is prompted to interact through the interaction climax atmosphere of most users.
Thus, in yet another embodiment of the present invention, step 303 further comprises:
step 3031: when the difference value is larger than the second threshold value, determining the selectable prompt point with the maximum behavior heat degree as a heat degree central point.
In one embodiment of the invention, the selectable cue point with the greatest degree of activity represents the climax of the interactive activity of most users, and therefore can be taken as the center point of the degree of activity.
Step 3032: and determining the time point adjacent to the heat central point as the target prompt point.
In one embodiment of the invention, the heat center point represents the center of the climax of the user's participation in the interactive activity, so that the user can be prompted at a time point near the center of the climax to prompt the user that most other users are about to or are interacting, and the user is prompted to participate in the interactive climax by the crowd psychology.
Step 40: and inserting prompt information at the target prompt point to obtain a processed video.
In an embodiment of the invention, the prompt information is inserted into the video frame corresponding to the target prompt point to obtain the processed video. Wherein the number of prompt messages, prompt types, priorities, etc. are first determined. The number of the prompt messages is generally not suitable to be too large, 1-3 types of prompt messages can be set, the trigger types comprise comments, praise, coin insertion and sharing, and the priority can be determined according to business requirements.
Specifically, the determination process of the prompt type may be as follows: determining time points and behavior contents corresponding to various types of behaviors in the user behavior data, wherein the behavior contents can comprise comments and text contents of barrage, and can also be video information, such as video tags, video lines and the like. And finally, determining the corresponding behavior type as a prompt type according to the behavior content on the target prompt point.
In another embodiment of the present invention, natural language processing and semantic analysis may be further performed on the user behavior data corresponding to the target prompt point to obtain a semantic analysis result, where the semantic analysis result may include, for example, a bullet screen and comment semantics corresponding to the target prompt point; and when the semantics comprise the semantic information corresponding to the preset interaction type, such as praise, forwarding/sharing, one-key triple connection and the like, determining the interaction type corresponding to the included semantic information as the prompt type of the prompt information.
Step 50: and displaying the processed video.
In one embodiment of the invention, an interaction control or identifier may be displayed at the target cue point in the processed video, thereby prompting the user to interact there.
Specifically, when the same behavior is triggered, the triggered prompt can not be repeated in the video. When the prompt contact is triggered, the icon needing to be prompted displays a prompt dynamic effect which can be GIF, animation or sound and the like. The prompt action can be a fixed duration, and can also be adjusted according to the data quantity corresponding to the contact. If the difference between the data quantity and the average data quantity of all the time points is larger, the time length for prompting the point is longer. If the original prompt effect duration is T, the corrected duration T Repair the = (MAX (x) -AVER (x))/AVER (x) × (1+T); wherein x is the data number corresponding to one time point, MAX (x) is the maximum value of the average values of the data numbers corresponding to all time points, and AVER (x) is the average value of the data numbers corresponding to all time points.
In yet another embodiment of the present invention, the process of video hinting can be referred to FIG. 2.
As shown in fig. 2, step a: and determining the optimal prompt point according to data such as user comments, barrage and the like.
According to a fixed time interval, user comment and barrage quantity data of each playing progress time point of the video are obtained, optionally, user behavior data such as sharing, forwarding, and barrage can be obtained, but the comment and the barrage are representative, and therefore the two types of behavior data are taken as an example. The number of the two types of behaviors, namely the bullet screen and the comment, can be calculated in a combined mode or in a separated mode. The corresponding relationship between the time point and the data quantity obtained by combining and calculating the behavior data quantities of the barrage and the comments can refer to fig. 3.
Taking the data quantity in the figure 3 as behavior heat, sequencing the behavior heat from high to low, respectively acquiring the first n data and corresponding time points, and when n is 3, acquiring the first 3 data and corresponding time points of the following data, wherein the data are respectively as follows:
01.
Then, respectively determining corresponding heat change smoothness for time points n before the behavior heat ranking, wherein the calculation process of the heat change smoothness can be as follows:
firstly, numbering time sequences formed by all time points according to a time sequence to obtain a time sequence t, wherein t is a natural number.
Setting the total number of the barrage and the comments as x, and taking the x as the actual behavior data volume corresponding to the time point;
setting an initial smoothing index as a;
if the predicted behavior heat is y, then y t ＝ax t +(1-a)y t-1 ；
Setting the initial parameter value as beta, and the value range of the beta is (0.1-0.2);
the prediction error of the smoothness of the heat change at time t is e t Then e t ＝x t -y t And taking a weighted average value of the prediction errors of all the time points t to obtain:
absolute error M of smoothness at time t t Can be expressed as
Smoothness relative error E at time t t Can be expressed as:
E t ＝βe t +β(1-β)e t-1 +β(1-β) 2 e t-2 +…+β(1-β) t-1 e 1
i.e. E t ＝βe t +(1-β)E t-1 ；M t ＝βe t+1 +(1-β)M t-1 ；
Wherein t is a natural number greater than 1; y is 1 ＝x 1 ；y 2 ＝x 1 ；e 1 ＝0；E 1 ＝0。
I.e. the heat change smoothness a at time t t Can be expressed as:
such as: time point 01 10 ＝|E 10 |/M 10 ＝|βe 10 +(1-β)E 9 |/β|e 10 |+(1-β)M 9 。
And determining whether the data difference value between N data before the data quantity ranking is smaller than N%, and if so, taking the time point corresponding to the data pair corresponding to the minimum value of the heat change smoothness as the optimal prompt point. And if the values of the heat change smoothness of the first n data are the same, sequentially selecting the data from left to right according to the time axis.
TABLE 1
As with reference to table 1, ranked by data size in the order t10> t9> t6, the size relationship between the corresponding data quantities is: 38>37>33, the difference of the data amounts between the three <10% is illustrated here with 10% as a threshold value, and the smoothness of the heat change corresponding to each of the three is 0.9,0.1,0.1
There are two minimum values, respectively: t9 corresponds to 0.1; t6 corresponds to 0.1, so that t9 is determined as the best cue point, i.e., in left-to-right order.
Alternatively, the time point at which the data amount of the time point adjacent to the time point is maximum may be determined as the optimal cue point.
Such as: adjacent points of t10 are t9 and t11, respectively, and the corresponding data quantities are 37 and 27, respectively;
adjacent points of t9 are t8 and t10, respectively, and the corresponding data quantity is 17 and 38;
the adjacent points of t6 are t5 and t7 respectively, and the corresponding data quantity is 27,9 respectively;
it can be seen that t9 is the best cue point if the number of data of the neighboring point of t9 is the largest and 38.
In addition to the above method, the time point corresponding to the maximum data amount may be directly used as the optimum cue point. Such as: t10.
It should be noted that there may be a plurality of optimal cue points, or there may be only one optimal cue point. Depending on how many different prompts need to be provided to the user.
And B: and determining the prompt content and the prompt type corresponding to the optimal prompt point.
In step a, three optimal contacts, t9, t10, and t6, are identified.
And inserting prompt information into the video frame corresponding to the target prompt point to obtain a processed video. Wherein, firstly, the number, the prompt type, the priority and the like of the prompt messages are determined. The number of the prompt messages is not suitable for being too large generally, the prompt messages can be set to be 1-3 types, the triggering types comprise comments, praise, coin insertion and sharing, and the priority can be determined according to business requirements.
Specifically, the determination process of the prompt type may be as follows: determining time points and behavior contents corresponding to various types of behaviors in the user behavior data, wherein the behavior contents can comprise comments and text contents of barrage, and can also be video information, such as video tags, video lines and the like. And finally, determining the corresponding behavior type as a prompt type according to the behavior content on the target prompt point.
Natural language processing and semantic analysis can be further performed on the user behavior data corresponding to the target prompt point to obtain a semantic analysis result, and the semantic analysis result can include a bullet screen and comment semantics corresponding to the target prompt point; and when the semantics comprise the semantic information corresponding to the preset interaction type, such as praise, forwarding/sharing, one-key triple connection and the like, determining the interaction type corresponding to the included semantic information as the prompt type of the prompt information.
And C: and prompting at the target prompt point according to the prompt content and the prompt type.
An interaction control or identifier may be displayed at the target cue point in the processed video, thereby prompting the user to interact there. Wherein, the target cue point is the best cue point mentioned in the steps A and B.
Specifically, when the same behavior is triggered, the triggered prompt can not be repeated in the video. When the prompt contact is triggered, the icon needing to be prompted displays a prompt dynamic effect which can be GIF, animation or sound and the like. The prompt action can be a fixed duration, and can also be adjusted according to the data quantity corresponding to the contact. If the difference between the data quantity and the average data quantity of all the time points is larger, the prompting time length for the point is longer. If the original prompt effect duration is T, the corrected duration T Repair the = (MAX (x) -AVER (x))/AVER (x) × (1+T); wherein x is the data quantity corresponding to one time point, MAX (x) is the maximum value of the average values of the data quantities corresponding to all the time points, and AVER (x) is the average value of the data quantities corresponding to all the time points.
The method comprises the steps of respectively determining behavior heat of each time point according to user behavior data of a plurality of time points of a video, representing the atmosphere environment of the video watched by a user by acquiring the behavior heat of other users during video playing, and then determining the change condition of the behavior heat of each time point according to the behavior heat, wherein the change condition can be the intensity of change, the more intense the change of the behavior heat indicates that the change degree of the behavior mode of the user is larger, and a fault of attention can appear, such as comment making or forwarding and sharing and the like from the video watching, or conversely, the less intense the change of the heat indicates that the change of the behavior quantity of the user is less, namely, the user is more likely to be in immersive watching; determining a target prompt point with a change condition meeting a preset condition from time points according to the behavior heat and the change condition of the behavior heat, wherein the preset condition can be that the severity representing the change is less than a certain threshold; finally, inserting prompt information at the target prompt point to obtain a processed video; the processed video is displayed, so that the method is different from the prior art that prompt is directly carried out according to the playing progress or the playing time, the immersive watching experience of a user can be interrupted, and the prompt time cannot optimally prompt the user to interact according to the prompt.
Fig. 5 is a schematic structural diagram illustrating a video prompting apparatus according to an embodiment of the present invention. As shown in fig. 5, the apparatus 60 includes: a first determination module 601, a second determination module 602, an insertion module 603, and a presentation module 604.
The first determining module 601 is configured to determine behavior heat of each time point according to user behavior data at multiple time points of a video; the behavior heat is used for representing the interestingness of the user in interactive behaviors aiming at the video;
a second determining module 602, configured to determine a target prompt point from the time points according to the behavior heat; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
an inserting module 603, configured to insert a prompt message at the target prompt point to obtain a processed video;
a display module 604, configured to display the processed video.
The operation process executed by the video prompting device provided by the embodiment of the invention is substantially the same as that of the method embodiment, and is not repeated.
The video prompting device provided by the embodiment of the invention respectively determines the behavior heat of each time point according to the user behavior data of the video at a plurality of time points, represents the atmosphere environment of the video watched by the user by acquiring the behavior heat of other users when the video is played, and then determines the change condition of the behavior heat at each time point according to the behavior heat, wherein the change condition can be the intensity of change, the more intense the behavior heat change is, the larger the change degree of the behavior mode of the user is, faults of attention can appear, such as comment publishing or forwarding and sharing from the video watching, and the less intense the heat change is, the less the change of the behavior quantity representing the user is, namely, the user is more likely to be in immersion type watching; determining a target prompt point with a change condition meeting a preset condition from time points according to the behavior heat and the change condition of the behavior heat, wherein the preset condition can be that the severity representing the change is less than a certain threshold; finally, inserting prompt information at the target prompt point to obtain a processed video; the processed video is displayed, so that the method is different from the prior art that prompt is directly carried out according to the playing progress or the playing time, the immersive watching experience of a user can be interrupted, and the prompt time cannot optimally prompt the user to interact according to the prompt.
Fig. 6 is a schematic structural diagram of a video prompt apparatus according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the video prompt apparatus.
As shown in fig. 6, the video presenter device may include: a processor (processor) 702, a communication Interface 704, a memory 706, and a communication bus 708.
Wherein: the processor 702, communication interface 704, and memory 706 communicate with each other via a communication bus 708. A communication interface 704 for communicating with network elements of other devices, such as clients or other servers. The processor 702 is configured to execute the program 710, and may specifically execute the relevant steps in the embodiment of the video prompt method described above.
In particular, the program 710 may include program code comprising computer-executable instructions.
The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement an embodiment of the present invention. The video cue device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
The memory 706 stores a program 710. The memory 706 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Specifically, the program 710 may be invoked by the processor 702 to cause the video presenter device to perform the following operations:
respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interest degree of a user in performing interactive behaviors on the video;
determining a target prompt point from the time points according to the behavior heat; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
inserting prompt information at the target prompt point to obtain a processed video;
and displaying the processed video.
The operation process executed by the video prompting device provided by the embodiment of the invention is substantially the same as that of the method embodiment, and is not repeated.
The video prompting device provided by the embodiment of the invention respectively determines the behavior heat of each time point according to the user behavior data of the video at a plurality of time points, represents the atmosphere environment of the video watched by the user by acquiring the behavior heat of other users when the video is played, and then determines the change condition of the behavior heat at each time point according to the behavior heat, wherein the change condition can be the intensity of change, the more intense the behavior heat change is, the larger the change degree of the behavior mode of the user is, a fault of attention can appear, such as comment making or forwarding and sharing from the video watching, and the less intense the heat change is, the less the change of the behavior quantity representing the user is, namely, the user is more likely to be in an immersion type watching; determining a target prompt point with a change condition meeting a preset condition from time points according to the behavior heat and the change condition of the behavior heat, wherein the preset condition can be that the severity representing the change is less than a certain threshold; finally, inserting prompt information at the target prompt point to obtain a processed video; the processed video is displayed, so that the method is different from the method that in the prior art, prompt is directly carried out according to the playing progress or the playing time, the immersion watching experience of a user can be interrupted, and the prompt time cannot optimally prompt the user to carry out interaction according to the prompt.
An embodiment of the present invention provides a computer-readable storage medium, where the storage medium stores at least one executable instruction, and when the executable instruction is executed on a video prompt apparatus, the video prompt apparatus is enabled to execute a video prompt method in any method embodiment described above.
The executable instructions may be specifically configured to cause the video cue device to perform the following operations:
respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interest degree of a user in performing interactive behaviors on the video;
determining a target prompt point from the time points according to the behavior heat; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
inserting prompt information at the target prompt point to obtain a processed video;
and displaying the processed video.
The operation process of the executable instructions stored in the computer storage medium provided by the embodiment of the present invention is substantially the same as that of the method embodiment, and is not described again.
The executable instructions stored in the computer storage medium provided by the embodiment of the present invention respectively determine the behavior heat of each time point according to the user behavior data at multiple time points of a video, characterize the atmosphere environment of the video watched by the user by acquiring the behavior heat of other users when the video is played, and then determine the change condition of the behavior heat at each time point according to the behavior heat, where the change condition may be the intensity of change, and the more intense the behavior heat change is, the greater the change degree of the behavior pattern of the user is, a fault of attention may occur, such as comment making from video watching to comment making or forwarding and sharing, and the less intense the heat change is, the less the change of the behavior quantity of the user is characterized, that is, the user is more likely to be in immersive watching; determining a target prompt point with a change condition meeting a preset condition from time points according to the behavior heat and the change condition of the behavior heat, wherein the preset condition can be that the severity representing the change is less than a certain threshold; finally, inserting prompt information at the target prompt point to obtain a processed video; the processed video is displayed, so that the method is different from the prior art that prompt is directly carried out according to the playing progress or the playing time, the immersive watching experience of a user can be interrupted, and the prompt time cannot optimally prompt the user to interact according to the prompt.
The embodiment of the invention provides a video prompting device which is used for executing the video prompting method.
Embodiments of the present invention provide a computer program, where the computer program can be called by a processor to enable a video prompt apparatus to execute a video prompt method in any of the above method embodiments.
Embodiments of the present invention provide a computer program product, which includes a computer program stored on a computer-readable storage medium, where the computer program includes program instructions, and when the program instructions are run on a computer, the computer is caused to execute the video cue method in any of the above method embodiments.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limited to the order of execution unless otherwise specified.
Claims (10)
1. A method for video hinting, the method comprising:
respectively determining the behavior heat of each time point according to the user behavior data of the video at a plurality of time points; the behavior heat is used for representing the interestingness of the user in interactive behaviors aiming at the video;
determining a target prompt point from the time points according to the behavior heat; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
inserting prompt information at the target prompt point to obtain a processed video;
and displaying the processed video.
2. The method of claim 1, wherein determining a target cue point from the time points according to the behavior heat comprises:
determining selectable prompt points and corresponding heat degree change smoothness from the time points according to the behavior heat degree; the popularity variation smoothness is used for representing the intensity of the behavior popularity variation of the user;
and determining the selectable prompt point positioned at a front preset position after the heat degree change smoothness is sorted in an ascending order as the target prompt point.
3. The method of claim 2, wherein determining from the time points an optional cue point and corresponding smoothness of heat change based on the activity heat comprises:
and arranging the time points according to the descending order of the behavior heat degree, and determining the time points of preset bits before arrangement as the selectable prompt points.
4. The method of claim 2, wherein determining an optional cue point and corresponding heat change smoothness from the time points based on the activity heat comprises:
determining the predicted behavior heat of the selectable cue points;
determining a smoothness relative error and a smoothness absolute error corresponding to the selectable prompt point according to the behavior heat and the predicted behavior heat;
determining the smoothness of the heat change according to the smoothness relative error and the smoothness absolute error.
5. The method of claim 4, wherein determining the predicted behavior heat for the selectable cue point comprises:
and carrying out weighted summation processing on the actual behavior data quantity and the predicted behavior data quantity of the last time point adjacent to the selectable prompt point to obtain the predicted behavior heat.
6. The method of claim 2, wherein the number of selectable cue points is plural; before the optional cue point which is positioned at a front preset position after the ascending sorting of the heat degree change smoothness is determined as the target cue point, the method comprises the following steps:
determining a difference value of the behavior heat degree between the optional prompt points;
when the difference value is smaller than a first threshold value, determining the target cue point from the selectable cue points according to the heat degree change smoothness;
and when the difference is larger than or equal to a second threshold value, determining the target prompt point from the selectable prompt points according to the behavior heat of the time point.
7. The method according to claim 6, wherein the determining the target cue point from the selectable cue points according to the behavior heat of the time point when the difference is greater than or equal to a second threshold comprises:
when the difference value is larger than the second threshold value, determining the selectable prompt point with the maximum behavior heat degree as a heat degree central point;
and determining the time point adjacent to the heat central point as the target prompt point.
8. A video hinting apparatus, the apparatus comprising:
the first determining module is used for respectively determining the behavior heat of each time point according to the user behavior data on the multiple time points of the video; the behavior heat is used for representing the interest degree of a user in performing interactive behaviors on the video;
the second determining module is used for determining a target prompt point from the time points according to the behavior heat degree; the target prompt point comprises the time point when the change condition of the behavior heat degree meets a preset condition;
the insertion module is used for inserting prompt information at the target prompt point to obtain a processed video;
and the display module is used for displaying the processed video.
9. A video hinting apparatus comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform the operations of the video cue method according to any one of claims 1-7.
10. A computer-readable storage medium having stored therein at least one executable instruction that, when executed on a video hinting device, causes the video hinting device to perform operations of a video hinting method as recited in any one of claims 1-7.
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