CN105992015B - information processing method and device - Google Patents
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Abstract
The invention discloses an information processing method, which comprises the following steps: acquiring an operation of a user on a video to be predicted, wherein the video to be predicted is a video which is not online; determining the searching range of the video to be predicted according to the operation; obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring the video quality, and the target video is an online video; and estimating the quality of the video to be predicted by using the estimation parameter value of the target video to obtain an estimation result, and feeding the estimation result back to the user. The invention also discloses an information processing device.
Description
Technical Field
The present invention relates to video prediction technologies, and in particular, to an information processing method and apparatus.
Background
The quality of video content (video quality for short) directly affects the playing quantity of videos, namely directly affects the exposure of advertisements inserted in the videos, and the exposure of the advertisements is related to the income of the videos, so that the purchase of video copyright with good video quality is of great importance.
Currently, through the collection of exposure data of advertisement playing, the exposure amount of the advertisement and the revenue of the advertisement corresponding to each video purchased in the past can be obtained, wherein the revenue of the advertisement determines the revenue of the video. The advertising income condition of the video to be online can be well predicted by taking the cost and income of the video purchased in the past as references; however, at present, the cost information of the video is separately stored, for example, by a separate database, so that it is not possible to combine the income and cost of the video, and thus the cost and income of the video cannot be intuitively obtained, and the quality of the video to be online cannot be well predicted. Thus, in the current case, while the cost and advertising revenue per video can be made known to the decision maker, they do not look well integrated; moreover, copyright replacement and distribution among videos also bring certain difficulties for transversely comparing and analyzing the quality of each video.
Disclosure of Invention
in view of the above, embodiments of the present invention provide an information processing method and apparatus for solving at least one problem in the prior art, which can quickly predict the quality of a video to be online, thereby improving the profit.
The technical scheme of the embodiment of the invention is realized as follows:
In a first aspect, an embodiment of the present invention provides an information processing method, where the method includes:
Acquiring an operation of a user on a video to be predicted, wherein the video to be predicted is a video which is not online;
Determining the searching range of the video to be predicted according to the operation;
Obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring the video quality, and the target video is an online video;
And estimating the quality of the video to be predicted by using the estimation parameter value of the target video to obtain an estimation result, and feeding the estimation result back to the user.
In a second aspect, an embodiment of the present invention provides an information processing apparatus, including a first acquisition unit, a determination unit, a second acquisition unit, and a processing unit, wherein:
the first obtaining unit is used for obtaining the operation of a user on a video to be predicted, wherein the video to be predicted is a video which is not online;
the determining unit is used for determining the searching range of the video to be predicted according to the operation;
the second obtaining unit is used for obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring the video quality, and the target video is an online video;
And the processing unit is used for estimating the quality of the video to be predicted by using the estimation parameter value of the target video to obtain an estimation result, and feeding the estimation result back to the user.
according to the information processing method and device provided by the embodiment of the invention, the operation of a user on a video to be predicted is obtained, wherein the video to be predicted is a video which is not online; determining the searching range of the video to be predicted according to the operation; obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring the video quality, and the target video is an online video; and estimating the quality of the video to be predicted by using the estimation parameter value of the target video to obtain an estimation result, and feeding the estimation result back to the user, so that the quality of the video to be online can be predicted quickly, and the benefit is improved.
Drawings
FIG. 1-1 is a schematic flow chart illustrating an implementation of an information processing method according to an embodiment of the present invention;
FIGS. 1-2 are schematic diagrams of a user presented in an implementation of an embodiment of the invention;
FIG. 2 is a schematic flow chart of an implementation of a second information processing method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an implementation flow of a third information processing method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a flow chart of a fourth information processing method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a fifth exemplary embodiment of an information processing apparatus;
FIG. 6 is a schematic diagram of a sixth exemplary embodiment of an information processing apparatus;
FIG. 7 is a schematic diagram of a seventh exemplary embodiment of an information processing apparatus;
FIG. 8-1 is a first flowchart illustrating copyright replacement according to an embodiment of the present invention;
Fig. 8-2 is a flowchart illustrating a copyright replacement process according to an embodiment of the present invention.
Detailed Description
In view of the above-mentioned problems described in the background art, in the following embodiments of the present invention, a decision-maker is helped to figure out the good and bad conditions of the previously purchased copyright from the viewpoint of video quality, so as to facilitate some horizontal comparisons, and further help the decision-maker to pre-judge the good and bad conditions of the new copyright and determine whether the video should be on-line. It should be noted that, online video refers to putting a prepared video on a video playing platform of a video operator, and opening to a user to enable the user to watch the video through a network. The video quality can be described in many aspects, for example, the quality in dynamic video transmission is mainly described by two parameters of frame number per second (f/s) and resolution of each image; the quality of the video display can be described in terms of whether the image is blurred or not, whether the image is normal in color, whether stripe interference and snowflake interference exist or not, and the like; in other words, the return on investment is only a weighted value describing the video quality, the return on investment is mainly the amount of cost for viewing the video and the amount of advertising revenue that the video can bring, specifically, the video quality mainly refers to the ratio of video income to video cost, wherein the video income is also called copyright income, and the video cost is also called copyright cost.
the technical scheme provided by the following embodiment of the invention comprises the following steps: the target video is obtained through the video to be online, the quality of the video to be online is predicted through analysis of the video quality of the target video, and accordingly, a user can conveniently judge whether the video to be predicted is worth online, and online work of the video is guided. Specifically, parameters such as the Investment insurance Rate (ROI) of the online video are obtained by analyzing historical data of the online video, and then the quality of the online video is determined according to the relation between the online video and the online video, so that a user can conveniently judge whether the online video is worth predicting.
here, the video to be online may be referred to as a video to be predicted, and the video to be online includes an unpurchased video, or a video which is not invested to be homemade, and the like; videos which are online and have similar attributes with the videos to be predicted are called target videos, namely videos which have similar attributes with the videos to be predicted, namely videos which have a certain relation with the videos to be predicted.
Here, the quality of the video to be online is at least related to the return on investment, and the historical data includes attribute information of the video, including a producer, a director level, an actor level, a drama level, a category (video category for short), an episode number, duration, a video channel, and cost information and income information of the video.
in the following embodiments of the present invention, video online includes a process of showing video on a video playing platform through three ways of video purchase, video self-making and video replacement, wherein: video purchasing refers to purchasing videos made by other producers, and generally, purchasing videos means purchasing copyrights of videos; the video self-making means that the video self-making is used as a video production party to carry out investment shooting on the video so as to obtain video copyright; the video replacement means that the own video copyright is replaced by other video copyright, so that both sides can achieve the purpose of enriching own video platform episode.
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
Example one
the embodiment of the invention provides an information processing method, which is applied to electronic equipment, wherein the electronic equipment comprises a notebook computer, a personal computer, a smart phone, a server and other equipment; it is seen that the electronic device includes at least a processor and a storage medium. The information processing method provided by the embodiment of the invention can be displayed to a user in a form of software program Application (APP) in the specific implementation process.
Fig. 1-1 is a schematic flow chart of an implementation of an information processing method according to an embodiment of the present invention, as shown in fig. 1-1, the information processing method includes:
101, acquiring an operation of a user on a video to be predicted, wherein the video to be predicted is a video which is not online;
Here, the user may be a decision maker or a worker who introduces the video copyright, or may be a decision maker or a worker who makes the video copyright.
Step 102, determining the searching range of the video to be predicted according to the operation;
Here, the search range includes one search parameter or a combination of more than one search parameter, and in the embodiment of the present invention, the search parameter is at least any one of the following information: budget year, video category, director rating, actors, actor rating, transcript quality, producer, production company, video channel, copyright provider, copyright start time, copyright budget year, copyright deadline, rating of copyright content, whether to broadcast alone, affiliated channel, content category, production area, etc. The budget occupation year is the budget of the year to which the cost of the video is, and generally, if the budget occupation year of a certain video is a certain year, the video is played in the year, for example, the budget occupation year of the comprehensive program "i am singer 2" is 2014, and the comprehensive program "i am singer 2" is also played in 2014 generally. When the search range includes two parameters of the director and the affiliated channel, wherein the director is a zhangyezhu, and the affiliated channel is a movie, the search range is as follows: the zhang artist consummates all the movies directed by the director.
103, obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring the video quality, and the target video is an online video;
And 104, estimating the quality of the video to be predicted by using the estimation parameter value of the target video to obtain an estimation result, and feeding the estimation result back to the user.
Here, continuing with the example in step 102, assume that the search range is: the zhang artists collude all movies directed by the director, then the target videos are: the zhang artist consummates all the movies directed by the director. Assuming that the target video includes 5 movies in total, namely, the movie ZYM1, the movie ZYM2, the movie ZYM3, the movie ZYM4, and the movie ZYM5, estimated parameter values of the 5 movies are obtained, respectively.
Here, the estimated parameter value may be expressed by a return on investment, or may be expressed by a return on investment and a click rate VV. When the estimated parameter value is expressed by the return on investment rate, and the estimated parameter value is the value of the investment insurance rate, the return on investment rate is the ratio of the video income to the video cost, so when the value of the return on investment rate is equal to 1, the video income is equal to the video cost; when the value of the return on investment is greater than 1, the video income is greater than the video cost, in other words, the video is earning money; when the return on investment value is less than 1, the video revenue is less than the video cost, in other words, the video is lost money.
when the estimated parameter value is expressed by the return on investment rate and the click rate, the estimated parameter value Y is a function of the return on investment rate RIO and the click rate; for example, the estimated parameter value Y is a constant a × ROI + a constant b × VV, where the constants a and b are to make the return on investment and the click rate in the same order of magnitude; in the specific implementation process, the investment insurance rate and the click rate may be normalized, then the constant a is 0.5, the value range of the estimated parameter value is between (0,1), the closer the estimated parameter value is to 1, the better the video quality of the target video is, the closer the estimated parameter value is to 0, the worse the video quality of the target video is, and then the estimated parameter value is returned to the user.
The technical solution provided by the embodiment of the present invention can be used in the following scenarios, and fig. 1-2 are schematic diagrams displayed to a user during implementation of the embodiment of the present invention, and after obtaining estimated parameter values of target videos, the copyrights of the target videos can be intuitively put together for comparison and display, in this example, the estimated parameter values can be represented by investment meeting. By acquiring user operations, the search range that can be determined is two search parameters of a video channel and a budget occupation year, wherein the video channel is a general program and the budget occupation year is 2014, and the list shown in fig. 1-2 lists part of target videos, which includes ten columns in total, roughly including a copyrighted content name, cumulative play VV (thousands), total income (yuan), standard form advertising income (yuan), recruiter non-standard income, distribution income, replacement income, cost, RIO, and UV peak value (thousands) per week; the list can be sorted according to each column, so that the user can find out at a glance which video copyright has higher ROI or higher VV.
In order to estimate the video quality of the new video copyright, the degree of return on investment of the target video can be used for measurement, so that guidance opinions are provided for purchasing, making or online putting the copyright of the new video. The technical scheme provided by the embodiment of the invention can calculate the estimated on-demand volume and the estimated return on investment of various types of copyright through the aggregation of the data table, for example, when the search range is the director field, the on-demand volume of the director's drama and the return on investment level of the copyright can be calculated and listed side by side, so that the director can have a good tendency in purchasing. When the video copyright operation platform accumulates more data and the drama media information is sufficiently complete, the corresponding on-demand volume and the estimated value of the return on investment rate can be calculated only by inputting the related information of the new copyright (including a director, a production place and the like), and the purchase suggestion can be more conveniently and effectively given. It should be noted that, if the video to be online is a sequel or the same type of program, the judgment is made according to the past program audience rating.
Example two
based on the foregoing first embodiment, an information processing method is provided in an embodiment of the present invention and applied to an electronic device, and fig. 2 is a schematic flow chart illustrating an implementation of an information processing method in a second embodiment of the present invention, as shown in fig. 2, the information processing method includes:
Step 201, acquiring an operation performed by a user on a video to be predicted, wherein the operation is the setting performed by the user on a search parameter of the video to be predicted;
step 202, determining the search parameter of the video to be predicted according to the operation, and determining the search parameter of the video to be predicted as the search range of the video to be predicted;
In step 201 and step 202, the user may perform some setting operations on the video to be predicted, and the electronic device obtains search parameters set by the user according to the setting operations of the user, where the setting includes selection and input, for example, the user may input the search parameters of the video to be predicted as a director and an actor, and then the electronic device obtains information of the director and the actor.
Step 203, obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring the video quality, and the target video is an online video;
Here, the search range includes one search parameter or a combination of more than one search parameter.
here, continuing with the example in step 202, the electronic device obtains target videos according to the obtained information of the director and the actors, where the target videos may be videos of the same director and the actors, videos of the same director information, videos of the same actors information, or videos of the same actors information. After the target video is obtained, the estimation parameter value of the target video can be correspondingly obtained.
here, in the specific implementation process of step 203, a list may be preset, where the list includes videos and estimation parameter values corresponding to the videos, and the videos may be stored only in the identification information of the videos, and therefore, the acquiring the estimation parameter value of the target video according to the search range may be: and inquiring a preset list according to the search range, and then obtaining an estimated parameter value of the target video.
step 204, acquiring target search parameters and identification information of the target video, wherein the target search parameters are search parameters for searching the target video;
here, the obtaining of the target search parameter may be determined in step 202, where the target video is obtained by using all the search parameters input by the user, the target search parameter includes all the search parameters input by the user, and where the target video is obtained by using only one or a few of the search parameters, the target search parameter includes the associated search parameter.
Step 205, establishing a corresponding relationship among the target search parameter, the identification information of the target video and the estimated parameter value of the target video;
step 206, displaying the corresponding relation as the estimation result to the user.
Here, the correspondence established in step 205 is similar to that in fig. 1-2, and the correspondence may be presented in the form of a list, for example, the target search parameter occupies one column, then the identification information of the target video occupies one column, and the estimated parameter value of the target video occupies one column, in other words, the list at least includes 3 columns, as for the number of rows of the list, in relation to the number of the target videos, assuming that the target video has only 5 items, the list may be a table with 5 rows and 3 columns, and then in step 206, the list is presented to the user.
EXAMPLE III
Based on the foregoing first and second embodiments, an information processing method according to an embodiment of the present invention is applied to an electronic device, and fig. 3 is a schematic flow chart illustrating an implementation of a third information processing method according to an embodiment of the present invention, as shown in fig. 3, the information processing method includes:
Step 301, acquiring an operation performed by a user on a video to be predicted, wherein the operation is setting of identification information of the video to be predicted by the user;
Here, the setting of the identification information of the video to be predicted includes at least selection or input of the identification information of the video to be predicted, or the like.
Step 302, obtaining the search parameter of the video to be predicted according to the identification information of the video to be predicted, and determining the search parameter of the video to be predicted as the search range of the video to be predicted;
in step 301, a user may perform some setting operations on the identification information of the video to be predicted, and the electronic device obtains the identification information of the video to be predicted, which is set by the user, according to the setting operations of the user, where the setting includes selection and input, and the identification information of the video to be predicted includes information such as a number or a name of the video to be predicted, for example, the user may input a name of the video to be predicted, and then the electronic device may obtain the name of the video to be predicted.
In step 302, once the electronic device acquires the name of the video to be predicted, the electronic device automatically searches for search parameters matching the name of the video to be predicted, for example, when the user inputs movie C, the electronic device automatically searches for information of director, actors, and offerings of movie C, and it should be noted that the search of the electronic device may be a search based on a form input by an insider, or a search using the internet, and based on the search, in step 302, the search parameters of the video to be predicted may be acquired according to the identification information of the video to be predicted.
step 303, obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring video quality, and the target video is an online video;
here, the search range includes one search parameter or a combination of more than one search parameter.
step 304, acquiring target search parameters and identification information of the target video, wherein the target search parameters are search parameters for searching the target video;
step 305, establishing a corresponding relation among the target search parameter, the identification information of the target video and the estimated parameter value of the target video;
step 306, displaying the corresponding relation as the estimation result to the user.
steps 303 to 306 in the embodiment of the present invention correspond to steps 203 to 206 in the second embodiment, and thus are not described again.
example four
based on the foregoing embodiments, an embodiment of the present invention provides an information processing method applied to an electronic device, and fig. 4 is a schematic flow chart illustrating an implementation of a fourth information processing method according to an embodiment of the present invention, as shown in fig. 4, the information processing method includes:
Step 401, acquiring an operation performed by a user on a video to be predicted, wherein the video to be predicted is a video which is not online;
step 402, determining the search range of the video to be predicted according to the operation;
step 403, obtaining an estimation parameter value of a target video according to the search range, wherein the estimation parameter value is used for measuring video quality, and the target video is an online video;
Here, steps 401 to 403 correspond to steps 101 to 103 in the first embodiment, and thus are not described again.
Step 404, judging the size relationship between the estimated parameter value of the target video and each threshold value in a preset threshold value set to obtain a judgment result;
step 405, grading the estimation parameter values of the target video according to the judgment result to obtain the quality of the target video;
In steps 404 and 405, the set of thresholds may include only one threshold, but may also include more than one threshold, and when more than one threshold is included, the thresholds may have different sizes. Taking an example that the threshold value set has one threshold value, when the judgment result shows that the estimation parameter value of the target video is judged to be greater than or equal to a first threshold value, giving a first grade to the target video; and when the judgment result shows that the estimation parameter value of the target video is judged to be smaller than a first threshold value, giving a second grade to the target video, wherein the first grade is superior to the second grade.
Below, two thresholds are set, namely a second threshold and a third threshold, wherein the second threshold is greater than the third threshold. When the judgment result shows that the estimation parameter value of the target video is judged to be larger than or equal to a second threshold value, giving a first grade to the target video; and when the judgment result shows that the estimated parameter value of the target video is smaller than a second threshold value and is larger than or equal to a third threshold value, giving a second grade to the target video, and when the judgment result shows that the estimated parameter value of the target video is smaller than the third threshold value, giving a third grade to the target video, wherein the first grade is superior to the second grade, and the second grade is superior to the third grade.
Step 406, acquiring a target search parameter and identification information of the target video, wherein the target search parameter is a search parameter for searching the target video;
step 407, establishing a corresponding relationship among the target search parameter, the identification information of the target video and the quality of the target video;
Step 408, displaying the corresponding relation as the estimation result to the user.
here, steps 406 to 408 correspond to steps 204 to 206 in the second embodiment, and thus are not described again.
in the embodiment of the invention, the operation is the setting of the user on the identification information of the video to be predicted; correspondingly, the determining the search range of the video to be predicted according to the operation comprises: and acquiring the search parameter of the video to be predicted according to the identification information of the video to be predicted, and determining the search parameter of the video to be predicted as the search range of the video to be predicted.
In the embodiment of the invention, the operation is the setting of the search parameter of the video to be predicted by the user; correspondingly, the determining the search range of the video to be predicted according to the operation comprises: and determining the search parameters of the video to be predicted according to the operation, and determining the search parameters of the video to be predicted as the search range of the video to be predicted.
EXAMPLE five
Based on the foregoing information processing method, an embodiment of the present invention provides an information processing apparatus, where the first obtaining unit, the determining unit, the second obtaining unit, the processing unit, and each module in the processing unit in the information processing apparatus provided by the embodiment of the present invention may be implemented by a processor in an electronic device; of course, the implementation can also be realized through a specific logic circuit; in the course of a particular embodiment, the processor may be a Central Processing Unit (CPU), a Microprocessor (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like.
fig. 5 is a schematic diagram of a composition structure of a five-information processing apparatus according to an embodiment of the present invention, and as shown in fig. 5, the information processing apparatus 500 includes a first obtaining unit 501, a determining unit 502, a second obtaining unit 503, and a processing unit 504, where:
The first obtaining unit 501 is configured to obtain an operation performed by a user on a video to be predicted, where the video to be predicted is a video that is not online;
the determining unit 502 is configured to determine a search range of the video to be predicted according to the operation;
The second obtaining unit 503 is configured to obtain an estimation parameter value of a target video according to the search range, where the estimation parameter value is used to measure video quality, and the target video is an online video;
The processing unit 504 is configured to estimate the quality of the video to be predicted by using the estimation parameter value of the target video, obtain an estimation result, and feed back the estimation result to the user.
in the embodiment of the invention, the operation is the setting of the search parameter of the video to be predicted by the user; correspondingly, the determining unit is configured to determine a search parameter of the video to be predicted according to the operation, and determine the search parameter of the video to be predicted as a search range of the video to be predicted.
in the embodiment of the invention, the operation is the setting of the user on the identification information of the video to be predicted; correspondingly, the determining unit is further configured to obtain the search parameter of the video to be predicted according to the identification information of the video to be predicted, and determine the search parameter of the video to be predicted as the search range of the video to be predicted.
EXAMPLE six
based on the foregoing information processing method, an embodiment of the present invention provides an information processing apparatus, where the first obtaining unit, the determining unit, the second obtaining unit, the processing unit, and each module in the processing unit in the information processing apparatus provided by the embodiment of the present invention may be implemented by a processor in an electronic device; of course, the implementation can also be realized through a specific logic circuit; in the course of a particular embodiment, the processor may be a central processing unit, a microprocessor, a digital signal processor, a field programmable gate array, or the like.
Fig. 6 is a schematic diagram of a composition structure of a sixth information processing apparatus according to an embodiment of the present invention, and as shown in fig. 5, the information processing apparatus 600 includes a first obtaining unit 601, a determining unit 602, a second obtaining unit 603, and a processing unit 604, where the processing unit 604 includes a first obtaining module 6041, a building module 6042, and a display module 6043, where:
The first obtaining unit 601 is configured to obtain an operation performed by a user on a video to be predicted, where the video to be predicted is a video that is not online;
the determining unit 602 is configured to determine a search range of the video to be predicted according to the operation;
Here, the search range includes one search parameter or a combination of more than one search parameter.
the second obtaining unit 603 is configured to obtain an estimated parameter value of a target video according to the search range, where the estimated parameter value is used to measure video quality, and the target video is an online video;
the first obtaining module 6041 is configured to obtain a target search parameter and identification information of the target video, where the target search parameter is a search parameter for searching the target video;
The establishing module 6042 is configured to establish a corresponding relationship between the target search parameter, the identification information of the target video, and the estimated parameter value of the target video;
The display module 6043 is configured to display the corresponding relationship as the estimation result to the user.
In the embodiment of the invention, the operation is the setting of the search parameter of the video to be predicted by the user; correspondingly, the determining unit is configured to determine a search parameter of the video to be predicted according to the operation, and determine the search parameter of the video to be predicted as a search range of the video to be predicted.
In the embodiment of the invention, the operation is the setting of the user on the identification information of the video to be predicted; correspondingly, the determining unit is further configured to obtain the search parameter of the video to be predicted according to the identification information of the video to be predicted, and determine the search parameter of the video to be predicted as the search range of the video to be predicted.
EXAMPLE seven
based on the foregoing information processing method, an embodiment of the present invention provides an information processing apparatus, where the first obtaining unit, the determining unit, the second obtaining unit, the processing unit, and each module in the processing unit in the information processing apparatus provided by the embodiment of the present invention may be implemented by a processor in an electronic device; of course, the implementation can also be realized through a specific logic circuit; in the course of a particular embodiment, the processor may be a central processing unit, a microprocessor, a digital signal processor, a field programmable gate array, or the like.
Fig. 7 is a schematic diagram of a composition structure of an information processing apparatus according to a seventh embodiment of the present invention, and as shown in fig. 7, the information processing apparatus 700 includes a first obtaining unit 701, a determining unit 702, a second obtaining unit 703 and a processing unit 704, where the processing unit 704 includes a first obtaining module 7041, a determining module 7042, a dividing module 7043, a creating module 7044 and a displaying module 7045, where:
The first obtaining unit 701 is configured to obtain an operation performed by a user on a video to be predicted, where the video to be predicted is a video that is not online;
the determining unit 702 is configured to determine a search range of the video to be predicted according to the operation;
The second obtaining unit 703 is configured to obtain an estimation parameter value of a target video according to the search range, where the estimation parameter value is used to measure video quality, and the target video is an online video;
The first obtaining module 7041 is configured to obtain a target search parameter and identification information of the target video, where the target search parameter is a search parameter for searching the target video;
the judging module 7042 is configured to judge a size relationship between the estimated parameter value of the target video and each threshold in a preset threshold set, so as to obtain a judgment result;
the dividing module 7043 is configured to divide the estimated parameter value of the target video into grades according to the determination result, so as to obtain the quality of the target video;
The establishing module 7044 is configured to establish a correspondence relationship between the target search parameter, the identification information of the target video, and the quality of the target video.
The display module 7045 is configured to display the corresponding relationship as the estimation result to the user.
in the embodiment of the invention, the operation is the setting of the search parameter of the video to be predicted by the user; correspondingly, the determining unit is configured to determine a search parameter of the video to be predicted according to the operation, and determine the search parameter of the video to be predicted as a search range of the video to be predicted.
in the embodiment of the invention, the operation is the setting of the user on the identification information of the video to be predicted; correspondingly, the determining unit is further configured to obtain the search parameter of the video to be predicted according to the identification information of the video to be predicted, and determine the search parameter of the video to be predicted as the search range of the video to be predicted.
Here, it should be noted that: the descriptions of the fifth to seventh embodiments of the apparatus are similar to the descriptions of the method embodiments, and have similar beneficial effects to the method embodiments, and therefore, the descriptions are omitted. For technical details that are not disclosed in the fifth to seventh embodiments of the apparatus of the present invention, please refer to the description of the method embodiment of the present invention for understanding, and therefore, for brevity, will not be described again.
Example eight
in the above method or apparatus embodiments, an important parameter involved in evaluating video quality is an estimated parameter value, and the estimated parameter value has two expression modes, but each of the two expression modes is related to a return on investment, which is a ratio of video income to video cost. Generally, the copyright source of the video is divided into three types, namely purchasing copyright, self-making copyright and replacing copyright. If the copyright of the video is the purchase copyright, the video has a purchase cost; if the copyright of the video is homemade copyright, the video has homemade cost; if the copyright of the video is the replaced copyright, the replaced video copyright may not have reference meaning to the later copyright purchase, because although the replaced video copyright may have purchase cost or self-control cost on the other side, the replaced video has great cost loss after the heat mapping, and the video copyright obtained by the replacement mode is generally the copyright after the heat mapping, so the reference meaning of the replaced video to the online of the video to be predicted is not great. If the copyright of the video is the replaced copyright, the replaced copyright of the video may have replacement revenue, which is the revenue of the replaced video, and the revenue of the replaced video mainly comprises advertising revenue (income1) and recruitment revenue (income2), which is also called non-nominal revenue of the recruitment.
the copyright replacement can be that one video copyright changes one video copyright or one video copyright changes, and can also be that a plurality of video copyrights change a plurality of video copyrights, i.e. change a plurality of video copyrights. Fig. 8-1 is a first flowchart of copyright replacement according to an embodiment of the present invention, fig. 8-2 is a second flowchart of copyright replacement according to an embodiment of the present invention, and fig. 8-1 shows a one-to-one copyright replacement manner, that is, a video copyright a of a first party and a video copyright B of a second party perform copyright replacement, in the copyright replacement manner shown in fig. 8-1, if one party is the first party and the other party is the second party, the replaced video copyright is the video copyright a, and the placed video copyright is the video copyright B. Fig. 8-2 shows a copyright replacement manner with multiple changes, that is, the video right E and the video right F of the first party perform copyright replacement with the video right G, the video right H and the video right I of the second party. In the copyright replacement mode shown in fig. 8-2, if one of the two parties is the second party, the video copyrights to be replaced are video copyrights G, H and I, and the video copyrights to be placed are video copyrights E and F.
in the copyright replacement process, a difference is generated sometimes, and the difference is divided into an inverse difference and a sequential difference, wherein if one party is the party needing to pay the difference, the difference is the inverse difference, the inverse difference is calculated as the replacement cost of the other party, and the replacement cost is represented by a second cost 2; if the opposite party is the party paying the difference, the difference is the running difference, and the running difference is calculated as the running difference income of the own party, wherein the running difference income is represented by a fourth income 4. In the video replacement method, as shown in fig. 8-1, after replacing a video right B of the opposite party with a video right a of the own party, the advertising revenue (income5) from the video right B is also calculated on the video right a. In the multiple-conversion video replacement mode, the replacement income needs to be divided according to the replaced objects, and there may be a certain division coefficient, for example, in the replacement mode shown in fig. 8-2, assuming that the advertisement income brought by the placed video rights E and F is incoe 5, assuming that the division coefficients of the video rights G, H and I that are replaced correspond to x1, x2 and x3, respectively, the replacement income of the video right G is the product of incoe 5 and the division coefficient x1, the replacement income of the video right H is the product of incoe 5 and the division coefficient x2, and the replacement income of the video right I is the product of incoe 5 and the division coefficient x3, wherein the sum of the division coefficients x1, x2 and x3 corresponding to the video rights G, H and I is 1.
The copyright replacement process may adopt a copyright replacement table as shown in table 1, where the copyright replacement table may include a copyright id paid by one party, a copyright id obtained by the other party, a transaction object, a cis or trans difference, a copyright replacement price difference, a replacement mode, and other information, where the transaction object may be a company name or a company code of the other party, and the copyright replacement mode includes one-replacement or more-replacement.
table 1: copyright replacement table
| Field(s) | remarks for note |
| Copyright id paid by one party | XXXXX |
| Copyright id obtained by the other party | XXXXX |
| transaction object | XXXXX |
| cis or trans | clockwise and anticlockwise difference |
| copyright replacement spread | XXXXX |
| copyright replacement mode | one for one, more for more |
| other information | information of operator, operation time, etc |
referring to copyright revenue, the source of copyright revenue of a video is advertising revenue, which is also called advertising revenue, and the advertising revenue can be divided into two revenue types, i.e., CPM standard advertising revenue (income1) and recruiter revenue (income2), wherein the CPM (Cost Per mile) mode is a mode in which advertisements are priced by displaying thousands of times. The reason for dividing advertising revenue into these two revenue types is to facilitate an investigation of whether a commercial offer can be reasonably effective to achieve a premium. The specific data of the advertisement putting income comes from the data collection of a lighthouse system, and after advertisement playing income data (see table 1) of a period of time such as 24 hours is summarized and pushed to the lighthouse system, the lighthouse system can be stored in a corresponding data table, wherein the lighthouse system is a video advertisement operation platform, and the advertisement data comprises information such as advertisement income, exposure times, Identification (ID) corresponding to drama and the like. Those skilled in the art can collect and summarize specific data of advertisement putting revenue according to various prior arts, and the detailed description is omitted here. In table 1, the parts related to numbers, letters and letters are denoted by X, for example, the date may be 2014 08 month 08 day, in table 1 the date is denoted by XXXX month XX day in XXXX year, first it is assumed that the story id may be the story number, which is denoted by six-digit hexadecimal number, for example, the story id may be EFA0812, and in table 1 the story id is denoted xxxxxxxx; of course, the scenario id may also be information such as scenario name. The selling mode of the advertisement is roughly classified into 5 types of advertising venders, fixed-projection theaters, conventional tile selling, residual flow and other advertisement positions. These 5 categories can be divided into two categories, CPM standard advertising revenue (income1) and recruiter revenue (income 2). The advertisement putting platform comprises a Personal Computer (PC), a mobile terminal and other platforms, wherein the mobile terminal can be a terminal such as a smart phone and a tablet personal computer.
It should be noted that a video copyright may contain a plurality of dramas, which include many types, such as feature films, catkins, trailers, etc., and each of the dramas, etc. may have a separate drama id. Table 2 is an advertisement playing revenue data table, and table 3 is a scenario table associated with a video copyright, and each scenario table may include information such as a copyright id, a scenario number, a scenario name, whether a video is a main scenario under a video copyright, and the like. Wherein, the identification information (id) of the copyright can be the number of the video or the name of the video; whether the drama is a main drama means whether the drama is a main drama under the video copyright id, wherein the main drama may be a feature film. Assuming that 10 different advertisements are delivered under one video copyright id and 8 dramas under the video copyright id, including 2 dramas, 1 trailer and 5 feature films, wherein corresponding advertisement deliveries are provided under each drama, if the advertisement income and exposure of the video copyright id (including 8 dramas) in a period of time are calculated, it can be obtained by integrating table 1 and table 2. For the online video copyright id, the staff of the video advertisement operation platform can synthesize the table 2 and the table 3, and then the copyright income of the online video copyright id can be obtained.
Table 2: advertisement playing income data table
Table 3: video copyright associated play list
| Field(s) | Remarks for note |
| Copyright id | XX-XXX-XXX |
| Number of drama | XX-XXX-XXX |
| Name of drama | XX-XXX-XXX |
| whether the drama is the main drama or not | Yes, no |
| Other information | Information of operator, operation time, etc |
Each program also has media asset information, and each program can also record the media asset information of the program by adopting a program media asset information table shown in table 4, wherein the media asset information mainly comprises: the system comprises a drama id, a drama name, a channel id where the drama is located, a channel name where the drama is located, a production area, a main type, a director, a producer and the like, wherein the media information of the drama can be regarded as attribute information of the drama, wherein the main type of the drama comprises a love picture, an action picture, a fantasy picture, a children intelligence-developing picture, a science and education picture, a documentary picture, a history picture, a drama picture, a literature picture, a suspense picture, an even picture, an police and bandit's drama, and the main type of the drama can comprise more than one, for example, one drama can be either the love picture or the even picture.
table 4: drama media information table
Each episode also has media asset information and correspondingly, the video also has copyright information, wherein the copyright information can be represented by the copyright information table of table 5, specifically, the copyright information includes: copyright id, copyright content name, copyright acquisition path, copyright cost, belonged replacement package id, distribution amount, copyright provider, copyright starting time, copyright occupation budget year, copyright period, copyright content rating, independent broadcast, belonged channel, content category, production region and the like, wherein the copyright acquisition path generally comprises copyright purchase, homemade copyright and replacement copyright, the copyright content rating can be divided into S level, A level and B level according to the sequence from the most popular degree, and the copyright cost generally comprises purchase cost and homemade cost.
table 5: copyright information table of video
Video copyright can have distribution income brought by video distribution besides the video income, and the video distribution is that: if the sales capability of one party is predicted to be insufficient to sell the advertisement amount of the copyright, the video copyright is dispatched, so that the other party or other parties also have the playing right of the video copyright. The distribution of the copyright is followed by a certain amount of income, which may be referred to as distribution income 3.
There is a cost information for each video, because there is a cost information for each video, whether it is purchased or homemade, and this cost can be labeled as the first cost1, where the first cost includes the above-mentioned purchase cost or homemade cost, and it should be noted that the homemade cost mainly refers to the cost invested before, during and after the video is shot.
The following illustrates a process of calculating the return on investment of video. Taking the video right E of fig. 8-2 as an example, it should be noted that, although the video right E is taken as an example, the calculation process of the investment insurance rate of any other video right is also applicable. The formula of the return on investment is as follows: ROI (total in com/total cost); wherein:
ROI is used to represent return on investment, total income is used to represent video revenue, total cost is used to represent video cost, "/" is used to represent a ratio or division; for the video copyright E, total income is income1+ income2+ income3+ income4+ income 5;
Wherein the video revenue total income includes a sum of advertisement delivery revenue income1, recruiter revenue income2, distribution revenue income3, paradox revenue income4, and replacement revenue income5, wherein paradox revenue income4 is revenue due to paradox of copyright when the copyright is replaced, wherein replacement revenue income5 is revenue due to advertisement delivery revenue income1 and recruiter revenue income2 when the copyright is replaced;
The video cost total includes the sum of a first cost1 and a second cost2, wherein the first cost1 is the self-making cost or the purchase cost, and the second cost2 is the cost paid by copyright reversed difference when copyright is replaced.
for video right E, replacement revenue income5 ═ q × (income1G + income2G + income1H + income2H + income1I + income2I), where "×" represents a multiplication number, income1G is advertising revenue of video right G, income1H is advertising revenue of video right H, income1I is advertising revenue of video right I, income2G is advertising revenue of video right G, income2H is advertising revenue of video right H, income2I is advertising revenue of video right I, q is a proportion of video right E in a combination of video rights E and F, and q may be determined in the following manner: q is cost1E/(cost1E + cost1F), where cost1E is the first cost of the video right E and cost1F is the first cost of the video right F. Similarly, regarding the video right E, the running income incomeS 4 is q × incomeS, where incomeS 4 is the running income obtained by the video right E at the time of the multi-conversion and multi-copy right replacement, and incomeS is the total running income of the video right E and the video right F at the time of the multi-conversion and multi-copy right replacement. It should be noted that, in the calculation process of the total noncome, there may be a certain income for some video copyrights, and then the income may be counted as 0 income, and similarly, in the calculation process of the total cost, there may be a case where there is no cost, and then the cost is counted as 0.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
in the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
the above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (7)
1. An information processing method, characterized in that the method comprises:
Acquiring an operation performed by a user on a video to be predicted, wherein the video to be predicted is a video which is not online, and the operation comprises setting of search parameters or identification information of the video to be predicted by the user;
determining one or more search parameters or a combination of more than one search parameters as a search range of the video to be predicted according to the search parameters included in the operation or corresponding search parameters obtained according to the identification information included in the operation;
Determining a target video according to the search range, and acquiring an estimated parameter value of the target video, wherein the estimated parameter value is related to the return on investment rate and is used for measuring the video quality, and the target video is an online video;
Acquiring a target search parameter and identification information of the target video, and establishing a corresponding relation among the target search parameter, the identification information of the target video and an estimated parameter value of the target video;
And displaying the corresponding relation as the estimation result to the user.
2. The method of claim 1, further comprising:
Judging the size relationship between the estimated parameter value of the target video and each threshold value in a preset threshold value set to obtain a judgment result;
Grading the estimation parameter values of the target video according to the judgment result to obtain the quality of the target video;
Correspondingly, the establishing a corresponding relationship among the target search parameter, the identification information of the target video, and the estimated parameter value of the target video includes: and establishing a corresponding relation among the target search parameters, the identification information of the target video and the quality of the target video.
3. The method according to claim 1 or 2, characterized in that said estimated parameter values comprise at least a return on investment ROI; the investment return rate ROI is the ratio of the video income total income to the video cost total cost; wherein:
the video earnings include the sum of advertisement delivery earnings income1, recruiter earnings income2, distribution earnings income3, cis-poor earnings income4 and replacement earnings income5, wherein cis-poor earnings income4 is earnings due to the cis-poor copyright at the time of replacing the copyright, wherein replacement earnings income5 is earnings due to advertisement delivery earnings income1 and recruiter incomes 2 at the time of replacing the copyright;
The video cost includes the sum of a first cost1 and a second cost2, wherein the first cost1 is the cost of self-making or purchasing, and the second cost2 is the cost of replacing copyright due to the inverse difference of copyright.
4. A method according to claim 1 or 2, characterized in that the estimated parameter values are functions relating to the return on investment ROI and the click through VV.
5. An information processing apparatus, characterized in that the apparatus comprises a first acquisition unit, a determination unit, a second acquisition unit, a first acquisition module, a setup module, and a display module, wherein:
the first obtaining unit is used for obtaining an operation performed by a user on a video to be predicted, wherein the video to be predicted is a video which is not online, and the operation comprises setting of search parameters or identification information of the video to be predicted by the user;
The determining unit is configured to determine one or a combination of more than one search parameter as a search range of the video to be predicted according to the search parameter included in the operation or a corresponding search parameter obtained according to the identification information included in the operation;
The second obtaining unit is configured to determine a target video according to the search range, and obtain an estimated parameter value of the target video, where the estimated parameter value is related to a return on investment rate and is used to measure video quality, and the target video is an online video;
The first acquisition module is used for acquiring target search parameters and identification information of the target video;
The establishing module is used for establishing a corresponding relation among the target searching parameter, the identification information of the target video and the estimated parameter value of the target video;
And the display module is used for displaying the corresponding relation as the estimation result to the user.
6. the apparatus of claim 5, further comprising:
the judging module is used for judging the size relationship between the estimated parameter value of the target video and each threshold value in a preset threshold value set to obtain a judging result;
The dividing module is used for dividing the grade of the estimated parameter value of the target video according to the judgment result to obtain the quality of the target video;
Correspondingly, the establishing module is configured to establish a corresponding relationship among the target search parameter, the identification information of the target video, and the quality of the target video.
7. A computer-readable storage medium, characterized in that the storage medium has stored therein executable instructions, which when executed implement the steps in the information processing method of any one of claims 1 to 4.
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