CN114666655A - Video processing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure provides a video processing method, a video processing device, electronic equipment and a storage medium, and belongs to the technical field of videos. In the present disclosure, for distributed videos of a video platform, a to-be-processed video is selected from the distributed videos. And responding to the analysis operation of the video to be processed, displaying the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed. Wherein the distribution effect related data at least comprises data influencing the distribution effect of the video to be processed. Therefore, the user can conveniently and rapidly compare the data with the data in other analysis modes while checking the relevant data of the distribution effect, and then the user can conveniently and comprehensively judge the influence of the data in different analysis modes on the distribution effect of the video to be processed to a certain extent, so that the video analysis is conveniently carried out.
Description
Technical Field
The present disclosure relates to the field of video technologies, and in particular, to a video processing method and apparatus, an electronic device, and a storage medium.
Background
At present, with the continuous development of network technology, various video platforms emerge. Video platforms attract a large number of creators to author videos, which can be distributed to the video platforms for consumption by users, e.g., viewing, forwarding, commenting, praise, and the like.
In the related art, after video distribution, some videos have a good distribution effect, and some videos have a poor distribution effect, so how to analyze the distribution effect of the videos for the distributed videos becomes a technical problem that needs to be solved urgently.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a video processing method, an apparatus, an electronic device, and a storage medium.
According to a first aspect of the present disclosure, there is provided a video processing method, the method comprising:
aiming at distributed videos of a video platform, selecting videos to be processed from the distributed videos;
responding to the analysis operation of the video to be processed, displaying distribution effect related data in at least two analysis modes in a distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed;
wherein the distribution effect related data at least comprises data affecting the distribution effect of the video to be processed.
Optionally, the distribution effect related data in the at least two analysis modes includes at least two of video operation data, audit related data, and specified promotion data.
Optionally, the data related to the distribution effect in at least two analysis modes in the distribution stage for displaying the video to be processed includes:
and displaying the distribution effect related data in a chart form according to the generation time of the data in the distribution effect related data in the at least two analysis modes in the same page.
Optionally, the method further includes:
in response to a video comparison instruction, determining a video indicated by the video comparison instruction as a comparison video; the provider of the comparison video is the same as that of the video to be processed, and/or the comparison video is related to the type of the video to be processed;
and taking the data related to the distribution effect of the contrast video as first contrast data and displaying the first contrast data.
Optionally, the method further includes:
responding to a promotion comparison instruction, and acquiring video flow data corresponding to the video to be processed under different promotion conditions;
and taking the corresponding video flow data under different promotion conditions as second comparison data and displaying the second comparison data.
Optionally, the method further includes:
displaying recommendation strategy information of the video to be processed in a recommendation link corresponding to each recommendation strategy;
and in response to the selection operation aiming at the recommendation strategy, determining the recommendation strategy selected by the selection operation as the recommendation strategy to be adjusted.
Optionally, after displaying the data related to the distribution effect in at least two analysis manners in the distribution stage of the video to be processed, the method further includes:
responding to the received adjustment instruction, and adjusting the video to be processed so as to adjust the distribution strategy of the video to be processed in the subsequent stage; and the adjusting instruction is sent by the user according to the analysis result of the distribution effect analysis.
Optionally, the adjusting the video to be processed includes:
adjusting the distribution time of the video to be processed in the subsequent stage; and/or adjusting the auditing result of the appointed type auditing of the video to be processed; and/or adjusting the appointed popularization operation of the video to be processed.
According to a second aspect of the present disclosure, there is provided a video processing apparatus comprising:
the selection module is configured to select a to-be-processed video from distributed videos of a video platform;
the first display module is configured to respond to the analysis operation of the video to be processed and display the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed;
wherein the distribution effect related data at least comprises data influencing the distribution effect of the video to be processed.
Optionally, the distribution effect related data in the at least two analysis modes includes at least two of video operation data, audit related data, and specified promotion data.
Optionally, the first display module is specifically configured to:
and displaying the distribution effect related data in a chart form according to the generation time of the data in the distribution effect related data in the at least two analysis modes in the same page.
Optionally, the apparatus further comprises:
a first determination module configured to determine, in response to a video comparison instruction, a video indicated by the video comparison instruction as a comparison video; the provider of the comparison video is the same as that of the video to be processed, and/or the comparison video is related to the type of the video to be processed;
and the second display module is configured to take the distribution effect related data of the contrast video as the first contrast data and display the first contrast data.
Optionally, the apparatus further comprises:
the acquisition module is configured to respond to the promotion comparison instruction and acquire video flow data corresponding to the video to be processed under different promotion conditions;
and the third display module is configured to take the corresponding video flow data under the different promotion conditions as second comparison data and display the second comparison data.
Optionally, the apparatus further comprises:
the fourth display module is configured to display recommendation strategy information of the video to be processed in a recommendation link corresponding to each recommendation strategy;
the second determination module is configured to respond to the selection operation aiming at the recommendation strategy, and determine the recommendation strategy selected by the selection operation as the recommendation strategy to be adjusted.
Optionally, after displaying the data related to the distribution effect in at least two analysis manners in the distribution stage of the video to be processed, the apparatus further includes:
the first adjusting module is configured to adjust the video to be processed in response to the received adjusting instruction so as to adjust a distribution strategy of the video to be processed in a subsequent stage; and the adjusting instruction is sent by the user according to the analysis result of the distribution effect analysis.
Optionally, the first adjusting module is specifically configured to:
adjusting the distribution time of the video to be processed in the subsequent stage; and/or adjusting the auditing result of the appointed type auditing of the video to be processed; and/or adjusting the appointed popularization operation of the video to be processed.
In accordance with a third aspect of the present disclosure, there is provided an electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any of the first aspects.
According to a fourth aspect of the present disclosure, there is provided a storage medium having instructions that, when executed by a processor of an electronic device, cause the electronic device to perform the method according to any one of the first aspects.
According to a fifth aspect of the present disclosure, a computer program product is provided, comprising readable program instructions, which, when executed by a processor of an electronic device, cause the electronic device to perform the method according to any one of the first aspect.
Compared with the related art, the method has the following advantages and positive effects:
according to the video processing method provided by the embodiment of the disclosure, for distributed videos of a video platform, videos to be processed are selected from the distributed videos. And responding to the analysis operation of the video to be processed, displaying the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed. Wherein the distribution effect related data at least comprises data influencing the distribution effect of the video to be processed. Therefore, the user can conveniently and rapidly compare the data with the data in other analysis modes while checking the relevant data of the distribution effect, and then the user can conveniently and comprehensively judge the influence of the data in different analysis modes on the distribution effect of the video to be processed to a certain extent, so that the video analysis is conveniently carried out.
The foregoing description is only an overview of the technical solutions of the present disclosure, and the embodiments of the present disclosure are described below in order to make the technical means of the present disclosure more clearly understood and to make the above and other objects, features, and advantages of the present disclosure more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the disclosure. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating steps of a video processing method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a page provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another page provided by an embodiment of the present disclosure;
FIG. 4 is a schematic flow chart of an operation provided by an embodiment of the present disclosure;
fig. 5 is a block diagram of a video processing apparatus provided in an embodiment of the present disclosure;
FIG. 6 is a block diagram illustrating an apparatus for video processing in accordance with an exemplary embodiment;
fig. 7 is a block diagram illustrating an apparatus for video processing according to an example embodiment.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 is a flowchart illustrating steps of a video processing method according to an embodiment of the present disclosure, where as shown in fig. 1, the method may include:
In the disclosed embodiment, the video platform may be a short video platform, a long video platform, or the like. Video distribution may refer to the distribution of a video into a page of an application provided by a video platform so that a user may view the video for consumption. The video consumption may refer to operations of playing, praise, commenting, forwarding, collecting, and the like on the video. The distributed videos can be videos distributed to a video platform, in an actual application scene, before some videos are distributed, a user may perform estimation and judgment on the distribution effect of the videos based on the knowledge of information such as a video creator and the videos, and determine a distribution and delivery strategy of the videos based on the estimation and judgment result. For example, when the estimated distribution effect is good, for example, when the estimated distribution effect index is higher than a preset threshold value and the degree of explosion of the video is estimated to be high, the video is distributed to a plurality of pages of a video platform and delivered at a recommendation position. For example, the video is distributed to a personal page, a focus page, a discovery page, a pick page, a city page, etc., and is placed in a recommendation slot such as a search recommendation bar, a content navigation bar, etc. However, after the video is distributed, the distribution effect actually exhibited may deviate from the previous judgment. For example, it is possible that a video is judged to have a good propagation effect before, but after actual distribution, the distribution effect is worse than the expected effect. In order to better distribute and deliver videos, it is often necessary to analyze the distribution effect of distributed videos, that is, perform video diagnosis on the distributed videos. The distribution effect analysis may refer to determining a reason for a difference between an actual distribution effect and an estimated distribution effect of the video, so as to adjust strategies such as distribution and delivery of the video.
When the video to be processed is selected from the distributed videos, the distributed videos may be randomly selected as the video to be processed. For example, a "random Identification (ID)" option may be provided in the analysis page, and in a case where the user may click the option, a video ID may be randomly extracted, and the distributed video indicated by the video ID may be used as the video to be processed. Of course, a video ID input box may be provided, and the distributed video indicated by the video ID input by the user through the input box may be used as the video to be processed. Or, the distribution effect index of each distributed video of the video platform may be monitored, and in the case that a difference between an actual distribution effect index and an expected distribution effect index within a first specified time period after distribution is greater than a preset difference threshold, it may be considered that there may be an influence in some aspects, which causes a distribution effect and an expected effect of the video to be larger, and further, the distributed video may be determined as a video to be processed. The first specified duration may be set according to actual requirements. Alternatively, an analysis request sent by a user may be received, and a distributed video indicated by the analysis request may be determined as a video to be processed. Wherein the analysis request may be sent by a user (e.g., a video creator) if the distribution effect of the created video does not meet the self-expectation.
102, responding to the analysis operation of the video to be processed, displaying distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed; wherein the distribution effect related data at least comprises data influencing the distribution effect of the video to be processed.
In this embodiment of the present disclosure, the distribution stage may be understood as a stage after video distribution, a specific type of the data related to the distribution effect may be set according to an actual requirement, and specifically, data that affects the distribution effect of the video to be processed may be used as the data related to the distribution effect, the data related to the distribution effect in different analysis manners may represent the data related to the distribution effect in different dimensions, one analysis manner may represent that the data related to the distribution effect in one corresponding dimension is analyzed, the data related to the distribution effect in different dimensions may reflect influences in different aspects, and the data related to the distribution effect may be used to provide information for analyzing a cause of a current distribution effect of the video to be processed. In this way, by displaying the distribution effect related data, the user can explore the reason for the gap between the distribution effect of the video to be processed and the expected effect based on the displayed distribution effect related data. Wherein the user may be an analyst, e.g. an operator. The distribution effect related data at least includes data affecting the distribution effect of the to-be-processed video, and may also include distribution effect measurement data, where the distribution effect measurement data may be data used to characterize the distribution effect of the to-be-processed video, and the distribution effect measurement data may be a distribution effect index.
Compared with the integration of only displaying single specific content, for example, the mode of only displaying multiple distribution effect indexes, the embodiment of the disclosure displays the distribution effect related data as the video analysis data to the user, can facilitate the user to analyze the distribution effect of the video to be processed, and by displaying the distribution effect related data in multiple analysis modes, the embodiment of the disclosure finds multi-aspect and multi-angle detailed information for the user and provides more video detailed information for the user, so that the user can more comprehensively know the influence of the data in different aspects on the video distribution effect, and locate the generation reason of the current distribution effect of the video to be processed.
To sum up, the video processing method provided by the embodiment of the present disclosure selects a to-be-processed video from distributed videos of a video platform. And responding to the analysis operation of the video to be processed, displaying the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed. Wherein the distribution effect related data at least comprises data influencing the distribution effect of the video to be processed. Therefore, the user can conveniently and quickly compare the data with the data in other analysis modes while checking the relevant data of the distribution effect, and then the user can conveniently and comprehensively judge the influence of the data of different analysis modes on the distribution effect of the video to be processed to a certain extent, so that the video can be conveniently and quickly analyzed.
Optionally, the distribution effect related data in the at least two analysis modes in the embodiment of the present disclosure may include at least two of video operation data, audit related data, and specified popularization data. The video operation data may include exposure, play related data, and interaction related data. In an actual application scene, the better the content of the video itself is, the better the distribution effect is, and under the condition that the content of the video itself is, the data volume of the video operation data is usually higher, so that the video operation data in the data related to the distribution effect can reflect the influence on the distribution effect in the aspect of the content of the video itself. It should be noted that the exposure, the play related data, and the interaction related data may also be used as distribution effect measurement data to represent the distribution effect of the video to be processed. The audit related data can represent the audit result of the video to be processed. After video distribution, multiple audits of the video are also performed. For example, the audit result may represent whether the video is stepped on, whether the video is reviewed, whether the video is masked, whether a specific identifier (e.g., a station logo) exists, whether a viewing audit result is performed, a security audit result, whether a header (topk) audit is entered, a topk audit result, whether a professional audit result is passed, a professional audit result, and the like.
The specified promotion data can reflect the additional promotion and delivery conditions of the video to be processed, such as whether the video is subjected to vermicelli delivery, namely whether the recommended amount is obtained for video payment, the number of times and time of additional promotion, and the like. Auditing the relevant data and specifying the promotion data as external factors may also affect the distribution effect, for example, if the video is masked, the exposure of the video may be reduced, and the distribution effect may be reduced. Under the condition of carrying out additional popularization on the video, the video exposure can be improved, and then the distribution effect is improved. Therefore, the auditing related data and the specified promotion data in the distribution effect related data can reflect the influence on the distribution effect from the aspect of the content of the non-video. It should be noted that the distribution effect related data may also include information of other dimensions, for example, information of the creator itself, and the like, which is not limited by the embodiment of the present disclosure.
In the embodiment of the disclosure, at least two of the video operation data, the audit related data and the specified promotion data are used as the distribution effect related data in at least two analysis modes and displayed to the user, so that the user can know the influence of the video itself and the influence of external factors such as audit and promotion, and the accuracy of video analysis is improved.
The play-related data may include a play amount, an end play rate, a long play rate and/or an effective play rate, and the interaction-related data may include a comment rate, a like rate, a share rate, an attention rate, a dislike rate and/or a report rate. The audit related data may specifically include audit results. The audit result can be displayed independently or in the audit log, so that the user can know the auditors and the audit time of each audit link conveniently by further displaying the audit log, and more detailed information is provided for video analysis. The specified promotional data can include promotional results. The promotion result can be displayed independently or can be displayed in a promotion log, so that a user can know the execution time of promotion operation, the promotion range, the final promotion effect and the like conveniently by further displaying the promotion log, and more detailed information is provided for video analysis. For video traffic, if only five indexes of issuing, exposing, commenting and sharing are available, the video cannot be measured, for example, for a video with higher content quality, the video cannot be measured accurately by only the indexes, and the video is analyzed. In the embodiment of the disclosure, while paying attention to the absolute flow of the video, the indexes of the video, such as the play-out rate, the long-play rate, the effective play rate, and the like, are also paid attention to, and the auditing related data and the promotion related data are further displayed, so that when a user performs distribution effect analysis, the influence of implementation of video promotion and auditing actions can be judged, and the requirement of video distribution analysis is met to a greater extent.
It should be noted that the video to be processed in the embodiment of the present disclosure may be a video released in approximately M days, and the data related to the distribution effect in at least two analysis manners displayed may be generated within a second specified time length after the video to be processed is released. The M and the second specified time length may be set according to actual requirements, for example, M may be 30, and the second time length may be 7 days, that is, in this embodiment of the present disclosure, it may be supported to query videos published within nearly 30 days, and for a single video, the length of the query time window may be limited within 7 days, so as to avoid a problem of too much processing load caused by querying distribution effect related data under a condition of a large data amount.
Optionally, after displaying the data related to the distribution effect in at least two analysis manners in the distribution stage of the video to be processed, the embodiment of the present disclosure may further include the following steps:
step S21, responding to the received adjustment instruction, adjusting the video to be processed so as to adjust the distribution strategy of the video to be processed in the subsequent stage; the adjusting instruction is sent by the user according to the analysis result of the distribution effect analysis.
In the embodiment of the disclosure, a user can analyze the distribution effect of a video to be processed according to the distribution effect related data in at least two displayed analysis modes, so as to determine the reason for the difference between the distribution effect and the estimated distribution effect. Accordingly, the user may send an adjustment instruction based on the determined reason (i.e., the analysis result) to adjust the video to be processed, so that the distribution policy of the video to be processed at the subsequent stage is affected, thereby adjusting the distribution policy of the video to be processed at the subsequent stage. The specific adjustment operation indicated by the adjustment instruction may be determined according to the actual analysis result, which is not limited in the embodiment of the present disclosure.
In the embodiment of the present disclosure, based on the pre-trained analysis model, the data related to the distribution effect in at least two analysis modes in the distribution stage of the displayed to-be-processed video may also be used as input, and the output of the pre-trained analysis model is used as an analysis result of distribution effect analysis, so as to determine a reason for causing a difference in the distribution effect. Wherein the pre-trained analytical model may be trained by: selecting videos with distribution effects having differences as sample videos, and marking the sample videos with video labels, for example, manually marking the sample videos, where the video labels can be used to characterize reasons causing the differences in the distribution effects of the sample videos. And then, using the data related to the distribution effect in at least two analysis modes in the distribution stage of the sample video as the input of the deep neural network model, using the video label as a real value and the output of the deep neural network model as a predicted value, optimizing the deep neural network model based on the real value and the predicted value, and determining the finally optimized deep neural network model as an analysis model.
In the embodiment of the disclosure, after the distribution effect analysis is performed on the distribution effect-related data in at least two analysis modes in the distribution stage of the video to be processed, the video to be processed is further adjusted based on the analysis result to adjust the distribution strategy of the video to be processed in the subsequent stage, so that the distribution effect of the high-quality video to be processed can be consistent with the actual situation of the video to be processed to a certain extent, and the video distribution effect is further ensured.
Optionally, adjusting the video to be processed may include the following steps:
step S31, adjusting the distribution time of the video to be processed in the subsequent stage; and/or adjusting the auditing result of the appointed auditing link of the video to be processed; and/or adjusting the appointed popularization operation of the video to be processed.
For example, in a case that the analysis result indicates that the distribution time of the to-be-processed video is problematic, for example, in a case that the number of online users is small, the video is distributed, so that the distribution effect is poor, and accordingly, the distribution time of the to-be-processed video in the subsequent stage may be adjusted, that is, the to-be-processed video is redistributed at the specified time of the subsequent stage. And when the analysis result shows that the audit result of a certain audit link of the to-be-processed video does not accord with the self condition of the video, so that the distribution effect is poor, the audit result of the specified audit link of the to-be-processed video can be adjusted, and the distribution strategy of the to-be-processed video in the subsequent stage is correspondingly adjusted, for example, after the audit result is adjusted, the to-be-processed video can be distributed to a page and a user group which are not distributed before, so that the subsequent distribution effect is influenced. And under the condition that the analysis result shows that the specified popularization operation of the video to be processed has problems, adjusting the time of the popularization operation and the corresponding user group, thereby optimizing the distribution effect of the subsequent stage. Of course, the adjustment may also be performed in other manners, for example, sending modification prompt information to the provider of the to-be-processed video, where the modification prompt information is used to prompt the provider to modify the description text of the to-be-processed video, so as to overcome the problem that the distribution effect is affected because the description text is not appropriate.
In the embodiment of the disclosure, the distribution time of the video to be processed in the subsequent stage is adjusted; and/or adjusting the auditing result of the appointed type auditing of the video to be processed; and/or, the appointed popularization operation of the video to be processed is adjusted, and the distribution effect of the video to be processed in the subsequent stage can be adjusted to a certain extent, so that the distribution effect is more consistent with the actual situation of the distribution effect per se, and the video distribution effect is further ensured. It should be noted that, in the embodiment of the present disclosure, a video analysis result may also be sent to a provider of a to-be-processed video, so that the provider of the to-be-processed video may conveniently know a reason why a distribution effect is different from an expected distribution effect, so that the provider may optimize a subsequent authoring manner, and improve video quality.
Optionally, the operation of displaying the data related to the distribution effect in at least two analysis manners in the distribution stage of the to-be-processed video may specifically include:
and step S41, displaying the distribution effect related data in a graph form according to the generation time of the data in the distribution effect related data in the at least two analysis modes in the same page.
In the embodiment of the present disclosure, the data related to the sending effect may be specifically displayed in a designated page of an analysis platform corresponding to the video platform. Particularly, when the distribution effect related data in multiple analysis modes are displayed, the distribution effect related data in the multiple analysis modes can be displayed in the same page, so that a user can check the distribution effect related data in the multiple analysis modes in the same page, the user can conveniently compare the distribution effect related data in the multiple analysis modes to a certain extent, and the video analysis efficiency is improved. Specifically, when the distribution effect related data in the plurality of analysis methods is displayed, the exposure rate, the play related data, and the interaction related data in the distribution effect related data may be displayed in a form of a graph according to a time axis based on the generation time of the data. For example, in the embodiment of the present disclosure, the effect-related data may be distributed to the hour-level consumption curve through the external event map to implement display. It should be noted that, during displaying, the increment of each item of data in the exposure rate, the play related data, and the interaction related data at each time point may be determined first to obtain increment information, so as to generate an increment curve of each item of data. And determining the accumulated amount of each item of data at each time point to obtain accumulated information. And then, displaying an increasing curve and an accumulating curve of each item of data in the exposure rate, the playing related data and the interaction related data based on the incremental information and the accumulating information. For the audit related data in the distribution effect related data, the audit related data can be sequentially displayed in a table according to the generation time of the audit result (i.e., the audit time), and one line of data in the table can correspond to one audit link. For specified promotion data in the data related to the distribution effect, the specified promotion data can be sequentially displayed in a table according to the promotion time of the promotion operation, and one line of data in the table can correspond to one promotion operation. It should be noted that a timeline control may also be displayed, and the user may drag the timeline control to control the increase of the portions corresponding to different times displayed in the curve or the cumulative curve. In the embodiment of the present disclosure, Point of Interest (POI) information of a video to be processed may be displayed in the page, so that a user may know basic information of the video conveniently. For example, fig. 2 is a schematic diagram of a page provided by an embodiment of the present disclosure, as shown in fig. 2, the page may display basic information for video a, POI information, and audit related data displayed in a graph form (i.e., "audit log" and audit result information in the figure), play related data, interaction related data (specific incremental graph and cumulative graph are not shown), and specified promotion data (i.e., "vermicelli log" in the figure, specific table is not shown, and a corresponding table may be triggered and displayed by clicking "vermicelli log" in the figure). The basic information may include, among others, a video name, a video cover, description text, a video ID, a release time, an author nickname, an author ID, and the like. The POI information can include the POI _ ID, the associated POI category, the name and the click through rate (ctr), the click through amount and the exposure amount of the city and other showing information carried in the video. Other presentation information may be positioning, music, etc. carried in the video.
According to the method and the device, the relevant data of the distribution effect are displayed in a chart form according to the time sequence, so that a user can understand the data more easily, and the convenience and the understandability of the user in checking can be improved to a certain extent. And the operation requirement is met to a greater extent.
In the embodiment of the disclosure, audit result information, POI information, increment and accumulation information of exposure and play related data and interaction related data in a distribution process of a video are displayed in a chart mode according to a time axis, and an audit log and a draft log are attached, so that data (such as play-out rate, play amount, exposure amount and the like) on one aspect can be ensured to be researched and compared with information such as comment amount, popularization, audit and the like, a user can conveniently and comprehensively know the influence of data indexes on different aspects on the popularity of the video, and the reason of poor video performance is researched. And the user can conveniently know the specific development process influenced by different indexes and external factors, and the dynamic development process of a single video can be conveniently researched, so that the video release effect can be accurately grasped in the follow-up process.
Optionally, the embodiment of the present disclosure may further include the following operations:
step S51, responding to a video comparison instruction, and determining the video indicated by the video comparison instruction as a comparison video; the provider of the comparison video is the same as the provider of the video to be processed, and/or the comparison video is related to the type of the video to be processed.
In the embodiment of the present disclosure, the video comparison instruction may be sent by the user by triggering the video comparison function, for example, an option of "add video comparison" may be provided, and after the user clicks the option, a video that is the same as the provider of the video to be processed and/or is related to the type of the video to be processed may be displayed for the user as an alternative video for selection. Accordingly, the alternative video selected by the user can be used as the video indicated by the video comparison instruction, and the video can be used as the comparison video. Of course, the user may also directly input the video ID, and the video indicated by the video ID is used as the video indicated by the video comparison instruction, which is not limited by the embodiment of the present disclosure.
And step S52, displaying the distribution effect related data of the comparison video as first comparison data.
In the embodiment of the present disclosure, the distribution effect related data of the comparison video may be the same as the kind of the distribution effect related data of the displayed to-be-processed video. The distribution effect related data in at least two analysis modes in the distribution stage of the comparison video can be used as the first comparison data, and the first comparison data is displayed in the display page of the distribution effect related data of the video to be processed.
The method and the device for processing the video contrast instruction in the embodiment of the disclosure support contrast between distribution effect related data of different videos, respond to the video contrast instruction, and take the video indicated by the video contrast instruction as a contrast video; the provider of the comparison video is the same as the provider of the video to be processed and/or the comparison video is related to the type of the video to be processed. The distribution effect related data of the comparison video is used as the first comparison data and displayed, and richer and referential distribution effect related data of other videos can be provided for the user, so that the user can conveniently compare the distribution effect related data with the reference data, the video analysis is carried out, and the video to be processed is positioned more accurately.
Optionally, the embodiment of the present disclosure may further include the following operations:
and step S61, responding to the promotion comparison instruction, and acquiring video flow data corresponding to the video to be processed under different promotion conditions.
In the embodiment of the present disclosure, the promotion comparison instruction may be sent by the user by triggering a promotion flow comparison function, for example, an option of "add or not compare vermicelli" may be provided, and after the user clicks the option, video flow data corresponding to the video to be processed under different promotion conditions may be obtained. The video traffic data may represent traffic brought by a video, and the video traffic data may be distribution effect measurement data of the to-be-processed video. Specifically, the video traffic data corresponding to different promotion conditions may be obtained from the video to be processed in a specified promotion link, and from the video to be processed in a non-specified promotion link.
And step S62, taking the corresponding video flow data under different promotion conditions as second comparison data and displaying the second comparison data.
In the embodiment of the present disclosure, the second comparison data may be displayed in a display page of the data related to the distribution effect of the video to be processed. The embodiment of the disclosure supports comparison between various indexes of specified popularization and non-specified popularization flow of the same video, and responds to a popularization comparison instruction to acquire video flow data corresponding to the video to be processed under different popularization conditions. And taking the corresponding video flow data under different popularization conditions as second comparison data, and displaying. Therefore, richer reference information can be provided for users, and the users can conveniently carry out video analysis and delineate the popularization operation (badcase) with problems in the appointed popularization operation.
Optionally, the embodiment of the present disclosure may further include the following operations:
and step S71, displaying recommendation strategy information of the video to be processed in a recommendation link corresponding to each recommendation strategy.
In the embodiment of the disclosure, recommendation policy information in a recommendation link corresponding to a recommendation policy hit by a video to be processed in recommendation policies provided by a video platform may be specifically obtained. The recommendation strategy hit by the to-be-processed video can be a recommendation strategy used in the distribution of the to-be-processed video. The recommendation strategy information may include recall quantity, coarse output quantity, fine output quantity, and recall quantity corresponding to each recommended link, coarse output quantity, fine output quantity, final output quantity (the quantity of videos recommended to be distributed), conversion rate of each link, and the like. Namely, the strategy information of the recommendation system can be provided, and the conversion rate of coarse and fine ranking of the recommendation link can be shown. According to the embodiment of the disclosure, the video analysis can be conveniently performed by the user through linkage of data such as the exposure and play index, the interaction rate index and the recommendation system strategy information.
Specifically, when displaying, the information related to the distribution effect may be displayed on the same page in the form of a graph, or may be displayed on different pages. For example, recommendation policy information corresponding to each recommendation policy may be displayed in a table, recommendation policy information of a recommendation policy selected by a user in a third specified duration in a use process of a to-be-processed video may be displayed in a data funnel graphical manner, and recommendation policy information of the recommendation policy in all use processes of the whole video platform in the third specified duration may be displayed in the data funnel graphical manner. For example, fig. 3 is another schematic diagram of a page provided by the embodiment of the present disclosure, and as shown in fig. 3, a data-funnel-shaped image and a table corresponding to recommendation policy information may be displayed in the page. It should be noted that in an actual application scenario, only policy information that the cumulative percentage of TOP (TOP) appearing in the final throughput exceeds a threshold may be extracted, and the policy information is displayed in a descending order according to the size of the final throughput. And displaying the play-out rate, the long play rate, the effective play rate, the comment rate and the like rate corresponding to each recommendation strategy in a table. And marking the P recommendation strategies with the lowest conversion rate and the Q recommendation strategies with the highest conversion rate in the final export quantity stage in a table so as to facilitate the user to check.
It should be noted that, in the embodiment of the present disclosure, when data related to a distribution effect is displayed, the data may be displayed according to a time length of an hour level, so that data with a granularity of more hours is provided for a user, and a user demand is met to a greater extent.
And step S72, responding to the selection operation aiming at the recommendation strategy, and determining the recommendation strategy selected by the selection operation as the recommendation strategy to be adjusted.
In the embodiment of the present disclosure, the selection operation for the recommendation policy may be selected by the user according to actual requirements, the recommendation policy selected by the selection operation may be the recommendation policy that is determined to have a problem and needs to be adjusted, and accordingly, the recommendation policy selected by the selection operation may be used as the recommendation policy to be adjusted, so as to perform subsequent adjustment. For example, the model used in the recommendation strategy to be adjusted may be optimized.
In the embodiment of the disclosure, recommendation strategy information of a video to be processed in a recommendation link corresponding to each recommendation strategy is displayed. And in response to the selection operation aiming at the recommendation strategy, determining the recommendation strategy selected by the selection operation as the recommendation strategy to be adjusted. Therefore, the recommendation strategy review information of the recommendation system is further counted, namely the recommendation strategy information is convenient for the user to follow up the information related to the recommendation strategy, observe the implementation effect of the recommendation strategy and provide more reference information for the user, so that the user can conveniently define the recommendation strategy to be adjusted to optimize.
It should be noted that the video processing method provided by the embodiment of the present disclosure is implemented based on a video analysis function, and the video processing method can be applied to a video analysis platform provided for a video platform to perform detailed video distribution information analysis. The video platform in the embodiment of the present disclosure may provide multiple versions of products (i.e., applications) for users to use, for example, a main version and an ultra-fast version. Accordingly, options corresponding to the product name and the page name can be provided.
Before the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed is displayed, the program version and the page selected by the user can be determined, and specifically, the product name selected by the user and the page in the product corresponding to the page name can be determined. And then screening distribution effect related data generated in at least two analysis modes in the program version selected by the user and the page in the distribution stage of the video to be processed so as to display the data.
Fig. 4 is an operation flow diagram provided by the embodiment of the present disclosure, and as shown in fig. 4, a user may input a video ID, select a query date, filter a product name, and a page name, and accordingly, the analysis platform may use the video ID as a video to be processed, and obtain data related to a distribution effect in at least two analysis manners generated from a page of a product indicated by the filtered product name and the page name in a distribution stage of the video to be processed in the query date. Exposure and play information, interaction rate information, audit logs and vermicelli logs in the data related to the distribution effect can be displayed in a time axis linkage mode subsequently, and then the strategy information of the recommendation system can be displayed. Therefore, the video analysis can be conveniently carried out by the user by displaying the data in the multi-analysis mode.
Fig. 5 is a block diagram of a video processing apparatus provided in an embodiment of the present disclosure, and as shown in fig. 5, the apparatus 20 may include:
a selecting module 201 configured to select a to-be-processed video from distributed videos of a video platform;
a first display module 202, configured to, in response to an analysis operation on the to-be-processed video, display data related to distribution effects in at least two analysis modes in a distribution stage of the to-be-processed video, so as to perform distribution effect analysis on the to-be-processed video;
wherein the distribution effect related data at least comprises data affecting the distribution effect of the video to be processed.
Optionally, the distribution effect related data in the at least two analysis modes includes at least two of video operation data, audit related data, and specified promotion data.
Optionally, the first display module 202 is specifically configured to:
and displaying the distribution effect related data in a chart form according to the generation time of the data in the distribution effect related data in the at least two analysis modes in the same page.
Optionally, the apparatus 20 further includes:
a first determination module configured to determine, in response to a video comparison instruction, a video indicated by the video comparison instruction as a comparison video; the provider of the comparison video is the same as that of the video to be processed, and/or the comparison video is related to the type of the video to be processed;
and the second display module is configured to take the distribution effect related data of the contrast video as the first contrast data and display the first contrast data.
Optionally, the apparatus 20 further includes:
the acquisition module is configured to respond to the promotion comparison instruction and acquire video flow data corresponding to the video to be processed under different promotion conditions;
and the third display module is configured to take the corresponding video flow data under the different promotion conditions as second comparison data and display the second comparison data.
Optionally, the apparatus 20 further includes:
the fourth display module is configured to display recommendation strategy information of the video to be processed in a recommendation link corresponding to each recommendation strategy;
the second determination module is configured to respond to the selection operation aiming at the recommendation strategy, and determine the recommendation strategy selected by the selection operation as the recommendation strategy to be adjusted.
Optionally, the apparatus 20 further comprises:
the first adjusting module is configured to respond to a received adjusting instruction after the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed is displayed, and adjust the video to be processed so as to adjust the distribution strategy of the video to be processed in the subsequent stage; and the adjusting instruction is sent by the user according to the analysis result of the distribution effect analysis.
Optionally, the first adjusting module is specifically configured to:
adjusting the distribution time of the video to be processed in the subsequent stage; and/or adjusting the auditing result of the appointed type auditing of the video to be processed; and/or adjusting the appointed popularization operation of the video to be processed.
The video processing device provided by the embodiment of the disclosure selects a to-be-processed video from distributed videos of a video platform. And responding to the analysis operation of the video to be processed, displaying the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed. Wherein the distribution effect related data at least comprises data which influences the distribution effect of the video to be processed. Therefore, the user can conveniently and rapidly compare the data with the data in other analysis modes while checking the relevant data of the distribution effect, and then the user can conveniently and comprehensively judge the influence of the data in different analysis modes on the distribution effect of the video to be processed to a certain extent, so that the video analysis is conveniently carried out.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
According to an embodiment of the present disclosure, there is provided an electronic apparatus including: a processor, a memory for storing processor executable instructions, wherein the processor is configured to perform the steps of the video processing method as in any of the above embodiments when executed.
There is also provided, in accordance with an embodiment of the present disclosure, a storage medium, in which instructions are executed by a processor of an electronic device, so that the electronic device is capable of performing the steps in the video processing method as in any one of the above embodiments.
There is also provided, according to an embodiment of the present disclosure, a computer program product comprising readable program instructions which, when executed by a processor of an electronic device, enable the electronic device to perform the steps of the video processing method as in any one of the above embodiments.
Fig. 6 is a block diagram illustrating an apparatus for video processing according to an example embodiment. For example, the apparatus 700 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 6, the apparatus 700 may include one or more of the following components: a processing component 702, a memory 704, a power component 706, a multimedia component 708, an audio component 710, an input/output (I/O) interface 712, a sensor component 714, and a communication component 716.
The processing component 702 generally controls overall operation of the device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 702 may include one or more processors 720 to execute instructions to perform all or a portion of the steps of the video processing method described above. Further, the processing component 702 may include one or more modules that facilitate interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate interaction between the multimedia component 708 and the processing component 702.
The memory 704 is configured to store various types of data to support operations at the apparatus 700. Examples of such data include instructions for any application or method operating on device 700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 704 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 706 provides power to the various components of the device 700. The power components 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 700.
The multimedia component 708 includes a screen that provides an output interface between the device 700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 708 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 700 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 710 is configured to output and/or input audio signals. For example, audio component 710 includes a Microphone (MIC) configured to receive external audio signals when apparatus 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 704 or transmitted via the communication component 716. In some embodiments, audio component 710 further includes a speaker for outputting audio signals.
The I/O interface 712 provides an interface between the processing component 702 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 714 includes one or more sensors for providing status assessment of various aspects of the apparatus 700. For example, sensor assembly 714 may detect an open/closed state of device 700, the relative positioning of components, such as a display and keypad of device 700, sensor assembly 714 may also detect a change in position of device 700 or a component of device 700, the presence or absence of user contact with device 700, orientation or acceleration/deceleration of device 700, and a change in temperature of device 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 716 is configured to facilitate wired or wireless communication between the apparatus 700 and other devices. The apparatus 700 may access a wireless network based on a communication standard, such as WiFi, an operator network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 716 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the video processing methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 704 comprising instructions, executable by the processor 720 of the device 700 to perform the video processing method described above is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Fig. 7 is a block diagram illustrating an apparatus for video processing according to an example embodiment. For example, the apparatus 800 may be provided as a server. Referring to fig. 7, the apparatus 800 includes a processing component 822, which further includes one or more processors, and memory resources, represented by memory 832, for storing instructions, such as applications, that may be executed by the processing component 822. The application programs stored in memory 832 may include one or more modules that each correspond to a set of instructions. Further, the processing component 822 is configured to execute instructions to perform the video processing method described above.
The device 800 may also include a power component 826 configured to perform power management of the device 800, a wired or wireless network interface 850 configured to connect the device 800 to a network, and an input/output (I/O) interface 858. The apparatus 800 may operate based on an operating system stored in the memory 832, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method of video processing, the method comprising:
aiming at distributed videos of a video platform, selecting videos to be processed from the distributed videos;
responding to the analysis operation of the video to be processed, displaying distribution effect related data in at least two analysis modes in a distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed;
wherein the distribution effect related data at least comprises data affecting the distribution effect of the video to be processed.
2. The method according to claim 1, wherein the data related to the distribution effect in the at least two analysis modes comprises at least two of video operation data, audit related data and specified promotion data.
3. The method according to claim 1 or 2, wherein the displaying of the distribution effect related data in at least two analysis modes in the distribution stage of the to-be-processed video comprises:
and displaying the distribution effect related data in a chart form according to the generation time of the data in the distribution effect related data in the at least two analysis modes in the same page.
4. The method of claim 1, further comprising:
in response to a video comparison instruction, determining a video indicated by the video comparison instruction as a comparison video; the provider of the comparison video is the same as that of the video to be processed, and/or the comparison video is related to the type of the video to be processed;
and taking the data related to the distribution effect of the contrast video as first contrast data and displaying the first contrast data.
5. The method of claim 1, further comprising:
responding to a promotion comparison instruction, and acquiring video flow data corresponding to the video to be processed under different promotion conditions;
and taking the corresponding video flow data under different promotion conditions as second comparison data and displaying the second comparison data.
6. The method of claim 1, further comprising:
displaying recommendation strategy information of the video to be processed in a recommendation link corresponding to each recommendation strategy;
and in response to the selection operation aiming at the recommendation strategy, determining the recommendation strategy selected by the selection operation as the recommendation strategy to be adjusted.
7. A video processing apparatus, characterized in that the apparatus comprises:
the selection module is configured to select a to-be-processed video from distributed videos of a video platform;
the first display module is configured to respond to the analysis operation of the video to be processed and display the distribution effect related data in at least two analysis modes in the distribution stage of the video to be processed so as to analyze the distribution effect of the video to be processed;
wherein the distribution effect related data at least comprises data affecting the distribution effect of the video to be processed.
8. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 6.
9. A storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, cause the electronic device to perform the method of any of claims 1-6.
10. A computer program product comprising readable program instructions which, when executed by a processor of an electronic device, cause the electronic device to perform the method of any of claims 1 to 6.
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