WO2022105656A1 - Video splitting method, system and apparatus, and device and storage medium - Google Patents

Abstract

A video splitting method, system and apparatus, and a device and a storage medium, which can be applied to the technical field of the Internet. The method comprises: a splitting service acquiring a splitting rule which is configured by a user by means of a splitting platform; and splitting, according to the splitting rule, a video to be processed, so as to obtain a split video corresponding to said video. By means of the video splitting method, system and apparatus, and the device and the storage medium provided in the embodiments of the present application, a splitting rule can be more flexibly configured, such that the splitting process is simpler and more convenient.

Description

A video stripping method, system, device, device and storage medium

This application claims the priority of the Chinese patent application filed on November 17, 2020 with the application number 202011286764.3 titled "A method, system, device, equipment and storage medium for video stripping", the entire contents of which are Incorporated herein by reference.

technical field

The present application relates to the field of Internet technologies, and in particular, to a video stripping method, system, apparatus, device and storage medium.

Background technique

Video stripping refers to the secondary processing of videos, such as traditional TV media programs, due to the needs of Internet video and new media short video content platforms. multiple videos. Among them, the logical thinking or specific needs based on the splitting process can be understood as the splitting rules.

In the related art, the user sends a Hyper Text Transfer Protocol (HTTP) request that includes a plurality of fields to the strip service, and the request includes the field corresponding to the identification information of the video to be processed sent by the strip service, and the strip scene. The corresponding field and the field corresponding to the stripping rule corresponding to the stripping scene; the stripping service parses the HTTP request, obtains the video to be processed according to the obtained identification information, and treats the to-be-processed video according to the stripping rule corresponding to the stripping scene. Process video for stripping.

In the related art, when configuring stripping rules, professional R&D personnel are required to write fields corresponding to the stripping rule source codes for different stripping scenarios, which makes the configuration process of stripping rules inflexible.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to provide a video stripping method, system, device, device, and storage medium, so as to configure the stripping rules more flexibly and make the stripping process simpler. The specific technical solutions are as follows:

In a first aspect, an embodiment of the present application provides a video stripping method, which is applied to a stripping service, including: acquiring stripping rules configured by a user through a stripping platform; stripping a video to be processed according to the stripping rules, The split video corresponding to the to-be-processed video is obtained.

In an implementation manner, before the to-be-processed video is split according to the split rule to obtain a split video corresponding to the to-be-processed video, the method further includes: acquiring a video split request, the The video splitting request carries the identification information of the to-be-processed video; the to-be-processed video is acquired according to the identification information.

In an implementation manner, the acquiring the stripping rule configured by the user through the stripping platform includes: acquiring stripping rule parameters configured by the user based on configuration rule information, and combining the configuration rule information and the stripping rule The rule parameter is used as the stripping rule, and the configuration rule information is configuration rule information corresponding to different stripping scenarios included in the stripping rule configuration page provided by the stripping platform.

In one embodiment, the video splitting request further includes a scene to be split; the splitting the to-be-processed video according to the splitting rule to obtain the splitting video corresponding to the to-be-processed video includes: The to-be-processed video is subjected to frame extraction processing to obtain multiple video frames; a preset algorithm model corresponding to the to-be-split scene is determined; the multiple video frames are respectively identified by using the preset algorithm model, and the meeting is obtained. The video frame of the scene to be split; the video frames that satisfy the scene to be split are synthesized according to the split rule to obtain the split video that satisfies the split rule.

In an implementation manner, after the to-be-processed video is split according to the split rule to obtain a split video corresponding to the to-be-processed video, the method further includes: storing the split video The address is fed back to the client where the user is located, so that the user obtains the split video by using the storage address.

In a second aspect, an embodiment of the present application provides a video stripping method, which is applied to a stripping platform, including: providing a stripping rule configuration page; receiving stripping rules configured by a user on the stripping rule configuration page, to The splitting service is enabled to split the video to be processed based on the splitting rule to obtain a splitting video corresponding to the video to be processed.

In an implementation manner, the stripping rule configuration page includes configuration rule information corresponding to different stripping scenarios; the receiving a stripping rule configured by a user on the stripping rule configuration page includes: receiving the user A strip rule parameter configured based on the configuration rule information, and the configuration rule information and the strip strip rule parameter are used as the strip strip rule.

In one embodiment, the method further includes: providing a split log page, where the split log page is used to display split log information.

In one embodiment, the method further includes: providing a data statistics page, where the data statistics page is used to display data statistics results.

In one embodiment, the method further includes: providing a face sample library adding page, where the face sample library adding page is used to add matched face samples in the stripping process.

In a third aspect, an embodiment of the present application provides a video stripping system, including: a stripping platform, configured to receive stripping rules configured by a user through the stripping platform; stripping services, configured to obtain the stripping platform rule; splitting the video to be processed according to the splitting rule to obtain the splitting video corresponding to the video to be processed.

In an implementation manner, the strip stripping platform is configured to provide strip stripping rule configuration page; and receive strip stripping rules configured by the user on the strip stripping rule configuration page.

In one embodiment, the stripping service is an application program interface API.

In a fourth aspect, the embodiments of the present application provide a video stripping device, which is applied to stripping services, including: a first acquisition module, configured to acquire stripping rules configured by a user through a stripping platform; stripping module, set to Split the video to be processed according to the split rule to obtain the split video corresponding to the video to be processed.

In one embodiment, the apparatus further includes: a second acquisition module, configured to acquire the split video corresponding to the to-be-processed video by splitting the to-be-processed video according to the split rule to obtain the split video corresponding to the to-be-processed video A video stripping request, where the video stripping request carries the identification information of the to-be-processed video; the to-be-processed video is acquired according to the identification information.

In an implementation manner, the first obtaining module is configured to obtain the strip-breaking rule parameters configured by the user based on configuration rule information, and use the configuration rule information and the strip-breaking rule parameters as the strip-breaking rule parameters rule, and the configuration rule information is configuration rule information corresponding to different strip strip scenarios included in the strip strip rule configuration page provided by the strip strip platform.

In one embodiment, the video stripping request further includes a scene to be stripped; the stripping module is configured to perform frame extraction processing on the to-be-processed video to obtain multiple video frames; determine the to-be-removed video frame The preset algorithm model corresponding to the scene; using the preset algorithm model to identify the plurality of video frames respectively, to obtain the video frame that satisfies the scene to be split; according to the split rule to meet the to-be split The video frames of the scene are synthesized to obtain the split video that satisfies the split rule.

In one embodiment, the apparatus further includes: a feedback module, configured to split the video to be processed according to the split rule to obtain the split video corresponding to the video to be processed, and then split the video to be processed. The storage address of the split video is fed back to the client where the user is located, so that the user can obtain the split video by using the storage address.

In a fifth aspect, the embodiments of the present application provide a video stripping device, which is applied to a stripping platform, including: a first providing module configured to provide a stripping rule configuration page; a receiving module configured to receive user The splitting rule configured on the rule configuration page, so that the splitting service splits the video to be processed based on the splitting rule, and obtains the splitting video corresponding to the to-be-processed video.

In an embodiment, the stripping rule configuration page includes configuration rule information corresponding to different stripping scenarios; the receiving module is configured to receive stripping rule parameters configured by the user based on the configuration rule information, and The configuration rule information and the stripping rule parameter are used as the stripping rule.

In one embodiment, the apparatus further includes: a second providing module configured to provide a strip log page, where the strip log page is used to display strip log information.

In one embodiment, the apparatus further includes: a third providing module configured to provide a data statistics page, where the data statistics page is used to display data statistics results.

In one embodiment, the apparatus further includes: a fourth providing module, configured to provide a face sample library adding page, where the face sample library adding page is used to add matched face samples in the stripping process.

In yet another aspect of the application embodiment, the application embodiment provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory , which is set to store the computer program; the processor is set to implement the method steps described in the first aspect when executing the program stored in the memory.

In yet another aspect of the application embodiment, the application embodiment provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory , which is set to store the computer program; the processor is set to implement the method steps described in the second aspect when the processor is set to execute the program stored in the memory.

In yet another aspect of the application embodiments, the embodiments of the present application provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program implements the first aspect when executed by a processor. method steps.

In yet another aspect of the application embodiments, the embodiments of the present application provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program implements the second aspect when executed by a processor. method steps.

Description of drawings

In order to more clearly illustrate the embodiments of the present application and the technical solutions of the prior art, the following briefly introduces the drawings required in the embodiments and the prior art. Obviously, the drawings in the following description are only the For some embodiments of the application, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic flowchart of a video stripping method applied to a stripping service provided by an embodiment of the present application;

2 is a schematic flowchart of a video stripping method applied to a stripping platform provided by an embodiment of the present application;

3 is a schematic diagram of a strip rule configuration page in an embodiment of the present application;

4 is a schematic flowchart of a strip strip process based on strip strip rules in an embodiment of the present application;

5 is a schematic diagram of an intelligent strip strip operation platform in an embodiment of the application;

FIG. 6 is a schematic structural diagram of a video stripping system provided by an embodiment of the present application;

7A is a schematic structural diagram of a video stripping device applied to a stripping service provided by an embodiment of the present application;

7B is another schematic structural diagram of a video stripping device applied to a stripping service provided by an embodiment of the present application;

7C is a schematic structural diagram of a video stripping device applied to a stripping service provided by an embodiment of the present application;

8A is another schematic structural diagram of a video stripping device applied to a stripping platform provided by an embodiment of the present application;

8B is another schematic structural diagram of a video stripping device applied to a stripping platform provided by an embodiment of the present application;

8C is another schematic structural diagram of a video stripping device applied to a stripping platform provided by an embodiment of the present application;

8D is another schematic structural diagram of a video stripping device applied to a stripping platform provided by an embodiment of the present application;

9 is a schematic structural diagram of an electronic device applied to a stripping service provided by an embodiment of the present application;

FIG. 10 is a schematic structural diagram of an electronic device applied to a stripping platform according to an embodiment of the present application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and examples. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

In the related art, when configuring stripping rules, professional R&D personnel are required to write fields corresponding to the stripping rule source codes for different stripping scenarios, which makes the configuration process of stripping rules inflexible. In related technologies, operators generally determine the stripping requirements and notify the technical R&D personnel of the stripping requirements. The technical R&D personnel develop the corresponding source code based on the stripping requirements, including the identification information of the video to be processed in the stripping requirements, and the stripping requirements. Then, the technical R&D personnel will send the request carrying the corresponding fields of these information to the stripping service to complete the process of video stripping. It can be seen that when configuring stripping rules, operations are required. The personnel communicate with the technical R&D personnel first, and the operation personnel cannot directly configure the stripping rules, which will also make the process more cumbersome and inflexible.

The embodiment of the present application provides a video stripping method, which is applied to stripping services. As shown in FIG. 1 , it may include:

S101, acquiring a strip strip rule configured by a user through a strip strip platform.

S102, splitting the video to be processed according to the splitting rule to obtain a split video corresponding to the video to be processed.

In this embodiment of the present application, the user can configure the stripping rules through the stripping platform, instead of writing the fields corresponding to the stripping rules for different stripping scenarios when configuring the stripping rules, but directly using the configuration page to generate the stripping rules, like this This will make the configuration process of the strip rule more flexible and the strip strip process easier. In addition, operators and others can configure the stripping rules through the stripping platform by themselves, without the need for operators to notify the technical R&D personnel of the stripping requirements, and then the technical R&D personnel will carry the identification information of the video to be processed in the stripping requirements, the stripping scene and the corresponding information. The request for the corresponding fields of the stripping rules and other information is sent to the stripping service to complete the process of video stripping, which makes the video stripping process simpler and more flexible.

The embodiment of the present application also provides a video stripping method, which is applied to the stripping platform, as shown in FIG. 2 , including:

S201, providing a strip rule configuration page.

S202: Receive the stripping rule configured by the user on the stripping rule configuration page, so that the stripping service strips the video to be processed based on the stripping rule, and obtains the stripping video corresponding to the to-be-processed video.

In the embodiment of the present application, the user can configure the stripping rules through the stripping platform, instead of writing the fields corresponding to the stripping rule source code for different stripping scenarios when configuring stripping rules, but directly using the configuration page to generate stripping rules , which will make the configuration process of the strip rule more flexible and the strip strip process easier. In addition, operators and others can configure the stripping rules through the stripping platform by themselves, without the need for operators to notify the technical R&D personnel of the stripping requirements, and then the technical R&D personnel will carry the identification information of the video to be processed in the stripping requirements, the stripping scene and the corresponding information. The request for the corresponding fields of the stripping rules and other information is sent to the stripping service to complete the process of video stripping, which makes the video stripping process simpler and more flexible.

The following describes in detail the video strip splitting method provided by the embodiments of the present application.

S101, the stripping service acquires stripping rules configured by a user through a stripping platform.

The stripping platform can be a visualization platform.

The stripping rule is the rule based on the process of stripping the video to be processed, which may include logical thinking or specific needs, for example, adding a face sample set to be stripped, and modifying the appearance of characters within a specified time. time percentage, etc. In an example, for a movie video or a variety show video starring Actor A, Actor B, Actor C, etc., the rule of dismantling can be a new face sample set of Actor A and Actor B, and set Actor A within 5 minutes. The ratio of the appearance time of actor B is 3 to 2, then according to the stripping rule, a 5-minute strip video can be obtained, in which actor A appears for 3 minutes and actor B appears for 2 minutes.

In one example, the stripping platform can provide a stripping rule configuration page; the user configures through the stripping rule configuration page, such as inputting various parameters related to stripping, and the stripping platform can receive the user's configuration on the stripping rule configuration page. Each parameter generates a strip rule. For example, as shown in Figure 3, enter the parameter 180 in the input box corresponding to the shortest strip duration, and the generated strip strip rule is the shortest strip strip duration of 180 seconds; in this way, the strip strip service is based on strip stripping. The rule splits the video to be processed to obtain the split video corresponding to the video to be processed.

In one embodiment, the strip rule configuration page may include configuration rule information corresponding to different strip strip scenarios.

The configuration rule information can also be understood as a rule template abstracted from the strip strip rules of different strip strip scenarios. Based on the rule template, the user can directly set corresponding parameters in the rule template, that is, configure strip strip rule parameters.

In this embodiment of the present application, the stripping rules of each stripping scenario can be abstracted. For example, as shown in FIG. 3 , it can be abstracted into multiple information parts that require user parameters, so as to obtain configuration rule information corresponding to different stripping scenarios. The rule configuration page is provided to the user; the user can configure it based on the rule configuration page. During the configuration process, you can directly enter the strip rule parameters that meet the strip strip requirements on the strip strip rule configuration page.

Stripping scenarios can be determined according to different business needs. For example, a "just look at him/her" scene, a "boxing KO scene", a "boxing consecutive hits" scene, and the like may be included.

S202: Receive strip strip rules configured by the user on the strip strip rule configuration page, which may include:

Receive the strip rule parameters configured by the user based on the configuration rule information, and use the configuration rule information and strip strip rule parameters as strip strip rules.

In one embodiment, the dismantling rule configuration page, as shown in FIG. 3 , may include a “just look at him/her” scene, a “knock out KO (Knock Out, knockout opponent wins) scene”, and a “boxing continuous blow” Configuration rule information corresponding to the scene.

For example, the strip rule configuration page may include configuration rule information corresponding to the "just look at him/her" scenario: the shortest strip duration, the longest strip duration, and the proportion of the characters/specific scenes appearing. The configuration rule information corresponding to the "Just look at him/her" scene, for example, the shortest time interval, the longest time interval, the proportion of characters/specific scenes, and so on. Wherein, the dots can be understood as marking the time stamp from the start time of the original video between the video frame containing the specified face specified by the "just look at him/her" scene, and so on.

The dismantling rule configuration page may include configuration rule information corresponding to the "boxing KO scene", such as: KO pre-duration, KO post-duration. It may include configuration rule information corresponding to the "boxing continuous hitting" scenario, such as: the shortest continuous hitting duration, the continuous hitting pre-positioning time, and the continuous hitting post-positioning period.

In this way, the user can configure based on the configuration rule information on the strip rule configuration page, and the user only needs to configure the corresponding parameters at the corresponding options, and the configuration is flexible. For example, if the requirement for stripping and renewing is for the "only look at him/her" scenario, then only the configuration rule information corresponding to the "only look at him/her" scenario needs to configure the shortest stripping duration, longest stripping duration, character/specific The duration of scene appearance accounts for the corresponding parameters; for example, the shortest splitting duration is 180 seconds, the longest splitting duration is 800 seconds, and the proportion of characters/specific scenes appearing in every 60 seconds is not less than 70%.

In the embodiment of the present application, the strip stripping rules of each strip stripping scenario can be abstracted, visualized on the platform side, and can be deployed by customers according to business requirements.

In one embodiment, S101 may include: acquiring the stripping rule parameters configured by the user based on the configuration rule information, and using the configuration rule information and the stripping rule parameters as the stripping rule. The configuration rule information is configuration rule information corresponding to different strip strip scenarios included in the strip strip rule configuration page provided by the strip strip platform.

In an embodiment, S101 may include: determining the strip rule configuration information corresponding to the strip strip scene according to the strip strip scene; acquiring strip strip rule parameters configured by the user based on the strip strip rule configuration information; The strip rule parameter is used as strip rule.

Obtain the strip rule parameters configured by the user on the strip rule configuration page based on the configuration rule information, and use strip strip rule configuration information and strip strip rule parameters as strip strip rules.

S102, the splitting service splits the video to be processed according to the splitting rule, and obtains the splitting video corresponding to the video to be processed.

In one embodiment, before the video to be processed is split according to the split rule, and the split video corresponding to the video to be processed is obtained, the video to be processed needs to be obtained first, and the above method may further include: obtaining a video split request, The video splitting request carries the identification information of the video to be processed; the to-be-processed video is obtained according to the identification information.

The video frame can be identified by an artificial intelligence (AI) algorithm, and a video frame that satisfies the stripping rule is selected from multiple video frames, and the video frame that satisfies the stripping rule can constitute a stripping video.

In one embodiment, the video stripping request further includes a scene to be stripped. As shown in Figure 4, S102 may include:

S1021, performing frame extraction processing on the video to be processed to obtain multiple video frames.

For the frame extraction method of the video, refer to the frame extraction method in the related art. For example, in the video to be processed, one frame of video frame is extracted every certain number of frames; for example, each key frame of the video to be processed is extracted; for example, one can calculate The Euclidean distance of two adjacent video frames in the video to be processed. When the Euclidean distance is greater than the preset distance threshold, one frame of video frame is extracted.

S1022: Determine a preset algorithm model corresponding to the scene to be stripped.

Different stripping scenarios correspond to different algorithm models. For example, "just look at him/her" can be recognized by face recognition model and face comparison model; "boxing continuous blows" scenes, "boxing KO scenes" can be recognized by specific scene recognition models, and so on.

The acquired video stripping request may further include the scene to be stripped. It can parse the to-be-split scene included in the video split request. The preset algorithm model corresponding to the scene to be stripped can be obtained according to the pre-established corresponding relationship between different strip-splitting scenarios and different algorithm models.

S1023 , using a preset algorithm model to identify a plurality of video frames, respectively, to obtain a video frame that satisfies the scene to be split.

The video frame can be identified by invoking the corresponding preset algorithm model. The preset algorithm model may include face recognition and/or specific scene recognition, and so on. Among them, face recognition is to identify whether there is a face in an image through an AI algorithm. The specific scene recognition is to identify whether the image content is a scene specified by the customer through the AI algorithm. In one example, a pre-trained deep learning model can be used to perform face or scene recognition on an image. Taking scene recognition as an example, a sample image marked with a scene can be input into a deep learning model for training, thereby obtaining a pre-trained deep learning model; when performing scene recognition, the image to be recognized is input into the deep learning model, The deep learning model automatically outputs the scene for that image. For the specific training method of the deep learning model, please refer to the related model training technology, which is not specifically limited in this application.

S1024 , synthesizing the video frames satisfying the scene to be split according to the splitting rule, to obtain a splitting video that satisfies the splitting rule.

For example, the stripping rule includes: the shortest stripping time is 180 seconds, the longest stripping time is 800 seconds, and the proportion of characters/specific scenes in every 60 seconds is not less than 70%, then according to the stripping rule, S1023 Synthesize the video frames that meet the scene to be split, and obtain a short video that meets the rules for splitting, the real-time length is between 180 seconds and 800 seconds, and the proportion of characters/specific scenes appearing in every 60 seconds is not large. Below 70% split video.

In this way, based on the stripping rules configured by the user through the stripping platform, the process of stripping the video to be processed can be completed. Because the user can configure the stripping rules through the stripping platform, there is no need to write the fields corresponding to the stripping rules for different stripping scenarios when configuring stripping rules. This will make the configuration process of stripping rules more flexible and the stripping process easier. .

After the stripping video is obtained, the stripping video can be fed back to the user. In one way, the split video can be directly sent to the user, and the user saves the split video locally on the client where the user is located, so that the user can directly process the split video saved locally on the client when the split video is required. .

In an implementation manner, the split video may also be saved in other devices other than the local client where the user is located, such as a third-party device, a cloud device, and the like. After splitting the video to be processed according to the splitting rules to obtain the splitting video corresponding to the to-be-processed video, the storage address of the splitting video can be fed back to the client where the user is located, so that the user can obtain the splitting video using the storage address.

In the embodiment of the present application, the strip stripping rules of each strip stripping scenario can be abstracted, visualized on the platform side, and support customers to deploy according to business requirements. The user can configure the stripping rules through the stripping platform, and there is no need to write the fields corresponding to the stripping rules for different stripping scenarios when configuring the stripping rules. This will make the configuration process of the stripping rules more flexible and the stripping process easier. In addition, operators and others can directly configure the stripping rules through the stripping platform, without the need for operators to notify the technical R&D personnel of the stripping requirements, and then the technical R&D personnel will carry the identification information of the video to be processed in the stripping requirements, the stripping scene and the corresponding information. The request for the corresponding field of the stripping rule and other information is sent to the stripping service to complete the process of video stripping, which makes the video stripping process simpler and more flexible.

In one embodiment, the stripping platform may further provide a stripping log page, and the stripping log page is used to display stripping log information. The split log page can display the log list, and the split log in the log list can correspond to the log details.

In one embodiment, the log list can display the splitting videos generated by splitting logs in reverse order of generation time, such as 30 records per page; and can provide a query function, which can support fuzzy query of video name or person name, It supports querying logs according to the scene type of strips, supports querying according to date, and so on.

The log details corresponding to each stripped log may include a short video that can be played, that is, the stripped video; the name of the original video; the unique identifier of the original video, where the original video is the pending video corresponding to the stripped video; The storage address of the short video of the strip, that is, the storage address of the strip video; the log strip scene.

In one embodiment, the stripping platform may further provide a data statistics page, and the data statistics page is used to display the data statistics results.

The data statistics result may include data corresponding to all the strip splitting scenarios in the preset time range. It can be displayed according to the date dimension. The video information identified in different time ranges can be displayed according to the time series, the video information can be split, and so on. The time range can be the current day, or one or more days in history. In one embodiment, the display style for displaying the statistical results of the data may be displayed in the form of a data report.

The identified video information may be information related to videos that have been split and completed, such as the number of identified videos, video IDs, and the like. The split video information may include information related to the split video, such as the video quantity of the split video, and so on.

In one embodiment, the stripping platform may further provide a face sample library adding page, and the face sample library adding page is used to add matching face samples in the stripping process.

The face sample library add page can display the face samples that have been stored in the library by category, support query by name, and support face sample upload function, etc.

The face sample library add page supports the upload function of face samples. Users can add face samples through the face sample library add page. For example, if a user wants to watch actor A's split video, he can add face samples through the face sample library add page. A sample face of actor A. The face sample library adding page can display the face samples that have been stored in the database by category. For example, the face samples stored in the database can be classified according to the categories of movie actors, TV actors, and variety actors. When selecting a face sample, the category to which the face sample belongs can be uploaded at the same time. In addition, when uploading an actor's face sample, the user can also upload the name of the corresponding actor, and can query the face sample by the actor's name through the face sample library add page.

In a possible embodiment of the present application, the stripping platform may be understood as an intelligent stripping operation platform.

As shown in Figure 5, the intelligent strip operation platform may include: login interface, user information, data statistics, strip strip logs, face sample library, options corresponding to rule configuration and system configuration respectively.

Different options can be implemented through the corresponding pages. For example, the corresponding data statistics page is used to display the data statistics results. The strip rule configuration page corresponding to the rule configuration is used to support the configuration of strip strip rules for each strip scene. The split log page corresponding to the split log, and the face sample library add page corresponding to the face sample library. In one example, the stripping rule configuration page, the data statistics page, the stripping log page, and the face sample library adding page have been described in detail in the above embodiment, and will not be repeated here.

In the embodiment of the present application, the intelligent strip strip operation platform provides a login interface, based on which the user can input user information to log in to the intelligent strip strip operation platform, such as user name and password. The user name can be echoed when the user logs in, and the options of "change password" and "log out" can be displayed by clicking the display drop-down form. After logging in to the intelligent strip operation platform, users can perform operations based on the intelligent strip strip operation platform, such as configuring strip strip rules, query strip strip logs, data statistics results, and adding face samples, etc.

The system configuration in the embodiment of the present application may correspondingly provide two pages of user management and role management. The page corresponding to user management can support users to choose different roles to log in. The page corresponding to role management can support users to set roles corresponding to their user information, etc. Roles can include super administrator, administrator, operation, and different permissions can be set for different roles, that is, different roles are used for the intelligent strip operation platform. have different permissions.

The embodiment of the present application also provides a video stripping system, as shown in FIG. 6 , which may include:

The stripping platform 601 is configured to receive stripping rules configured by the user through the stripping platform 601 .

The stripping service 602 is configured to obtain stripping rules; stripping the video to be processed according to the stripping rules, to obtain a stripping video corresponding to the to-be-processed video.

In one embodiment, the stripping platform 601 is configured to provide a stripping rule configuration page; and receive stripping rules configured by a user on the stripping rule configuration page.

In one embodiment, the stripping service 602 is an application programming interface (Application Programming Interface, API).

In this embodiment of the present application, the stripping service 602 and the stripping platform 601 may be deployed on one device, or may be deployed on different devices respectively.

In one embodiment, the stripping service 602 can be packaged as an API. The stripping platform 601 can implement the stripping service process by calling an API.

The video stripping system provided by the embodiment of the present application is a system corresponding to the video stripping method in the above-mentioned embodiments, and all embodiments of the above-mentioned video stripping method are applicable to the device, and can achieve the same or similar beneficial effects.

Corresponding to the video stripping method applied to the stripping service in the above-mentioned embodiment, the embodiment of the present application provides a video stripping device, which is applied to the stripping service. As shown in FIG. 7A , it may include:

The first obtaining module 701 is configured to obtain the stripping rules configured by the user through the stripping platform.

The splitting module 702 is configured to split the video to be processed according to the splitting rule, and obtain the splitting video corresponding to the video to be processed.

In one embodiment, as shown in FIG. 7B , the apparatus further includes: a second obtaining module 703, configured to obtain a split video corresponding to the to-be-processed video before splitting the to-be-processed video according to the splitting rule. A video stripping request. The video stripping request carries the identification information of the video to be processed; the to-be-processed video is obtained according to the identification information.

In one embodiment, the first acquisition module 701 is configured to acquire the stripping rule parameters configured by the user based on the configuration rule information, and use the configuration rule information and stripping rule parameters as stripping rules, and the configuration rule information is the stripping platform The configuration rule information corresponding to different strip strip scenarios included in the provided strip strip rule configuration page.

In one embodiment, the video stripping request further includes the scene to be stripped; the stripping module 702 is configured to perform frame extraction processing on the video to be processed to obtain a plurality of video frames; and determine the preset algorithm model corresponding to the to-be stripped scene ; Identify multiple video frames by using a preset algorithm model to obtain a video frame that satisfies the scene to be split; Combine the video frames that meet the scene to be split according to the split rule to obtain a split video that satisfies the split rule .

In one embodiment, as shown in FIG. 7C , the apparatus further includes: a feedback module 704, configured to split the video to be processed according to the splitting rule to obtain the split video corresponding to the video to be processed, and then split the split video. The storage address of the video is fed back to the client where the user is located, so that the user can obtain the split video by using the storage address.

The video stripping device applied to the stripping service provided by the embodiment of the present application is the device of the above-mentioned video stripping method applied to the stripping service, and all the above-mentioned embodiments of the video stripping method applied to the stripping service are applicable to The device can achieve the same or similar beneficial effects.

Corresponding to the video stripping method applied to the stripping platform in the above-mentioned embodiments, the embodiment of the present application provides a video stripping device, which is applied to the stripping platform. As shown in FIG. 8A , it may include:

The first providing module 801 is configured to provide a stripping rule configuration page; the receiving module 802 is set to receive stripping rules configured by the user on the stripping rule configuration page, so that the stripping service can deconstruct the video to be processed based on the stripping rules. bar to obtain the split video corresponding to the video to be processed.

In one embodiment, the stripping rule configuration page includes configuration rule information corresponding to different stripping scenarios; the receiving module 802 is configured to receive the stripping rule parameters configured by the user based on the configuration rule information, and send the configuration rule information and stripping rule information to the stripping rule. The rule parameter is used as a stripping rule.

In one embodiment, as shown in FIG. 8B , the apparatus further includes: a second providing module 803 configured to provide a strip log page, where the strip log page is used to display strip log information.

In one embodiment, as shown in FIG. 8C , the apparatus further includes: a third providing module 804 configured to provide a data statistics page, where the data statistics page is used to display data statistics results.

In one embodiment, as shown in FIG. 8D , the apparatus further includes: a fourth providing module 805, configured to provide a face sample library adding page, and the face sample library adding page is used to add people matched in the stripping process face sample.

The video stripping device applied to the stripping platform provided by the embodiment of the present application is the device for the above-mentioned video stripping method applied to the stripping platform, and all the above-mentioned embodiments of the video stripping method applied to the stripping platform are applicable to The device can achieve the same or similar beneficial effects.

Corresponding to the video stripping method applied to stripping service in the above embodiments, the embodiment of the present application provides an electronic device, as shown in FIG. 9 , including a processor 901, a communication interface 902, a memory 903 and a communication bus 904, wherein, The processor 901, the communication interface 902, and the memory 903 complete the mutual communication through the communication bus 904; the memory 903 is set to store computer programs; The method steps of the video stripping method of the strip service.

Corresponding to the video stripping method applied to the stripping platform in the above-mentioned embodiments, the embodiment of the present application provides an electronic device, as shown in FIG. 10 , including a processor 1001, a communication interface 1002, a memory 1003 and a communication bus 1004, wherein The processor 1001, the communication interface 1002, and the memory 1003 complete the mutual communication through the communication bus 904; the memory 1003 is set to store computer programs; The method steps of the video stripping method of the strip platform.

The communication bus mentioned in the above electronic device may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA) bus or the like. The communication bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of presentation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the above electronic device and other devices.

The memory may include random access memory (Random Access Memory, RAM), and may also include non-volatile memory (Non-Volatile Memory, NVM), such as at least one disk storage. In one embodiment, the memory may also be at least one storage device located remotely from the aforementioned processor.

The above-mentioned processor can be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; it can also be a digital signal processor (Digital Signal Processing, DSP), dedicated integrated Circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

In another embodiment provided by the present application, a computer-readable storage medium is also provided, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the above-mentioned application to the stripping service is implemented The method steps of the video stripping method.

In another embodiment provided by the present application, a computer-readable storage medium is also provided, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the above-mentioned application to the stripping platform is implemented The method steps of the video stripping method.

In yet another embodiment provided by the present application, a computer program product including instructions is also provided, which, when running on a computer, causes the computer to execute the method steps of implementing the above-mentioned video stripping method applied to stripping service.

In yet another embodiment provided by the present application, a computer program product including instructions is also provided, which, when running on a computer, causes the computer to execute the method steps of implementing the above-mentioned video stripping method applied to a stripping platform.

In the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of the user's personal information involved are in compliance with relevant laws and regulations, and do not violate public order and good customs. It should be noted that the face sample in this embodiment is not a human head model for a specific user, and cannot reflect the personal information of a specific user. The face images in this embodiment come from public datasets.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that includes an integration of one or more available media. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), and the like.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

Each embodiment in this specification is described in a related manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system, apparatus, electronic device, computer-readable storage medium, and computer program product embodiments, since they are basically similar to the method embodiments, the description is relatively simple. Can.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the present application. within the scope of protection.

Claims (14)

A video strip stripping method, which is applied to strip stripping services, including: Get the stripping rules configured by the user through the stripping platform; Split the video to be processed according to the split rule to obtain the split video corresponding to the video to be processed. The method according to claim 1, wherein, before the splitting the video to be processed according to the splitting rule to obtain the splitting video corresponding to the video to be processed, the method further comprises: Obtain a video stripping request, where the video stripping request carries the identification information of the to-be-processed video; The to-be-processed video is acquired according to the identification information. The method according to claim 1, wherein the acquiring the stripping rules configured by the user through the stripping platform comprises: Acquire the stripping rule parameters configured by the user based on the configuration rule information, and use the configuration rule information and the stripping rule parameters as the stripping rule, and the configuration rule information is the stripping rule provided by the stripping platform. The configuration rule information corresponding to different stripping scenarios included in the rule configuration page. The method according to claim 2, wherein the video stripping request further comprises a scene to be stripped; The described stripping of the video to be processed according to the stripping rule, to obtain the stripped video corresponding to the video to be processed, including: Perform frame extraction processing on the to-be-processed video to obtain multiple video frames; determining a preset algorithm model corresponding to the scene to be stripped; Identify the plurality of video frames by using the preset algorithm model to obtain video frames that satisfy the scene to be split; The video frames satisfying the scene to be split are synthesized according to the split rule to obtain the split video satisfying the split rule. The method according to claim 1, wherein after the splitting the video to be processed according to the splitting rule to obtain the splitting video corresponding to the to-be-processed video, the method further comprises: The storage address of the stripped video is fed back to the client where the user is located, so that the user can obtain the stripped video by using the storage address. A video strip stripping method, applied to a strip stripping platform, includes: Provide strip rule configuration page; Receive the stripping rule configured by the user on the stripping rule configuration page, so that the stripping service performs stripping of the video to be processed based on the stripping rule, and obtains the stripped video corresponding to the to-be-processed video. The method according to claim 6, wherein the strip rule configuration page includes configuration rule information corresponding to different strip strip scenarios; The stripping rules configured by the receiving user on the stripping rule configuration page include: Receiving strip rule parameters configured by the user based on the configuration rule information, and using the configuration rule information and the strip strip rule parameters as the strip strip rules. The method of claim 6, wherein the method further comprises: A face sample library adding page is provided, and the face sample library adding page is used to add matching face samples during stripping. A video stripping system, comprising: The stripping platform is set to receive stripping rules configured by the user through the stripping platform; The splitting service is configured to obtain the splitting rule; splitting the video to be processed according to the splitting rule to obtain the splitting video corresponding to the to-be-processed video. The system according to claim 9, wherein the stripping platform is configured to provide a stripping rule configuration page; and receive stripping rules configured by a user on the stripping rule configuration page. A video strip stripping device, applied to strip stripping service, includes: The first obtaining module is set to obtain the stripping rules configured by the user through the stripping platform; The splitting module is configured to split the video to be processed according to the splitting rule, and obtain the splitting video corresponding to the video to be processed. A video strip stripping device applied to strip stripping platform, comprising: The first provides a module, which is set to provide a strip rule configuration page; The receiving module is configured to receive the stripping rule configured by the user on the stripping rule configuration page, so that the stripping service can strip the video to be processed based on the stripping rule, and obtain the stripping corresponding to the video to be processed. video. An electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; a memory, configured to store computer programs; The processor is configured to implement the method described in any one of claims 1-5 or implement the method described in any one of claims 6-8 when executing the program stored in the memory. A computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the method of any one of claims 1-5 or any one of claims 6-8 are implemented. a described method.

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