KR102492014B1 - Method, Apparatus and System of managing contents in Multi-channel Network - Google Patents

Abstract

A content integrated management method in a multi-channel network according to an embodiment of the present invention includes the steps of collecting multi-image platform data; Receiving an application execution request for a multi-channel network service from a terminal; providing a studio system for processing content to the terminal; automatically adding content processed through the provided studio system to an upload waiting list; and based on the collected multi-video platform data, providing at least one recommended title data set for the content automatically added to the upload waiting list, and automatically uploading the content including the determined recommended title data to the multi-video platform. steps may be included.

Description

Method, Apparatus and System of managing contents in Multi-channel Network}

The present invention relates to content management, and more particularly, to a method, apparatus, and system for integrated management of content in a multi-channel network (MCN).

Conventionally, it has been common for a broadcasting station to produce content mainly by a broadcasting expert through a broadcasting station camera, and to provide the produced content through a broadcasting channel.

However, with the development of digital technology and changes in related environments, various Internet streaming platforms are emerging and developing. In this way, as the number of people active on the Internet streaming platform increases, a multi-channel network such as a kind of agency or a multi-channel network (MCN) has been created.

However, as content production and provision environments are different by country, video platform, and creator, and the needs are different, the factors to be considered in order to provide appropriate services are gradually diversifying and increasing. Sufficient consideration and support are required. In addition, systematic support for this is required.

An object of the present invention is a method, apparatus, and system for supporting processing such as content production and editing in a multi-channel network (MCN) and for integrated management so that the processed content can be provided to various video platforms. is to provide

A content integrated management method in a multi-channel network according to an embodiment of the present invention includes the steps of collecting multi-image platform data; Receiving an application execution request for a multi-channel network service from a terminal; providing a studio system for processing content to the terminal; automatically adding content processed through the provided studio system to an upload waiting list; and based on the collected multi-video platform data, providing at least one recommended title data set for the content automatically added to the upload waiting list, and automatically uploading the content including the determined recommended title data to the multi-video platform. steps may be included.

According to one embodiment of the present invention, the multi-video platform data may include traffic data of each video platform collected through an API and a crawling method.

According to an embodiment of the present invention, each recommendation title data set may include a keyword that is text data, a combination of keywords, or a combination of at least one keyword and an emoji.

According to one embodiment of the present invention, each of the recommended title data sets may include a combination of a corresponding recommended title and thumbnail image data corresponding to the recommended title.

According to one embodiment of the present invention, the at least one recommendation data set includes a keyword created by a creator, an analysis result of chatting window conversation contents or comment contents of the corresponding content, and content related to keywords extracted from the corresponding content itself. It can be automatically generated according to a combination of keywords, content recommended by the target platform, keywords related to traffic above a pre-determined threshold, and trend keywords of local search engines.

A content integrated management method in a multi-channel network according to another embodiment of the present invention includes the steps of collecting multi-image platform data; Receiving content from a terminal; providing a studio system for processing content to the terminal; automatically adding content processed through the provided studio system to an upload waiting list; And based on the collected multi-video platform data, at least one recommendation title data set for the content automatically added to the upload waiting list and a traffic data learning result of a target video platform within the collected multi-video platform data Providing a recommended upload time data set and automatically uploading content including the determined recommended title data to a target video platform at the determined recommended upload time.

An apparatus for integrated content management in a multi-channel network according to an embodiment of the present invention includes a memory for storing various commands; And a processor, wherein the processor collects multi-image platform data, and upon receiving an application execution request for a multi-channel network service from a terminal, provides a studio system for processing content to the terminal, thereby providing the provided studio The content processed through the system is automatically added to the upload waiting list, based on the collected multi-video platform data, at least one recommended title data set for the content automatically added to the upload waiting list is provided, and the determined recommendation is made. Contents with title data can be automatically uploaded to multiple video platforms.

An apparatus for integrated content management in a multi-channel network according to another embodiment of the present invention includes a memory for storing various commands; And a processor, wherein the processor collects multi-image platform data, and when content is received from a terminal, provides a studio system for processing the content to the terminal, and uploads the processed content through the provided studio system. Based on the collected multi-video platform data, at least one recommended title data set for content automatically added to the waiting list and automatically added to the upload waiting list, based on the collected multi-video platform data, and the collection A recommended upload time data set is provided based on the traffic data learning result of the target video platform in one multi-video platform data, and content including the determined recommended title data can be automatically uploaded to the target video platform at the determined recommended upload time. .

An integrated content management system in a multi-channel network according to an embodiment of the present invention includes a terminal for producing content; a video platform that consumes the content; and a computing device uploading content produced by the terminal to the video platform, wherein the computing device collects multi-video platform data and receives a request to execute an application for a multi-channel network service from the terminal. By providing a studio system for processing content to the terminal, automatically adding the content processed through the provided studio system to the upload waiting list, and based on the collected multi-video platform data, automatically added to the upload waiting list At least one recommended title data set for content may be provided, and content including the determined recommended title data may be automatically uploaded to a multi-video platform.

Content integrated management system in a multi-channel network according to another embodiment of the present invention, the terminal for producing content; a video platform that consumes the content; and a computing device uploading content produced by the terminal to the video platform, wherein the computing device collects multiple video platform data and, when content is received from the terminal, studio for processing the content to the terminal. A system is provided to automatically add content processed through the provided studio system to an upload waiting list, and based on the collected multi-video platform data, at least one recommended title for the content automatically added to the upload waiting list. A recommended upload time data set is provided based on the data set and the traffic data learning result of the target video platform within the collected multi-video platform data, and the content including the determined recommended title data is automatically transferred to the target video platform at the determined recommended upload time. can be uploaded to

According to an embodiment of the present invention, there is an effect of more convenient and easy management of contents by supporting various contents production and provision environments in a multi-channel network.

1 is a schematic diagram of a content integrated management system processed in a multi-channel network according to an embodiment of the present invention.
2 is a flowchart illustrating a content integration management method in a multi-channel network according to an embodiment of the present invention.
3 is a diagram illustrating an apparatus for integrated content management in a multi-channel network according to an embodiment of the present invention.
4 is a diagram illustrating a first dashboard for integrated management of content in a multi-channel network according to an embodiment of the present invention.
5 and 6 are diagrams illustrating a dashboard for integrated management of content in a multi-channel network according to another embodiment of the present invention.
7 and 8 are diagrams illustrating a dashboard for integrated management of content in a multi-channel network according to another embodiment of the present invention.
9 and 10 are diagrams illustrating a creator information area for integrated management of content in a multi-channel network according to an embodiment of the present invention.
11 is a diagram for explaining a video upload method for integrated management of contents in a multi-channel network according to an embodiment of the present invention.
12 is a diagram for explaining a video comparison method for integrated content management in a multi-channel network according to an embodiment of the present invention.
13 is a flowchart illustrating a method of providing titles optimized for content that is integratedly managed in a multi-channel network according to an embodiment of the present invention.
14 is a diagram for explaining a method of providing a title optimized for content that is integratedly managed in a multi-channel network according to an embodiment of the present invention.
15 is a diagram for explaining a method of recommending an upload time optimized for content that is integratedly managed in a multi-channel network according to an embodiment of the present invention.
16 is a diagram for explaining a method for recommending an upload time optimized for content that is integrated and managed in a multi-channel network according to an embodiment of the present invention.
FIG. 17 is a diagram for explaining a method of providing titles optimized for content under integrated management in a multi-channel network and recommending an optimized upload time according to an embodiment of the present invention.
18 is a configuration block diagram of a content integrated management device in a multi-channel network according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, embodiments will be described in detail so that those skilled in the art can easily carry out the embodiments. However, embodiments may be implemented in various forms and are not limited to the embodiments described herein. And, in order to clearly describe the embodiments in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts.

As for the terminology, general terms that are currently widely used are selected as much as possible while considering functions according to various embodiments, but they may vary depending on the intention of a person skilled in the art or a precedent, the emergence of a new technology, and the like. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding embodiment. Therefore, the term used herein should be defined based on the meaning of the term and the content described herein, not simply the name of the term.

Expressions in the singular number include plural expressions unless the context clearly dictates otherwise. Terms such as "comprise" or "have" are intended to designate that a feature, number, step, operation, component, part, or combination thereof exists, but that one or more other features, numbers, steps, operations, or configurations exist. It should be understood that it does not preclude the possibility of the presence or addition of elements, parts, or combinations thereof. In particular, the numerals are examples intended to aid understanding and should not be construed as limiting the embodiments by the recited numerals.

Terms such as "-unit", "-group", and "module" refer to a unit that processes at least one function or operation, and may be implemented as hardware or software or a combination of hardware and software.

Terms such as "first" and "second" are used to describe various elements, but these elements are not limited by the terms. Terms such as "first" and "second" are used only to distinguish one element from another element. Accordingly, it goes without saying that the “first component” referred to below may also be the “second component” within the technical concept of the embodiment.

An expression such as "at least one" modifies the list of elements as a whole and does not modify the elements of the list individually. For example, "at least one of A, B, and C" means only A, only B, only C, both A and B, both B and C, both A and C, all A and B and C, or combinations thereof. points to

In the present specification, various embodiments of a method, apparatus, and system for integrated content management in a multi-channel network (MCN) according to the present invention will be described. At this time, the multi-channel network may include a method, device, and system for supporting creators' content creation and editing, and for integrated management so that the processed content can be provided to various video platforms. can

Hereinafter, a 'terminal' described in this specification includes all types of devices capable of producing and uploading content by creators, and a 'video platform' may include all types of entities that consume content. .

In addition, 'contents' described herein below refer to content that is uploaded to at least one video platform and viewed (or consumed) by viewers (or consumers). Such content is not limited in data format, and may be formed in, for example, video (or image) only, audio only, text only, or any combination of the above data formats.

Hereinafter, various embodiments according to the present invention will be described with reference to the accompanying drawings, as follows.

Figure 1 is a schematic diagram of a content integrated management system 1 processed in a multi-channel network (MCN) according to an embodiment of the present invention.

Referring to FIG. 1, a content integrated management system 1 processed in a multi-channel network (MCN) according to an embodiment of the present invention includes a terminal 10, a computing device 20, and a video platform 30. can be configured to include However, in FIG. 1, for convenience of description, only the core components of the integrated content management system 1 are briefly illustrated and described, and the present invention is not necessarily limited thereto.

Hereinafter, even if described as 'terminal 10', 'computing device 20', and 'image platform 30', they may have multiple meanings depending on the context. In addition, each component of the content integrated management system 1 of FIG. 1 may perform data communication or data processing directly in the corresponding configuration, but if necessary, at least one other electronic device connected therewith may be used. Through this, data communication may be performed or data may be processed.

The terminal 10 may shoot or create content to be uploaded to the video platform 30 and consumed. Depending on the embodiment, the terminal 10 may have a device for only capturing content, a device for editing or creating captured content, or a combination of the aforementioned devices. Even though it is expressed as a device above, it may be a hardware component such as a built-in or attachable sensor as a part of the terminal 10 or a software component such as a program or application for it.

Depending on the embodiment, the terminal 10 preferably has a built-in keyboard, an image capture module, an audio input module, or the like, or is connectable thereto.

Referring to FIG. 1 , a terminal 10 may include one or more terminals (eg, terminal 1, terminal 2, ?? , terminal n, where n is a positive integer). Each of the n terminals shown in FIG. 1 or at least two or more terminals among the n terminals correspond to one user, that is, a creator (or his/her account), and may support him.

Depending on the embodiment, the terminal 10 may be any one of fixed terminals such as PCs, TVs, kiosks, and digital signage, and mobile terminals such as smart phones, tablet PCs, wearable devices, and digital photographing devices. However, the present invention is not limited to the above examples.

Depending on the embodiment, the terminal 10 may be a dedicated device for primary processing such as content shooting, editing, and creation.

The video platform 30 may include all types of platforms capable of supporting or processing contents uploaded by the terminal 10 so that subscribers or viewers of the corresponding platform can consume them.

Referring to FIG. 1 , the video platform 30 may include one or more video platforms (eg, video platform 1, video platform 2, ?? , video platform m, where m is a positive integer). . This is for convenience of explanation, and each video platform belonging to the video platform 30 does not need to be closely related to each other, and there is no limitation by country, region or location.

The computing device 20 may support data communication between other components constituting the integrated content management system 1, that is, the terminal 10 and the video platform 30 in a multi-channel network (MCN).

The computing device 20 provides various software/hardware configurations including a studio system for content processing of the terminal 10 belonging to or using the integrated content management system 1 in a multi-channel network (MCN). can

According to an embodiment, the computing device 20 is a hardware/software configuration that performs various operation(s) for integrated content management in a multi-channel network (MCN) according to an embodiment of the present invention, and includes a processor , controller, control device, etc. may be named and described.

Depending on the embodiment, the computing device 20 may include or be connected to a memory or database for temporarily storing software, firmware, data, and the like, such as instructions and programs necessary for performing the above operations. there is. The memory or database may be plural.

According to an embodiment, the computing device 20 may be a cloud (Cloud) 　 server, IMS (IP Multimedia Subsystem) 　 server, telephony application (Telephony Application) 　 server, IM (Instant Messaging) 　 server, MGCF (Media Gateway Control Function) 　 server, MSG It may be any one of (Messaging Gateway) 　 server, CSCF (Call Session Control Function) 　 server, and the like.

In the multi-channel network (MCN) shown in FIG. 1, each component constituting the integrated content management system 1 may perform data communication with each other according to a wired/wireless communication protocol. The wireless communication protocol has already been implemented or commercialized, including 3G (generation), LTE (Long-Term Evolution), LTE-A (advanced), 5G as well as Bluetooth ^TM , Wi-Fi, etc. It includes all of various wireless communication protocols to be implemented or commercialized in the future.

On the other hand, although not shown, each component of the integrated content management system 1 in the multi-channel network (MCN) shown in FIG. 1 is augmented reality (AR), virtual reality (VR) in the content processing process. ), block-chain, etc. ICT (Information & Communication Technology) technologies can be used, or technologies such as machine learning and deep-learning can be used. However, for convenience, detailed descriptions thereof refer to known technologies, and detailed descriptions thereof are omitted here.

Next, content integration management in a multi-channel network (MCN) will be described.

2 is a flowchart illustrating a content integration management method in a multi-channel network (MCN) according to an embodiment of the present invention.

3 is a diagram illustrating an apparatus for integrated content management in a multi-channel network (MCN) according to an embodiment of the present invention.

4 is a diagram illustrating a first dashboard for integrated management of content in a multi-channel network (MCN) according to an embodiment of the present invention.

5 and 6 are diagrams for explaining a dashboard for content integration management in a multi-channel network (MCN) according to another embodiment of the present invention.

7 and 8 are diagrams for explaining a dashboard for content integration management in a multi-channel network (MCN) according to another embodiment of the present invention.

9 and 10 are diagrams illustrating a creator information area for integrated content management in a multi-channel network (MCN) according to an embodiment of the present invention.

11 is a diagram for explaining a video upload method for integrated content management in a multi-channel network (MCN) according to an embodiment of the present invention.

12 is a diagram for explaining a video comparison method for content integrated management in a multi-channel network (MCN) according to an embodiment of the present invention.

For better understanding of the present invention and convenience of description, the method shown in FIG. 2 will be described as being performed by the computing device 20 for integrated management of content in a multi-channel network (MCN) as an example. However, some or all of the processes shown in FIG. 2 may be processed by other devices. Depending on the embodiment, all or part of the processes shown in FIG. 2 may be performed simultaneously or in a different manner from the shown order.

Referring to FIG. 2 , a content integrated management method in a multi-channel network (MCN) performed by a computing device 20 will be described.

The computing device 20 may collect multi-image platform data (S10).

In this case, the multi-image platform may indicate a plurality of image platforms. The computing device 20 may collect, process, and store the collected multi-image platform data by classifying them for each platform. The computing device 20 may collect creator, channel, and user data for each platform. Depending on the embodiment, the computing device 20 may collect, process, and store the collected multi-image platform data according to predefined criteria such as data format, size, type (or category), and the like. Depending on the embodiment, the computing device 20 may store data collected from a plurality of image platforms as raw data or store data after processing. In the latter case, the computing device 20 may add attribute information such as timestamp, category, data format, size, etc. to the collected multi-view platform data, and may take the form of an attribute tag. The computing device 20 may process and store the collected multi-image platform data by adding weights according to a predefined criterion. The weight may be determined in relation to, for example, a creator, a platform, a real-time search ranking, traffic, and the like.

According to an embodiment, the computing device 20 may generate a learning model based on the collected multi-image platform data, learn through machine learning or deep learning, and transmit the learning result in a multi-channel network (MCN). It can be used for content integration management. In this regard, the computing device 20 may use technologies such as object recognition, recognized object cropping, and motion detection when the collected multi-image platform data is an image or a video. The computing device 20 may use a voice recognition technology such as speech to text (STT) when the collected multi-image platform data is audio, and a text to speech (TTS) technology when the collected data is text.

Meanwhile, the collection may be performed using a crawling technique or using an API (Application Program Interface), but is not limited thereto. Depending on the embodiment, the collection may be performed by accessing a public database (public DB) that separately collects and stores data on the platform.

In addition, the computing device 20 may continuously collect and update data at a predetermined period/non-period.

The computing device 20 may receive content from the terminal 10 (S20). Step S20 is a process of receiving content produced by the creator, for example, raw data, pre-processing data, production data, primary processing data, etc., from the terminal 10, which is a studio system This is the stage before application or use of the studio system.

The computing device 20 may provide a studio system for processing the received content to the terminal 10 (S30).

The computing device 20 may automatically add the content processed through the provided studio system to the upload waiting list (S40).

The computing device 20 may automatically upload (individual) content automatically added to the upload waiting list to the multi-video platform based on the collected multi-video platform data (S50). In this case, the multi-image platform may represent at least one image platform among the plurality of image platforms. Related details will be described later with reference to FIG. 11 .

The process of adding to the upload waiting list and automatically uploading to a multi-video platform in steps S40 and S50 will be described later with reference to FIG. 11 .

Depending on the embodiment, the process of FIG. 2 described above may be considered to be performed in the web or virtual space rather than the terminal 10 .

Depending on the embodiment, unlike the case shown in FIG. 2, when the corresponding process is performed in the terminal 10 rather than the web or a separately defined virtual space, the above-described step S20 is performed from the terminal 10 to the computing device 20. Instead of transmitting the content, the creator executes an application or program related to the multi-channel network (MCN) on the terminal 10, calls or reads the content stored in the memory of the terminal 10 through the studio system, and It is also possible to perform processing such as editing for . In this case, the steps S20 and/or S30 may be replaced or omitted by a process in which the computing device 20 receives a content processing request or a request to execute an application or program related to a multi-channel network (MCN) from the terminal 10. there is. Meanwhile, the terminal 10 may download and install an application or program related to the multi-channel network (MCN) in advance. At this time, the application or program related to the multi-channel network (MCN) is produced by the computing device 20, may have been distributed.

Depending on the embodiment, the computing device 20 may temporarily store the processed content in step S40 by automatically adding it to the upload waiting list. At this time, the computing device 20 does not store the contents automatically added to the upload waiting list in a built-in memory or database, but in another storage located remotely, and stores address data related to the stored location (eg, url (uniform resource locator), etc.) can be recorded and stored. By doing so, the capacity of the server associated with data storage can be reduced. Therefore, in this case, when the content processed in step S40 is automatically added to the upload waiting list, notification information related to being automatically added to the upload waiting list is provided to the terminal 10, and the terminal 10, as shown in FIG. You can check it through the screen. The computing device 20 may determine content to be automatically uploaded to the multi-video platform among the contents automatically added to the upload waiting list in step S50, and process the determined content to be automatically uploaded to the multi-video platform. At this time, if the determined content is stored remotely and has only address data, the computing device 20 accesses the address data, directly downloads the content, uploads it to a multi-image platform, or stores the address data. It can be controlled so that it is directly uploaded to the multi-video platform, or it can be linked by transmitting corresponding address data to the multi-video platform. In the case of the link, when the corresponding content is consumed for the first time, it can be consumed in a download or streaming method on a corresponding multi-video platform based on link information. On the other hand, in this case, in order to solve inconveniences such as playback delay due to download or streaming, if necessary, it may be downloaded when data transmission efficiency is high by using a preload technique or traffic data.

Referring to FIG. 3 , computing device 20 may include studio system 310 . The studio system 310 includes a data management system (dashboard) 320, a platform (API network module) 330, 360, a crawling module 340, a multi-image platform 350, and an anti-compilation system 370. ), and an automatic upload system 380.

The studio system 310 can be viewed as one platform provided by a multi-channel network (MCN), through which the terminal 10 and at least one video platform 30 can be connected. In other words, the studio system 310 may engage in all necessary processes before a creator uploads content to multiple video platforms and provide necessary functions or data.

Each component of FIG. 3 may be a hardware configuration that drives a program or software for executing or performing a related function. Depending on the embodiment, the configurations shown in FIG. 3 are modules for programs or software for performing functions and may be implemented by one hardware configuration. In other words, FIG. 3 is only for describing separately in relation to functions, but is not limited thereto.

For convenience, each of the modules shown in FIG. 3 will be described. The studio system 310 is a module including tools for processing creator's content in order to upload it to multiple video platforms. The processing is meant to include editing and various processing processes such as data format change, thumbnail resizing, and text addition. Meanwhile, the studio system 310 may provide appropriate tools corresponding to each video platform to be uploaded later based on collection information on multiple video platforms or information on multiple video platforms.

Depending on the embodiment, all other components shown in FIG. 3 may be viewed as sub-components of the studio system 310 or as functions of the studio system 310 . For example, a dashboard 320 or an automatic upload system 380 or tools therefor may be provided through the studio system 310 .

The data management system 320 may manage and provide dashboard(s) for convenience of use when a creator uses a multi-channel network (MCN).

Dashboard configurations or functions may refer to FIGS. 4 to 8 , for example.

For convenience of explanation, the first dashboard of FIG. 4 is a general dashboard, the second dashboards of FIGS. 5 and 6 are a video dashboard, and the third dashboards of FIGS. 7 and 8 are a platform dashboard. can do.

First, referring to FIG. 4 , the first dashboard displays information related to a multi-channel network (MCN) in a first area 410, for example, the total number of subscribers, total number of IPs/CNs, total views, and total video uploads. You can post information such as The first dashboard may post information about a hot creator among creators using a multi-channel network (MCN) in the second area 420 . The creator information may be sequentially arranged and provided according to a value unit, for example, a standard such as day, month, quarter, and year. The first dashboard may post a chart board for creators using a multi-channel network (MCN) in the third area 430 .

Next, the video dashboard of FIGS. 5 and 6 will be described. Unlike the configuration of the first dashboard of FIG. 4 described above, it may be a dashboard configured based on video or video content.

Referring to FIG. 5, it shows an embodiment of the configuration of the second dashboard, that is, the video dashboard, in relation to the multi-channel network (MCN) in the first area 510, the platform being used, all channels, and all IPs. , information about the total number of videos, etc. is provided. The first area 510 provides tools for a search function, through which a specific video platform can be selected, a search period can be selected, and a search word or search criteria such as video title, creator name, channel name, etc. can be entered. can In the second area 520, among video contents of creators using the multi-channel network (MCN), video contents with the highest number of views this week are sorted and provided, and in the third area 530, creators using the multi-channel network (MCN) are provided. Information about a list of video contents deleted from a predetermined platform(s) among video contents of the video contents is provided, and in the fourth area 540, a list of rapidly rising video contents may be arranged and provided.

On the other hand, referring to FIG. 6, the configuration of the video dashboard is shown when the search function is used in the first area 510 of FIG. 5, and the search result list can be sorted and provided in the second area 610. . The search result list may be sorted and provided according to the most number of hits or consumption or other settings.

Finally, referring to the platform dashboard of FIGS. 7 and 8, unlike the configuration of the first dashboard of FIG. 4 and the video dashboard of FIGS. 5 and 6, creators using a multi-channel network (MCN) or their It can be a dashboard configured to post per-platform or platform-specific information in relation to content.

Referring to FIG. 7, it shows an embodiment of the configuration of the third dashboard, that is, the platform dashboard, and information about the platform used by creators using the multi-channel network (MCN) in the first area 710, that is, the platform , information on total channels, total IPs, total number of subscribers, etc. is provided. Detailed information on the platform of the first area 710 may be provided in the second area 720 .

On the other hand, referring to FIG. 8 , the platform dashboard may be configured to provide detailed information on a specific platform selected through the first area 710 or the second area 720 of FIG. 7 . In the first area 810, information on active channels of corresponding platforms and the total number of videos of creators using the multi-channel network (MCN) is provided, and in the second area 820, creators using the multi-channel network (MCN) are provided. In the third area 830, a list of information related to popularity on the corresponding platform is sorted and provided, and in the third area 830, a list of information about the most consumed video content on the corresponding platform of creators using the multi-channel network (MCN) is sorted and provided. can

Meanwhile, when hovering or selecting each area or information or list provided in each area in FIGS. 4 to 8 described above, related detailed information may be provided or corresponding video content may be reproduced and provided in the form of a pop-up window.

Referring back to FIG. 3 , the platforms (API network modules) 330 and 360 and the crawling module 340 are modules that collect various data about the multi-image platform 350 .

The anti-compilation system 370 may process the collected data.

The automatic upload system 380 may automatically add content requested to be uploaded by a creator to an upload waiting list according to a predefined method, as shown in FIG. 11, and then automatically upload to a multi-video platform. . This will be described later with reference to FIG. 11 .

9 to 10 show screen configurations focused on individual creators using a multi-channel network (MCN).

First, referring to FIG. 9 , in the first area 910, personal information about the creator, such as channel name and affiliation, category information, and creator activity information such as the total number of views, total number of subscribers, and total number of likes are provided. can In the second area 920 , activity change information of the creator, such as the number of views, the number of subscribers, and the number of likes, may be provided. Access token validity state information may be provided in the third area 930 .

On the other hand, referring to FIG. 10 , in the first area 1010, recently uploaded content information lists may be sorted and provided. In the second area 1020, the number of views and content reports may be provided. Referring to FIG. 10 , a comparative analysis result report on the percentage of platforms based on the number of views and the percentage of platforms based on subscribers may be provided. Meanwhile, the comparative analysis result report of the second area 1020 may be provided in the form of an image such as a histogram or a graph so that the creator can more intuitively identify the comparative analysis result.

In FIG. 11, a content upload process using the studio system 310 described in FIGS. 2 and 3 will be described.

Content upload according to an embodiment of the present invention is in the form of using the studio system 310 to automatically add the content finally requested by the creator to the upload standby system first, and then automatically upload it to at least one video platform. made, but is not necessarily limited thereto.

In the case of FIG. 11, one video platform is shown as an example for convenience, but unlike the above, when a content upload request is received by a creator, the requested content is not automatically added to the upload waiting list, but the determined platform ( s) can be made in a way of automatically uploading to.

Referring to FIG. 11 , a tool for selecting an image platform may be provided in the first area 1110 . In the second area 1120, a waiting list for content upload requested by the creator is provided, and in the third area 1130, content selected or determined from the content upload waiting list in the second area 1120 is automatically uploaded. A list may be provided.

In FIG. 11 , automatic addition refers to being automatically added to the upload waiting list when a content upload request is made by a creator, and this may be done simultaneously with the upload request. In this way, by automatically adding to the upload waiting list, creators can have the opportunity to review, re-edit, or cancel upload requests for the content to be uploaded before automatic upload, so that content containing errors or problematic content can be removed. Problems caused by immediate uploading can be prevented in advance. In the upload standby list step, the computing device 20 may resize the thumbnail image of the content selected by the creator, or may select and provide a thumbnail image of the content if the creator does not select it. Depending on the embodiment, in the step of waiting list for upload, the computing device 20 may provide convenience of a final review before automatic upload by providing detailed information on the content requested to be uploaded by the creator. At this time, the detailed information on the content refers to the thumbnail image of the content, the format of the content, the title of the content, information on the video platform to upload the content to, the size of the content, the playback time of the content, the selected upload video platform or It may include at least one of recommendation information for an optimal upload video platform among multiple video platforms, content title recommendation information, content category or other property information, content video platform specifications or conditions, or problem information. The detailed information on the content may further include remaining time or estimated time until the content requested to be uploaded is automatically added to the corresponding video platform, and immediate addition request information. In addition, if a predetermined content in the upload waiting list step is selected, detailed information about the uploaded platform, number of views, etc. for the same or similar content as the selected content of another creator belonging to the multi-channel network (MCN) can be provided. . Related contents will be described later with reference to FIG. 12 .

Meanwhile, in FIG. 11, the content list included in the upload waiting list of the second area 1120 is moved to the third area 1130 through a drag & drop method, so that automatic upload or immediate upload is performed. can

The third area 1130, that is, the upload result step automatically uploads the content selected or determined from the content list included in the upload waiting list of the second area 1120 to the video platform requested or judged, and 'upload' Automatic upload execution results such as 'success' or 'upload failure' can be provided. Depending on the embodiment, the result of performing the automatic upload may report upload success or upload failure, as well as whether to stop uploading, wait for uploading, or resume uploading. Meanwhile, the automatic upload process may be provided in the form of a bar so that the progress of the automatic upload can be identified. Depending on the embodiment, in the case of an automatic upload result, upload failure, upload delay, upload interruption, etc., a detailed result report for the corresponding reason may be provided. In the case of providing the detailed result report, even if it is not a case of a non-content problem such as network conditions, information on a problematic part may be provided.

In FIG. 12 , the computing device 20 may provide creator activity comparison data, content comparison data, and the like.

Referring to FIG. 12 , a first area 1210 may represent activity comparison data of creators. For example, activity comparison data for all content of a creator using a multi-channel network (MCN) or content included in comparison target lists may be provided in the second area 1220 to be described later. In the second area 1220, information on a plurality of contents of the creator himself and/or other creators may be provided. Information on the content included in the comparison target list is provided to the second region 1220 through the Add item provided in the second region 1220, and the first region 1210 provides information on the content included in the comparison target list. Comparison data can be provided. Here, the comparison data includes the number of contents search or consumption during a predefined period, and may be provided in the form of a graph for the creator's intuitive recognition convenience.

Depending on the embodiment, if the creator's own content is included in the comparison target list, the comparison target content for the creator or another creator using a multi-channel network (MCN) may be recommended and provided. In this case, the recommendation may be made with reference to the platform, content properties, and the hottest creator or content among creators using the corresponding platform or multi-channel network (MCN).

Although not shown, recommendation information related to a corresponding content or a theme of interest may be provided by referring to a result of recommendation or comparison and a result of learning by the computing device 20 . Depending on the embodiment, based on a comparison result, a learning result, etc., guide information on contents production, etc. may be provided as recommendation information by referring to a creator with a high number of hits or his contents. For example, this week's hot content theme or content category, the average number of views of the corresponding content theme or category, hot platform information, consumer propensity information for each platform, and the like may be provided.

Hereinafter, in the integrated management of contents in the above-described multi-channel network (MCN) according to the present invention, an embodiment of recommending an optimized title for the contents, and an upload optimized for the target video platform of the contents An embodiment of recommending an optimized uploading time and an embodiment of a combination thereof will be described.

13 is a flowchart illustrating a method of providing titles optimized for content integratedly managed in a multi-channel network (MCN) according to an embodiment of the present invention.

FIG. 14 is a diagram for explaining a method of providing a title optimized for content integratedly managed in a multi-channel network (MCN) according to an embodiment of the present invention.

First, referring to FIGS. 13 and 14, a method of recommending a content title as one of content integrated management methods in a multi-channel network according to an embodiment of the present invention will be described.

Depending on the embodiment, the title may be continuously changed before and after uploading the content to at least one video platform, and accordingly, title recommendation automatically occurs when there is a request for change or according to settings, such as deletion of the corresponding content. It can continue to happen until there is.

Depending on the embodiment, the recommendation of the title may be made when there is some access to the corresponding content, regardless of whether the content is uploaded to at least one video platform. At this time, any access means, for example, content title modification, content content modification or change, content search, content viewing count inquiry, subscribers after content upload or the number of subscribers to the channel exceeds a threshold. It may include at least one or more of changes and the like.

Referring to FIG. 13 , the computing device 20 may collect multi-image platform data (S110). According to an embodiment, the computing device 20 may collect the multi-video platform data through an API and a crawling method, but may include traffic data of each video platform.

When the computing device 20 receives an application execution request for a multi-channel network (MCN) service from the terminal 10 (S120), it may provide the studio system 310 for content processing (S130).

The computing device 20 automatically adds the content processed through the provided studio system 310 to the upload waiting list (S140), and based on the collected multi-image platform data, automatically added to the upload waiting list. At least one recommended title data set for content may be provided, and the content including the determined recommended title data may be automatically uploaded to a multi-video platform (S150).

Depending on an embodiment, the computing device 20 may include a keyword that is text data, a combination of keywords, or a combination of at least one keyword and an emoji, as each of the recommended title data sets.

Depending on the embodiment, the computing device 20 need not necessarily provide the recommended title data set in the form of complete sentences.

According to an embodiment, the computing device 20 suffices to provide at least one or more keywords to the recommended title data set.

According to embodiments, the computing device 20 may provide a plurality of keywords as a recommended title data set. In this case, each keyword may be provided in an order or arrangement according to priority or importance.

According to an embodiment, when a plurality of keywords are provided as a recommended title data set, the computing device 20 may provide each keyword to be accessible. Here, that keywords are accessible may include, for example, changing the order of each keyword or deleting or adding a specific keyword. Depending on the embodiment, when a predetermined keyword is accessed or hovered over, at least one selectable keyword related to the keyword may be recommended and changed according to selection. Depending on the embodiment, when a certain keyword is accessed or hovered over, functions accessible to the corresponding keyword, eg, keyword order change or movement, other keyword recommendation, keyword deletion, keyword change, etc. may be provided.

Depending on the embodiment, when the entire recommended title data set is accessed or hovered, the computing device 20 may provide a completed form of the corresponding recommended title set, for example, a completed sentence.

According to an embodiment, when the entire recommended title data set is accessed or hovered, the computing device 20 converts all forms that can be completed according to the combination of keywords included in the corresponding title data set, that is, all forms that can be combined using the keywords. Recommended title data may be provided. At this time, if the completed form is a combination in an order different from the order of the initial recommended title data set, the keyword combination order of the recommended title data set may be automatically changed and provided according to the selection of the corresponding form.

According to an embodiment, the computing device 20 may include a combination of a corresponding recommended title and thumbnail image data corresponding to the recommended title in each of the recommended title data sets.

Embodiments related to the above-described keyword combinations may be applied in the same or similar manner to combinations of keywords and image combinations and thumbnail image data.

According to an embodiment, the computing device 20, as the at least one recommendation data set, keywords created by the creator, analysis results of chat window conversation contents or comment contents of the corresponding contents, and keywords extracted from the contents themselves It can be automatically generated according to a combination of related content keywords, keywords related to content recommended by the target platform or traffic above a predetermined threshold, and trend keywords of a local search engine.

Depending on the embodiment, the computing device 20 may collect traffic data by referring to categories or attributes of content, determine and provide a data set or data set combination to be recommended based on the collected traffic data.

Referring to FIG. 14 , the computing device 20 uploads content to at least one video platform, continuously monitors the corresponding video platforms, and identifies good and bad keywords from each video platform. (bad keyword) Data can be collected. A tag can be created for the keyword attribute data collected in this way, a learning model can be created based on artificial intelligence or a deep learning algorithm using the generated tag data, and learning can be performed using the created learning model. there is. Data such as a recommended title data set provided for content and access and selection of the recommended title data set may be referred to for generating or learning the learning model. The learning performance result may be reflected in a previously provided recommended title data set for content or/and a recommended title data set to be provided later.

On the other hand, the computing device 20 continuously monitors the uploaded video platform in relation to the content uploaded to the video platform to collect data on the success or failure of the recommended title data set or selected optimized title data or text mining. ), and create success or failure tags. The tag data generated in this way may be reflected in the aforementioned learning model creation or learning.

The computing device 20 may objectively determine which tag data to generate according to a predefined criterion in the above-described monitoring and tag generation process. As such a criterion, for example, the number of subscribers or / and the number of views increase or decrease threshold set by the creator, the number of subscribers or / and the number of views increase or decrease threshold set by the computing device 20, the category or property to which the content belongs Comparison with other contents may be included. In the above, in comparison with other content, at least one content that is most popular within a preset period before and after uploading the target content may be selected. In the above comparison with other content, at least one most popular content and at least one least popular content within a preset period before and after uploading the target content may be selected. In the above, the comparison with other content may include comparing the average number of subscribers or the degree of increase or decrease in the number of views of the selected other content with the degree of increase or decrease in the number of subscribers or the number of views of the target content. In the above, the comparison with other content may include a comparison between the increase in the number of subscribers or the number of views of the selected other content and the decrease in the number of the maximum number of subscribers or the number of views of the selected other content. The foregoing may be reflected in monitoring and tag creation as well as optimal title recommendation data creation.

Meanwhile, the contents of FIGS. 13 and 14 can be applied to each platform, each channel, and each creator. For example, the recommended optimal title data set may be made in units of platforms or channels. Depending on embodiments, an algorithm for a recommended optimal title data set may vary depending on platforms, channels, and creators. That is, different methods may be applied for each platform, each channel, and each creator.

In addition, the above information and FIG. 14 may be used in the same or similar manner to the optimized upload time recommendation method of FIGS. 15 to 17 to be described later.

Next, FIG. 15 is a diagram for explaining a method for recommending an upload time optimized for content integratedly managed in a multi-channel network (MCN) according to an embodiment of the present invention.

16 is a diagram for explaining a method of recommending an upload time optimized for content integratedly managed in a multi-channel network (MCN) according to an embodiment of the present invention.

15 and 16, as one of methods for integrated content management in a multi-channel network according to an embodiment of the present invention, recommend optimal upload timing of content.

For one piece of content, the timing of uploading it to each video platform may be different. For example, the computing device 20 may upload content to a video platform A at a first time and upload the same content to a video platform B at a second time. Therefore, the recommendation of optimal upload timing may differ from platform to platform.

Depending on the embodiment, the computing device 20 may recommend and provide an optimal upload timing considering all video platforms, and upload the corresponding content to all video platforms simultaneously or collectively.

Referring to FIG. 15 , steps S210 to S240 are the same as or correspond to steps S110 to S149 of FIG. 13 , so duplicate descriptions thereof will be omitted.

The computing device 20 provides a recommended upload time data set based on the traffic data learning result of the target video platform in the collected multi-video platform data for the content automatically added to the upload waiting list, and the determined recommended title data. Contents including may be automatically uploaded to the target video platform at the determined recommended upload time (S250).

The computing device 20 may include a first processing unit 1610 and a second processing unit 1620 each having a circular structure. The first processing unit 1610 collects traffic data for each video platform. The second processing unit 1620 determines the optimal upload timing for each video platform based on the traffic data for each video platform collected by the first processing unit 1610, and generates an upload timing recommendation data set according to the determination result. can do. The first processing unit 1610 and the second processing unit 1620 may have a circulation structure to determine improved upload timing by learning by applying or sharing each data. This circulation structure is also applicable to FIG. 14 described above.

Finally, FIG. 17 is a diagram for explaining a method of providing titles optimized for content integratedly managed in a multi-channel network (MCN) and recommending an optimized upload time according to an embodiment of the present invention.

FIG. 17 is a combined form of FIGS. 13 to 16 described above.

As one of the methods for integrated management of content in a multi-channel network according to an embodiment of the present invention, a title optimized for the corresponding content may be recommended and provided, and automatic upload may be performed at an upload timing optimized for each video platform.

Referring to FIG. 17 , steps S310 to S340 are the same as or correspond to steps S110 to S140 of FIG. 13 or steps S210 to S240 of FIG. 14 , so duplicate descriptions thereof will be omitted.

The computing device 20 sets a recommended upload time data set based on at least one recommendation title data set for the content automatically added to the upload waiting list and the traffic data learning result of the target video platform in the collected multi-video platform data. may be provided, and content including the determined recommended title data may be automatically uploaded to the target video platform at the determined recommended upload time (S350).

18 is a configuration block diagram of a content integrated management device in a multi-channel network (MCN) according to an embodiment of the present invention.

An apparatus for integrated content management in the multi-channel network (MCN) of FIG. 18 may be a block diagram of the computing device 20 of FIG. 1 .

An apparatus for integrated management of content in a multi-channel network (MCN) may include a memory 1810 and a processor 1820. At this time, FIG. 2 may be one component of the process 1820 .

The memory 1810 may store various instructions, and as the stored instructions are executed by the processor 1820, corresponding functions may be performed.

The memory 1810 may store data or information generated or processed in the content integration management process in the aforementioned multi-channel network (MCN).

The processor 1820 may read data from the memory 1810 to generate, process, and transmit information.

Methods according to embodiments may be implemented in the form of hardware, software, or a combination of hardware and software. When the embodiment is implemented using software, one or more programs (software, software module) may be used. The program may be included in a computer readable recording medium, but is not limited thereto. A program may be included in a computer program product. A computer readable recording medium storing a program may be included in a computer program product. The program is configured to be executable by one or more processors in the electronic device. The one or more programs may include instructions, and the instructions may be executed by one or more processors included in the electronic device to cause the electronic device to execute methods according to embodiments.

Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer readable media may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism, and includes any information delivery media. Also, some embodiments may be implemented as a computer program or computer program product including instructions executable by a computer, such as a computer program executed by a computer. A plurality of computer-readable recording media may be distributed among computer systems connected by a network, and data stored on the distributed recording media, for example, program instructions and codes, may be executed by at least one computer. there is.

The functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software. When provided by a processor, such functionality may be provided by a single dedicated processor, a single shared processor, or multiple separate processors, some of which may be shared. Further, any explicit use of the terms "processor" or "control unit" should not be construed as referring exclusively to hardware capable of executing software, but without limitation, digital signal processor (DSP) hardware, read-only to store software. It may implicitly include memory (ROM), random access memory (RAM), and non-volatile storage devices.

Steps constituting a method according to an embodiment may be performed in an appropriate order unless an order is explicitly described or otherwise described. Examples are not limited by the order of description of the steps. The use of all examples or exemplary terms (eg, etc.) is merely to describe the embodiments in detail, and the scope of the present disclosure is not limited by the examples or exemplary terms unless limited by the claims. .

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concept of the present invention defined in the following claims are also of the present invention. fall within the scope of the right

Claims (10)

Each step is performed by a computing device,
Collecting multi-image platform data;
Receiving an application execution request for a multi-channel network service from a terminal;
providing a studio system for processing content to the terminal;
automatically adding content processed through the provided studio system to an upload waiting list; and
Based on the collected multi-video platform data, at least one recommendation title data set for the content automatically added to the upload waiting list is provided, and the content including the determined recommended title data is automatically uploaded to the multi-video platform. Step; including,
The title of the content is
It can be changed continuously before and after uploading to at least one video platform, and titles can be automatically recommended when there is a request for change or according to settings,
Recommending this title is,
This is done when there is any access to the content, regardless of whether the content is uploaded to at least one video platform,
The at least one recommended title data set,
Keywords created by creators, analysis results of chat window conversations or comments on the content, keywords related to content related to keywords extracted from the content itself, keywords related to content recommended by the target platform or traffic above a pre-determined threshold, And it is characterized in that it is automatically generated according to the combination of trend keywords of local search engines, but it can be different depending on the platform, channel or creator,
In the recommended title set previously provided or the recommended title data set to be provided later, the computing device uploads content to at least one video platform, continuously monitors the corresponding video platforms, and obtains good and bad keyword data from each video platform. After collecting, creating a tag for the collected keyword data, creating a learning model using the generated tag data, performing learning using the created learning model, and then reflecting the result.
Content integration management method in multi-channel network. According to claim 1,
The multi-image platform data,
Including traffic data of each video platform collected through API and crawling method,
Content integration management method in multi-channel network. According to claim 2,
Each of the above recommended title data sets,
A keyword or a combination of keywords that is text data, or a combination of at least one keyword and an emoji,
Content integration management method in multi-channel network. According to claim 2 or 3,
Each of the above recommended title data sets,
Including a combination of a corresponding recommended title and thumbnail image data corresponding to the recommended title,
Content integration management method in multi-channel network. delete delete delete delete delete delete

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