KR20220079060A - Resource database device for document-based video resource matching and multimedia conversion content production - Google Patents

Abstract

A method according to an embodiment of the present invention includes: a data storage unit for receiving resource content including video, animation, background image, sound, font (font), and layout information, or collecting and storing it through an external network; a metastore database for storing and managing metadata for indexing the big data-based content data of the data storage unit physically stored in the physical environment management unit; a logical model management unit that classifies, stores, and manages resource contents through a metastore database; and an interface unit for performing distributed input/output interface processing of resource content data.

Description

Resource database device for document-based video resource matching and multimedia conversion content production}

The present invention relates to a service providing method and an apparatus therefor. More specifically, the present invention relates to a resource database apparatus for producing a document-based multimedia conversion content for producing a multimedia conversion content by matching an image resource to the converted representation data.

With the recent development of video and content production technology, various personalized multimedia contents are being produced and distributed and consumed through social networking services. In the multimedia content sharing service represented by YouTube, its creators and users are increasing exponentially, and various specialized tools for video content production are also being developed in terms of user convenience.

However, it is still not convenient to use these specialized tools. In order to produce high-quality multimedia contents, the time and technical manpower of experts who use specialized tools well must be input, and the difficulty of material handling for production and production costs are incurred accordingly.

In particular, this problem is more pronounced in the work of converting existing text format documents into multimedia contents in order to enhance information delivery power. In order to produce a text document such as a normal report as video content, collection of related video data, use of specialized tools, technical personnel and time costs of experts are excessively required.

The present invention has been devised to solve the above problems, and by matching, converting, and processing target data such as a normal document, not a multimedia content format, resource matching, conversion and processing according to a preset and learned analysis process, An object of the present invention is to provide a method for constructing a resource database of a multimedia conversion content production service providing device that enables easy, easy and fast production of multimedia conversion content based on target data without the participation of tools or experts, and an apparatus thereof.

In a method according to an embodiment of the present invention for solving the above-described problem, a resource content corresponding to element information of data to be converted is obtained from a resource database and matched to a resource of a service providing apparatus for synthesizing and converting multimedia content A method for constructing a database, comprising: a data storage step of receiving resource content including video, animation, background image, sound, font (font), and layout information, or collecting it through an external network and storing it in a data storage unit; A metastore database storage management step of storing and managing metadata for indexing the big data-based content data of the physically stored data storage unit in the physical environment management unit; Logical model management step of classifying, storing and managing resource contents through a metastore database; and an interface step of performing distributed input/output interface processing of resource content data.

In addition, a service providing apparatus according to an embodiment of the present invention for solving the above-described problems, the input unit to which conversion target data is input; an element information extraction unit for extracting element information from the target data; an interface providing unit that provides a production interface based on image resource matching corresponding to the element information; a content synthesizing/converting unit configured to obtain multimedia converted content by performing multimedia content synthesizing and converting processing according to a user input to the production interface; and an output unit for outputting the multimedia conversion content.

The resource database according to the present invention is a resource database of a service providing apparatus for synthesizing and converting multimedia content by acquiring and matching resource content corresponding to element information of data to be converted from the resource database, image, animation, background a data storage unit that receives resource contents including images, sounds, fonts (fonts) and layout information, or collects and stores them through an external network; a metastore database for storing and managing metadata for indexing the big data-based content data of the data storage unit physically stored in the physical environment management unit; a logical model management unit for classifying, storing, and managing resource contents through a metastore database; an interface unit for performing distributed input/output interface processing of resource content data; includes

On the other hand, the method according to an embodiment of the present invention for solving the above problems may be implemented as a program for executing the method in a computer and a recording medium in which the program is recorded.

According to an embodiment of the present invention, when conversion target data is input, element information can be extracted from the target data, and a production interface can be provided based on image resource matching corresponding to the element information, and a user input to the production interface can be provided. Accordingly, by performing multimedia content synthesis and conversion service, it is convenient to produce multimedia image conversion content converted from target data.

Accordingly, the service providing apparatus according to an embodiment of the present invention may perform resource matching, conversion, and processing of target data such as a normal document, which is not a multimedia content format, according to a preset and learned analysis process, and separate It enables easy, easy, and fast creation of multimedia conversion content based on target data without professional tools or expert participation.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.
2 is a block diagram illustrating a service providing apparatus according to an embodiment of the present invention in more detail.
3 is a flowchart illustrating an operation of a service providing apparatus according to an embodiment of the present invention.
4 is an exemplary diagram of synthesized-converted video multimedia content according to an embodiment of the present invention.
5 is a diagram for explaining a process of converting input data into multimedia content data according to an embodiment of the present invention.
6 to 7 are diagrams for explaining a resource database according to an embodiment of the present invention.
9 is a diagram for describing a manufacturing interface according to an embodiment of the present invention in more detail.

The following is merely illustrative of the principles of the invention. Therefore, those skilled in the art will be able to devise various devices that, although not explicitly described or shown herein, embody the principles of the present invention and are included within the spirit and scope of the present invention. Further, it is to be understood that all conditional terms and examples listed herein are, in principle, expressly intended solely for the purpose of enabling the concept of the present invention to be understood, and not limited to the specifically enumerated embodiments and states as such. should be

Moreover, it is to be understood that all detailed description reciting the principles, aspects, and embodiments of the invention, as well as specific embodiments, are intended to cover structural and functional equivalents of such matters. It should also be understood that such equivalents include not only currently known equivalents, but also equivalents developed in the future, i.e., all devices invented to perform the same function, regardless of structure.

Thus, for example, the block diagrams herein are to be understood as representing conceptual views of illustrative circuitry embodying the principles of the present invention. Similarly, all flowcharts, state transition diagrams, pseudo code, etc. may be tangibly embodied on computer-readable media and be understood to represent various processes performed by a computer or processor, whether or not a computer or processor is explicitly shown. should be

In addition, the clear use of terms presented as processor, control, or similar concepts should not be construed as exclusively referring to hardware having the ability to execute software, and without limitation, digital signal processor (DSP) hardware, ROM for storing software. It should be understood to implicitly include (ROM), RAM (RAM) and non-volatile memory. Other common hardware may also be included.

The above objects, features and advantages will become more apparent through the following detailed description in relation to the accompanying drawings, and accordingly, those of ordinary skill in the art to which the present invention pertains can easily implement the technical idea of the present invention. There will be. In addition, in the description of the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram schematically illustrating an entire system according to an embodiment of the present invention.

Referring to FIG. 1 , a system according to an embodiment of the present invention may include a service providing apparatus 100 , a user terminal 200 , and a multimedia content server 300 .

The service providing apparatus 100 according to an embodiment of the present invention may process the conversion target data from the user terminal 200 as input data, and perform resource matching-based multimedia content conversion of element information corresponding thereto, The converted multimedia content may be output to the multimedia content server 300 and distributed to one or more service user terminals.

To this end, more specifically, the service providing apparatus 100, when the conversion target data is input from the user terminal 200, extracts element information from the target data, and based on image resource matching corresponding to the element information Provides a production interface to the user terminal 200, performs multimedia content synthesis and conversion processing according to a user input to the production interface to obtain multimedia converted content, and transfers the multimedia converted content to the multimedia content server 300 output as

Accordingly, the multimedia converted content converted from the input target data may be distributed to one or more other user terminals through the multimedia content server 300, and the multimedia content server 300 provides various information providing services based on the multimedia converted content. can be processed

The user terminal 200, the service providing apparatus 100, and the multimedia content server 300 may be connected by wire or wirelessly through a network, and each user terminal 200 and the service providing apparatus 100 may be connected to each other for communication between networks. ) and the multimedia content server 300 transmit and receive data through an Internet network, LAN, WAN, PSTN (Public Switched Telephone Network), PSDN (Public Switched Data Network), cable TV network, WIFI, mobile communication network and other wireless communication networks, etc. can do. The user terminal 200 , the service providing apparatus 100 , and the multimedia content server 300 may include respective communication modules for communicating with a protocol corresponding to each communication network.

In addition, the user terminal 200 described in this specification includes a mobile phone, a smart phone, a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), a navigation system, and the like. may be included, but the present invention is not limited thereto, and may be various devices capable of user input and information display other than that.

In such a system, the user terminal 200 may receive a multimedia content conversion service based on resource matching of input data from the service providing device 100 , and may receive an additional information service based on the converted multimedia content data. .

In particular, in extracting element information, the service providing apparatus 100 according to an embodiment of the present invention extracts core element information according to a pattern and statistical similarity of input data to be converted based on text according to a preset natural language processing algorithm. resource matching processing that optimizes matching video, image, text, animation, font (color, size, font), and audio for each frame merge layer using the extracted text-based element information, and matching processing It is possible to provide a production interface using the element information and create optimized multimedia conversion contents based on the frame merge layer according to user input. Market reports, statistical reports, company introductions, commercial flyers, resumes, self-introductions, etc. in various formats General document or image data such as

Accordingly, the service providing apparatus 100 according to an embodiment of the present invention processes the element information extracted through element analysis and image content resource matching even when is input, so that multimedia image content by optimized frame merging is easy Since it can be produced quickly, it is possible to greatly reduce the professional manpower, cost, and time required for the production of multimedia video content, and even non-experts in video editing can use the general document-based method according to the matching suggestion of the service providing device 100 It enables the creation of multimedia video contents.

2 is a block diagram for explaining in more detail an apparatus for providing a service according to an embodiment of the present invention.

Referring to FIG. 2 , the service providing apparatus 100 according to an embodiment of the present invention includes a target data input unit 110 , an element information extraction unit 120 , an image resource matching unit 130 , and a production interface providing unit 140 . ), a content synthesis conversion unit 150 , a learning database 160 , a resource database 180 , and an output unit 170 .

First, the input unit 110 receives target data for multimedia content conversion from the user terminal 200 and transmits it to the element information extraction unit 120 .

The input unit 110 may include one or more input interfaces for receiving target data from the user terminal 200 . For example, the target data may be document data input from the user terminal 200 , and may include data in various formats, such as a report, a company introduction, a self-introduction letter, and a commercial advertisement document. Furthermore, the target data may be a news article document extracted from a specific site, or may include a social media (SNS) document.

In addition, the input unit 110 may process the format identification of the target data input from the user terminal 200 , and the format identification information may be transmitted to the element information extraction unit 120 . The format identification information may indicate, for example, a document type, and various document types such as novels, essays, news articles, drafts, plans, plans, sales reports, settlement reports, and meeting reports may be exemplified.

Also, the input unit 110 may further receive main element data corresponding to the target data. The main element data may include, for example, a key keyword input from the user terminal 200, a report type, company characteristic information, a main company name, a main company name, a main person name, etc., and When the element information is extracted, a weight corresponding to the main element data may be assigned.

The element information extraction unit 120 may extract element information for classifying the input target data into one or more element data matching the image resource.

Here, the element information extraction extracts element data in a text format from the target data using a preset natural language processing algorithm, and transmits the extracted element information to the image resource matching unit 130 .

In particular, the element information extractor 120 may determine a natural language processing process of the target data to match the image resource based on the main element data and format identification information of the target data. Here, the natural language processing process may be exemplified by a text summary process previously learned by a deep learning process.

Accordingly, the element information extracting unit 120 may perform a text summary process, extract important sentences or words from target data, synthesize one or more summary sentences, and output it as element information.

Also, in determining the text summary process, the element information extractor 120 may apply one or more different language models according to the format identification information of the target data. As the language model, an extraction model or a synthesis model may be exemplified, and different models may be determined according to company characteristics and types of documents.

For example, the element information extraction unit 120, when large or medium-sized enterprise information is included in the main element information input in response to the target data, in response to the format identification information of a mass document such as a report or terms and conditions, the target By applying the extraction model to the data, important sentence information in the original text can be extracted as element information.

In addition, the element information extraction unit 120, when the main element information input in response to the target data includes information about small businesses, startups, or creators, the format of small documents such as news columns, lecture materials, lifestyle materials, etc. Corresponding to the identification information, by applying a synthesis model to the target data, important keyword information in the original text is selected and sentence information synthesized as one summary sentence may be extracted as element information.

Accordingly, element information according to an embodiment of the present invention may include one or more important sentence information extracted from target data or obtained based on a synthetic language model. Such sentence information may correspond to a layer unit of one image resource matching frame, and appropriate resource matching may be processed for each sentence information to constitute one image frame layer unit.

And, the image resource matching unit 130, based on the learning database 160 and the resource database 180, performs an optimized resource matching process in response to the element information, and converts the resource matching information into a content synthesis and conversion unit ( 150) and the production interface providing unit 140 .

More specifically, the image resource matching unit 130 performs resource matching processing for content synthesizing transformation corresponding to element information, and the resource for content synthesizing transformation is a background image processed within a preset frame layer unit; It may include various contents such as a background image, background music, layout, motion, and animation, and may be pre-stored in the resource database 180 .

In addition, the resource database 180 may store and manage resource content data received from various content servers connected through an external network. Here, the resource content data may include at least one of content attribute information, content identification information, content link information, and content data information, and the matched resource information is sent to the production interface providing unit 140 or the content synthesis conversion unit 150 . can be transmitted.

In addition, the image resource matching unit 130 may build and utilize the learning database 160 to match more appropriate content corresponding to the element information from the resource database 180 . The learning database 160 may build a relationship learning model for learning relationship information between resource content and element information, and in particular, a weight variable that allows more suitable resource content to be matched in response to the type of target data and main element information. can be set. Accordingly, the image resource matching unit 130 may use the learning database 160 to calculate matching information in which the optimal resource content corresponding to the element information is matched, and the calculated matching information is provided by the production interface providing unit ( 140) and the content synthesis conversion unit 150 .

For example, the image resource matching unit 130 prescribes the background, sound, character type, etc. for each image frame layer unit divided by a predetermined time unit based on the learning database 160 in response to the sentence information of the element information. It can match the built resource database 180 .

The learning database 160 may define a large classification category and a detailed classification category of each sentence information, and by analyzing the correlation between the deep learning learning results of the large classification and the detailed classification, the matched background, sound, or character type of the target document It is possible to arithmetically analyze how probabilistically it is related to the business purpose corresponding to the format.

Accordingly, the image resource matching unit 130 may acquire, as matching information, matching resource contents, such as background, sound, and character type, for which the most optimized correlation is calculated, to the image frame layer unit.

Also, for example, the video resource matching unit 130 according to an embodiment of the present invention may directly create image or audio resource content depicting a sentence of element information, or search in the resource database 180, The generated or searched resource content may be transmitted to the production interface providing unit 140 and the content synthesis converting unit 150 .

In addition, the production interface providing unit 140 configures a production interface capable of synthesizing and converting the content matched by the image resource matching unit 130 based on the matching information, and provides it to the user terminal 200 .

The production interface providing unit 140 transmits the resource content data and resource matching information to an interface application executed in the user terminal 200, or transmits the resource content data and resource matching information through a separate API to the user terminal 200 ), or configure a real-time web production interface based on the resource content data and resource matching information and provide it to the user terminal 200 .

Accordingly, in the user terminal 200, in response to the target data input by the user, element information is extracted, and the image resource is matched to the resource content, and appropriate editing and processing are performed, and a synthesis conversion command is input. can In addition, depending on the settings of the user terminal 200 , a conversion request to the content synthesis and conversion unit 150 may be directly input without separate editing or processing in the user terminal 200 .

The content synthesis and conversion unit 150 synthesizes and converts the target data into multimedia converted content based on the resource content data, resource matching information, and input information of the user terminal 200 .

Accordingly, the multimedia conversion content may include multimedia data in which at least one of an image, a sound, an image, an animation, a subtitle, and a font is synthesized and converted in response to the target data. The synthesized and converted multimedia content may be provided to the production interface providing unit 140 , and may be transmitted to the output unit 170 according to the confirmation or upload input of the production interface providing unit 140 .

The output unit 170 may output the finally determined multimedia converted content as converted content of the target data, which is provided to the multimedia content server 300 and used for various information providing services based on the target data, It may be shared to one or more other user terminals through a social network service.

For example, the information providing service may include a multimedia content conversion service utilizing various document data such as news articles, reports, novels, essays, and blogs, and a multimedia content streaming service based thereon may be exemplified.

In addition, the service providing apparatus 100 according to an embodiment of the present invention processes image resource matching according to element information extraction not only for report data composed of long sentences, but also various newsletters composed of relatively short sentences, online comments, SNS data, etc. It can also be synthesized and converted into multimedia content through

3 is a flowchart illustrating an operation of a service providing apparatus according to an embodiment of the present invention.

Referring to FIG. 3 , first, the service providing apparatus 100 receives conversion target data from the user terminal 200 ( S101 ).

Then, the service providing apparatus 100 extracts element information from the target data (S103).

Thereafter, the service providing apparatus 100 processes image resource matching corresponding to the element information (S105).

Then, the service providing apparatus 100 provides a production interface based on the matched image resource content to the user terminal 200 (S107).

Thereafter, the service providing apparatus 100 performs media content synthesis and conversion processing according to a user input to the production interface (S109).

Then, the service providing apparatus 100 outputs and distributes the converted multimedia content (S111).

FIG. 4 is a diagram illustrating synthesis-converted video multimedia content according to an embodiment of the present invention, and FIG. 5 is a diagram for explaining a process of converting input data into multimedia content data according to an embodiment of the present invention.

First, referring to FIG. 4 , as described above, the element information extraction unit 120 extracts a sentence such as “I went to a wonderful beach and saw seals and wonderful ships on sand rocks on the beach” as a main sentence from the target data. It can be extracted as element information.

In addition, the image resource matching unit 130 may obtain the most appropriate resource content corresponding to the word keyword of each element information from the resource database 180 based on the learning database 160 . For example, a beach image resource corresponding to the beach keyword, a rock image resource corresponding to the beach sand and rock keyword, a seal image resource corresponding to the seal keyword, and a boat image resource corresponding to the boat keyword may be matched.

In addition, the image resource matching unit 130 may match the subtitle, font, and font resource corresponding to the sentence information of the element information, and may perform matching processing with audio converted from the sentence information into an audio resource. In addition, the image resource matching unit 130 may match the animation information corresponding to the sentence information.

Accordingly, the content synthesis and transformation unit 150 corresponds to the image frame layer unit of the preset time period, and the image resource, subtitle, font and font resource, and the sound resource are matched and converted according to layout and animation information. It will be possible to create multimedia content.

For example, multimedia content related to one sentence output as a caption may be reproduced in an image of a frame layer unit section, and the content synthesis and conversion unit 150 converts subtitles, images, and images into an image of a frame layer unit section. Arranged together, they can be synthesized and converted so that the sound is output at a preset timing. The image resource matching unit 130 may match an appropriate content data combination, animation effect, and arrangement of the content synthesis and transformation unit 150 through machine learning technology, deep learning technology, or the like.

This matching process may be understood in more detail with reference to FIG. 5 . As shown in FIG. 5A , target data composed of text is input to the input unit 110 , and element information extraction processing by the element information extraction unit 120 may be performed.

According to the element information extraction process, one or more core sentence data may be extracted as element information as shown in FIG. 5(B), and the image resource matching unit 130 corresponds to the extracted element information in FIG. 4 Based on the matching process as shown in FIG. 5(C), resource content matching with one or more images, sounds, or images stored or linked in the resource database 180 may be processed.

Here, the resource database 180 may be an internal or external database of the service providing apparatus 100 , and resource content service providing servers of well-known service providers may be used as shown in FIG. 5(C) .

And, as shown in FIG. 5(D), the multimedia content synthesized and converted in the content synthesis conversion unit 150 based on the matching information of the image resource matching unit 130 is transmitted through the output unit 170 to the multimedia content server. 300, and may be distributed and shared with other users.

6 to 7 are diagrams for explaining a resource database according to an embodiment of the present invention.

Referring to FIG. 6 , the resource database 180 according to an embodiment of the present invention includes an interface unit 185 , a logical model management unit 181 , a physical environment management unit 183 , a metastore database 183 , and a data storage unit. (184).

In the resource database construction method of a service providing apparatus for synthesizing and transforming multimedia content by acquiring and matching resource content corresponding to element information of data to be converted from a resource database, Image, animation, background a data storage step of receiving resource contents including images, sounds, fonts (fonts), and layout information, or collecting them through an external network and storing them in a data storage unit; A metastore database storage management step of storing and managing metadata for indexing the big data-based content data of the physically stored data storage unit in the physical environment management unit; Logical model management step of classifying, storing and managing resource contents through a metastore database; and an interface step of performing distributed input/output interface processing of resource content data.

According to an embodiment of the present invention, the resource database 180 may classify and label media content data based on meta information, and load it in a form that can be analyzed in the learning database 160, and the resource content Facilitate data sharing.

To this end, the resource database 180 may perform redundant data removal, missing data correction, and abnormal data detection through pre-processing of resource content data, perform a scaling process of pre-processed data, and a well-known Long Short-Term Memory It is possible to perform data classification processing to build the learning database 160 using an algorithm such as models (LSTM).

More specifically, the interface unit 185 performs distributed input/output interface processing of resource content data classified and stored in each of the management units 181 and 182 .

The logical model management unit 181 may classify, store, and manage resource contents through the metastore database 183 . Here, the metastore database 183 may store and manage metadata for indexing the big data-based content data of the data storage unit 184 physically stored in the physical environment management unit 182 . The metadata may include, for example, at least one of classification information for each user, classification information for each function, and storage classification information, and each classification information may correspond to a storage structure of the physically distributed and stored data storage unit 184 . .

For example, the data storage unit 184 may store animation, background image, sound, font (font), layout information, etc. as resource content.

7 is an example of a resource content format stored according to an embodiment of the present invention, illustrating that data type information such as video, sound, image, etc., identifier information, tag information, URL information, virtual hosting URL information, and the like are included. have.

The metastore database 183 may store and manage metadata as shown in Table 1 below as classification information.

Data classification meta information 1 meta information 2 meta information 3 type animation /store /data /animation background image /image acoustic /sound Font (font) /log /realtime Layout information /batch

As shown in Table 1, according to data classification, meta information may be classified by each classification information, and thus, necessary resources may be indexed using meta information.

Accordingly, the resource database 180 according to an embodiment of the present invention can manage the data storage unit 184 of the big data structure that is physically distributed and stored, and stores the necessary resource contents in the meta of the metastore database 183 . The information can be indexed.

Therefore, the resource database 180 according to an embodiment of the present invention is not only for the purpose of storage, but it can be built in consideration of the aspect of loading stored data in a form that can be analyzed and sharing necessary data in various analysis environments. Furthermore, by enabling SQL-based data information inquiry, it is possible to increase the convenience and speed of data access.

9 is a diagram for describing a manufacturing interface according to an embodiment of the present invention in more detail.

Referring to FIG. 9 , the production interface according to an embodiment of the present invention may include a graphic user interface output through the user terminal 200 , and includes a target data input interface 201 , an image editing interface 204 , and , a subtitle editing interface 202 and a sound source editing interface 203 may be included.

In addition, the service providing apparatus 100 according to an embodiment of the present invention may receive text data of a specific document through the target data input interface 201, and the input text data is an element according to a summary button input, etc. It may be used for element information extraction processing in the information extraction unit 120 .

Then, the recommended resource content according to the matching process of the video resource matching unit 130 based on the extracted element information is recommended to each video editing interface 204 , subtitle editing interface 102 , and sound source editing interface 103 . can be proposed as Accordingly, the user terminal 200 may select the recommended resource content to generate the multimedia conversion content.

A user of the user terminal 200 may select resource content in each of the editing interfaces, and input image conversion and SNS upload through the output interface 205 , and accordingly, conversion processing in the content synthesis conversion unit 150 . is performed, and the result may be output to the user terminal 200 or uploaded to the multimedia content server 300 and shared through a preset SNS account.

Meanwhile, the above-described method according to various embodiments of the present invention may be implemented as a program and provided to each server or device while being stored in various non-transitory computer readable media. Accordingly, the user terminal 100 may access the server or device to download the program.

The non-transitory readable medium refers to a medium that stores data semi-permanently, rather than a medium that stores data for a short moment, such as a register, cache, memory, and the like, and can be read by a device. Specifically, the various applications or programs described above may be provided by being stored in a non-transitory readable medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In addition, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention as claimed in the claims Various modifications may be made by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

Claims (5)

In the resource database apparatus of a service providing apparatus for synthesizing and converting multimedia content by obtaining and matching resource content corresponding to element information of conversion target data from a resource database,
a data storage unit that receives resource content including video, animation, background image, sound, font (font), and layout information, or collects and stores it through an external network;
a metastore database unit for storing and managing metadata for indexing the big data-based content data of the data storage unit physically stored in the physical environment management unit;
a logical model management unit that classifies, stores, and manages resource contents through a metastore database; and
an interface unit for performing distributed input/output interface processing of resource content data;
Resource database device for document-based multimedia conversion content production. The method of claim 1,
The metadata includes at least one of classification information for each user, classification information for each function, and storage classification information, and each classification information corresponds to a storage structure of a physically distributed and stored data storage unit.
Resource database device for document-based multimedia conversion content production. The method of claim 1,
The resource database is
It classifies and labels media content data based on meta information, loads it in a form that can be analyzed in the learning database, and stores and manages resource data so that resource content data can be shared.
Resource database device for document-based multimedia conversion content production. The method of claim 1,
The resource database is
Through pre-processing of resource content data, it is possible to remove duplicate data, correct missing data and detect abnormal data, perform the scaling process of pre-processed data, and build a learning database using Long Short-Term Memory models (LSTM) algorithm. to perform data classification processing to enable
Resource database device for document-based multimedia conversion content production. The method of claim 1,
The resource database is
As a resource content format, data type information including video, sound, and image information, identifier information, tag information, URL information, and virtual hosting URL information are indexed as classification information and stored in a data storage unit of a big data structure that is physically distributed and stored to manage
Resource database device for document-based multimedia conversion content production.

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