KR20170009792A - Apparatus and method of contents authoring for fusion contents - Google Patents

Abstract

The present invention provides a content authoring apparatus for a fusion content, comprising: a template database storing a plurality of templates; a content database storing a plurality of contents; a rule base storing a rule for matching at least one content with the templates; a memory where a content authoring program is stored; and a processor performing a program. At this time, in accordance with performance of the program, the processor extracts at least one recommendation template among a plurality of templates based on the rule corresponding to a plurality of contents selected by a user, provides at least one recommendation template, which is extracted, receives a selection signal for selecting one template among the recommendation templates from the user, and arranges a plurality of contents selected by the selected template. The template includes at least one container where a content is arranged and a layout regarding the container. According to the present invention, an optimum template for a fusion content including a plurality of contents can be provided.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a content authoring apparatus and a content authoring apparatus,

The present invention relates to a content authoring apparatus for a fused content and a method for generating a fused content of the content authoring apparatus.

With the spread of smart devices, the kinds of devices that use contents are diversified. As a result, there is a growing demand for fusion content that includes a plurality of contents and is generated to suit various screen sizes.

The fusion content may include a plurality of contents on one screen. Therefore, the layout for arranging a plurality of contents in the template in the fusion content plays an important role in determining the usability and the design atmosphere of the fusion content. Also, depending on the layout of the converged contents, the influence of the transmitted information also changes. Therefore, the fusion content is important in the arrangement and visual consistency of a plurality of contents included in the fusion content.

However, conventional fusion content authoring tools are provided with simple layouts that are simply designed according to generally known layout shapes. Therefore, a user using a conventional fusion content authoring tool must reconfigure based on the template provided. That is, a user who does not have a specific concept of background knowledge or design takes a lot of time to prepare converged contents.

In this regard, Korean Patent Laid-Open Publication No. 10-2014-0130799 (entitled " Web page authoring and system and method for providing authored web page ") discloses an image and a layout included in a web page, Discloses a system light method capable of automatically optimizing and displaying various screen sizes.

SUMMARY OF THE INVENTION The present invention provides a content authoring apparatus and a content authoring apparatus that can provide an optimal template for a fused content including a plurality of contents.

It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

As a technical means for achieving the above technical object, a content authoring apparatus for a converged content according to the first aspect of the present invention includes a template database for storing a plurality of templates, a content database for storing a plurality of contents, A rule base for storing rules for matching the template, a memory for storing the content authoring program, and a processor for executing the program. At this time, according to the execution of the program, the processor extracts one or more recommended templates from a plurality of templates based on a rule corresponding to a plurality of contents selected by the user, provides the extracted one or more recommended templates to the user, Upon receipt of a selection signal for selecting any template among the recommended templates, a plurality of contents selected in the selected template are arranged. And the template includes a layout for one or more containers and containers in which the content is placed.

According to a second aspect of the present invention, there is provided a method for creating a fusion content in a content authoring apparatus, comprising: extracting one or more recommendation templates among a plurality of templates stored in a template database based on a rule corresponding to a plurality of contents selected by a user; Providing the extracted one or more recommended templates to a user; And arranging a plurality of contents selected in the template corresponding to the selection signal upon receiving a selection signal for selecting one of the templates from the user. At this time, the rule is stored in the rule base, matching one or more content and template, and the template includes a layout for one or more containers and containers in which the content is placed.

Since the present invention provides a recommendation template suitable for a user's content, it is possible to quickly and easily generate a converged content more quickly and easily than a conventional content authoring tool.

Further, the present invention can provide uniformity and stability of converged contents. Therefore, the present invention can improve the readability of the converged contents and the information conveying power to be transmitted.

1 is a block diagram of a content authoring apparatus according to an embodiment of the present invention.
Figure 2 is an illustration of templates and modules in accordance with one embodiment of the present invention.
3 is an exemplary view of the layout of a template according to an embodiment of the present invention.
4 is an exemplary view of a container according to an embodiment of the present invention.
5 is an illustration of an example of a converged content according to an embodiment of the present invention.
Figure 6 is an illustration of an example of fusion content authoring according to an embodiment of the present invention.
FIG. 7 is a view illustrating an example of a fusion content authoring process according to an embodiment of the present invention.
8 is a flowchart of a method of authoring a fusion content in a content authoring apparatus according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when a part is referred to as "including " an element, it does not exclude other elements unless specifically stated otherwise.

Further, in the entire specification, the convergent content is content generated by utilizing a plurality of content technologies. For example, the fusion content may be generated using text content, image content, image content, multimedia content, and the like. In addition, the converged contents can be utilized for electronic publishing, e-learning, games, mobile services, and mobile advertisements.

A template defines a layout of one or more contents included in the fusion content. At this time, the template may include a container for arranging each content.

The rule is used to match the template selected by the user with the template stored in the template database. At this time, the rule may be defined as an 'if-then' rule or a look-up table.

Next, a content authoring apparatus 100 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 6. FIG.

1 is a block diagram of a content authoring apparatus 100 according to an embodiment of the present invention.

The content authoring apparatus 100 can generate and provide the user with a fusion content including one or more contents. At this time, the content authoring apparatus 100 may include a template database 110, a content database 120, a rule base 130, a memory 150, and a processor 160.

At this time, the content authoring apparatus 100 corresponds to one embodiment of the present invention. Therefore, the content authoring apparatus 100 can be modified in various ways based on the components shown in FIG.

For example, the content authoring apparatus 100 may include a memory 150 and a processor 160 (not shown) coupled through a communication module (not shown) to one or more of the template database 110, the content database 120, ). ≪ / RTI > That is, the template database 110, the content database 120, and the rule base 130 of the content authoring apparatus 100 may be installed in the content authoring apparatus 100, or may be connected to the content authoring apparatus 100.

The template database 110 stores a plurality of templates. At this time, the template includes a layout of one or more containers and one or more containers capable of placing one or more contents, respectively.

A plurality of templates stored in the template database 110 may be stored by a template developer and a designer. In addition, the template database 110 may be stored after being created by the user, but is not limited thereto.

The content database 120 stores a plurality of contents. At this time, the content may be a text content, an image content, a video content, or a multimedia content. In addition, the content may be fusion content including one or more contents, but is not limited thereto.

The rule base 130 stores the rules that are used so that a user can use the content to create converged content. At this time, the rule is used to match the content selected by the user with the template stored in the template database 110. A rule may be created by an administrator, a template developer, or a designer, and then saved.

The display module 140 may display a template corresponding to the selected content to the user who generates the fusion content. In addition, the display module 140 can display the fusion content generated by merging the contents selected by the user into the selected template when the user selects the template.

The memory 150 stores a content authoring program. At this time, the memory 150 collectively refers to a non-volatile storage device that keeps stored information even when power is not supplied, and a volatile storage device that requires power to maintain stored information.

The processor 160 provides the user with a recommendation template corresponding to one or more content selected by the user. At this time, the processor 160 may extract one or more recommendation templates based on a rule corresponding to the one or more contents selected by the user. The processor 160 then provides the extracted recommended template to the user.

One or more content selected by the user may be temporarily stored in the content workspace. At this time, the content selected by the user may be stored in the content database 120 described above. In addition, the content selected by the user may be uploaded by the user through an input module (not shown) of the content authoring apparatus 100.

The template stored in the template database 110 may include a plurality of modules based on a module grid. At this time, the module is a unit space for generating fusion contents. The template will be described with reference to Figs. 2 and 3.

Figure 2 is an illustration of templates and modules in accordance with one embodiment of the present invention.

The template can divide the background in which the fusion content is placed into a grid. For example, as shown in FIGS. 2A and 2B, the background of the template may include unit space, that is, 96 modules.

The template may be set differently depending on the orientation of the display module 140 that displays the fusion content.

For example, when the fusion content is provided in a long form such as a content reproduced in a general smart phone, the template may be provided in the form of 12 x 8 width, as shown in Fig. 2 (a). In addition, when the content to be fused is provided in a form of a horizontally long shape such as a general PC monitor or a TV, the template may be provided in the form of 8 x 12 horizontally as shown in Fig. 2 (b).

The number or size of the modules included in the template may be set differently or the same depending on the resolution or size of the generated fusion content through the template. In addition, the number or size of modules may be set differently or the same depending on the type of display module 140 in which the fusion content is displayed.

For example, a smartphone that supports high resolution may include a large number of modules as compared to smartphones that support low resolution. In addition, a smartphone having the same resolution but a small size of the display module 140 may include a smaller number of modules than a PC monitor having a large display module 140.

The template may include one or more containers from which the content may be placed. Further, the template may be a layout in which a plurality of containers are arranged.

Containers are placed in one or more modules. The container will be described with reference to Fig.

3 is an exemplary view of the layout of a template according to an embodiment of the present invention.

For example, when displaying one content on the full screen, the template may include one container, as shown in FIG. 3 (a). Further, when displaying a plurality of contents, the template may include a plurality of containers as shown in Fig. 3 (b).

Each container may contain meta information such as the size of the container, the aspect ratio and the location within the template

At this time, the size of the container may be a pixel unit or an absolute length unit such as cm and inch. Alternatively, the size of the container may be a ratio of the entire screen, and may be the number of modules included in the container.

Alternatively, the location in the template of the container may be the coordinates of the module. The position of the container in the template may be determined based on the module grid, but is not limited thereto.

For example, a template can be divided into 9 regions based on a module grid having a size of 3 x 3. Therefore, the position in the template of the container can be represented by coordinate values such as (1, 1), (2, 1) for nine regions. Further, the position in the template of the container may be a predetermined identifier or name for each of the nine regions.

4 is an exemplary view of a container of a template according to an embodiment of the present invention.

The processor 160 may place the content in each of the containers included in the template, as shown in FIG. 4 (a) and 4 (b), templates having the same layout may be defined as different templates according to the types or positions of the containers included in the templates.

5 is an illustration of an example of a converged content according to an embodiment of the present invention.

The processor 160 may generate the converged content by placing the content in each container included in the template. That is, as shown in FIG. 5, the processor 160 can arrange the first contents 500 in the uppermost first container. In addition, the processor 160 may arrange the second to seventh contents matched to the second to seventh containers, respectively.

On the other hand, when the user selects one or more contents, the processor 160 may extract the recommended template based on the meta information of the selected content and the meta information of the container included in the template.

The meta information of the selected content may include the type of the content, the size of the content, the ratio of the content to the width and the length, and the location of the content. At this time, the type of content may be a type of content such as text, image, moving picture, and the like.

In addition, the meta information of the container included in the template may include the size of the container, the ratio of the container to the width and height, and the position of the content, as described above. Further, the meta information of the container included in the template may include the type of the content corresponding to the container.

Processor 160 may compare the similarity between the template (s) stored in template database 110 and one or more content selected by the user. The processor 160 may extract a template similar to one or more contents selected by the user from the templates stored in the template database 110. [ The recommended template extraction process will be described with reference to FIG.

Figure 6 is an illustration of an example of fusion content authoring according to an embodiment of the present invention.

A user may input a signal for selecting a content from the content database 120 or input a signal for directly uploading the content through the input module (S600). The processor 160 may load content selected by the user on the content workspace 600.

For example, the user can select the first content, the second content, and the third content among the plurality of contents included in the template database 110. [ At this time, it can be assumed that the first content is a text content, the second content is an image content, and the third content is a text content.

The processor 160 may select a template matching the content selected by the user in the rule base 130 and the template base 110 (S620).

At this time, the processor 160 may extract a candidate template matching with a user-selected content among a plurality of templates stored in the template database 110 based on the number or type of contents selected by the user before selecting the matching template . For this, the processor 160 may classify the template stored in the template database 110 according to the number of containers included in the template and the meta information of the container included in the template.

In addition, the processor 160 may extract the candidate template to include all or some of the one or more content selected by the user.

For example, if the user has selected three contents, the processor 160 may select a template that can include all three contents as a candidate template based on the number of contents selected by the user. Alternatively, the processor 160 may select a template that includes some of the content selected by the user as a candidate template.

That is, the processor 160 determines whether the first template 610, the second template 620, the third template 630, the fourth template 640, and the fifth template 650 included in the template database 110 A template that may include at least one of a first content selected by the user, a second content, and a third content may be selected as a candidate template.

If three containers are included in the first template 610 and the third template 630, the processor 160 may select the first template 610 and the third template 630 as candidate templates. When two containers are included in the second template 620 and the fourth template 640, the processor 160 may select the second template 620 and the fourth template 640 as candidate templates. However, if more than three containers are included in the fifth template 650, the processor 160 may not select the fifth template 650 as a candidate template.

As such, the processor 160 distributes the second template 620 and the fourth template 640, which include the first template 610 and the third template 630 including three containers, and the two containers, .

Then, the processor 160 may determine the similarity between the extracted four candidate templates and the content selected by the user (S610). At this time, the processor 160 may use the rules stored in the rule base 130. [ The rule stored in the rule base 130 may be a priority of each attribute included in the meta information of the content or a weight of each attribute.

In addition, the processor 160 compares the similarity between the container included in the four candidate templates and the content selected by the user, and finally determines the similarity between the candidate template and the content selected by the user.

Specifically, if the rule matching with the meta information of the first content and the third content is the first rule, the processor 160 may set the first rule as the rule of the first content and the third content. In addition, if the rule matching the meta information of the second content is the second rule, the processor 160 can set the second rule to the rule of the second content.

The processor 160 may compare the similarity of the first content with the first container, the second container, and the third container included in the first template 610 based on the selected rule corresponding to each content.

For example, the processor 160 may calculate the difference between the size of the first container of the first template 610 and the size of the first content. If the calculated difference is within a predetermined error, the processor 160 may determine that the first content matches the first container of the first template 610. [

Alternatively, the processor 160 may calculate the size of the first container of the first template 610 and the similarity to the size of the first content. If the calculated similarity is equal to or greater than a predetermined value, the processor 160 may determine that the first content matches the first container of the first template 610. [

In this manner, the processor 160 can determine that the container and the content match based on the difference in the attribute values of the container and the meta information of the content or the similarity of the attribute values. Alternatively, the processor 160 may calculate the distance and similarity of the size and ratio of the container and the content, and compare the distance and the similarity with the calculated ratio to a predetermined threshold value to determine that the container and the content match .

After determining the similarity between each container and each content included in the first template 610, the processor 160 determines whether the first template 610 is matched based on the similarity and rules between the respective containers and the respective contents It can be judged. At this time, the processor 160 may assign a priority or a weight to specific attributes according to the first rule and the second rule, and calculate a similarity score or determine whether or not to match.

The processor 160 may determine the similarity of the second template 620, the third template 630, and the fourth template 640, which are candidate templates, in the same manner as the contents selected by the user. The processor 160 may calculate the similarity score or determine whether the matching is based on the similarity determination result and the first rule and the second rule.

The processor 160 may select a recommendation template among the candidate templates according to the similarity score or matching of the first template 610, the second template 620, the third template 630, and the fourth template 640 . That is, the processor 160 may extract the first template 610, the second template 620, and the third template 630 among the candidate templates as a recommended template.

Processor 160 may generate sample fusion content such that the user selected content is included in each template for the convenience of the user. The processor 160 may display the sample fusion content generated through the display module 140. [

For example, the processor 160 may generate the sample fusion content so that at least one of the first content, the second content, and the third content is included in the container included in the recommendation template. At this time, the processor 160 can adjust the content selected by the container and the user if the container included in each template and the content selected by the user do not exactly match each other.

When the user inputs a signal for selecting the first template 610 among the recommended templates in which the sample fusion content is generated through the input module, the processor 160 sets the first template 610 to the first content, And third content.

At this time, the user can again input an input signal for controlling the size or the ratio of the container included in the first template 610 through the input module. The processor 160 may display, through the display module 140, the correction result of the template.

When the user completes the calibration and confirms the finally generated template, the processor 160 can use it to generate the fusion content including the first content, the second content and the third content.

On the other hand, similarity may be different depending on which container is placed in which container even in the same template. Thus, the processor 160 may determine similarities to a plurality of combinations of content and containers, and may provide one or more layouts that are highly similar to the template for the user.

5, if the second content 510 includes a description of the seventh content 560, the location of the second content 510 may be a container in which the sixth content 550 is located Can be more suitable.

For this purpose, the processor 160 may calculate the similarity of meta information between contents located in adjacent containers in the template. Then, the processor 160 can arrange the calculated high-similarity contents so that they are adjacent to each other. Through this, the processor 160 can provide an optimal layout to the user.

At this time, as described above, the degree of similarity can be calculated using Jacquard coefficients, Spearman correlation coefficients, Pearson correlation coefficients, and cosine similarity. In addition, the degree of similarity may be calculated based on distances such as humming distance, Euclidean distance, and Chi square distance, which are measures for calculating the distance described above, but are not limited thereto.

Meanwhile, as described above, the rule stored in the rule base 130 may be a weight of each attribute according to the priority or priority of each attribute included in the meta information of the content or the template. Hereinafter, the rules will be described in detail with reference to FIG.

FIG. 7 is a view illustrating an example of a fusion content authoring process according to an embodiment of the present invention.

For example, the user may select the first content 700, the second content 710, the third content 720 and the fourth content 730 in the template database 110. At this time, the first content 700 is a text type, the second content is an image, the third content is an image, and the fourth content is a text.

In addition, the rule base 130 may include a first rule and a second rule. At this time, the first rule is "IF: (kind = text) then: (weight = <position: 0.5, size: 0.3, ratio: 0.2>)". The second rule is "IF: (type = image) then: (weight = <position: 0.2, size: 0.5, ratio: 0.3>)".

In this case, when the content type is text, the first rule is to set the position weight to 0.5, the magnitude weight to 0.3, and the ratio weight to 0.2. In the second rule, when the type of content is an image, the weight of position is set to 0.2, the weight of magnitude is set to 0.5, and the weight of ratio is set to 0.3.

In accordance with the candidate template selection process described above, the processor 160 may select a first template 740 and a second template 750, which are candidate templates, in the template database 110.

The processor 160 can compare the similarities of the candidate templates 740 and 750 selected based on the first rule and the second rule stored in the rule base 130 with the contents 700, 710, 720 and 730 selected by the user . At this time, the processor 160 compares the similarities of the respective containers included in the candidate templates 740 and 750 with the contents 700, 710, 720, and 730 selected by the user and finally outputs the candidate templates 740 and 750 ) And the similarity of the content 700, 710, 720, 730 selected by the user.

Specifically, the processor 160 may set the first rule to the rules of the first content 700 and the fourth content 730, in which the type of the content is text. In addition, the processor 160 may set the second rule to the rules of the second content 710 and the third content 720, in which the kind of the content is the image.

The processor 160 then sets each container included in the first template 740 and the first content 700, the second content 710, the third content 720 and the fourth content 730 ) Can be calculated. The processor 160 may compare the similarity between the first template and the content selected by the user by merging the distance or the similarity between each of the calculated containers and each content.

In the same way, the processor 160 sets each container included in the second template 750 and the first content 700, the second content 710, the third content 720, and the fourth content 720, (730). &Lt; / RTI &gt;

The processor 160 determines whether or not the corresponding template is the first content 700, the second content 710, the third content 720, and the third content 720, which is the case where the degree of similarity is the highest or the difference in distance is within a predetermined error range. As a template for the fourth content 730. [

For example, the processor 160 calculates the similarity of the first template 700, the second content 710, the third content 720, and the fourth content 730 and the first template 740 to 50% can do. The processor 160 may calculate the degree of similarity between the first content 700, the second content 710, the third content 720 and the fourth content 730 and the second template 750 to 75% . The processor 160 can select the second template 750 having the highest similarity among the two calculated templates 740 and 750 as a template for the contents 700, 710, 720, and 730 selected by the user.

The processor 160 may generate fusion content based on the content 700, 710, 720, 730 and the second template 750 selected by the user.

Next, referring to FIG. 8, a method of authoring a fusion content in the content authoring apparatus 100 according to an embodiment of the present invention will be described.

FIG. 8 is a flowchart of a method for authoring a fusion content in a content authoring apparatus 100 according to an embodiment of the present invention.

The content authoring apparatus 100 extracts one or more recommended templates from the template database 110 based on rules corresponding to a plurality of contents selected by the user (S800).

At this time, the template includes a layout for one or more containers and containers.

In addition, the rule may be stored in the rule base 130. The rule may include any one of a priority and a weight for the meta information of the content. Alternatively, the rule may include any one of a priority and a weight for the meta information of the container.

Then, the content authoring apparatus 100 provides the extracted recommended template to the user (S810).

The content authoring apparatus 100 arranges a plurality of contents in the selected template when the user selects one of the recommended templates (S820).

At this time, the content storage apparatus 100 may arrange at least one of the selected plurality of contents in a contenter included in a template corresponding to a user's selection signal.

Meanwhile, in order to extract one or more recommended templates, the content authoring apparatus 100 may extract a recommended template based on the meta information of the container matched with the meta information of the content.

Specifically, the content authoring apparatus 100 can compare meta information of a plurality of contents selected based on the rule with meta information of a container included in a plurality of templates. Then, the content authoring apparatus 100 can extract a recommended template based on the comparison result.

At this time, the meta information of the content may include the type of the content, the size of the content, the ratio to the width and height of the content, and the position of the content in the template. The meta information of the container may include, but is not limited to, the type of content matched with the container, the size of the container, the ratio of the container to the width and height, and the position of the container in the template.

The content authoring apparatus 100 for a converged content and the converged content authoring method for a content authoring apparatus 100 according to an embodiment of the present invention provide a recommendation template suitable for a user's content, Fusion content can be created quickly and easily.

In addition, the content authoring apparatus 100 and the content authoring apparatus 100 for authoring a converged content can provide uniformity and stability of the converged contents. Therefore, the content authoring apparatus 100 and the content authoring apparatus 100 for authoring a converged content can improve the readability of the converged content and the transmitted information.

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. 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. In addition, the computer-readable medium can 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 any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of those elements or operations may be implemented using a computer system having a general purpose hardware architecture.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Content authoring device
110: Template database
120: Content database
130: rule base
140: Display module
150: Memory
160: Processor

Claims (10)

A content authoring apparatus for a fusion content,
A template database for storing a plurality of templates,
A content database for storing a plurality of contents,
A rule base that stores rules for matching one or more content and templates,
A memory in which the content authoring program is stored, and
And a processor for executing the program,
The processor extracts one or more recommended templates of the plurality of templates based on a rule corresponding to a plurality of contents selected by the user in accordance with execution of the program and provides the extracted one or more recommended templates to the user ,
When the selection signal for selecting one of the templates from the user is received, arranging the selected plurality of contents in the selected template,
Wherein the template comprises one or more containers in which the content is placed and a layout for the container. The method according to claim 1,
Wherein the rule includes at least one of a priority and a weight for meta information of the content, or includes a priority and a weight for the container meta information. 3. The method of claim 2,
Wherein the processor compares meta information of the selected plurality of contents with meta information of a container included in the plurality of templates based on the rule,
And extracts the recommendation template based on the comparison result. 3. The method of claim 2,
Wherein the meta information of the content includes a type of the content, a size of the content, a ratio of the content to the width and height, and a position of the content in the template,
Wherein the meta information of the container includes a type of content matched with the container, a size of the container, a ratio of a width to a length of the container, and a position of the container in the template. The method according to claim 1,
Wherein the processor places one or more of the selected plurality of contents in a contenter included in a template corresponding to the user's selection signal, respectively. A method for generating a fusion content in a content authoring apparatus,
Extracting one or more recommended templates from a plurality of templates stored in a template database based on a rule corresponding to a plurality of contents selected by a user;
Providing the extracted one or more recommended templates to the user; And
And arranging the selected plurality of contents in a template corresponding to the selection signal when receiving a selection signal for selecting one of the templates from the user,
Wherein the rules are stored in a rule base and match one or more content and templates,
Wherein the template comprises one or more containers in which the content is placed and a layout for the container. The method according to claim 6,
Wherein the rule includes at least one of a priority and a weight for the meta information of the content, or includes a priority and a weight for the meta information of the container. 8. The method of claim 7,
Wherein the extracting of the one or more recommendation templates comprises:
Comparing meta information of the selected plurality of contents with meta information of a container included in the plurality of templates based on the rule; And
And extracting the recommendation template based on the comparison result. 8. The method of claim 7,
Wherein the meta information of the content includes a type of the content, a size of the content, a ratio of the content to the width and height, and a position of the content in the template,
Wherein the meta information of the container includes a type of content matched with the container, a size of the container, a ratio of the container to a length and a length of the container, and a position of the container in the template. The method according to claim 6,
Wherein the step of arranging the plurality of contents in a template corresponding to the selection signal comprises:
And arranging at least one of the selected plurality of contents in a contenter included in a template corresponding to the user's selection signal, respectively.

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