KR20230128750A - Method for producing commerce video tailored situation and apparatus for using the same - Google Patents

Abstract

The present invention is a method for producing a commerce video tailored to a situation, including the steps of extracting a situation variable for each area in which a commerce video for a product can be provided, determining whether or not editing of the commerce video for each area is necessary based on the situation variable, Acquiring at least one context-specific data corresponding to the situation variable according to whether editing is necessary and inserting the at least one context-specific data into a section of the commerce video to reconstruct the commerce video is configured to

Description

Circumstance-tailored commerce video production method and device using the same

the present invention It relates to a method for producing a situation-customized commerce video and a device using the same.

With the expansion of SNS platforms, the online environment, rather than TV, is attracting great attention as a new marketing space, and discussions are being made about the appropriate length of commerce videos. Unlike banner advertisements, which consist of text and pictures, commerce videos contain the concept of time, so commerce videos are produced within a few minutes so that consumers can watch commerce videos to the end.

Short-time commerce videos distributed on these SNS platforms can gain immediate consumer response. If the commerce video is not suitable for the consumer's current surroundings, the consumer's response may not meet expectations.

Accordingly, it is desirable to edit and provide the commerce video according to the consumer's response, but there is a limit to the producer checking the consumer's reaction to numerous products one by one and editing and distributing the commerce video immediately accordingly. .

The background description of the invention has been prepared to facilitate understanding of the present invention. It should not be construed as an admission that matters described in the background art of the invention exist as prior art.

Conventionally, in order to solve this problem, a method of providing different commerce images for each user's tendency has been disclosed. However, the conventional method is not only impracticable when data related to consumers' personal tastes is not collected, but also has a problem in that a lot of time and money are consumed in collecting, managing, and using the consumption propensities of numerous consumers.

Accordingly, there is a need for a method of automatically generating a commerce image that can reflect the situation of consumers.

As a result, the inventors of the present invention tried to develop a method capable of maximizing the advertising effect of a commerce video and a device using the same by obtaining context-specific data and inserting it into the right place of the commerce video.

In particular, the inventors of the present invention have configured a method and apparatus to efficiently edit a commerce video by determining whether or not to edit the commerce video in a situation that changes from moment to moment.

The tasks of the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the following description.

In order to solve the above problems, a method for producing a context-customized commerce video according to an embodiment of the present invention is provided. The method includes: extracting a situation variable for each region in which a commerce video for a product can be provided; determining whether or not editing of the commerce video for each region is necessary based on the situation variable; Acquiring at least one context-specific data corresponding to the variable and inserting the at least one context-specific data into a section of the commerce video to reconstruct the commerce video.

According to a feature of the present invention, the context variable may be configured to be extracted based on a comparison result of weather data or event data at a previous point in time when the commerce video was generated and a current point in time.

According to another feature of the present invention, the meteorological data may include at least one of temperature, humidity, air volume, precipitation, and air quality for each region.

According to another feature of the present invention, the context-specific data may include data configured in any one form of video, audio, and text that can be inserted into the commerce video.

According to another feature of the present invention, the obtaining of the situation-tailored data may include obtaining data matched with a word or image pre-stored in the weather data.

According to another feature of the present invention, the step of determining whether the editing is necessary may include the amount of orders for the product according to the situation variable, the amount of searches, the viewing time of the commerce video, and the level of interest based on at least one consumer index. This may be a step of determining whether the commerce video needs to be edited.

According to another feature of the present invention, the step of determining whether or not editing is necessary may further include determining whether or not editing of the commerce video is necessary based on a degree of similarity between the type of product and the situation variable. there is.

According to another feature of the present invention, the commerce video is composed of different types of split videos related to the product and a plurality of tags matched therewith, and the step of reconstructing the commerce video includes the types of the plurality of tags. The method may further include determining a section into which the context-specific data is to be inserted.

According to another feature of the present invention, the split image is divided into types based on whether there is an object included in the commerce image or a fingerprint synchronized with the commerce image, and the tag is a dictionary for the object. It may be composed of at least one of a word representing a definition, a word and a phrase corresponding to the fingerprint.

In order to solve the above problems, a context-customized commerce video production device according to another embodiment of the present invention is provided. The apparatus includes a communication interface, a memory, and a processor operably connected to the communication interface and the memory, wherein the processor extracts a situation variable for each region capable of providing a commerce image for a product, and based on the situation variable Determines whether or not editing is required for each region of the commerce video, obtains at least one context-specific data corresponding to the situation variable according to whether or not editing is necessary, and converts the at least one context-specific data to one part of the commerce video By inserting into a section, it is configured to reconstruct the commerce image.

Other embodiment specifics are included in the detailed description and drawings.

The present invention can automatically generate a commerce video tailored to the situation of the site where the commerce video is provided. Specifically, the present invention can maximize the advertising effect of the commerce video by inserting data tailored to the situation in the field in the right place of the commerce video.

In addition, the present invention can efficiently edit the commerce video by determining whether or not to edit the commerce video in a situation that changes from moment to moment.

In addition, the present invention can edit the commerce video based on a plurality of tags matched with the contents of the commerce video to generate a commerce video having a natural content flow without intervention by the producer.

Effects according to the present invention are not limited by the contents exemplified above, and more various effects are included in the present invention.

1, 2a and 2b are schematic diagrams for explaining the outline of a method for producing a context-customized commerce video according to an embodiment of the present invention.
3 is a block diagram showing the configuration of a commerce video production device according to an embodiment of the present invention.
4 is a flowchart of a method for producing a context-customized commerce video according to an embodiment of the present invention.
FIG. 5 is a flowchart embodying step S120 shown in FIG. 4 .
6 is a schematic diagram exemplarily illustrating a user interface for producing a context-customized commerce video according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various forms different from each other, only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention pertains. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. In connection with the description of the drawings, like reference numerals may be used for like elements.

In this document, expressions such as "has," "may have," "includes," or "may include" indicate the existence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.

In this document, expressions such as “A or B,” “at least one of A and/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B,” “at least one of A and B,” or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, Or (3) may refer to all cases including at least one A and at least one B.

Expressions such as “first,” “second,” “first,” or “second,” used in this document may modify various elements, regardless of order and/or importance, and refer to one element as It is used only to distinguish it from other components and does not limit the corresponding components. For example, a first user device and a second user device may represent different user devices regardless of order or importance. For example, without departing from the scope of rights described in this document, a first element may be named a second element, and similarly, the second element may also be renamed to the first element.

A component (e.g., a first component) is "(operatively or communicatively) coupled with/to" another component (e.g., a second component); When referred to as "connected to", it should be understood that the certain component may be directly connected to the other component or connected through another component (eg, a third component). On the other hand, when an element (eg, a first element) is referred to as being “directly connected” or “directly connected” to another element (eg, a second element), the element and the above It may be understood that other components (eg, third components) do not exist between the other components.

As used in this document, the expression "configured to" means "suitable for," "having the capacity to," depending on the circumstances. ," "designed to," "adapted to," "made to," or "capable of." The term "configured (or set) to" may not necessarily mean only "specifically designed to" hardware. Instead, in some contexts, the phrase "device configured to" may mean that the device is "capable of" in conjunction with other devices or components. For example, the phrase "a processor configured (or configured) to perform A, B, and C" may include a dedicated processor (e.g., embedded processor) to perform those operations, or by executing one or more software programs stored in a memory device. , may mean a general-purpose processor (eg, CPU or application processor) capable of performing corresponding operations.

Terms used in this document are only used to describe a specific embodiment, and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by a person of ordinary skill in the art described in this document. Among the terms used in this document, terms defined in a general dictionary may be interpreted as having the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in this document, an ideal or excessively formal meaning. not be interpreted as In some cases, even terms defined in this document cannot be interpreted to exclude the embodiments of this document.

Each feature of the various embodiments of the present invention can be partially or entirely combined or combined with each other, and as those skilled in the art can fully understand, various interlocking and driving operations are possible, and each embodiment can be implemented independently of each other. It may be possible to implement together in an association relationship.

For clarity of interpretation of this specification, terms used in this specification will be defined below.

1, 2a and 2b are schematic diagrams for explaining the outline of a method for producing a context-customized commerce video according to an embodiment of the present invention.

First, referring to FIG. 1 , the method for producing a context-customized commerce video according to an embodiment of the present invention may edit a commerce video to suit a user's situation. In the present invention, an element for editing a commerce video may be defined as a situation variable. For example, the present invention may check the weather for each region in which a commerce image can be provided, and reconstruct the commerce image to be suitable for the weather variable only in the region where the weather variable exists. Here, the presence or absence of the weather variable can be determined based on the time when the commerce video was created and the current time when editing is started. For example, when it rains in Seoul, the commerce video can be reconstructed based on rain-related images, videos, and phrases. As another example, when it does not rain in Yeosu, the commerce video may be used as it is without editing.

In this way, the situation variable for editing the commerce video may be weather data, and in addition to this, the situation variable may include event data. For example, the event data may include anniversaries by date, national holidays, weekdays, weekends, etc. such as Valentine's Day, March 1st, Children's Day, National Foundation Day, CSAT, Christmas, and Family Month.

In this regard, referring to FIG. 2A , a commerce image A according to an embodiment of the present invention may provide different commerce images as follows depending on whether a situation variable related to weather data exists. For example, the previously generated commerce image (A) may be provided as it is in an area where situational variables related to weather data do not exist, and when a situational variable exists, a commerce image (A-) reconstructed in the corresponding area. 1) can be provided.

Also, referring to FIG. 2B , a commerce image A according to an embodiment of the present invention may provide different commerce images as follows depending on whether situation variables related to weather data and event data exist. For example, situational variables related to event data may occur equally in all areas where products are provided. Accordingly, a reconstructed commerce image (A′) is provided for an area where there is no situation variable related to weather data, but situation variables related to event data exist, and FIG. 2A is provided for an area where situation variables related to weather data also exist. A commerce image (A-1') reconstructed differently from the above may be provided.

On the other hand, in the present invention, the video used to produce the commerce video is an interview video composed of questions and answers, and the seller's interview script (fingerprint) can be inserted as a subtitle in the video about the seller.

In addition, the commerce video may include an image or video for a product, along with an interview video, and tags may be matched for each inserted section. Here, the tag may be understood as a story keyword used to produce a commerce video. For example, a tag consists of words such as “beginning, history, know-how, failure, success, corporate philosophy, country of origin, Pyongyang naengmyeon, galbi,” or a phrase of two or more words such as “long run secret, going together.” can be configured.

That is, a plurality of tags may be matched in the commerce video, and a plurality of divided videos may be distinguished from the commerce video by the tags. For example, in the commerce video, the n-th split video (21 minutes 30 seconds to 21 minutes 45 seconds) corresponding to the A tag of the interview video, and the m-th segment split video (7 minutes 28 seconds to 7 minutes 38 seconds) corresponding to the B tag seconds), and the first segmented video (33 minutes 3 seconds to 33 minutes 40 seconds) corresponding to the C tag. At this time, the split image may be configured as short as 5 seconds and as long as 15 seconds.

In the present invention, the situation-customized commerce video production device 100 that reconstructs and provides a commerce video according to the user's situation is a device on which a user interface capable of producing a commerce video is executed, and an electronic device such as a PC, tablet PC, and smart phone. can include The situation-customized commerce video production device 100 may have an application for generating a commerce video installed and executed, or may access a web page provided by a commerce video production server (not shown), and may fit the current situation through the application or web page. You can edit commerce videos.

3 is a block diagram showing the configuration of a context-customized commerce video production device according to an embodiment of the present invention.

Referring to FIG. 3 , a context-customized commerce video production apparatus 100 (hereinafter referred to as the video production apparatus 100) may include a memory interface 110, one or more processors 120, and a peripheral interface 130. there is. Various components in the image production apparatus 100 may be connected by one or more communication buses or signal lines.

The memory interface 110 may be connected to the memory 150 and transfer various data to the processor 120 . Here, the memory 150 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, network storage storage, cloud , It may include at least one type of storage medium among blockchain databases.

In various embodiments, memory 150 includes operating system 151 , communication module 152 , graphical user interface module (GUI) 153 , sensor processing module 154 , telephony module 155 , and application module 156 . ) At least one or more of them may be stored. Specifically, the operating system 151 may include instructions for processing basic system services and instructions for performing hardware tasks. The communication module 152 may communicate with at least one of one or more other devices, computers, and servers. A graphical user interface module (GUI) 153 may process a graphical user interface. Sensor processing module 154 may process sensor-related functions (eg, process voice input received through one or more microphones 192 ). The phone module 155 may process phone-related functions. The application module 156 may perform various functions of a user application, such as electronic messaging, web browsing, media processing, navigation, imaging, and other processing functions. In addition, the video production device 100 may store one or more software applications 156 - 1 and 156 - 2 (eg, commerce video editing and production applications) associated with any one type of service in the memory 150 .

In various embodiments, the memory 150 may store a digital assistant client module 157 (hereinafter referred to as a DA client module), thereby storing instructions and various user data 158 for performing client-side functions of the digital assistant. (eg user-customized vocabulary data, preference data, other data such as the user's electronic address book, etc.).

In various embodiments, the memory 150 may store the production time of the commerce video, weather data at the time of production, and event data, and the amount of order, search amount, and viewing time of products according to situational variables for each area in which the commerce video can be provided. and a change in interest may be stored. In addition, the memory 150 may store a pile of tags tagged to the commerce video, and may store a pile of tags for each category used in the commerce video, a fingerprint combined with the tag, audio data inserted into the commerce video, text data, and the like. . Here, the category for classifying the tag stack may include intuitive items such as product type (food, product, service, ticket, etc.) and product color, or may include abstract items such as region and business management. In addition, the memory 150 may store a list of products sold by the seller, identification information of the seller, a tag group used in the commerce video, and sales data through the tag group, wherein the sales data is based on the time of providing the commerce video. It may include order volume, search volume, etc., which are counted as .

Also, the memory 150 may store words or images related to weather data for each type. Here, the type of weather data refers to weather observation items such as temperature, humidity, air volume, precipitation, and air quality, and words or images related to the weather observation items may be stored in the memory 150 .

Meanwhile, the DA client module 157 receives a user's voice input, text input, touch input, and/or gesture input through various user interfaces (eg, the I/O subsystem 140) provided in the video production device 100. can be obtained.

In addition, the DA client module 157 may output audio-visual and tactile data. For example, the DA client module 157 may output data consisting of a combination of at least two of voice, sound, notification, text message, menu, graphic, video, animation, and vibration. In addition, the DA client module 157 may communicate with a digital assistant server (not shown) using the communication subsystem 180 .

In various embodiments, the DA client module 157 may collect additional information about the surrounding environment of the image production apparatus 100 from various sensors, subsystems, and peripheral devices in order to construct a context associated with a user input. there is. For example, the DA client module 157 may infer the user's intention by providing context information together with the user's input to the digital assistant server. Here, the situational information that may accompany the user input may include sensor information, eg, lighting, ambient noise, ambient temperature, image of the surrounding environment, video, and the like. For another example, the context information may include a physical state (eg, device orientation, device location, device temperature, power level, speed, acceleration, motion pattern, cellular signal strength, etc.) of the image production apparatus 100 . For another example, the context information is information related to the state of the software of the video production device 100 (eg, processes running in the video production device 100, installed programs, past and present network activity, background services, error logs, resource usage, etc.).

In various embodiments, the memory 150 may include added or deleted commands, and the video production apparatus 100 may include additional components other than the components shown in FIG. 3 or may exclude some components.

The processor 120 may control the overall operation of the video production device 100 and may execute various commands for creating a commerce video tailored to the situation by driving an application or program stored in the memory 150 .

The processor 120 may correspond to an arithmetic device such as a central processing unit (CPU) or an application processor (AP). In addition, the processor 120 may be implemented in the form of an integrated chip (IC) such as a System on Chip (SoC) in which various computing devices such as a Neural Processing Unit (NPU) are integrated.

In various embodiments, the processor 120 may edit and provide a commerce video composed of a combination of an interview video and a product video according to a user's situation, which will be described below with reference to FIGS. 4 to 6 .

4 is a flowchart of a method for producing a context-customized commerce video according to an embodiment of the present invention.

Referring to FIG. 4 , the processor 120 may extract situational variables for each region capable of providing a commerce image for a product (S110). Here, the area in which the commerce video can be provided may be designated by a producer or a seller of a product.

In various embodiments, the situation variable extracted by the processor 120 may be extracted based on a comparison result between weather data or event data at the point in time when the commerce video was created and the current point in time. Here, the meteorological data includes temperature, humidity, wind volume, precipitation, and air quality for each region, and the processor 120 determines whether the temperature, humidity, wind volume, and precipitation increase/decrease, and whether air quality is alleviated or deteriorated. variables can be extracted. In addition, the event data may include an anniversary, holiday, national holiday, weekday/weekend, etc. by date, and the processor 120 may determine whether a holiday, holiday, or national holiday exists, whether a weekday has been converted from a weekend, or a weekend to a weekday. context variables can be extracted.

However, in the case of weather data, even if there is a difference between the previous time point and the current time point, excessive calculation of the processor 120 can be prevented by extracting a situation variable only when the difference value according to the comparison result is greater than or equal to a preset value. In addition, in the case of precipitation included in the meteorological data, a change in the probability of precipitation may be considered together with the predicted amount of precipitation.

In various embodiments, the processor 120 may extract the context variable in units of days or units of preset time according to the type of data constituting the context variables. For example, the processor 120 may extract a comparison result of event data on a daily basis or extract a comparison result of weather data at morning, noon, and evening intervals.

After step S110, the processor 120 may determine whether to edit the commerce video based on the situation variable (S120). Specifically, the processor 120 may determine whether the commerce video needs to be edited based on the similarity between the product type and the situation variable. The types of products may be classified into products that can be actually possessed, such as food and goods, and services that can be used, such as vouchers and advance tickets. For example, the processor 120 may determine that food has a high degree of similarity with a situation variable obtained based on weather data, but a low degree of similarity with a situation variable obtained based on event data. For another example, the processor 120 may determine that a service such as an advance ticket has a high similarity with a situation variable obtained based on event data, but a low similarity with a situation variable obtained based on weather data.

In various embodiments, the processor 120 may calculate a similarity with a tag matched to a commerce image in addition to the product type. Specifically, the processor 120 may calculate word similarity between weather data or event data of any one item obtained as a situation variable and a plurality of tags matched with a commerce image. Accordingly, when the similarity value is greater than or equal to a preset value, the processor 120 may determine that the corresponding commerce video needs to be edited.

In various embodiments, the processor 120 may determine whether editing of the commerce video is necessary based on at least one consumer index among the amount of product orders, the amount of searches, the viewing time of the commerce video, and the level of interest according to the situation variable. Specifically, the processor 120 may determine that the commerce video needs to be edited when the amount of orders, search amount, viewing time, and change in interest of products according to situational variables for each region stored in the memory 150 are equal to or greater than a preset value. For example, the processor 120 may determine to edit a commerce video for food when the order quantity of one food item increases rapidly in rainy weather.

FIG. 5 is a flowchart embodying step S120 shown in FIG. 4 .

Referring to FIG. 5 , by combining various embodiments described above, the processor 120 may obtain context-specific data in the following order. Specifically, the processor 120 may check whether there is a significant change based on the previous time point and the current time point in weather data or event data (S120-2). Significant change at this time may be different depending on the type of data included in the situation variable. For example, in the case of weather data, it is possible to check whether the temperature, humidity, wind volume, and precipitation increase/decrease, and air quality is alleviated or deteriorated at the point in time when the commerce image was created and the current point in time. In addition, the processor 120 may confirm that a significant change exists in the meteorological data only when the difference value is greater than or equal to a preset value as a result of data comparison. For another example, in the case of event data, it is checked whether there are anniversaries, holidays, or national holidays at the point in time when the commerce video was created and the current point in time, and whether it has been converted from weekdays to weekends and from weekends to weekdays. It can be confirmed that there are significant changes in the data.

If, in the case of an area where no significant change exists in step S120-2, the processor 120 may maintain the commerce image supplied to the corresponding area (S120, No).

Conversely, in the case of a region in which a significant change exists in step S120-2, the processor 120 may additionally check whether the context variable is a context variable related to product sales (S120-4, Yes). The processor 120 may determine whether the currently identified situational variable is a situational variable related to sales of the product, based on at least one consumer index among product order amount, search amount, commerce video viewing time, and interest level according to the situational variable.

However, when the consumer index according to the situation variable is insufficient, the processor 120 calculates the similarity between the product type and the situation variable or the similarity calculated value with the tag matched to the commerce image. It can be checked whether the situation variable is a situation variable related to product sales. For example, the processor 120 may perform similarity calculation when the product sales period does not satisfy the product sales period (eg, 1 year, 6 months, 1 month). Here, the period for determining the sales of the product may be different depending on the type of product.

After step S120-4, if the situation variable is a situation variable related to sales of the product, the processor 120 may obtain a pre-stored phrase or image for each type of event data (S120-5, eg ). For example, the processor 120 may obtain an image or video associated with the phrase “Merry Christmas” or “Santa Claus” associated with Christmas.

In addition, the processor 120 may obtain pre-stored words or images for each type of weather data (S120-6, Yes). For example, the processor 120 may obtain an image associated with the word “thunder” in rain or a sound effect associated therewith, and an image associated with the word “cold wave” in temperature or “tropical night” or image can be obtained.

After steps S120-5 and S120-6, the processor 120 may obtain at least one context-customized data corresponding to a context variable according to whether editing is necessary (S130). Here, the context-customized data may mean data composed of any one of video, audio, and text that can be inserted into a commerce video. For example, the context-specific data may include at least one of words, phrases, and images acquired through steps S120-5 and S120-6.

After step S130, the processor 130 may reconstruct the commerce image by inserting at least one situation-tailored data into a section of the commerce image (S140). Specifically, the commerce video may be composed of different types of segmented videos related to products and a plurality of tags matched therewith. For example, the plurality of tags may include a first tag matching a segmented image extracted from an interview video of a product seller and a second tag matching a segmented image of a product.

That is, commerce images are divided into types based on whether objects (eg, sellers, products) included in the commerce video or fingerprints synchronized with the commerce video (eg, fingerprints synchronized with the interview video) exist. tags can be words representing dictionary definitions of objects (eg, ribs, naengmyeon), words corresponding to fingerprints (eg, start, failure, success, origin) and phrases (eg, long run secret, going together). ) It may be composed of at least one of.

As such, the commerce video is composed of a combination of different types of video, and the processor 120 may determine a section in which context-customized data is to be inserted according to the type of a plurality of tags matched with the commerce video. For example, sound effects (situation-tailored data) related to a rainy day acquired according to situational variables are inserted or overlaid at the front of a video of a product (e.g. food) rather than an interview video to maximize the advertising effect. Therefore, the processor 120 may determine a section in which context-customized data is to be inserted using a plurality of tags.

In various embodiments, the processor 120 may first check the type and number of tags matched with the commerce video, and obtain context-specific data according to the number of tags that can be inserted.

In addition to this, the processor 120 may provide a video editing interface for inserting context-specific data to producers.

In relation to this, FIG. 6 is a schematic diagram exemplarily illustrating a user interface for producing a context-customized commerce video according to an embodiment of the present invention.

Referring to FIG. 6 , the video editing interface provided by the processor 120 may include a point of view 11 when the commerce image is generated, a commerce image 12 and a text phrase 13 generated at the corresponding point of time.

In addition, the video editing interface may display a plurality of tags 14 matched to the timeline 15 of the commerce video, and the processor 120 may display the commerce video when the user selects any one tag 14. A list of context-specific data that can be inserted can be provided in the form of a pop-up window.

Referring back to FIG. 3 , the peripheral interface 130 may be connected to various sensors, subsystems, and peripheral devices to provide data so that the image production apparatus 100 can perform various functions. Here, it can be understood that the image production device 100 performs a certain function as being performed by the processor 120 .

The peripheral interface 130 may receive data from the motion sensor 160, the illumination sensor (light sensor) 161, and the proximity sensor 162, and through this, the image production device 100 may receive orientation, light, and Proximity detection function, etc. can be performed. As another example, the peripheral interface 130 may receive data from other sensors 163 (positioning system-GPS receiver, temperature sensor, biometric sensor) through which the image production device 100 may receive other sensors. functions related to 163 can be performed.

In various embodiments, the image production device 100 may include a camera subsystem 170 connected to the peripheral interface 130 and an optical sensor 171 connected thereto, through which the image production device 100 takes pictures. and various shooting functions such as video clip recording.

In various embodiments, the image production device 100 may include a communication subsystem 180 connected to the peripheral interface 130 . The communication subsystem 180 is composed of one or more wired/wireless networks, and may include various communication ports, radio frequency transceivers, and optical transceivers.

In various embodiments, the video production device 100 includes an audio subsystem 190 connected to a peripheral interface 130, and the audio subsystem 190 includes one or more speakers 191 and one or more microphones 192. By including, the video production device 100 can perform voice-actuated functions, such as voice recognition, voice duplication, digital recording, and telephone functions.

In various embodiments, the image production device 100 may include an I/O subsystem 140 connected to the peripheral interface 130 . For example, the I/O subsystem 140 may control the touch screen 143 included in the image production device 100 through the touch screen controller 141 .

For example, the touch screen controller 141 uses any one of a plurality of touch sensing technologies such as capacitive, resistive, infrared, surface acoustic wave technology, proximity sensor array, and the like to provide a user's touch and motion or touch. and cessation of movement. For another example, the I/O subsystem 140 may control other input/control devices 144 included in the image production apparatus 100 through other input controller(s) 142 . As an example, other input controller(s) 142 may control one or more buttons, rocker switches, thumb-wheels, infrared ports, USB ports, and pointer devices such as styluses and the like.

So far, the context-customized commerce video production apparatus 100 according to an embodiment of the present invention has been described. According to the present invention, the commerce video can be edited based on a plurality of tags matched with the contents of the commerce video, so that a commerce video having a natural flow of content can be created without intervention by the producer.

Although one embodiment of the present invention has been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and may be variously modified and implemented without departing from the technical spirit of the present invention. there is. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but to explain, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention should be construed according to the claims below, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

100: situation customized commerce video production device
110: memory interface 120: processor
130 Peripheral Interface 140 I/O Subsystem
141: touch screen controller 142: other input controller
143: touch screen
144: other input control devices
150: memory 151: operating system
152: communication module 153: GUI module
154: sensor processing module 155: phone module
156: application module
156-1, 156-2: application
157: digital assistant client module
158: user data
160: motion sensor 161: light sensor
162 Proximity sensor 163 Other sensors
170: camera subsystem 171: optical sensor
180: communication subsystem
190: audio subsystem
191: speaker 192: microphone

Claims (10)

Extracting situational variables for each region capable of providing commerce images for products;
Determining whether editing is necessary for each region of the commerce video based on the situation variable;
obtaining at least one context-customized data corresponding to the context variable according to whether the editing is necessary; and
Reconstructing the commerce video by inserting the at least one situation-tailored data into a section of the commerce video; A method for producing a situation-customized commerce video comprising a. According to claim 1,
The situation variable is
A method for producing a context-customized commerce video, configured to be extracted based on a comparison result of weather data or event data at a previous time and a current time when the commerce video was generated. According to claim 2,
The meteorological data is
A method for producing a situation-customized commerce video, including at least one of the temperature, humidity, air volume, precipitation, and air quality for each region. According to claim 1,
The situation-specific data,
A method for producing a context-customized commerce video, including data configured in the form of any one of video, audio, and text that can be inserted into the commerce video. According to claim 3 or 4,
The step of acquiring the context-specific data,
A step of obtaining data matching a word or image pre-stored in the weather data. According to claim 1,
The step of determining whether the editing is necessary,
Determining whether or not editing of the commerce video is necessary based on at least one consumer index among the amount of orders, the amount of searches, the viewing time and interest of the commerce video according to the situation variable, the context-customized commerce video production method. According to claim 6,
The step of determining whether the editing is necessary,
Based on the similarity between the type of product and the situation variable, determining whether or not editing of the commerce video is necessary; According to claim 1,
The commerce video,
It consists of different types of split images related to the product and a plurality of tags matched with them,
The step of reconstructing the commerce video,
The method of producing a context-customized commerce video, further comprising determining a section in which the context-specific data is to be inserted according to types of the plurality of tags. According to claim 8,
The segmented image,
The type is classified based on whether there is an object included in the commerce image or a fingerprint synchronized with the commerce image,
The tag is
A method for producing a context-customized commerce video, consisting of at least one of a word representing a dictionary definition of the object, a word and a phrase corresponding to the fingerprint. communication interface;
Memory;
a processor operatively connected to the communication interface and the memory; including,
the processor,
A situation variable for each region capable of providing a commerce video for a product is extracted, and based on the situation variable, it is determined whether or not editing of the commerce video for each region is necessary, and at least one corresponding to the situation variable is determined according to whether or not the editing is necessary. A context-customized commerce video production device configured to acquire context-specific data of and insert the at least one context-specific data into a section of the commerce video to reconstruct the commerce video.

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