KR20150078576A - System and Method for Taking a Picture with Partner Have a Same Place but Different Time - Google Patents

Abstract

The purpose of the present invention is to provide fun of photographing by time-shift technique for photographing, which enables subjects photographed at the same place at different times to be synthetically shown in a photo. The present invention provides a system for photographing with a partner at the same place at a different time, wherein a cloud supercomputing server possessing data on images photographed at a particular place as big data generates information on photographing conditions for a prior photographer from clue information of data on images taken by the prior photographer and provides a self-operating time-shift camera therewith in order to generate an image photographed at the same place with time-shift technique by a post photographer and a prior photographer.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and a method for capturing an image,

More particularly, the present invention relates to a system and a method for capturing image data at the same time, and more particularly to a system and a method for capturing image data in the same place as photographs taken at the same time, The present invention relates to a system and a method for cooperative photographing in which a photographing condition for a given environment is presented through a big data analysis and a camera of a space-removable type captures an image in accordance with the photographing conditions corresponding thereto.

Today, users' desire for more realistic and aesthetic expressions in image shooting has led to the development of intelligent cameras, and evolved into cameras that make up technologies such as artificial intelligence or automatic driving.

In order to optimize the three-dimensional stereo effect of "Intelligent Camera" of Korean Patent Publication No. 2011-0105059 (published on September 26, 2011) or Korean Patent Publication No. 2005-0080534 (published on Aug. 17, 2005) , 'Intelligent Placement Technique of Camera Position', techniques to recognize motion characteristics of the subject such as motion of the subject, face and voice, and inherent external features of the subject, or technologies that incorporate intelligent techniques in the camera position selection method have.

However, these conventional techniques provide a technique for advanced image capturing such as recognizing a feature of a subject as an artificial intelligence or intelligently searching for an optimum capturing position, but they only capture a given fact or an actual image, There is not provided a technique for allowing an object having different time zones to be imaged in one image frame.

SUMMARY OF THE INVENTION It is therefore an object of the present invention to provide a cloud supercomputing server which holds video data photographed at a specific place as big data so as to generate a video image of a co- And a photographing condition information of the line photographer is generated and provided to the self-contained time-movement camera.

It is also an object of the present invention to provide a self-moving time-shifted camera which receives the photographing condition information of the line photographer freely expressing altitude, rotation, and angle according to the photographing condition information, This is to provide a transcendent shooting method.

It is another object of the present invention to provide an intelligent intelligent object generating apparatus and method capable of generating intelligent intelligence objects that generate and transmit place information of a later photographer to a cloud supercomputing server, And a method of taking a picture at a same place over time which informs the user of a pose.

An object of the present invention is to provide a method and apparatus for receiving position information, generating line photographer photographing condition information through clue information included in photographer image data of the place detected from the big data, A cloud supercomputing server for editing the photographed image of the radiographer and the radiographer through the photographed image information; A self-moving time-movement camera driven by a driving command signal according to the photographing condition information to generate photographing image information including image data; And an intelligent intelligent object for generating a place information and guiding a place and a pose of the photographer so as to be photographed in accordance with the line photographer photographing condition information at the place and instructing the photographing. Is achieved by the imaging system.

According to another aspect of the present invention, there is provided an intelligent time-movement camera comprising: an intelligent photographing driving module for driving each module according to a control command signal of the intelligent intelligent object to generate photographed image information of a photographer; A sensing module for measuring photographing environment information of the self-timer camera in response to the control command signal; A flight module for space-moving the self-propelled time-shifting camera according to the control command signal; A photographing module for taking an image according to the control command signal; A cloud supercomputing server, and a communication module for wireless communication with the intelligent intelligent object.

According to the present invention, it is preferable that the communication module is connected to the intelligent object and the local area wireless communication network, and is connected to the cloud super computing server and the broadband wireless communication network.

According to another aspect of the present invention, there is provided an intelligent driving control system, comprising: an intelligent driving control module for generating a driving command signal according to the photographer's photographing condition information and transmitting the generated driving command signal together with the photographer's information included in the photographing condition information to the self- ; A communication module for wirelessly communicating with the cloud supercomputing server and the self-contained time-movement camera; An input unit for receiving command information and setting information for driving control including an address or coordinates corresponding to the place information; A display unit for confirming information and data; And a place information generating module for generating an address or coordinates transmitted from the input unit as place information.

According to the present invention, it is preferable that the place information generation module provides any one of an address input window for receiving an address through the display unit or a map for inputting coordinates.

According to the present invention, the intelligent intelligent object provides a guide screen on the display unit to move to a corresponding place according to the photographing condition information and take a corresponding pose, and then transmits a photographing location module for instructing self- .

According to the present invention, the cloud super computing server generates photographing condition information of the line photographer from the clue information of the photograph data of the photographer at the place through the place information, receives the photographing image information, An intelligent information analysis module for generating information; A big data storage module for storing photographer image data including clue information; An image processing module for editing the image data of the radiographer and the radiographer photographed by the photographing condition information to generate a coincident photographed image; And a communication module connected to the intelligent intelligent object and the self-contained time-movement camera and the broadband wireless communication network.

According to the present invention, it is preferable that the cloud supercomputing server further includes an authentication module for performing an authentication process so that the photographers connected to the cloud supercomputing server share image data with each other to agree with generation of a coexistence image Do.

Another object of the present invention is to provide a method and system for synchronizing a self-moving time-movement camera and a highly intelligent object at a long distance in a state where an intelligent intelligent object, a self-time-movement camera, and a cloud supercomputing server are connected to each other by a communication module by wireless communication, ; A place information setting step in which the intelligent intelligence object generates and transmits the place information to the cloud supercomputing server; A photographing condition information generating step of the cloud supercomputing server which has received the place information, generates photographing condition information through the clue information of the line photographer image data of the corresponding place retrieved from the big data; An imaging guidance step of providing a guidance screen such that a high intelligent object that has received the imaging condition information is photographed by a photographer after a pose corresponding to the imaging condition information; A photographed image information generating step of generating a photographed image information including image data by an autonomous timepiece camera receiving a photographed driving command signal from a highly intelligent object according to a driving command signal corresponding to photographed condition information; A cloud supercomputing server that receives the captured image information synthesizes image data of a radiographer and image data of a radiographer to generate edited image data; And an image data sharing setting step of transmitting the edited image data including the sharing setting information of the edited image data to the cloud supercomputing server, wherein the intelligent intelligent object received the edited image data transmits the edited image data including the setting information of the edited image data to the cloud supercomputing server. It is also achieved by the accompanying photographing method.

According to the present invention, after the image data sharing setting step is performed, the cloud super computing server, which receives the edited image data including the sharing setting information, generates clue information of the photographer image data through the captured image information of the edited image data And a clue information generating step of storing the clue information in the big data storage module.

According to another aspect of the present invention, the step of setting the place information includes the step of providing the place information generating module of the intelligent intelligent object on the display unit, the address information or the coordinate information input screen; Receiving input address information or coordinate information input through the input unit screen; The location information generating module generating the address information or the coordinate information as the place information; And the communication module transmits the place information to the cloud super computing server.

According to the present invention, it is preferable that the input screen is one of an address input screen for receiving address information or a map screen for receiving map information.

Also, according to the present invention, it is preferable that the photographed image information includes photographer image data, photographer information, photographer information, camera information, and photographing environment information after being photographed.

According to the present invention, the photographing condition information generating step may include the steps of: analyzing the place information by the intelligent information analyzing module of the cloud super computing server and searching for photographer image data stored in the big data storing module; Detecting clue information of image data of a post-radiographer and an authenticated radiographer of the radiographer image data searched at the place; Generating line photographing condition information through the clue information; And the communication module transmits the line photographing condition information to the intelligent intelligent object.

According to still another aspect of the present invention, the photographing guidance step includes the steps of: guiding a place where the after-photographer moves through the display unit when the photographing location module of the intelligent object is displayed; Guiding the photographer to take a specific pose by the photographer through the display unit at the place; A step in which the photographing location module instructs photographing operation of the self-contained time-movement camera; The intelligent drive control module may generate a drive command signal corresponding to the photographing condition information according to the photographing drive instruction and transmit the drive command signal to the self-contained time-movement camera together with the photographer information.

According to still another aspect of the present invention, the captured image information generating step includes the steps of: the intelligent photographing driving module driving the flight module and the photographing module according to the drive command signal to photograph the image data of the photographer; And generating photographed image information including the photographed person's image data and the radiogancer information after the photographed image information is transmitted to the cloud super computing server.

According to still another aspect of the present invention, the image data synthesis step comprises the steps of: preparing image data of a radiographer and a post-radiographer through the image information; A step of separating a post-photographer subject based on the same background of the post-photographer image data and the line photographer image data; And combining the post-photographer subject with the line photographer image data.

According to still another aspect of the present invention, the image data synthesis step comprises the steps of: preparing image data of a radiographer and a post-radiographer through the image information; Separating the subject of the radiographer based on the same background of the radiographer image data and the radiographer image data; And synthesizing the subject of the lineer to the image data of the posterior photographer.

Therefore, the time-consuming cooperative photographing system and method in the same place of the present invention by the above-mentioned problem solving means of the present invention can provide a time-consuming photographing technique by providing images such that the subjects having different time zones are taken together at the same place So that the user can have fun of shooting through.

FIG. 1 is a diagram showing a communication relationship of the time-lapse companion photographing system configurations in the same place according to the embodiment of the present invention,
FIG. 2 is a detailed system configuration diagram of FIG. 1,
FIG. 3 is an overall flowchart of a time-lapse coproduction photographing method at the same place according to an embodiment of the present invention,
4 is a data flow diagram according to the flowchart of FIG. 3;

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The present invention receives the place information selected by the post-photographer, acquires photographing condition information of the line photographer with respect to the space from the big data, drives the self-contained time-movement camera which is supported for operation so as to satisfy the photographing condition information of the line photographer After the radiographer is photographed, the radiographer's image and the radiographer's image are edited, and the same image as the radiographed image is generated at the same place.

To this end, the embodiment of the present invention obtains the photographing condition information of the line photographer from the image data clue information of the big data by receiving the post-photographer's place information, and edits the line photographer image and the post-photographer image, A cloud supercomputing server 100 for generating the photographing condition information, a self-moving time-movement camera 200 for driving the photographing according to the photographer's photographing condition information to generate photographing image information of the photographer after the photographing, And a high intelligence object 300 that generates place information of the post-photographer and instructs and guides the photographing place and the pose of the post-photographer according to the photographing condition information of the line photographer.

The self-contained time-movement camera 200 according to the present invention corresponds to a drone camera that freely moves by mounting a camera on an airplane or a helicopter-shaped airplane flying by induction of radio waves and photographs a subject, The power for camera operation is supplied from the built-in battery.

FIG. 1 illustrates a communication relationship diagram of a cooperative photographing system over time in the same place according to an embodiment of the present invention. As shown in the figure, a self-contained time-movement camera 200 and a cloud supercomputing server 100 communicate with each other through a communication network In particular, the self-time-movement camera 200 is characterized in that it is separated from the intelligent intelligent object 300 so as to be free to move in space.

1, the intelligent intelligent object 300 and the self-time mobile camera 200 are connected to a local wireless communication network such as Bluetooth, and the intelligent intelligent object 300 and the cloud supercomputing server 100 are connected to each other via Wi- And is connected to a broadband wireless communication network. Also, the self-contained time-movement camera 200 and the cloud supercomputing server 100 are connected to each other through a broadband wireless communication network.

Therefore, the intelligent intelligent object 300 transmits driving command signals for setting information and driving control to the self-moving time-movement camera 200 through the LAN, and the self-time-movement camera 200 transmits the shooting image information to the wide- The cloud supercomputing server 100 transmits the shooting condition information to the intelligent intelligent object 300 through the broadband wireless communication network.

More specifically, as shown in FIG. 2, the cooperative imaging system over time in the same place of the present invention includes an intelligent photographing drive module 210, a sensing module 220, a flight module 230, a photographing module 240, An intelligent drive control module 310, a communication module 320, an input unit 330 and a display unit 340, a photographing location module 350, An intelligent information analysis module 110, a big data storage module 120, an image processing module 140, a communication module 150, an authentication module 160 And a cloud supercomputing server 100 including the cloud supercomputing server 100.

The self-time-movement camera 200 is a camera that moves in space through a flight and is driven to generate captured image information including image data under a position and condition corresponding to photographing condition information.

The intelligent shooting driving module 210 corresponds to a control unit that drives each module according to a control command of the intelligent intelligent object 300. Particularly, And receives the driving command signal from the controller 300 to intelligently drive the photographing module 230 and the flight module 240 to photograph an image corresponding to photographing conditions.

In addition, the intelligent shooting driving module 210 generates photographed image information of the photographer who includes the image data photographed by the driving command signal according to the photographing condition information, and transmits the photographed image information to the cloud super computing server 100.

The photographed image information includes photographer image data, photographer information, photographer information, camera information, and photographing environment information after being photographed.

The line photographer information corresponds to the line photographer image data information of the photographing condition information used for photographing by a later photographer and is included in a drive command signal transmitted from the intelligent intelligence object 300 and transmitted.

The post-photographer information corresponds to the user's personal information received from the intelligent intelligence object 300 about the user such as the user ID, the user's nationality, the residential city, the occupational age, the sex,

The camera information corresponds to device information such as ID, camera specifications, flight speed, flight path, camera angle, shooting time, position, and angle of the self-time-movement camera 200.

The photographing environment information includes weather, temperature, light condition, exposure degree, position information, distance from the camera to the subject, gyro, dose, altitude, and slope.

The sensing module 220 includes sensors for measuring photographing environment information of a current photographing place of the self-time-shifting camera 200. The sensing module 220 includes position information corresponding to the GPS value of the camera, distance from the camera to the subject, Gyro, dose, altitude, and tilt.

The flying module 230 includes a rotor for lifting and posture control such as a coaxial inverting rotor, a tentamotor, and a quadrotor, and a power supply for driving them. So as to move it in space.

The photographing module 240 is a device for photographing an actual photograph, which is composed of a lens, a shutter, etc., and is driven in a state in which shutter exposure and resolution are adjusted in accordance with a control command of the intelligent photographing drive module 210.

The communication module 250 is connected to the cloud supercomputing server 100 through a broadband wireless communication network and is connected to the intelligent intelligent object 300 through a short-range wireless communication network to transmit and receive information and data.

The intelligent intelligent object 300 delivers the place information input by the post-photographer to the cloud supercomputing server 100, and transmits the post-photographer to the photographing place To a portable smartphone or a wearable Google Glasses terminal.

The intelligent drive control module 310 generates a drive command signal for driving control in synchronization with the self-time motion camera 200 by the communication module and transmits the generated drive command signal to the self-time motion camera 200.

At this time, the intelligent drive control module 310 transmits the drive command signal including the radiographer information of the photographing condition information.

The communication module 320 is connected to the cloud super computing server 100 through a broadband wireless communication network and is connected to the self-supporting time-movement camera 200 through a short-range wireless communication network, thereby transmitting and receiving information and data.

The input unit 330 receives address information or coordinate information for a place or a moving route of a later photographer.

Also, the input unit 330 receives command information and setting information for driving control of the self-timer-moving camera 200, and receives data and information transmitted from the communication module 320.

The setting information is information on the photo resolution, the angle, the degree of light exposure, the number of shots, the shooting region, the shooting location, the shooting state, and the speed.

The display unit 340 corresponds to a screen for confirming image data.

The photographing location module 350 guides the user to the display unit 340 to move to the corresponding place according to the photographing condition information transmitted from the cloud super computing server 100 and takes a picture of the self time movement camera 200 It is a module that instructs.

The location information generation module 360 generates address information or coordinate information from the input unit as location information. To this end, the location information generation module 360 receives an address for inputting an address through the display unit 340 A window for inputting a window or coordinate information, and a post-photographer provides an input screen for directly inputting an address into an address input window or selecting a corresponding place as a point on a map.

The cloud supercomputing server 100 acquires the radiographer photographing condition information from the clue information of the radiographer image data stored in the place-specific database of the big data according to the received place information, To the camera (200).

At this time, only the photographing condition information of the post-photographer and the authenticated photographer is detected, and one or more photographing condition information may be detected even if the photographer is the authenticated photographer All of which are provided to the intelligent intelligent object 300 so that they can be selected on the intelligent intelligent object 300.

The intelligent information analysis module 110 analyzes the clue information of the image data of each photographer at the relevant place through the place information received from the intelligent intelligent object 300 and generates the photographing condition information of the line photographer through the analyzed clue information do.

Further, the intelligent information analysis module 110 generates the clue information of the post-photographer image data through the photographed person image information transmitted from the self-timer mobile camera 200.

The clue information corresponds to the photographer information, the camera information, and the photographing environment information which are included in the image data of the photographer and are related to each other to give a relationship between the image data.

That is, in the present invention, the relation between the image data of the same place corresponding to the photographing environment information is given, and the image data of different time zones are synthesized through the relationship, and the image data is produced as if it was taken together.

The big data storage module 120 is a database configured to store clue information of the photographer image data.

At this time, the big data storage module 120 categorizes clue information for each photographer and clue information for each place into a database and stores the clue information so that the photographer clue information for each place according to the place information can be easily searched.

The image processing module 140 is a module for editing the radiographer and the radiographer image data photographed by the photographing condition information.

More specifically, the image processing module 140 searches for the line photographer image data through the line photographer image data information included in the after-photographer image information, separates only the subject of the after-photographer image data, , Only the subject of the line photographer image data is separated and synthesized with the photographer image data.

At this time, since the background of the radiographer image data and the image data of the posterior radiographer are photographed in the same manner, only the subjects of different images are separated from the background.

The synthesized edited image data is transmitted to the elevation intelligence object 300 again so that it can be confirmed through the display unit and the posterior photographer selects whether to share the edited image data on the elevation intelligence object 300 as the radiographer image data .

The communication module 150 is connected to the self-time-movement camera 200 through a broadband wireless communication network to transmit and receive information and data.

The authentication module 160 is a module for allowing the photographers connected to the cloud super computing server 100 to share image data with each other and to agree with the accompanying photographing.

FIG. 3 shows an overall flowchart of the present invention, and FIG. 4 shows a data flow diagram according to the flowchart of FIG.

As shown in FIGS. 3 and 4, according to the present invention, a time-lapse companion photographing method in the same place includes a communication module such that the intelligent intelligent object 300 and the self-contained time-movement camera 200 are synchronized at a remote distance And drives the communication module of the synchronized self-contained time-movement camera 200 to perform a synchronization step (S10) for connecting the cloud super computing server 100 to the communication network.

In the synchronization step S10, the intelligent intelligent object 300 and the self-time mobile camera 200 are connected to a local area network such as Bluetooth, and the self-time mobile camera 200 and the cloud supercomputing server 100 are connected to a broadband wireless Connect to the network.

After performing the synchronization step (S10), the intelligent intelligent object (300) generates location information and transmits it to the cloud super computing server (100).

In the place information setting step S20, according to the place input screen provided by the place information generating module 360 of the intelligent intelligent object 300, address information or coordinate information for a specific place or route is inputted from the photographer after inputting And the place information generation module 360 generates the address information or the coordinate information as the place information and transmits it to the cloud super computing server 100.

After the location information setting step S20 is performed as described above, the cloud super computing server 100 receiving the place information generates the photographing condition information through the clue information of the line photographer image data of the corresponding place retrieved from the big data To the intelligent intelligence object 300 (S30).

In the photographing condition information generating step S30, the intelligent information analyzing module 110 of the cloud super computing server 100 analyzes the place information and stores the photographer image data for each place stored in the big data storing module 120 And the photographing condition information is generated through the clue information of the image data of the post-photographer and the authenticated photographer among the image data of the photographer who is searched at the place.

A shooting guidance step (S30) of conducting the photographing condition information generation step (S30) and guiding the intelligent intelligent object (300) receiving the photographing condition information to a place corresponding to the photographing condition information, S40).

In the photographing guide step S40, the photographing location module 350 of the intelligent intelligent object 300 guides the user through a display unit 340 to guide a user to take a specific place to move, 200).

The intelligent drive control module 210 generates a drive command signal corresponding to the photographing condition information according to the photographing driving instruction and transmits the driving command signal to the self-time-movement camera 200.

After performing the shooting guidance step S40, the self-moving time-movement camera 200 receiving the shooting driving command signal from the intelligent intelligent object 300 drives the camera in accordance with the driving command signal corresponding to the shooting condition information, (Step S50) of generating photographed image information including the photographed image information.

In the captured image information generating step S50, the intelligent photographing driving module 310 drives the flight module 330 and the photographing module 340 to photograph the image data of the post-photographer. After photographing, And transmits the captured image information to the cloud supercomputing server 100.

The cloud super computing server 100 receiving the photographed image information after performing the photographed image information generating step S50 includes an image data synthesizing step S60 of synthesizing the image data of the line photographer and the image data of the post- .

In the image data synthesis step S60, the image processing module 140 prepares the post-photographer image data and the photographer image data from the photograph image information, separates only the subject of the post-photographer image data, Or preprocessor image data to generate edited image data synthesized with the post-photographer image data, and then transmits the edited image data to the intelligent intelligent object 300. [

After completing the image data synthesis step S60, the intelligent intelligent object 300 receiving the edited image data confirms the edited image data through the display unit, and determines whether the edited image data is to be shared with the line photographer image data And then transmits the edited image data including the sharing setting information to the cloud supercomputing server 100 (S70).

After the image data sharing setting step S70 is performed, the cloud super computing server 100 receiving the edit image data including the sharing setting information transmits the clue information of the photographer image data through the captured image information of the edited image data And then generates clue information (S80) for storing the clue information in the big data storage module 120, and then completes the entire process of the coincidentally photographed method in the same place of the present invention.

100: Cloud supercomputing server
110: intelligent information analysis module 120: big data storage module
140: image processing module 150: communication module
160: authentication module 200: self-propelled time-movement camera
210: intelligent photographing drive module 220: sensing module
230: flight module 240: photographing module
250: communication module 300: intelligent intelligent object
310: intelligent drive control module 320: communication module
330: input unit 340: display unit
350: Location information module 360: Location information generation module

Claims (18)

Receives the place information, generates the line photographer photographing condition information through the clue information included in the photographer image data of the place detected from the big data, and after the photographing based on the line photographer photographing condition information, A cloud supercomputing server for editing the captured images of the first and second photographers;
A self-moving time-movement camera driven by a driving command signal according to the photographing condition information to generate photographing image information including image data;
And an intelligent intelligent object for generating a place information and guiding a place and a pose of the photographer so as to be photographed in accordance with the line photographer photographing condition information at the place and instructing the photographing. Shooting system.
The method according to claim 1,
The self-contained time-movement camera comprises:
An intelligent photographing driving module for driving each module according to a control command signal of the intelligent intelligent object and generating photographed image information of the photographer;
A sensing module for measuring photographing environment information of the self-timer camera in response to the control command signal;
A flight module for space-moving the self-propelled time-shifting camera according to the control command signal;
A photographing module for taking an image according to the control command signal;
A cloud supercomputing server, and a communication module for wireless communication with the intelligent intelligent object.
3. The method of claim 2,
Wherein the communication module is connected to the intelligent intelligent object and the local wireless communication network and is connected to the cloud super computing server and the broadband wireless communication network.
The method according to claim 1,
Wherein the intelligent intelligent object comprises:
An intelligent driving control module generating a driving command signal according to the line photographing condition information and transmitting the driving command signal to the self-timer moving camera together with the line photographer information included in the photographing condition information;
A communication module for wirelessly communicating with the cloud supercomputing server and the self-contained time-movement camera;
An input unit for receiving command information and setting information for driving control including an address or coordinates corresponding to the place information;
A display unit for confirming information and data;
And a place information generating module for generating an address or coordinates transmitted from the input unit as place information.
5. The method of claim 4,
Wherein the place information generation module comprises:
Wherein the display unit provides any one of an address input window for receiving an address through the display unit or a map for inputting coordinates through the display unit.
5. The method of claim 4,
Wherein the intelligent intelligent object comprises:
Further comprising a photographing location module for providing a guide screen on the display unit so as to move to a corresponding place according to the photographing condition information and taking a corresponding pose, A companion shooting system that transcends the image.
The method according to claim 1,
The cloud supercomputing server includes:
An intelligent information analysis module for generating photographing condition information of the line photographer from the clue information of the image data for each photographer of the place through the place information, receiving the photographing image information, and generating clue information of the image data;
A big data storage module for storing photographer image data including clue information;
An image processing module for editing the image data of the radiographer and the radiographer photographed by the photographing condition information to generate a coincident photographed image;
An intelligent intelligent object, and a communication module connected to the self-contained time-movement camera and the broadband wireless communication network.
8. The method of claim 7,
The cloud supercomputing server includes:
Further comprising an authentication module for performing an authentication process to allow the photographers connected to the cloud supercomputing server to share the image data with each other and to agree with the generation of the accompanying image.
A synchronization step (S10) of synchronizing the self-moving time-motion camera and the intelligent intelligent object at a long distance in a state where the intelligent intelligent object, the self-time-movement camera, and the cloud supercomputing server are connected to each other by wireless communication;
A place information setting step (S20) of generating and transmitting the place information to the cloud supercomputing server;
A photographing condition information generating step (S30) in which the cloud supercomputing server which has received the place information generates photographing condition information through the clue information of the line photographer image data of the corresponding place retrieved from the big data;
An imaging guidance step (S40) of providing a guidance screen such that a high intelligent object, which has received the imaging condition information, is photographed at a place corresponding to the imaging condition information and after the pose is taken;
(S50) of generating a photographed image information including image data by an autonomous timepiece camera receiving a photographed driving command signal from a highly intelligent object according to a driving command signal corresponding to photographed condition information;
An image data synthesizing step (S60) of the cloud supercomputing server which receives the captured image information synthesizes the image data of the radiographer and the image data of the radiographer to generate edited image data of the radiograph;
And an image data sharing setting step (S70) of transmitting the edited image data including the sharing setting information of the edited image data to the cloud super computing server, wherein the intelligent object received the edited image data transmits the edited image data to the cloud super computing server Time-lapse companion shooting.
10. The method of claim 9,
After the image data sharing setting step S70 is performed, the cloud super computing server which received the edited image data including the sharing setting information generates the clue information of the photographer image data through the captured image information of the edited image data Further comprising a clue information generating step (S80) of storing the clue information in a big data storage module.
10. The method of claim 9,
The location information setting step (S20)
Providing a place information generating module of the intelligent intelligence object on the display unit, the address information or the coordinate information input screen;
Receiving input address information or coordinate information input through the input unit screen;
The location information generating module generating the address information or the coordinate information as the place information;
And communicating the location information to the cloud supercomputing server. ≪ RTI ID = 0.0 > 11. < / RTI >
12. The method of claim 11,
Wherein the input screen is one of an address input screen for receiving address information or a map screen for receiving map information.
10. The method of claim 9,
Wherein the photographed image information includes photographer image data, photographer information, photographer information, camera information, and photographing environment information after being photographed.
10. The method of claim 9,
The photographing condition information generating step (S30)
The intelligent information analysis module of the cloud supercomputing server analyzes the place information and searches for photographer image data stored in the big data storage module;
Detecting clue information of image data of a post-radiographer and an authenticated radiographer of the radiographer image data searched at the place;
Generating line photographing condition information through the clue information;
And the communication module transmits the line photographer photographing condition information as a high-level intelligent object.
10. The method of claim 9,
The photographing guiding step (S40)
Guiding a place where a later photographer moves through a display unit of a photographing location module of the intelligent intelligence object;
Guiding the photographer to take a specific pose by the photographer through the display unit at the place;
A step in which the photographing location module instructs photographing operation of the self-contained time-movement camera;
And the intelligent drive control module generates a drive command signal corresponding to the photographing condition information according to the photographing drive instruction and transmits the drive command signal together with the photographer information to the self-contained time-movement camera. Accompanying shooting method.
10. The method of claim 9,
The captured image information generating step (S50)
The intelligent photographing drive module driving the flight module and the photographing module according to the drive command signal to photograph the image data of the photographer afterwards;
And generating photographed image information including the photographed person's image data and the photographed person information after the photographed image is photographed, and transmitting the photographed image information to the cloud super computing server.
10. The method of claim 9,
The image data synthesizing step (S60)
The image processing module preparing the image data of the radiographer and the radiographer through the radiograph image information;
A step of separating a post-photographer subject based on the same background of the post-photographer image data and the line photographer image data;
And combining the post-photographer subject with the line photographer image data.
10. The method of claim 9,
The image data synthesizing step (S60)
The image processing module preparing the image data of the radiographer and the radiographer through the radiograph image information;
Separating the subject of the radiographer based on the same background of the radiographer image data and the radiographer image data;
And combining the subject of the lineer with the image data of the person of posterior photographing.

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