Video exporting method and apparatus, and computer-readable medium and photographic device

Abstract

Disclosed in the present invention are a video exporting method and apparatus, and a computer-readable medium and a photographic device. The video exporting apparatus comprises a photographic device, which comprises a driving apparatus, camera devices, a control processor and a memory, wherein there are two or more camera devices; the two or more camera devices are distributed and mounted at different positions on the driving apparatus; the control processor is used for controlling the driving apparatus to carry the camera devices to move relative to a photographed object; the control processor controls the camera devices to collect image works and store same in the memory; and the control processor is used for exporting to a target terminal an image work with the highest statistical index score. The driving apparatus comprises a photographic support, the two or more camera devices are distributed and mounted at different positions on the photographic support, and the positions and angles of the camera devices relative to the photographic support can be adjusted.

Description

Video export method, device, computer-readable medium, and shooting device Technical Field

[0001] The present application relates to the technical field of shooting devices, and specifically to a video exporting method, device, computer-readable medium, and shooting equipment. Background Art

[0002] Currently, to optimize the framing of captured video works and ensure the ideal presentation of the subject or object, two or more cameras positioned in different locations are used to capture video of the subject. This is then manually edited and synthesized in post-production to produce the final product. This approach is inefficient and unsuitable for commercial scenarios involving the rapid export of video works to clients.

[0003] As disclosed in the patent document of a method, device and terminal for controlling the shooting of a camera device with patent application number CN104349063A, and the patent document of a preferred method and device for face cutout images with application number CN109711390A, even if an algorithm can be used to cut out each frame or key frame of the video to adjust the position of the face in the picture to assist manual processing and rendering of the video to output the best work, it is still very time-consuming and inefficient. Summary of the Invention

[0004] The present invention mainly addresses the above problems and proposes a video exporting method, device, computer-readable medium and shooting equipment, aiming to solve the technical problems in the background technology.

[0005] To achieve the above-mentioned object, the present invention provides a video export method, which is applied to a shooting device, characterized in that the shooting device includes a driving device, a camera device, a control processor, and a storage device, wherein the number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the driving device; the driving device is used to carry the camera devices to move relative to the object being photographed; the control processor controls the camera devices to capture image works and store them in the storage device; the video export method includes the following steps:

[0006] When two or more camera devices are capturing a video or storing the captured video work in a storage device, m video frames are detected for each generated video file to determine whether the captured object appears in the m video frames;

[0007] When it is detected that n of the m video frames contain the photographed object, a first index score n is recorded for the corresponding image work captured by the camera device, where 0≤n≤m;

[0008] Detecting the video frame where the photographed object appears, and determining whether the position of the photographed object relative to the video frame is within a predetermined position range;

[0009] When it is detected that h captured target images appear in the predetermined position range in n video frames, a second index score h is recorded for the corresponding image work captured by the camera device, where 0≤h≤n;

[0010] The first index scores and the second index scores accumulated by the corresponding image works captured by two or more camera devices are counted and compared, and the image work with the highest statistical index score is exported to the target terminal.

[0011] Furthermore, the video export method is specifically as follows:

[0012] Generate h video frames with the target being photographed located in the predetermined position range. 总 , where the alignment rate k 总 The value is set as a percentage from 1 to 100. Alignment rate of any video frame

[0013] The preset position in the video frame is (X o , Y o ), the position of the photographed target in the video frame is (X h , Y h ).

[0014] Furthermore, the method includes: according to the instruction of the user to export the selected image work after browsing multiple image works captured by two or more camera devices, recording a weighted index score f for the selected image work, and the weighted index score f is greater than the statistical index scores of the remaining image works.

[0015] The present invention provides a video exporting device, comprising a shooting device, wherein the shooting device comprises a driving device, a camera device, a control processor, and a storage device, wherein the number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the driving device; the control processor is used to control the driving device to carry the camera device to move relative to the photographed target; and the control processor controls the camera device to capture image works and store them in the storage device; and the control processor is used to export the image work with the highest statistical index score or all image works to the target terminal.

[0016] Furthermore, it includes a main control device and a connection module, wherein the control processor is electrically connected to the connection module; according to the driving instruction issued by the main control device received by the connection module, the control processor controls the driving device to drive the camera device to move relative to the object being photographed;

[0017] The control processor controls the camera device to capture the image work and store it in the storage according to the shooting instruction sent by the main control device received by the connection module;

[0018] The control processor exports the video work with the highest statistical index score or all the video works to the target terminal according to the sending instruction sent by the main control device received by the connection module.

[0019] Furthermore, it also includes a communication module and a cloud server; the control processor is electrically connected to the communication module; the control processor exports the image work with the highest statistical index score to any target terminal such as the cloud server, email box, or SMS / MMS receiving number through the communication module based on the sending instruction issued by the main control device received by the connection module.

[0020] Furthermore, the control processor receives control instructions issued by the main control device through the cloud server and the communication module.

[0021] Furthermore, it includes a user interface for displaying score ranking information of multiple image works collected by two or more camera devices; the user interface receives a touch operation of the user to select the exported image work.

[0022] Furthermore, the user interface receives a touch operation of the user, and the control processor can configure the audio material and / or image material pre-stored in the cloud server and / or the storage to be added when the camera device captures the image work.

[0023] Furthermore, the driving device includes a shooting bracket, and two or more camera devices are distributed and installed at different positions on the shooting bracket, and the position and angle of the camera device relative to the shooting bracket can be adjusted.

[0024] Furthermore, the cloud server receives a synchronous shooting instruction issued by the main control device, controls two or more camera devices to work synchronously to capture image works and store them in the storage.

[0025] The present invention provides a computer-readable medium having a computer program stored thereon, wherein the program implements the aforementioned video exporting method when processed and executed.

[0026] The present invention provides a photographing device, comprising:

[0027] one or more control processors;

[0028] The storage is used to store one or more programs, and when the one or more programs are executed by the one or more controllers, the one or more controllers implement the video exporting method as described above.

[0029] Compared with the prior art, the present invention provides a video export method, device, computer-readable medium, and shooting device. By combining this method with the video export device, a program can automatically select two or more image works captured by two or more camera devices, quickly count and compare them, and export the image work with the highest statistical index score to the target terminal. This method of shooting with multiple devices and scoring to export the best works automatically identifies the best shooting camera works, selects the best shooting works and distributes them to end users, avoiding users occupying devices for a long time waiting for image works to be exported, resulting in more commercial profits, reducing user waiting time, improving user satisfaction, and saving time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] FIG1 is a schematic diagram of the three-dimensional structure of a video exporting device of the present application.

[0031] FIG2 is a side view of FIG1 .

[0032] FIG3 is a schematic diagram of another layout of a three-dimensional structure in which a main control device and camera devices of a video exporting device of the present application are distributed and installed at different positions of a shooting bracket.

[0033] FIG4 is a flow chart of an embodiment of a video exporting method in the present application combined with a video exporting device to export a video.

[0034] FIG5 is a flow chart of another embodiment of a video exporting method in the present application combined with a video exporting device to export videos.

[0035] FIG6 is a schematic block diagram showing the connections between components of a video exporting device according to the present application.

[0036] FIG7 is a schematic diagram of an algorithm for generating an alignment rate k according to a video export method of the present application.

[0037] The reference numerals shown in the figure are: 1. supporting stage; 2. driving device; 3. shooting bracket; 4. main control device; 410. camera device; 420. control processor; 430. storage; 440. connection module; 450. communication module; 460. user interface; 5. cloud server. DETAILED DESCRIPTION

[0038] Referring to Figures 1 to 7, this embodiment provides a video export method, which is applied to a shooting device, wherein the shooting device includes a drive device, a camera device, a control processor, and a storage device, wherein the number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the drive device; the drive device is used to move the camera devices relative to the object being photographed; the control processor controls the camera devices to capture image works and store them in the storage device; the video export method includes the following steps:

[0039] When two or more camera devices are capturing a video or storing the captured video work in a storage device, m video frames are detected for each generated video file to determine whether the captured object appears in the m video frames;

[0040] When it is detected that n of the m video frames contain the photographed object, a first index score n is recorded for the corresponding image work captured by the camera device, where 0≤n≤m;

[0041] Detecting the video frame where the photographed object appears, and determining whether the position of the photographed object relative to the video frame is within a predetermined position range;

[0042] When it is detected that h captured target images appear in the predetermined position range in n video frames, a second index score h is recorded for the corresponding image work captured by the camera device, where 0≤h≤n;

[0043] The first index scores and the second index scores accumulated by the corresponding image works captured by two or more camera devices are counted and compared, and the image work with the highest statistical index score is exported to the target terminal.

[0044] Image recognition technology is used to scan and identify m video frames to determine whether a photographed subject appears in any of the m video frames. This image recognition technology can be implemented using existing technology and is not the focus of the invention and innovation of this application, so it will not be described in detail here. When scanning and recognition detects the presence of a photographed subject in the current video frame, a first index score is added to the statistical record of the currently identified and detected image work. If scanning and recognition detects that the photographed subject does not appear in the current video frame, the first index score is not added to the video frame.

[0045] If it is set that 60 video frames are evenly selected for recognition detection for each video work regardless of its length, and the photographed object appears in 39 of the 60 video frames, then the total first index score n of the video work is 39 first index points.

[0046] There is no restriction on the video frames selected for detection and judgment. The selection of video frames can be random or regular. The more video frames selected, the higher the computing power required.

[0047] In a preferred embodiment, after detecting and determining that a video frame contains a photographed target, the video frame is then detected to see whether the photographed target appears within a predetermined position range. When scanning and recognition detect that the photographed target in the current video frame appears within the predetermined position range, a second index score is added to the statistical record of the currently identified and detected image work. If scanning and recognition detect that the photographed target in the current video frame does not appear within the predetermined position range, the second index score cannot be increased for the video frame.

[0048] If the object being photographed appears within the predetermined position range in 26 of the 39 video frames, then the total second index score h of the video work is 26 second index points.

[0049] Alternatively, the first scan may detect the entire image work, and then the second scan may be performed to detect whether the photographed target appears in the sampled video frames.

[0050] During the image acquisition and scanning process, the control processor not only controls the operation of various components but also performs computational processing. This method allows the program to automatically select two or more images captured by two or more camera devices, quickly perform statistical analysis and comparison, and export the image with the highest statistical index score to the target terminal. This method of capturing images with multiple devices, scoring them, and exporting the best images is more efficient and time-saving than methods that require image processing such as cutouts and rendering.

[0051] Furthermore, the video export method is specifically as follows:

[0052] Generate h video frames with the target being photographed located in the predetermined position range. 总 , where the alignment rate k 总 The value is set as a percentage from 1 to 100. Alignment rate of any video frame

[0053] The preset position in the video frame is (X o , Y o ), the position of the photographed target in the video frame is (X h , Y h ).

[0054] If two or more images captured by two or more camera devices are scored using the basic method, and the statistical index scores of several images are equal, and it is impossible to derive a single image with the highest statistical index score, then the refined scoring method is activated to calculate and statistically compare the image works, and the alignment rate k of the objects in the predetermined position range in h video frames is calculated. 总 .

[0055] If the predetermined position in the preset video frame is (X o , Y o ), an XY two-dimensional rectangular coordinate system is introduced into the video frame, and the predetermined position is set at the center point of the video frame. The center point is located at the origin of the XY two-dimensional rectangular coordinate system, so the predetermined position is X o =0, Y o = 0, the photographed target is set as the center point of the front face, the coordinate value of the center point of the front face (X h , Y h ) is the position of the photographed target in the video frame. On this basis, we now bring them into the algorithm formula one by one to statistically calculate the alignment rate of the video frame. If each image work needs to generate an alignment rate k 总 When , the number of detected video frames h is 26, then Then count the several k 总 The first index score and the second index score of the corresponding video work are counted and compared, and the video work with the highest statistical index score is exported to the target terminal.

[0056] This allows for further refinement in the selection of the best video works, exporting them, and making the scoring more accurate.

[0057] Furthermore, the method includes: according to the instruction of exporting an image work selected by the user after browsing multiple image works captured by two or more camera devices, a weighted index score f is recorded for the selected image work, and the weighted index score f is greater than the statistical index scores of the remaining image works.

[0058] The user visually browses and views several video works for comparison and selection, assigns the maximum score to the selected video work, and exports the corresponding video work.

[0059] Please refer to Figures 1 to 6. A video exporting device includes a shooting device, characterized in that the shooting device includes a driving device, a camera device, a control processor, and a storage, wherein the number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the driving device; the control processor is used to control the driving device to carry the camera device to move relative to the target being photographed; and the control processor controls the camera device to capture image works and store them in the storage; and the control processor is used to export the image work with the highest statistical index score or all image works to the target terminal.

[0060] In some embodiments, the capture device is a 360-degree panoramic photo booth, which includes a support stage for users to stand on. The drive device includes a motor, a driving wheel connected to the motor power output shaft, a driven wheel transmission-connected to the driving wheel, and a capture bracket connected to the end surface of the driven wheel. The camera devices are distributed and mounted at different positions on the capture bracket. The motor drives the capture bracket and the camera devices via the driving wheel and the driven wheel to rotate around the support stage, moving relative to the user on the support stage. The control processor controls two or more camera devices to capture two or more video works and store them in the storage. The video export method then uses the camera device to score and select the best video works, and then export the video works with the highest statistical index scores or all video works to the target terminal.

[0061] Exporting all video works to the target terminal is still more efficient and time-saving than the method that requires image processing by cutout rendering, provided that the bandwidth is large enough and the network speed is fast enough.

[0062] In some embodiments, the driving device is a drone, and the camera devices are distributed and installed at different positions on the drone. The drone flies to track the movement of the target being photographed and moves relative to the user. The control processor controls two or more camera devices to collect two or more image works and store them in the storage. Then, combined with the video export method, the best works are scored and selected, and the image works with the highest statistical index scores or all image works are exported to the target terminal.

[0063] In some embodiments, the driving device is a rail car or a remote-controlled car, and the camera devices are distributed and installed at different positions on the car body. The rail car or remote-controlled car drives to track the movement of the photographed target and moves relative to the user. The control processor controls two or more camera devices to collect two or more image works and store them in the storage. Then, combined with the video export method, the best works are selected by scoring, and the image works with the highest statistical index scores or all image works are exported to the target terminal.

[0064] The camera device, control processor, and storage device can be integrated into one device. Alternatively, an existing smart terminal, such as a smartphone, can be used as an integrated device that includes the camera device, control processor, and storage device. The smartphone is installed with corresponding software programs that receive user touch operations to control the camera device, control processor, storage device, and the drive device.

[0065] 6 , including a main control device 4 and a connection module 440, the control processor is electrically connected to the connection module; according to the driving instructions issued by the main control device received by the connection module, the control processor controls the driving device to drive the camera device to move relative to the object being photographed;

[0066] The control processor controls the camera device to capture the image work and store it in the storage according to the shooting instruction sent by the main control device received by the connection module;

[0067] The control processor exports the image with the highest statistical index score or all the image works to the target terminal according to the sending instruction sent by the main control device received by the connection module.

[0068] The connection module can be a Bluetooth or WIFI hardware module. The main control device realizes wireless communication connection with the control processor through the connection module. The user can control the work by operating the main control device to issue control instructions to the control processor, camera device, and drive device.

[0069] In some embodiments, the main control device may be a smart terminal, such as a smart phone.

[0070] In some embodiments, only the video works with the highest statistical index scores are exported to the target terminal.

[0071] You can also export all the image works to the target terminal. If the bandwidth is large enough and the network speed is fast enough, it is still more efficient and saves time compared to the method that requires cutout rendering to process the image.

[0072] Please refer to Figures 4 to 6, which also include a communication module and a cloud server; the control processor is electrically connected to the communication module; the control processor exports the image work with the highest statistical index score to any target terminal such as the cloud server, email, or SMS / MMS receiving number through the communication module based on the sending instruction issued by the main control device received by the connection module.

[0073] The video work with the highest statistical index score or all video works will be exported to the target terminal, that is, the target terminal for receiving the video works is any one of the cloud server, email, SMS (multimedia messaging) / MMS (text message) receiving number. If the user's WeChat account is also bound to the corresponding WeChat service account, the cloud server will send the exported video works to the user's WeChat account through the WeChat service account.

[0074] When the target terminal is an MMS (text message) receiving number, what is received is the download link text of the video work.

[0075] The communication module 450 can be any one of a WIFI communication module, a GPRS communication module, and a 5G / 4G communication module, which is connected to the Internet to transmit data and upload the image works in the storage to the cloud server.

[0076] Furthermore, the control processor receives control instructions issued by the main control device through the cloud server and the communication module.

[0077] The cloud server serves as the synchronization control terminal for multiple devices. When the main control device initiates a shooting command, it first sends the shooting command to the cloud server through the communication module. After receiving the control command, the cloud server sends the shooting command to multiple other shooting devices. Only then will multiple devices trigger shooting to achieve the purpose of synchronous shooting.

[0078] In some embodiments, when the main control device is a smart terminal smartphone, it is driven to move by a driving device during operation, and it is not convenient to adjust or replace the working parameters of each component. Control instructions can be sent from a second off-site main control device to the cloud server, and the cloud server and communication module can send control instructions to the smartphone driven by the driven device.

[0079] Furthermore, it includes a user interface for displaying score ranking information of multiple image works collected by two or more camera devices; the user interface receives a touch operation of the user to select the exported image work.

[0080] In some implementations, the video exporting device includes a touch screen display. The touch screen display can be a smartphone-based smart terminal when the master device is a smartphone. Alternatively, it can be a standalone touch screen display for displaying a user interface and receiving user touch operations to select and interact with the video work.

[0081] The user interface receives a user's touch operation, and the control processor can configure the audio material and / or image material pre-stored in the cloud server and / or the storage to be added when the camera device captures the image work.

[0082] The image materials can be different photo frames and stickers, making the image works display richer content. Each camera device can be set with different shooting modes, add different image materials and background music, and finally generate works of different styles to distribute to end users, achieving the goal of shooting multiple styles at one time.

[0083] The storage capacity is limited, and the pre-stored audio materials and / or image materials are smaller than the large storage space of the cloud server, or the newly added audio materials and / or image materials of the cloud server have not yet been sent to the storage. Then when the user interface receives the user's touch operation, it can also connect to the cloud server to download and call its pre-stored audio materials and / or image materials for configuration.

[0084] Please refer to Figures 1 to 5. The driving device includes a shooting bracket, and two or more camera devices are distributed and installed at different positions on the shooting bracket. The position and angle of the camera device relative to the shooting bracket can be adjusted.

[0085] The mechanism that enables the camera device to adjust its position and angle relative to the shooting bracket can be implemented using existing mechanisms such as a telescopic rod, a universal ball head clamp, a metal gooseneck, etc., and is suitable for framing and shooting subjects of different heights.

[0086] Furthermore, the cloud server receives a synchronous shooting instruction issued by the main control device, controls two or more camera devices to work synchronously to capture image works and store them in the storage.

[0087] The cloud server serves as the synchronization control terminal for multiple devices. When the main control device initiates a synchronous shooting command, it first sends the synchronous shooting command to the cloud server. After receiving the synchronous shooting command, the cloud server sends shooting commands to multiple other camera devices. Only then will multiple camera devices trigger shooting to achieve the purpose of synchronous shooting.

[0088] This embodiment provides a computer-readable medium having a computer program stored thereon, which implements the aforementioned video exporting method when the program is processed and executed.

[0089] This embodiment provides a shooting device, including: a driving device, a camera device, one or more control processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more controllers, the one or more controllers implement the video export method as described above.

[0090] The number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the driving device; the driving device is used to carry the camera devices and move relative to the object being photographed; the control processor controls the camera devices to capture image works and store them in the storage;

[0091] The storage device is used to store the image works captured by the camera device and is also used to store one or more programs. The user is called by the control processor and executes control instructions. When the one or more programs are executed by the one or more control processors, the one or more controllers implement the above-mentioned video export method, which includes the following steps:

[0092] When two or more camera devices are capturing a video or storing the captured video work in a storage device, m video frames are detected for each generated video file to determine whether the captured object appears in the m video frames;

[0093] When it is detected that n of the m video frames contain the photographed object, a first index score n is recorded for the corresponding image work captured by the camera device, where 0≤n≤m;

[0094] Detecting the video frame where the photographed object appears, and determining whether the position of the photographed object relative to the video frame is within a predetermined position range;

[0095] When it is detected that h captured target images appear in the predetermined position range in n video frames, a second index score h is recorded for the corresponding image work captured by the camera device, where 0≤h≤n;

[0096] The first index scores and the second index scores accumulated by the corresponding image works captured by two or more camera devices are counted and compared, and the image work with the highest statistical index score or all the image works are exported to the target terminal.

[0097] Through this method, the program can automatically select two or more image works captured by two or more camera devices, quickly count and compare them, and export the image works with the highest statistical index scores to the target terminal. This method of shooting with multiple devices, scoring and exporting the best works is more efficient and saves time compared to the method that requires image clipping and rendering.

[0098] In one implementation scenario of the video export method, apparatus, computer-readable medium, and shooting device, the working process is as follows:

[0099] The video export device is a shared entertainment photo booth facility located in an entertainment venue or public place. It includes a support stage 1 for users to stand on, a drive device 2 including a motor, a driving wheel connected to the motor power output shaft, a driven wheel transmission-connected to the driving wheel, and a shooting bracket 3 connected to the end face of the driven wheel. Two or more camera devices 410 are distributed and installed at different positions on the shooting bracket 3. The motor drives the shooting bracket 3 and the camera devices 410 to rotate around the support stage 1 through the driving wheel and the driven wheel, and move relative to the user on the support stage 1. The control processor 420 controls the two or more camera devices 410 to capture two or more video works and store them in a memory 430.

[0100] Because the motor of the driving device 2 is driven to rotate, the shooting bracket 3 and two or more camera devices 410 are relative to the user being photographed. When the user always faces the same direction, the rotating camera device 410 appears periodically in the front range of the user, and the corresponding image work segments are also periodic. Then, for the video frame detection where the photographed target appears, it is determined whether the position where the photographed target appears relative to the video frame is within the predetermined position range. The video frame to be detected can only select the corresponding periodic segments, which is more accurate and efficient.

[0101] In this implementation, the determination of whether a subject appears in a video frame is performed. The subject is a user. The determination of whether the subject's position relative to the video frame is within a predetermined range is essentially determining whether the user's face is within the center of the frame. By detecting the user's face position across multiple video frames for each work, the greater the number of times the face appears and the closer the face is to the center of the frame, the higher the quality of the corresponding video work, resulting in a higher statistical index score. The statistical index scores of several video works are compared, and the best work is ultimately determined.

[0102] Each set of camera devices 410, control processor 420, storage 430, and connection module 440 can be integrated into a master control device 4. The master control device 4 can also be an existing smart terminal, such as a smartphone. Among the multiple master control devices 4, the master control device 4 provided by the video export device can be used; or a user-provided smartphone can be used as the master control device 4. By installing an app or opening a mini-program, the control system can be accessed. The connection module 440 is Bluetooth, WiFi, or other hardware that provides a connection function, and sends control instructions to control the driving device 2 to drive the shooting bracket 3 to rotate 360 ​​degrees, and simultaneously control multiple camera devices 410 to shoot.

[0103] After each camera device 410 finishes shooting or is in the process of shooting an image work, each main control device 4 can detect the video frame by itself, determine whether the photographed target appears in the video frame, determine whether the position of the photographed target relative to the video frame is within a predetermined position range, such as face detection, and score quality judgment, and send the work detection results to the cloud server 5 respectively, and finally compare the best work and push it to the end user.

[0104] Alternatively, a main control device 4 including a camera device 410, a control processor 420, a storage 430, and a connection module 440 is combined with one or more additional camera devices 410 to capture image works; the additional camera device 410 is an independent camera device, such as a sports camera.

[0105] Two or more master control devices 4 are connected to each other using a connection module 440. One master control machine can be set up among the two or more master control devices 4 to control itself and other master control devices 4 and drive devices 2 connected thereto to issue control instructions for regulation work.

[0106] 4 , each master control device 4 utilizes a camera device 410 to capture video or stores the captured video works in a memory 430 , and controls a processor 420 to perform calculations, execute a computer program for a video export method, compare statistical index score data with a connection module 440 online, and export the video work with the highest statistical index score or all video works to a target terminal.

[0107] Before exporting all video works to the target terminal, the video works with the highest statistical index scores can be marked to distinguish them from other video works, so that users can find them quickly and easily when browsing on the target terminal.

[0108] Please refer to Figure 5. It can also be that each main control device 4 uses the camera device 410 to store the collected image works in the storage 430, and then uploads the image works to the cloud server 5 through the communication module 450. Compared with the main control device 4, the cloud server 5 can use a processor with higher computing power and stronger performance to process operations. When the processor performance is higher, the number of video frames sampled is more. The computer program of the video export method runs, the statistical index score data is compared, and the image work with the highest statistical index score is selected for export and sent to the target terminal via the Internet.

[0109] The storage devices 430 of multiple master control devices 4 can form an interoperable file library. After or during the operation of the computer program of the video export method, the user can use one of the master control devices 4 to browse multiple video works in the interoperable file library through the user interface 460. The user interface 460 receives the user's touch operation selection. The computer program of the video export method records a weighted index score f for the selected video work according to the user's instruction to export the video work. The weighted index score f is greater than the statistical index scores of the remaining video works, and finally the video work selected and judged by the user is exported.

[0110] Alternatively, the user may utilize one of the main control devices 4 to connect to the cloud server 5 via the communication module 450, and browse multiple video works uploaded to the cloud server 5 via the user interface 460. The user interface 460 receives the user's touch operation selection, and the computer program of the video export method records a weighted index score f for the selected video work according to the user's instruction to export the video work. The weighted index score f is greater than the statistical index scores of the remaining video works, and finally the video work selected and judged by the user is exported.

[0111] If the computer program of the video export method is first run, the video work with the highest statistical index score can be displayed on the user interface 460. The analysis score ranking and the work quality results can then be displayed on the user interface 460. The user can then browse and select by manual touch selection, select his or her favorite work, and record a weighted index score f for the selected video work. The weighted index score f is greater than the statistical index scores of the remaining video works, and finally the video work selected and judged by the user is exported.

[0112] The computer program of the video export method can also introduce AI machine learning algorithms to compare and train the image works exported by itself according to the video export method, and conduct comparative analysis on the works selected by the user through visual browsing, so as to detect whether the photographed target appears in the video frame and judge whether the position of the photographed target relative to the video frame is within the predetermined position range, which is more in line with human thinking and analytical behavior, making the detection level increasingly higher.

[0113] After the image works stored in the storage 430 are uploaded to the cloud server 5, the storage 430 can delete the image works locally or put them into a recycle bin to free up storage space for subsequent different users to use the shared photo booth to collect image works.

[0114] After confirming the export of the video works selected by the user, the cloud server 5 stores them and generates a download link address, which is sent via the Internet. The communication module 450 receives the QR code image converted from the download link address and pushes it to the user interface 460 for the user to scan and download. The remaining video works not selected for export are deleted or placed in the recycle bin.

[0115] In this way, when multiple users queue up to use the shared rotating photo booth, they do not need to wait for the traditional manual editing, splicing, synthesis, processing and rendering of videos, which is inefficient and time-consuming, to export video works with better display effects. Instead, the method provided by the present invention is simple, and a machine program is used to quickly browse and sample several video frames, perform image recognition, score and statistically judge, and select and export the best works. The detection results are accurate and more efficient, and the best shooting camera works are automatically identified, and the best shooting works are distributed to end users, so that users do not occupy the equipment for a long time waiting for the export of image works, commercial profits are more abundant, user waiting time is reduced, and user satisfaction is improved.

Claims

1. A video export method, applied to a shooting device, characterized in that: The shooting device includes a driving device, a camera device, a control processor, and a storage device, wherein the number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the driving device; the driving device is used to carry the camera devices to move relative to the object being photographed; The control processor controls the camera device to capture the image work and store it in the storage; The video export method comprises the following steps: When two or more camera devices are capturing a video or storing the captured video work in a storage device, m video frames are detected for each generated video file to determine whether the captured object appears in the m video frames; When it is detected that n of the m video frames contain the photographed object, a first index score n is recorded for the corresponding image work captured by the camera device, where 0≤n≤m; Detecting the video frame where the photographed object appears, and determining whether the position of the photographed object relative to the video frame is within a predetermined position range; When it is detected that h captured target images appear in the predetermined position range in n video frames, a second index score h is recorded for the corresponding image work captured by the camera device, where 0≤h≤n; The first index scores and the second index scores accumulated by the corresponding image works captured by two or more camera devices are counted and compared, and the image work with the highest statistical index score is exported to the target terminal.

2. A video export method according to claim 1, characterized in that: The video export method is specifically as follows: Generate h video frames with the target being photographed located in the predetermined position range. 总 , where the alignment rate k 总 The value is set as a percentage from 1 to 100. Alignment rate of any video frame The preset position in the video frame is (X o , Y o ), the position of the photographed target in the video frame is (X h , Y h ).

3. A video export method according to claim 1, characterized in that: The method includes: according to the instruction of exporting an image work selected by a user after browsing multiple image works captured by two or more camera devices, recording a weighted index score f for the selected image work, wherein the weighted index score f is greater than the statistical index scores of the remaining image works.

4. A video export device, comprising a shooting device, characterized in that: The shooting device includes a driving device, a camera device, a control processor, and a storage device, wherein the number of the camera devices is two or more; the two or more camera devices are distributed and installed at different positions on the driving device; the control processor is used to control the driving device to carry the camera devices to move relative to the object being photographed; and the control processor controls the camera device to capture the image work and store it in the storage; The control processor is used to export the video work with the highest statistical index score or all the video works to the target terminal.

5. The video exporting device according to claim 4, characterized in that: The system comprises a main control device and a connection module, wherein the control processor is electrically connected to the connection module; according to the driving instruction issued by the main control device received by the connection module, the control processor controls the driving device to drive the camera device to move relative to the object being photographed; The control processor controls the camera device to capture the image work and store it in the storage according to the shooting instruction sent by the main control device received by the connection module; The control processor exports the video work with the highest statistical index score or all the video works to the target terminal according to the sending instruction sent by the main control device received by the connection module.

6. The video exporting device according to claim 5, characterized in that: It also includes a communication module and a cloud server; the control processor is electrically connected to the communication module; the control processor exports the image work with the highest statistical index score to any target terminal such as the cloud server, email box, or SMS / MMS receiving number through the communication module based on the sending instruction issued by the main control device received by the connection module.

7. The video exporting device according to claim 6, characterized in that: The control processor receives the control instructions issued by the main control device through the cloud server and the communication module.

8. The video exporting device according to claim 6, characterized in that: It includes a user interface for displaying score ranking information of multiple image works collected by two or more camera devices; the user interface receives a user's touch operation to select an exported image work.

9. The video exporting device according to claim 8, characterized in that: The user interface receives a user's touch operation, and the control processor can configure the audio material and / or image material pre-stored in the cloud server and / or the storage to be added when the camera device captures the image work.

10. The video exporting device according to claim 4, characterized in that: The driving device includes a shooting bracket, and two or more camera devices are distributed and installed at different positions on the shooting bracket. The position and angle of the camera device relative to the shooting bracket can be adjusted.

11. The video exporting device according to claim 6, characterized in that: The cloud server receives the synchronous shooting instruction issued by the main control device, controls two or more camera devices to work synchronously to capture image works and store them in the storage.

12. A computer-readable medium having a computer program stored thereon, characterized in that: When the program is processed and executed, the video exporting method according to any one of claims 1 to 3 is implemented.

13. A photographing device, characterized in that: include: one or more control processors; A storage device for storing one or more programs, which, when executed by the one or more controllers, enables the one or more controllers to implement the video exporting method according to any one of claims 1 to 3.

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