CN114025099A

CN114025099A - Method and device for regulating composition of shot image and computer readable storage medium

Info

Publication number: CN114025099A
Application number: CN202111414228.1A
Authority: CN
Inventors: 王秀琳
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2021-11-25
Filing date: 2021-11-25
Publication date: 2022-02-08

Abstract

The invention discloses a method, equipment and a computer readable storage medium for regulating composition of a shot image, wherein the method comprises the following steps: acquiring a preview image, and inputting the preview image to a preset composition recommendation network to obtain a recommended composition; acquiring a current camera list and a trigger condition list corresponding to each camera in the camera list; judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list or not; and if the current camera exists, generating a switching option of the camera in the preview area, and if the current camera does not exist, reserving the current camera and generating a movement option corresponding to the recommended composition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

Description

Method and device for regulating composition of shot image and computer readable storage medium

Technical Field

The invention relates to the field of mobile communication, in particular to a method and equipment for regulating and controlling composition of a shot image and a computer readable storage medium.

Background

In the prior art, along with the continuous development of intelligent terminal equipment, the shooting experience requirements of users on equipment such as mobile phones are higher and higher. Particularly, in various shooting scenes, such as people, animals, landscapes, buildings, food and the like, intelligent and effective composition recommendation is provided for the user, so that the shooting threshold of the user using the mobile device can be reduced, and the user experience is greatly improved.

In order to solve the above technical problems, the commonly used composition schemes at present are generally composition methods based on subject target detection, such as in-center composition, trisection composition, and the like, and the composition using scene is single and the composition method is single. Meanwhile, such a composition recommendation method based on subject object detection does not conform to an aesthetic mechanism.

Therefore, in the prior art, a more intelligent, humanized and aesthetic scheme for regulating and controlling the composition of a shot image is needed.

Disclosure of Invention

In order to solve the technical defects in the prior art, the invention provides a method for regulating and controlling composition of a shot image, which comprises the following steps:

and acquiring a preview image, and inputting the preview image to a preset composition recommendation network to obtain a recommended composition.

The method comprises the steps of obtaining a current camera list and a trigger condition list corresponding to each camera in the camera list.

And judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list.

And if the camera meeting the trigger condition exists, generating a switching option of the camera in a preview area, and if the camera meeting the trigger condition does not exist, reserving the current camera and generating a movement option corresponding to the recommended composition.

Optionally, the obtaining a preview image and inputting the preview image to a preset composition recommendation network to obtain a recommended composition includes:

a preset number of image data sets is acquired.

And each image in the image data set is cut according to a preset cutting strategy, wherein the cutting strategy comprises one or more of length-width ratio setting, area ratio setting and position area setting.

Optionally, the obtaining a preview image and inputting the preview image to a preset composition recommendation network to obtain a recommended composition further includes:

and inputting each cut image into a preset composition aesthetic scoring network to obtain the composition aesthetic score of the cut image, and taking the composition aesthetic score as label data of the cut image.

And forming an updated image data set by each cut image and the corresponding label data.

and constructing a composition recommendation network based on composition aesthetic scores, and training the composition recommendation network by using a training set obtained by dividing the updated image data set.

And stopping training when the loss of the composition recommending network in a test set obtained by dividing the updated image data set is less than a preset threshold value, and solidifying the composition recommending network and the corresponding model parameters.

Optionally, the determining whether the recommended composition corresponding to each camera in the camera list satisfies the trigger condition corresponding to the camera in the trigger condition list includes:

and determining a first threshold condition corresponding to the area of the recommended composition region according to the type of the camera.

And if the recommended composition corresponding to the camera is larger than the first threshold condition, determining that the camera meets the trigger condition.

Optionally, the determining whether the recommended composition corresponding to each camera in the camera list meets the trigger condition corresponding to the camera in the trigger condition list further includes:

and determining corresponding position conditions according to the type of the camera and the position of the recommended composition area.

And if the recommended composition corresponding to the camera meets the position condition, determining that the camera meets the trigger condition.

and determining corresponding neighborhood conditions according to the type of the camera, the area position of the recommended composition and the preview central area.

And if the area position of the recommended composition corresponding to the camera belongs to the neighborhood area of the preview center area, determining that the camera meets the trigger condition.

and determining a second threshold condition corresponding to the area of the recommended composition region according to the type of the camera.

And if the recommended composition corresponding to the camera is smaller than the second threshold condition, determining that the camera meets the trigger condition.

The invention also provides a shot image composition regulation and control device which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the computer program realizes the steps of the shot image composition regulation and control method according to any one of the above items when being executed by the processor.

The invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a shot image composition regulation program, and the shot image composition regulation program realizes the steps of the shot image composition regulation method according to any one item when being executed by a processor.

By implementing the shot image composition regulation method, the shot image composition regulation equipment and the computer readable storage medium, the recommended composition is obtained by obtaining the preview image and inputting the preview image into a preset composition recommending network; acquiring a current camera list and a trigger condition list corresponding to each camera in the camera list; judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list or not; and if the camera meeting the trigger condition exists, generating a switching option of the camera in a preview area, and if the camera meeting the trigger condition does not exist, reserving the current camera and generating a movement option corresponding to the recommended composition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

Drawings

The invention will be further described with reference to the accompanying drawings and examples, in which:

fig. 1 is a schematic diagram of a hardware structure of a mobile terminal according to the present invention;

fig. 2 is a communication network system architecture diagram provided by an embodiment of the present invention;

FIG. 3 is a flowchart of a composition adjustment method for a captured image according to a first embodiment of the present invention;

FIG. 4 is a flowchart of a composition adjustment method for a captured image according to a second embodiment of the present invention;

FIG. 5 is a flowchart of a method for regulating composition of a captured image according to a third embodiment of the present invention;

FIG. 6 is a flowchart of a composition adjustment method for a captured image according to a fourth embodiment of the present invention;

FIG. 7 is a flowchart of a fifth embodiment of a captured image composition adjustment method according to the present invention;

FIG. 8 is a flowchart of a composition adjustment method for a captured image according to a sixth embodiment of the present invention;

FIG. 9 is a flowchart of a composition adjustment method for a captured image according to a seventh embodiment of the present invention;

fig. 10 is a flowchart of a composition adjustment method for a captured image according to an eighth embodiment of the present invention.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.

The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.

The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.

Example one

Fig. 3 is a flowchart of a composition adjustment method for a captured image according to a first embodiment of the present invention. A picture composition regulation method for a shot image comprises the following steps:

and S1, acquiring the preview image, and inputting the preview image to a preset composition recommendation network to obtain a recommended composition.

S2, acquiring a current camera list and a trigger condition list corresponding to each camera in the camera list.

S3, judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list.

And S4, if the camera meeting the trigger condition exists, generating a switching option of the camera in a preview area, and if the camera meeting the trigger condition does not exist, reserving the current camera and generating a movement option corresponding to the recommended composition.

In this embodiment, it is considered that the current composition recommendation method is generally completed based on the preview of the camera currently selected by the user, and the influence of the selection and switching of the camera on the composition is not considered on the premise of taking multiple shots; only composition recommendation is performed based on the camera currently selected by the user, and sometimes a good composition recommendation effect cannot be obtained; if the user selects the standard camera to shoot the plant, the current composition recommending area meets the established condition that the user is recommended to select the macro camera to shoot, and better composition effect and shooting effect can be obtained.

Specifically, the method comprises the following steps: step 1, acquiring a preview image _ preview; step 2, preprocessing the preview image according to the established requirement to obtain a preprocessed preview image _ preprocessing and a preprocessed image size: width _ process, height _ process; step 3, inputting the preprocessed preview image _ preprocessing into a composition recommendation network (CPN) (composition progress network); step 4, obtaining an output CPN _ out of the composition recommendation network CPN: CPN _ out ═ { x, y, width, height, score }, where: x and y are the abscissa and ordinate of the start and stop point (generally, the upper left point) of the current recommended composition area, width and height are the width and height of the current recommended composition area, and score is the aesthetic score of the current recommended composition area.

Specifically, the method comprises the following steps: step 5, acquiring a preset camera list: lens ═ lens₁,lens₂,……,lens_n}; step 6, acquiring a trigger condition list corresponding to each camera: trig ═ Trig₁,trig₂,……,trig_n}；

Wherein: cond_jFor triggering lens_iThe triggering conditions that need to be met; step 7, for each lens in the lens list lens_i(ii) a Step 7.1, obtain its trigger condition tabulation trig_i(ii) a Step 7.2, judging whether the current composition recommendation meets the current trigger condition; 7.3, if yes, prompting a user to switch a corresponding camera to shoot in a preset area in the preview; and 8, if the triggering condition of any camera is not met, reserving the use of the current camera, recommending according to the current composition, and prompting the moving direction required by the user terminal equipment.

It can be seen that, in the present embodiment, a composition recommendation network based on aesthetic scores is proposed, so that composition recommendations are not limited to a single scene or a single composition manner. The composition recommendation mode combining multiple shots provided by the embodiment improves the rationality of composition recommendation, improves the utilization rate of multiple shots and improves the image shooting quality.

The method has the advantages that the recommended composition is obtained by obtaining the preview image and inputting the preview image to a preset composition recommending network; acquiring a current camera list and a trigger condition list corresponding to each camera in the camera list; judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list or not; and if the camera meeting the trigger condition exists, generating a switching option of the camera in a preview area, and if the camera meeting the trigger condition does not exist, reserving the current camera and generating a movement option corresponding to the recommended composition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

Example two

Fig. 4 is a flowchart of a second embodiment of the method for regulating and controlling composition of a captured image according to the present invention, where based on the above embodiments, the method obtains a preview image, and inputs the preview image to a preset composition recommendation network to obtain a recommended composition, and includes the following steps:

s01, acquiring a preset number of image data sets.

And S02, cropping each image in the image data set according to a preset cropping strategy, wherein the cropping strategy comprises one or more of length-width ratio setting, area ratio setting and position area setting.

Optionally, in this embodiment, a predetermined number of image data sets IAMGE _ DATASET are acquired; IAMGE _ DATASET { IAMGE } { (IAMGE })₁,iamge₂,……,iamge_m1}。

Alternatively, in this embodiment, iamge is applied to each image in the image dataset_iAnd cutting according to a set strategy:

wherein the established policies include, but are not limited to: a predetermined length/width ratio, for example, 1:1, 2:3, 3:2, a predetermined area ratio, for example, 0.8, 0.5, etc. of the preview area, and a predetermined position area, for example, the center area, etc.

The method has the advantages that the preset number of image data sets are obtained; and each image in the image data set is cut according to a preset cutting strategy, wherein the cutting strategy comprises one or more of length-width ratio setting, area ratio setting and position area setting. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

EXAMPLE III

Fig. 5 is a flowchart of a third embodiment of the method for regulating and controlling composition of a captured image according to the present invention, where based on the above embodiments, the method obtains a preview image, and inputs the preview image to a preset composition recommendation network to obtain a recommended composition, and before the method, the method further includes:

and S03, inputting each cut image into a preset composition aesthetic scoring network to obtain the composition aesthetic score of the cut image, and taking the composition aesthetic score as label data of the cut image.

And S04, forming an updated image data set by each cut image and the corresponding label data.

Alternatively, in this embodiment, each image iamge is_iEach crop image crop_jInputting the existing aesthetic scoring network to obtain crop image crop_jAs a crop image crop_jLabel data label of_j：

Alternatively, in this embodiment, each image iamge is_iEach crop image crop_jAnd its label data, make up the new image data set IAMGE _ CROP _ DATASET; IAMGE _ DATASET { image _ data }₁,image_data₂,……,image_data_m2}, wherein: image _ data_i＝{image_i,image_crop_i,image_label_i}。

The method has the advantages that each cut image is input to a preset composition aesthetic scoring network, so that the composition aesthetic score of the cut image is obtained, and the composition aesthetic score is used as label data of the cut image; and forming an updated image data set by each cut image and the corresponding label data. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

Example four

Fig. 6 is a flowchart of a fourth embodiment of the method for regulating composition of a captured image according to the present invention, where based on the above embodiments, the method obtains a preview image, and inputs the preview image to a preset composition recommendation network to obtain a recommended composition, and before the method, the method further includes:

s05, constructing a composition recommendation network based on composition aesthetic scores, and training the composition recommendation network by a training set obtained by dividing the updated image data set.

And S06, stopping training when the loss of the composition recommending network in the test set obtained by dividing the updated image data set is less than a preset threshold value, and solidifying the composition recommending network and the corresponding model parameters.

Optionally, in this embodiment, the image data set IAMGE _ cross _ DATASET is divided into training sets IAMGE _ cross _ DATASET _ TRAIN including, but not limited toAnd a subset of images including the TEST set IAMGE _ CROP _ DATASET _ TEST. Constructing a composition recommendation network based on the aesthetic scores; each piece of data image _ data in an input set of data of the aesthetic scoring network_iImage in (1)_iAnd outputting the aesthetic scores of all the subgraphs under the set clipping strategy.

Optionally, in this embodiment, the composition recommendation network is trained using a training set in the data set, so that the network outputs net _ out and tag data image _ label_iThe loss between the two is decreased, and the network model parameters are optimized in a back propagation mode:

stopping training when the loss of the pattern recommendation network in the test set is less than a given threshold loss TH. And finally, solidifying the network model structure and the network model parameters.

Optionally, in this embodiment, the method for using the composition recommendation network includes: acquiring a curing model structure file and a model parameter file of the composition recommendation network; recovering a network model by using the solidification model structure file and the model parameter file of the composition recommendation network; acquiring network model input; acquiring a network model output net _ out; and acquiring the subgraph with the highest aesthetic score in the network model output as the composition recommendation output CPN _ out of the composition recommendation network CPN.

The method has the advantages that the composition recommendation network is trained through a training set obtained by dividing the updated image data set by constructing the composition recommendation network based on composition aesthetic scores; and stopping training when the loss of the composition recommending network in a test set obtained by dividing the updated image data set is less than a preset threshold value, and solidifying the composition recommending network and the corresponding model parameters. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

EXAMPLE five

Fig. 7 is a flowchart of a fifth embodiment of a composition adjustment method for a shot image according to the present invention, where based on the above embodiments, the determining whether the recommended composition corresponding to each camera in the camera list satisfies the trigger condition corresponding to the camera in the trigger condition list includes:

and S31, determining a first threshold condition corresponding to the area of the recommended composition according to the type of the camera.

S32, if the recommended composition corresponding to the camera is larger than the first threshold value condition, determining that the camera meets the trigger condition.

Optionally, in this embodiment, a preset camera list is obtained: lens ═ lens₁,lens₂,……,lens_n}; acquiring a trigger condition list corresponding to each camera: trig ═ Trig₁,trig₂,……,trig_n}；

Wherein: cond_jFor triggering lens_iThe triggering conditions that need to be met.

Optionally, in this embodiment, the lens_iFor a macro camera, the corresponding trigger conditions may be: cond₁For the current recommended composition area being greater than a given first threshold:

the method has the advantages that the first threshold condition corresponding to the area of the recommended composition area is determined according to the type of the camera; and if the recommended composition corresponding to the camera is larger than the first threshold condition, determining that the camera meets the trigger condition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

EXAMPLE six

Fig. 8 is a flowchart of a sixth embodiment of a composition adjustment method for a shot image according to the present invention, where based on the above embodiments, the determining whether the recommended composition corresponding to each camera in the camera list satisfies the trigger condition corresponding to the camera in the trigger condition list further includes:

and S33, determining corresponding position conditions according to the type of the camera and the position of the recommended composition area.

And S34, if the recommended composition corresponding to the camera meets the position condition, determining that the camera meets the trigger condition.

The method has the advantages that the corresponding position condition is determined according to the type of the camera and the position of the recommended composition area; and if the recommended composition corresponding to the camera meets the position condition, determining that the camera meets the trigger condition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

EXAMPLE seven

Fig. 9 is a flowchart of a composition adjustment method for a shot image according to a seventh embodiment of the present invention, where based on the above embodiments, the determining whether the recommended composition corresponding to each camera in the camera list satisfies the trigger condition corresponding to the camera in the trigger condition list further includes:

s35, determining corresponding neighborhood conditions according to the type of the camera, the area position of the recommended composition and the preview center area.

S36, if the area position of the recommended composition corresponding to the camera belongs to the neighborhood area of the preview center area, determining that the camera meets the triggering condition.

Optionally, in this embodiment, cond₃And the recommended composition area is located in a preset neighborhood range of the preview central area at present.

Wherein:

the method has the advantages that the corresponding neighborhood condition is determined according to the type of the camera, the area position of the recommended composition and the preview center area; and if the area position of the recommended composition corresponding to the camera belongs to the neighborhood area of the preview center area, determining that the camera meets the trigger condition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

Example eight

Fig. 10 is a flowchart of an eighth embodiment of a composition adjustment method for a shot image according to the present invention, where based on the above embodiments, the determining whether the recommended composition corresponding to each camera in the camera list meets the trigger condition corresponding to the camera in the trigger condition list further includes:

and S37, determining a second threshold condition corresponding to the area of the recommended composition area according to the type of the camera.

S38, if the recommended composition corresponding to the camera is smaller than the second threshold value condition, determining that the camera meets the trigger condition.

Optionally, in this embodiment, cond₂For the current recommended composition area being smaller than a given second threshold:

the method has the advantages that the second threshold condition corresponding to the area of the recommended composition area is determined according to the type of the camera; and if the recommended composition corresponding to the camera is smaller than the second threshold condition, determining that the camera meets the trigger condition. The humanized scheme for shooting the picture composition is realized, the configuration conditions of multiple cameras of the conventional equipment are fully utilized, the aesthetic degree of the picture composition is greatly improved, and the shooting picture composition experience of a user is enhanced.

Example nine

Based on the above embodiment, the present invention further provides a captured image composition regulation and control device, which includes a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein when the computer program is executed by the processor, the steps of the captured image composition regulation and control method as described in any one of the above are implemented.

It should be noted that the device embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the device embodiment, which is not described herein again.

Example ten

Based on the foregoing embodiment, the present invention further provides a computer-readable storage medium, where a captured image composition regulation program is stored on the computer-readable storage medium, and when the captured image composition regulation program is executed by a processor, the steps of the captured image composition regulation method according to any one of the foregoing embodiments are implemented.

It should be noted that the media embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are correspondingly applicable in the media embodiment, which is not described herein again.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A picture composition regulation method for shot images is characterized by comprising the following steps:

acquiring a preview image, and inputting the preview image to a preset composition recommendation network to obtain a recommended composition;

acquiring a current camera list and a trigger condition list corresponding to each camera in the camera list;

judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list or not;

2. The method for regulating composition of the shot image according to claim 1, wherein the step of obtaining the preview image and inputting the preview image to a preset composition recommendation network to obtain the recommended composition comprises the steps of:

acquiring a preset number of image data sets;

3. The method for regulating composition of the captured image according to claim 2, wherein the step of obtaining the preview image and inputting the preview image to a preset composition recommendation network to obtain the recommended composition further comprises the steps of:

inputting each cut image into a preset composition aesthetic scoring network to obtain composition aesthetic scores of the cut images, and using the composition aesthetic scores as label data of the cut images;

4. The method for regulating composition of the captured image according to claim 3, wherein the step of obtaining the preview image and inputting the preview image to a preset composition recommendation network to obtain the recommended composition further comprises the steps of:

constructing a composition recommendation network based on composition aesthetic scores, and training the composition recommendation network by a training set obtained by dividing the updated image data set;

5. The method for regulating composition of the shot image according to claim 4, wherein the step of judging whether the recommended composition corresponding to each camera in the camera list meets the triggering condition corresponding to the camera in the triggering condition list comprises the steps of:

determining a first threshold condition corresponding to the area of the recommended composition region according to the type of the camera;

6. The method for regulating composition of the captured image according to claim 5, wherein the step of judging whether the recommended composition corresponding to each camera in the camera list meets the trigger condition corresponding to the camera in the trigger condition list further comprises the steps of:

determining corresponding position conditions according to the type of the camera and the position of the recommended composition area;

7. The method for regulating composition of the captured image according to claim 6, wherein the step of judging whether the recommended composition corresponding to each camera in the camera list meets the trigger condition corresponding to the camera in the trigger condition list further comprises the steps of:

determining a corresponding neighborhood condition according to the type of the camera, the area position of the recommended composition and a preview central area;

8. The method for regulating composition of the captured image according to claim 7, wherein the step of judging whether the recommended composition corresponding to each camera in the camera list meets the trigger condition corresponding to the camera in the trigger condition list further comprises the steps of:

determining a second threshold condition corresponding to the area of the recommended composition region according to the type of the camera;

9. A captured image composition regulation apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the captured image composition regulation method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a captured image composition adjustment program that, when executed by a processor, implements the steps of the captured image composition adjustment method according to any one of claims 1 to 8.