CN118175417A

CN118175417A - Control method, intelligent terminal and storage medium

Info

Publication number: CN118175417A
Application number: CN202211569197.1A
Authority: CN
Inventors: 杨静静
Original assignee: Shenzhen Transsion Holdings Co Ltd
Current assignee: Shenzhen Transsion Holdings Co Ltd
Priority date: 2022-12-08
Filing date: 2022-12-08
Publication date: 2024-06-11

Abstract

The application provides a control method, an intelligent terminal and a storage medium, wherein the control method is applied to the intelligent terminal and comprises the following steps: acquiring an image to be identified; when a preset user-defined gesture is identified, executing a shooting instruction corresponding to the user-defined gesture. Through the technical scheme, shooting control can be carried out through the custom gesture in the shooting process without being limited by factors such as a shutter key, a shooting parameter adjusting key and an arm length on the intelligent terminal, so that the final shooting effect is the largest possible to meet the expectations of users, the technical problem of lower flexibility of a shooting control mode is solved, and further user experience is improved.

Description

Control method, intelligent terminal and storage medium

Technical Field

The application relates to the technical field of intelligent terminals, in particular to a control method, an intelligent terminal and a storage medium.

Background

Along with the development of intelligent terminal technology, people increasingly use the shooting function of the intelligent terminal to perform self-shooting, however, the self-shooting is limited greatly by factors such as a shutter key, a shooting parameter adjusting key, an arm length and the like on the intelligent terminal, so that a user is difficult to complete shooting completely according to own will.

In the course of conception and implementation of the present application, the inventors found that at least the following problems exist: the flexibility of the shooting control mode is low.

The foregoing description is provided for general background information and does not necessarily constitute prior art.

Disclosure of Invention

Aiming at the technical problems, the application provides a control method, an intelligent terminal and a storage medium, so that a user can complete self-timer more flexibly, and the operation is simple and convenient.

In order to solve the technical problems, the present application provides a control method, which can be applied to an intelligent terminal, including:

S10: acquiring an image to be identified;

S20: when a preset user-defined gesture is identified, executing a shooting instruction corresponding to the user-defined gesture.

Optionally, before the step S20, the method further includes:

A10: acquiring a gesture setting image;

a20: identifying a gesture to be set in the gesture setting image;

A30: and if the gesture to be set is matched with a target gesture in a preset gesture library, determining the target gesture as a custom gesture.

Optionally, after the step a20, the method further includes:

A40: if the gesture to be set is not matched with the target gesture in the preset gesture library, outputting first prompt information with low recognition accuracy, and returning to the execution step: and acquiring a gesture setting image.

Optionally, the step a40 includes:

a41: if the gesture to be set is not matched with the target gesture in the preset gesture library, increasing the number of times of mismatching by a preset value;

a42: judging whether the number of mismatching times exceeds a preset threshold value of mismatching times;

A43: if not, outputting a first prompt message with low recognition accuracy, and returning to the execution step: and acquiring a gesture setting image.

Optionally, after the step a42, the method further includes:

A44: if yes, outputting second prompt information of the replacement gesture and/or a preset recommendation gesture;

a45: when a change gesture operation is detected, a new target gesture is determined based on the change gesture operation, and the execution step is returned: and acquiring a gesture setting image.

Optionally, before the step a44, the method further includes:

acquiring recognition accuracy statistic values corresponding to gestures in a preset gesture library;

And determining or generating a preset recommended gesture from a preset gesture library according to the recognition accuracy statistic value.

Optionally, before the step a30, the method further includes:

b10: matching the gesture to be set with a target gesture in a preset gesture library, and determining or generating the recognition accuracy of the gesture to be set and the target gesture;

B20: judging whether the identification accuracy is higher than a preset accuracy threshold;

B30: if yes, determining that the gesture to be set is matched with the target gesture.

Optionally, the step a30 includes:

if the gesture to be set is matched with a target gesture in a preset gesture library, detecting a gesture distance of the gesture to be set;

determining a matching result corresponding to the gesture distance as matching;

If the matching results corresponding to the preset distance ranges are all determined to be matched, determining the target gesture as a custom gesture;

if the fact that the target distance range with the matching result not being matched exists in the preset distance ranges is determined, outputting third prompt information for adjusting the identification distance according to the target distance range, and returning to the execution step: and acquiring a gesture setting image.

The application also provides an intelligent terminal, which comprises: the device comprises a memory and a processor, wherein the memory stores a shooting control program, and the shooting control program realizes the steps of the method when being executed by the processor.

The application also provides a computer storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above.

As described above, the control method of the present application is applicable to an intelligent terminal, and includes the steps of: acquiring an image to be identified; when a preset user-defined gesture is identified, executing a shooting instruction corresponding to the user-defined gesture. Through the technical scheme, the user can preset the custom gesture conforming to the shooting habit according to the self requirement, further shooting control can be carried out through the custom gesture in the shooting process without being limited by factors such as a shutter key, a shooting parameter adjusting key, an arm length and the like on the intelligent terminal, so that the final shooting effect is most likely to conform to the user expectation, and the custom gesture can be automatically decided and set by the user, so that the custom gesture is matched with the habit and requirement of the user, the technical problem of lower flexibility of a shooting control mode is solved, and further user experience is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.

Fig. 1 is a schematic hardware structure diagram of an intelligent terminal for implementing various embodiments of the present application;

fig. 2 is a schematic diagram of a communication network system according to an embodiment of the present application;

FIG. 3 is a flow chart of a first embodiment of the control method of the present application;

FIG. 4 is a flow chart of a second embodiment of the control method of the present application;

Fig. 5 is a flow chart of a third embodiment of the control method of the present application.

The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments. Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.

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, the element defined by the phrase "comprising one … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element, and furthermore, elements having the same name in different embodiments of the application may have the same meaning or may have different meanings, the particular meaning of which is to be determined by its interpretation in this particular embodiment or by further combining the context of this particular embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" depending on the context. Furthermore, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes," and/or "including" specify the presence of stated features, steps, operations, elements, components, items, categories, and/or groups, but do not preclude the presence, presence or addition of one or more other features, steps, operations, elements, components, items, categories, and/or groups. The terms "or", "and/or", "including at least one of", and the like, as used herein, may be construed as inclusive, or mean any one or any combination. For example, "including at least one of: A. b, C "means" any one of the following: a, A is as follows; b, a step of preparing a composite material; c, performing operation; a and B; a and C; b and C; a and B and C ", again as examples," A, B or C "or" A, B and/or C "means" any of the following: a, A is as follows; b, a step of preparing a composite material; c, performing operation; a and B; a and C; b and C; a and B and C). An exception to this definition will occur only when a combination of elements, functions, steps or operations are in some way inherently mutually exclusive.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily occurring in sequence, but may be performed alternately or alternately with other steps or at least a portion of the other steps or stages.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.

It should be noted that, in this document, step numbers such as S10 and S20 are adopted, and the purpose of the present application is to more clearly and briefly describe the corresponding content, and not to constitute a substantial limitation on the sequence, and those skilled in the art may execute S20 first and then execute S10 when implementing the present application, which is within the scope of protection of the present application.

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

In the following description, suffixes such as "module", "part" or "unit" for representing elements are used only for facilitating the description of the present application, and have no specific meaning per se. Thus, "module," "component," or "unit" may be used in combination.

The intelligent terminal may be implemented in various forms. For example, the smart terminals described in the present application may include smart terminals such as mobile phones, tablet computers, notebook computers, palm computers, personal digital assistants (Personal DIGITAL ASSISTANT, PDA), portable media players (Portable MEDIA PLAYER, PMP), navigation devices, wearable devices, smart bracelets, pedometers, and fixed terminals such as digital TVs, desktop computers, and the like.

In the following description, an intelligent terminal will be described as an example, and those skilled in the art will understand that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for a mobile purpose.

Referring to fig. 1, which is a schematic hardware structure of an intelligent terminal for implementing various embodiments of the present application, the intelligent terminal 100 may include: an RF (Radio Frequency) unit 101, a WiFi module 102, an audio output unit 103, an a/V (audio/video) input unit 104, a sensor 105, a display unit 106, a user input unit 107, an interface unit 108, a memory 109, a processor 110, and a power supply 111. It will be appreciated by those skilled in the art that the configuration of the intelligent terminal shown in fig. 1 is not limiting of the intelligent terminal, and the intelligent terminal may include more or less components than those illustrated, or may combine certain components, or may have a different arrangement of components.

The following describes the components of the intelligent terminal in detail with reference to fig. 1:

The radio frequency unit 101 may be used for receiving and transmitting signals during the information receiving or communication process, specifically, after receiving downlink information of the base station, processing the downlink information by the processor 110; and, the uplink data is transmitted to the base station. Typically, the 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 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication, global System for Mobile communications), GPRS (GENERAL PACKET Radio Service), CDMA2000 (Code Division Multiple Access, code Division multiple Access 2000), WCDMA (Wideband Code Division Multiple Access ), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, time Division synchronous code Division multiple Access), FDD-LTE (Frequency Division Duplexing-Long Term Evolution, frequency Division Duplex Long term evolution), TDD-LTE (Time Division Duplexing-Long Term Evolution, time Division Duplex Long term evolution), 5G, and the like.

WiFi belongs to a short-distance wireless transmission technology, and the intelligent terminal can help a user to send and receive emails, browse webpages, access streaming media and the like through the WiFi module 102, so that wireless broadband Internet access is provided for the user. Although fig. 1 shows a WiFi module 102, it is understood that it does not belong to the essential constitution of the intelligent terminal, and can be omitted entirely as required within the scope of 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 intelligent terminal 100 is in a call signal reception mode, a talk 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 (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the smart terminal 100. The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive an audio or video signal. The a/V input unit 104 may include a graphics processor (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 graphics 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 can receive sound (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, and the like, and can process such sound into audio data. The processed audio (voice) data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 101 in the case of a telephone 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 the audio signal.

The intelligent terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor and a proximity sensor, optionally, the ambient light sensor may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and the proximity sensor may turn off the display panel 1061 and/or the backlight when the smart terminal 100 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for applications of recognizing the gesture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; as for other sensors such as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured in the mobile phone, the detailed description thereof will be omitted.

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 (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 to generate key signal inputs related to user settings and function control of the intelligent terminal. Alternatively, 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 touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 1071 or thereabout by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the 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. Optionally, the touch detection device detects the touch azimuth of the 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 detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 110, and can receive and execute commands sent from the processor 110. Further, the touch panel 1071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 107 may include other input devices 1072 in addition to the touch panel 1071. Alternatively, 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, mouse, joystick, etc., as specifically not limited herein.

Alternatively, the touch panel 1071 may overlay the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or thereabout, the touch panel 1071 is transferred to the processor 110 to determine the type of touch event, and the processor 110 then provides a corresponding visual output on the display panel 1061 according to the type of touch event. Although in fig. 1, the touch panel 1071 and the display panel 1061 are two independent components for implementing the input and output functions of the smart terminal, in some embodiments, the touch panel 1071 may be integrated with the display panel 1061 to implement the input and output functions of the smart terminal, which is not limited herein.

The interface unit 108 serves as an interface through which at least one external device can be connected with the intelligent terminal 100. For example, the external devices may include a wired or wireless headset port, an external power (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 an external device and transmit the received input to one or more elements within the smart terminal 100 or may be used to transmit data between the smart terminal 100 and an external device.

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, and alternatively, the storage program area may store an operating system, an application program required for 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, phonebook, etc.) created according to the use of the handset, etc. In addition, 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 intelligent terminal, connects various parts of the entire intelligent terminal using various interfaces and lines, and performs various functions of the intelligent terminal and processes data by running 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 intelligent terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, the application processor optionally handling mainly an operating system, a user interface, an application program, etc., the modem processor handling mainly wireless communication. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The intelligent terminal 100 may further include a power source 111 (such as a battery) for supplying power to the respective components, and preferably, the power source 111 may be logically connected to the processor 110 through a power management system, so as to implement functions of managing charging, discharging, power consumption management, etc. through the power management system.

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

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the intelligent terminal of the present application is based will be described below.

Referring to fig. 2, fig. 2 is a schematic diagram of a communication network system according to an embodiment of the present application, where the communication network system is an LTE system of a general mobile communication 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, evolved packet core) 203, and an IP service 204 of an operator that are sequentially connected in communication.

Alternatively, the UE201 may be the terminal 100 described above, which is not described here again.

The E-UTRAN202 includes eNodeB2021 and other eNodeB2022, etc. Alternatively, the eNodeB2021 may connect with other enodebs 2022 over a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide access for the UE201 to the EPC 203.

EPC203 may include MME (Mobility MANAGEMENT ENTITY ) 2031, hss (Home Subscriber Server, home subscriber server) 2032, other MMEs 2033, SGW (SERVING GATE WAY ) 2034, pgw (PDN GATE WAY, packet data network gateway) 2035, PCRF (Policy AND CHARGING Rules Function) 2036, and so on. Optionally, MME2031 is a control node that handles signaling between UE201 and EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location registers (not shown) and to hold user specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034 and PGW2035 may provide IP address allocation and other functions for UE201, PCRF2036 is a policy and charging control policy decision point for traffic data flows and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

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

Although the LTE system is described above as an example, it should be understood by those skilled in the art that the present application is not limited to LTE systems, but may be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, 5G, and future new network systems (e.g., 6G), etc.

Based on the intelligent terminal hardware structure and the communication network system, various embodiments of the application are provided.

First embodiment

Referring to fig. 3, fig. 3 is a flowchart illustrating a control method according to a first embodiment of the present application. In this embodiment, the control method of the present application is applied to the above-mentioned intelligent terminal, and based on this, in this embodiment and other possible embodiments described below, the control method of the present application is described with the intelligent terminal as a scheme execution body.

In this embodiment, the control method of the present application includes:

S10: acquiring an image to be identified;

in this embodiment, in the shooting process, an image to be identified is acquired through an image capturing device configured by the intelligent terminal, and the image to be identified is acquired, optionally, the image to be identified is an image for gesture recognition, and the image capturing device includes a front camera and/or a rear camera, etc.

In this embodiment, it should be noted that, the user-defined gesture is a gesture set by a user, the number of the user-defined gestures may be at least one, and the shooting instruction is an instruction for implementing a shooting function, including a shooting instruction, a video recording instruction, a continuous shooting instruction, a delayed shooting instruction, and the like.

Optionally, the custom gesture may be determined by selecting from a preset gesture library based on a user operation, for example, the user may browse a gesture in the preset gesture library through a gesture setting interface, and select a gesture meeting the needs of the user as the custom gesture, where the gesture library is a set of gestures, and may be determined in advance according to actual needs, big data, actual test results and the like, which is not limited in this embodiment.

Optionally, the custom gesture may also be created based on a user operation, for example, the user may input a gesture image through a gesture setting interface, by taking a picture, or a video, and create and save the gesture image as the custom gesture.

Optionally, the user-defined gesture may be a gesture of a user for subsequent photographing, and the photographing instruction is a photographing instruction, so when a preset user-defined gesture is identified, the photographing instruction is executed, so that instant snapshot of the gesture of the user can be realized, the user does not need to keep the gesture to wait for photographing, and the user does not need to hurry to adjust the photographing gesture after making the gesture for triggering the photographing instruction.

Optionally, based on a space-apart gesture technology, a distance sensor technology, an image recognition technology, and/or the like, the image to be recognized and a preset custom gesture are subjected to matching recognition, whether the preset custom gesture exists in the image to be recognized is judged, and when the preset custom gesture is recognized from the image to be recognized, a shooting instruction corresponding to the custom gesture is executed.

In one implementation manner, the number of the custom gestures is a plurality, and the step S20 includes: when any one preset custom gesture is identified from the image to be identified, executing a shooting instruction corresponding to the custom gesture.

In an implementation manner, the image to be recognized may include 0, 1 or more gestures, that is, gesture recognition may be performed without gesture, the recognition result is that a preset user-defined gesture cannot be recognized, in the case of single shooting, the user-defined gesture may be a single-hand gesture or a double-hand gesture, in the case of multi-person shooting, the user-defined gesture may be a single-hand gesture, a multi-person gesture, and the like, so that a user may determine the user-defined gesture according to needs and convenience in a shooting process, without changing the gesture of shooting in order to match with the gesture, and the like, thereby effectively improving flexibility of shooting control and better matching user requirements.

In this embodiment, the control method may be applied to an intelligent terminal, including the steps of: acquiring an image to be identified; when a preset user-defined gesture is identified, executing a shooting instruction corresponding to the user-defined gesture. Through the technical scheme, the user can preset the custom gesture conforming to the shooting habit according to the self requirement, further shooting control can be carried out through the custom gesture in the shooting process without being limited by factors such as a shutter key, a shooting parameter adjusting key, an arm length and the like on the intelligent terminal, so that the final shooting effect is most likely to conform to the user expectation, and the custom gesture can be automatically decided and set by the user, so that the custom gesture is matched with the habit and requirement of the user, the technical problem of lower flexibility of a shooting control mode is solved, and further user experience is improved.

Second embodiment

Referring to fig. 4, fig. 4 is a flowchart illustrating a control method according to a second embodiment of the application. In this embodiment, before the step S20, the method further includes:

A10: acquiring a gesture setting image;

In this embodiment, it should be noted that, a gesture library may be preset and stored in the intelligent terminal, but a gesture in the gesture library is generally a standard image of each gesture, and a background or hand difference and other factors may cause a difference between a gesture made by a photographed user and a gesture in the gesture library, so that accuracy of gesture recognition in a photographing process is affected, so that a user-defined gesture with higher accuracy suitable for the user may be preset by performing recognition in advance in a process of setting the user-defined gesture, inconvenience that the user needs repeated debugging due to incapability in the photographing process is avoided, photographing efficiency and smoothness of a subsequent photographing process are improved, and user experience is improved.

Optionally, in the process of setting the custom image, acquiring a gesture setting image through an image capturing device of the intelligent terminal, and acquiring the gesture setting image acquired by the image capturing device, wherein optionally, the gesture setting image is an image for performing custom gesture setting, and the image capturing device comprises a camera and the like.

A20: identifying a gesture to be set in the gesture setting image;

In this embodiment, based on the space-apart gesture technique, the distance sensor technique, the image recognition technique, and/or the like, the gesture image is recognized from the gesture setting images, and if 0 gesture images are recognized from the gesture setting images, the execution step is returned: acquiring a gesture setting image; and if at least one gesture image is identified from the gesture setting images, determining the gesture image as a gesture to be set.

In an implementation manner, the gesture image may be further screened and filtered based on a preset filtering condition, and the gesture image meeting the preset filtering condition may be determined as the gesture to be set, where the filtering condition may be a size condition, a distance condition, a color condition, or the like, so as to improve accuracy of gesture recognition.

In this embodiment, it should be noted that, the target gesture is a gesture selected by a system default or a user in the preset gesture library, optionally, a schematic diagram of each gesture in the preset gesture library may be output and displayed through the user-defined gesture setting interface, so that the user may select the gesture, and when a selection operation is detected, the gesture corresponding to the selection operation is determined to be the target gesture.

Optionally, the gesture to be set is matched with a target gesture in a preset gesture library, whether each gesture to be set is matched with the target gesture is judged, if the gesture to be set is matched with the target gesture in the preset gesture library, the target gesture is determined to be a custom gesture, if the gesture to be set is not matched with the target gesture in the preset gesture library, it is indicated that the target gesture cannot be identified in the currently acquired gesture setting image, and the step a10 may be executed in a return manner: acquiring the gesture setting image, and after prompting the user to perform gesture adjustment, returning to execute step a10: and acquiring a gesture setting image, and stopping the user-defined gesture setting process.

Optionally, after the step a20, the method further includes:

Optionally, the gesture to be set is matched with a target gesture in a preset gesture library, whether each gesture to be set is matched with the target gesture is judged, if the gesture to be set is not matched with the target gesture in the preset gesture library, it is indicated that the target gesture cannot be recognized in the currently acquired gesture setting image, a first prompt message with low recognition accuracy can be output, and the execution step is returned: and acquiring a gesture setting image, wherein optionally, the first prompt information is used for prompting a user to adjust the gesture or clear the interference factors so as to improve the accuracy of gesture recognition.

Optionally, the step a40 includes:

a41: if the gesture to be set is matched with the target gesture in the preset gesture library, increasing the unmatched times by a preset value;

In this embodiment, the gesture to be set is matched with a target gesture in a preset gesture library, whether each gesture to be set is matched with the target gesture is determined, if the gesture to be set is not matched with the target gesture in the preset gesture library, the number of mismatching is increased by a preset value, the number of mismatching after the preset value is increased is compared with a preset number of mismatching threshold, whether the number of mismatching at the moment exceeds the preset number of mismatching threshold is determined, if the number of mismatching does not exceed the preset number of mismatching threshold, a first prompt message with low recognition accuracy is output, and the steps are executed: acquiring a gesture setting image; if the number of mismatching exceeds the preset threshold of mismatching number, the user may be prompted to replace the target gesture, and after detecting the gesture replacement operation, the step a10 is executed again: the gesture setting image is acquired, the user-defined gesture setting process can also be stopped, and optionally, the preset value can be 1 or other values.

Optionally, after the step a42, the method further includes:

Step A44: if yes, outputting second prompt information of the replacement gesture and/or a preset recommendation gesture;

step A45: when a change gesture operation is detected, a new target gesture is determined based on the change gesture operation, and the execution step is returned: and acquiring a gesture setting image.

In this embodiment, if the number of mismatches exceeds a preset number of mismatches threshold, outputting second prompt information of a replacement gesture and/or a preset recommended gesture, detecting a user operation, determining a new target gesture based on the replacement gesture operation when the replacement gesture operation is detected, and returning to the execution step: and acquiring a gesture setting image, wherein the second prompt information is used for prompting the user to reselect a target gesture from a preset gesture library to improve the accuracy of gesture recognition, the preset recommended gesture is one or more gestures which are confirmed and recommended to the user from the preset gesture library by the intelligent terminal based on the difficulty level, recognition accuracy and the like of the gesture, and the gesture replacement operation is the operation of reselecting the target gesture from the preset gesture library.

In one implementation manner, the replacing gesture operation may be a selection operation of a recommended gesture, that is, the user may select according to the recommended gesture displayed by the output, and the selected recommended gesture may be directly determined as the target gesture.

Optionally, before the step a44, the method further includes:

Step C10: acquiring recognition accuracy statistic values corresponding to gestures in a preset gesture library;

Step C20: and determining or generating a preset recommended gesture from a preset gesture library according to the recognition accuracy statistic value.

In this embodiment, it should be noted that, the statistic value of the recognition accuracy may be a mean value of the recognition accuracy, a median value of the recognition accuracy, a function value of the recognition accuracy, and the like, and may be determined according to big data, actual test and/or recognition accuracy detected in an actual application process, optionally, a statistic initial value of the recognition accuracy may be preset according to big data and/or an actual test result, and the like, in a gesture recognition process, a detected actual measurement value of the recognition accuracy is obtained, the statistic initial value of the recognition accuracy is adjusted according to the actual measurement value of the recognition accuracy, for example, the statistic initial value of the recognition accuracy of the gesture a is obtained by taking the statistic value of the recognition accuracy as an example, gesture a is recognized according to big data and/or an actual test result in advance, and the like, in an actual measurement value of the recognition accuracy corresponding to the gesture a is obtained in a practical application process, the average value of the statistic initial value of the recognition accuracy is calculated, the average value of the recognition accuracy corresponding to the gesture a is determined as the statistic initial value of the recognition accuracy, and then the statistic value of the recognition accuracy corresponding to the gesture a is detected, and the statistic initial value of the recognition accuracy corresponding to the gesture a is obtained by calculating the average value of the recognition accuracy corresponding to the current average value of the recognition accuracy and the statistic value of the gesture a is updated to the gesture a, and the statistic value is updated to have a new statistic value, which is more consistent with the user.

Optionally, the recognition accuracy statistics corresponding to the gestures in the preset gesture library stored in the intelligent terminal are obtained, the gestures in the preset gesture library are ordered according to the recognition accuracy statistics, the gestures with high recognition accuracy and preset quantity are determined to be preset recommended gestures, so that a user can determine the target gesture more quickly and accurately through the preset recommended gestures, the accuracy of gesture recognition is better ensured on the basis of meeting the user requirements, and the follow-up shooting process is more efficient and convenient.

Optionally, before the step a30, the method further includes:

In this embodiment, the gesture to be set is subjected to similarity matching with a target gesture in a preset gesture library, the similarity between the gesture to be set and the target gesture is determined, the similarity is used as recognition accuracy of the gesture to be set and the target gesture, the recognition accuracy is compared with a preset accuracy threshold, whether the recognition accuracy is higher than the preset accuracy threshold is determined, if the recognition accuracy is higher than the preset accuracy threshold, the gesture to be set is determined to be matched with the target gesture, and if the recognition accuracy is not higher than the preset accuracy threshold, the gesture to be set is determined to be not matched with the target gesture.

In this embodiment, through the selection and adjustment of the recognition matching and the custom gesture performed in advance in the process of setting the custom gesture, the custom gesture determined in this way is more suitable for the user and has higher accuracy, so that the inconvenience that the user needs to debug repeatedly due to the fact that the user cannot recognize or the recognition accuracy is lower in the shooting process can be avoided, the shooting efficiency and smoothness in the subsequent shooting process are improved, and the user experience is improved.

Third embodiment

Referring to fig. 5, fig. 5 is a flowchart illustrating a control method according to a third embodiment of the present application. In this embodiment, the step a30 includes:

A31: if the gesture to be set is matched with a target gesture in a preset gesture library, detecting a gesture distance of the gesture to be set;

In this embodiment, the gesture to be set is matched with a target gesture in a preset gesture library, and whether each gesture to be set is matched with the target gesture is determined, if the gesture to be set is matched with the target gesture in the preset gesture library, a gesture distance between the gesture to be set and the intelligent terminal is detected by a distance sensor of the intelligent terminal.

A32: determining a matching result corresponding to the gesture distance as matching;

optionally, comparing the gesture distance with a preset distance range, determining an actual distance range to which the gesture distance belongs, and determining a matching result corresponding to the actual distance range as matching, wherein optionally, the preset distance range can be divided and determined according to big data, an actual test result and the like.

A33: if the matching results corresponding to the preset distance ranges are all determined to be matched, determining the target gesture as a custom gesture;

optionally, whether the matching results corresponding to the preset distance ranges are all matching is judged, and if the matching results corresponding to the preset distance ranges are all matching, the target gesture is determined to be a custom gesture.

A34: if the fact that the target distance range with the matching result not being matched exists in the preset distance ranges is determined, outputting third prompt information for adjusting the identification distance according to the target distance range, and returning to the execution step: and acquiring a gesture setting image.

Optionally, if it is determined that a target distance range whose matching result is not matching exists in each preset distance range, outputting third prompting information for adjusting the recognition distance according to the target distance range, so as to prompt the user to make a target gesture in the target distance range from the intelligent terminal, and returning to the execution step: and acquiring a gesture setting image.

Optionally, after the step of outputting the third prompt information for adjusting the recognition distance according to the target distance range, if a skip operation is detected, the target gesture is determined to be a custom gesture. When the user performs recognition according to the distance required by the user, the user can automatically judge that the recognition accuracy of different distances is not needed, and the target gesture can be directly determined as the custom gesture by skipping the click operation of the button or the triggering operation of the skip instruction and the like without performing the accuracy recognition of the subsequent different distance ranges.

In the embodiment, through recognizing and matching gestures with different distances from the intelligent terminal, the user can be accurately recognized in the actual shooting process when the gestures are at different distances from the intelligent terminal, so that inconvenience that the user needs to debug repeatedly due to the fact that the gestures cannot be recognized or the recognition accuracy is low in the shooting process can be avoided, the shooting efficiency and smoothness of the follow-up shooting process are improved, and user experience is improved.

The application also provides an intelligent terminal, which comprises a memory and a processor, wherein the memory stores a control method program, and the control method program is executed by the processor to realize the steps of the control method in any embodiment.

The present application also provides a storage medium having stored thereon a control method program which, when executed by a processor, implements the steps of the control method of any of the embodiments described above.

The embodiments of the intelligent terminal and the computer readable storage medium provided by the application can include all technical features of any one of the embodiments of the shooting control method, and the expansion and explanation contents of the description are basically the same as those of each embodiment of the method, and are not repeated here.

Embodiments of the present application also provide a computer program product comprising computer program code which, when run on a computer, causes the computer to perform the method as in the various possible embodiments described above.

The embodiment of the application also provides a chip, which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for calling and running the computer program from the memory, so that the device provided with the chip executes the method in the various possible implementation manners.

It can be understood that the above scenario is merely an example, and does not constitute a limitation on the application scenario of the technical solution provided by the embodiment of the present application, and the technical solution of the present application may also be applied to other scenarios. For example, as one of ordinary skill in the art can know, with the evolution of the system architecture and the appearance of new service scenarios, the technical solution provided by the embodiment of the present application is also applicable to similar technical problems.

The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.

The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs.

In the present application, the same or similar term concept, technical solution and/or application scenario description will be generally described in detail only when first appearing and then repeatedly appearing, and for brevity, the description will not be repeated generally, and in understanding the present application technical solution and the like, reference may be made to the previous related detailed description thereof for the same or similar term concept, technical solution and/or application scenario description and the like which are not described in detail later.

In the present application, the descriptions of the embodiments are emphasized, and the details or descriptions of the other embodiments may be referred to.

The technical features of the technical scheme of the application can be arbitrarily combined, and all possible combinations of the technical features in the above embodiment are not described for the sake of brevity, however, as long as there is no contradiction between the combinations of the technical features, the application shall be considered as the scope of the description of the application.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to perform the method of each embodiment of the present application.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc., that contain an integration of one or more available media. Usable media may be magnetic media (e.g., floppy disks, storage disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state storage disk Solid STATE DISK (SSD)), etc.

The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims

1. A control method, characterized in that the method comprises the steps of:

S10: acquiring an image to be identified;

2. The method according to claim 1, further comprising, prior to step S20:

A10: acquiring a gesture setting image;

a20: identifying a gesture to be set in the gesture setting image;

3. The method according to claim 2, further comprising, after the step a 20:

4. A method according to claim 3, wherein step a40 comprises:

5. The method of claim 4, further comprising, after step a 42:

6. The method of claim 5, further comprising, prior to step a 44:

7. The method according to any one of claims 2 to 6, further comprising, prior to step a 30:

8. The method according to any one of claims 2 to 6, wherein the step a30 comprises:

9. An intelligent terminal, characterized in that, the intelligent terminal includes: a memory, a processor, wherein the memory has stored thereon a shooting control program which, when executed by the processor, implements the steps of the control method according to any one of claims 1 to 8.

10. A storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the control method according to any one of claims 1 to 8.