CN111083361A - Image acquisition method and electronic equipment - Google Patents

Image acquisition method and electronic equipment Download PDF

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Publication number
CN111083361A
CN111083361A CN201911269381.2A CN201911269381A CN111083361A CN 111083361 A CN111083361 A CN 111083361A CN 201911269381 A CN201911269381 A CN 201911269381A CN 111083361 A CN111083361 A CN 111083361A
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image
images
reference image
electronic device
preview
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CN201911269381.2A
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曾达彬
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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Priority to CN201911269381.2A priority Critical patent/CN111083361A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/64Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/695Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)

Abstract

The embodiment of the invention discloses an image acquisition method and electronic equipment, relates to the technical field of communication, and aims to solve the problem that a background-aligned vlog material cannot be obtained by shooting under the condition that the electronic equipment is not always fixed at one position in the traditional technology. The method comprises the following steps: acquiring a reference image; and acquiring at least two target images based on the reference image, wherein the at least two target images are images with background similarity greater than or equal to a first threshold value.

Description

Image acquisition method and electronic equipment
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to an image acquisition method and electronic equipment.
Background
With the continuous development of terminal technology, electronic devices are more and more widely applied. For example, video blog (vlog) material is photographed by an electronic device.
At present, when the electronic device needs to shoot the vlog material with only detail change and aligned background (same background) in the same scene, the electronic device needs to be fixed at a position to shoot. However, when a user does not have a fixed device and cannot always fix the electronic device in one position for shooting, it is difficult to shoot backdrop-aligned vlog material.
Thus, in the conventional technology, the background-aligned vlog material may not be shot without fixing the electronic device in one position all the time.
Disclosure of Invention
The embodiment of the invention provides an image acquisition method and electronic equipment, and aims to solve the problem that a background-aligned vlog material cannot be shot and obtained in the traditional technology under the condition that the electronic equipment is not fixed at one position all the time.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, an embodiment of the present invention provides an image obtaining method, which is applied to an electronic device, and the method includes: acquiring a reference image; and acquiring at least two target images based on the reference image, wherein the at least two target images are images with background similarity greater than or equal to a first threshold value.
In a second aspect, an embodiment of the present invention provides an electronic device, including: an acquisition module; the acquisition module is used for acquiring a reference image; and acquiring at least two target images based on the reference image, wherein the at least two target images are images with background similarity greater than or equal to a first threshold value.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored on the memory and operable on the processor, where the computer program, when executed by the processor, implements the steps of the image acquisition method according to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the image acquisition method as in the first aspect.
In the embodiment of the invention, the electronic device can obtain the reference image; based on the reference image, at least two target images are obtained, wherein the background similarity of the at least two target images is larger than or equal to a first threshold (namely background alignment). By the scheme, the electronic equipment can obtain at least two target images with background similarity larger than or equal to the first threshold value based on the reference image, so that at least two target images with aligned backgrounds can be obtained by shooting under the condition that the electronic equipment is not fixed at one position.
Drawings
Fig. 1 is a schematic diagram of an architecture of a possible android operating system according to an embodiment of the present invention;
FIG. 2 is a flowchart of an image acquisition method according to an embodiment of the present invention;
FIG. 3 is a second flowchart of an image capturing method according to an embodiment of the present invention;
FIG. 4 is a third flowchart of an image obtaining method according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a vlog material according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
fig. 7 is a hardware schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The term "and/or" herein is an association relationship describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The symbol "/" herein denotes a relationship in which the associated object is or, for example, a/B denotes a or B.
The terms "first," "second," "third," and "fourth," etc. in the description and in the claims of the present application are used for distinguishing between different objects and not for describing a particular order of the objects. For example, the first input, the second input, the third input, the fourth input, etc. are used to distinguish between different inputs, rather than to describe a particular order of inputs.
In the embodiments of the present invention, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the embodiments of the present invention, unless otherwise specified, "a plurality" means two or more, for example, a plurality of processing units means two or more processing units; plural elements means two or more elements, and the like.
The embodiment of the invention provides an image acquisition method, wherein electronic equipment can acquire a reference image; based on the reference image, at least two target images are obtained, wherein the background similarity of the at least two target images is larger than or equal to a first threshold (namely background alignment). By the scheme, the electronic equipment can obtain at least two target images with background similarity larger than or equal to the first threshold value based on the reference image, so that at least two target images with aligned backgrounds can be obtained by shooting under the condition that the electronic equipment is not fixed at one position.
The following describes a software environment to which the image acquisition method provided by the embodiment of the present invention is applied, by taking an android operating system as an example.
Fig. 1 is a schematic diagram of an architecture of a possible android operating system according to an embodiment of the present invention. In fig. 1, the architecture of the android operating system includes 4 layers, which are respectively: an application layer, an application framework layer, a system runtime layer, and a kernel layer (specifically, a Linux kernel layer).
The application program layer comprises various application programs (including system application programs and third-party application programs) in an android operating system.
The application framework layer is a framework of the application, and a developer can develop some applications based on the application framework layer under the condition of complying with the development principle of the framework of the application.
The system runtime layer includes libraries (also called system libraries) and android operating system runtime environments. The library mainly provides various resources required by the android operating system. The android operating system running environment is used for providing a software environment for the android operating system.
The kernel layer is an operating system layer of an android operating system and belongs to the bottommost layer of an android operating system software layer. The kernel layer provides kernel system services and hardware-related drivers for the android operating system based on the Linux kernel.
Taking an android operating system as an example, in the embodiment of the present invention, a developer may develop a software program for implementing the image acquisition method provided in the embodiment of the present invention based on the system architecture of the android operating system shown in fig. 1, so that the image acquisition method may operate based on the android operating system shown in fig. 1. Namely, the processor or the electronic device can implement the image acquisition method provided by the embodiment of the invention by running the software program in the android operating system.
The electronic device in the embodiment of the invention can be a mobile electronic device or a non-mobile electronic device. The mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), etc.; the non-mobile electronic device may be a Personal Computer (PC), a Television (TV), a teller machine, a self-service machine, or the like; the embodiments of the present invention are not particularly limited.
An execution subject of the image obtaining method provided in the embodiment of the present invention may be the electronic device (including a mobile electronic device and a non-mobile electronic device), or may also be a functional module and/or a functional entity capable of implementing the method in the electronic device, which may be determined specifically according to actual use requirements, and the embodiment of the present invention is not limited. The following takes an electronic device as an example to exemplarily describe the image acquisition method provided by the embodiment of the present invention.
Referring to fig. 2, an embodiment of the present invention provides an image acquisition method applied to an electronic device, and the method may include steps 201 to 202 described below.
Step 201, the electronic device acquires a reference image.
It is understood that the reference image is a reference image.
Optionally, the electronic device may obtain the reference image according to an input of a user, or may automatically obtain the reference image, which is not limited in the embodiment of the present invention.
Illustratively, the step 201 may be specifically realized by the following steps 201a to 201b or 201 c.
Step 201a, the electronic device receives a first input.
Step 201b, the electronic device captures the reference image in response to the first input.
Optionally, the first input is a click input or a slide input of a user at a shooting button, a shooting control, or the like, and may also be other inputs for shooting the reference image, which is not limited in the embodiment of the present invention.
For example, the click input may be any number of click inputs, such as a single click input, a double click input, a triple click input, and the like; the sliding input may be a sliding input in any direction, for example, an upward sliding input, a downward sliding input, a leftward sliding input, or a rightward sliding input, and the embodiment of the present invention is not limited thereto.
Illustratively, in a mode in which the electronic device displays a captured reference image, the electronic device receives a first input from a user and captures and saves the reference image in response to the first input.
In step 201c, the electronic device determines the reference image from the N images.
The reference image is an image determined according to a second input in the N images, or the reference image is an image with a background similarity greater than or equal to a second threshold with a first preview image displayed on the shooting preview interface in the N images, and N is a positive integer.
It will be appreciated that the electronic device determines the reference image from the saved images.
Alternatively, the N images may be images of the same scene, the second input may be an input that the user selects an image serving as the reference image from the N images, and the electronic device determines the reference image from the N images according to the second input.
Optionally, the N images may be images in different scenes, and then the user may select an image serving as a reference image from the N images (i.e., a second input), and the electronic device determines the reference image from the N images according to the selection input of the user; the electronic equipment can also identify an image with the background similarity greater than or equal to a second threshold value with the first preview image displayed in the current shooting preview interface from the N images as a reference image through an image identification technology.
It should be noted that, with the above-mentioned solution in which the electronic device automatically recognizes the reference image, after recognizing the reference image, the electronic device may display a prompt message to prompt the user whether to determine the image as the reference image.
Optionally, when the N images are images in different scenes, the N images may be reference images in the N scenes, that is, each image is a reference image in a different scene and is used to capture a vlog material in the different scenes.
Optionally, the electronic device may store the vlog material images obtained based on different reference images in different storage areas of the electronic device, and when the user views in the gallery of the electronic device, the different vlog material images may be displayed in a classified manner, that is, images belonging to the same vlog material are displayed in one display area.
It should be noted that, in the embodiment of the present invention, different shooting modes corresponding to the vlog material may be set, and when a user starts a camera application, the shooting mode of the corresponding vlog material may be entered according to an input of the user selecting the shooting mode, or the shooting mode of the vlog material corresponding to a preview image displayed on a current shooting preview interface may be automatically matched through an image recognition technology, so as to continue to shoot an image with a background aligned, which is required by the vlog material.
Illustratively, in the case that a plurality of reference images for shooting a plurality of vlog materials are stored in the electronic device, the user starts a camera application, the electronic device displays a plurality of identifiers, each identifier is used for indicating a shooting mode of one vlog material, and the user selects a required target identifier to enter the shooting mode of the corresponding vlog material, or the electronic device automatically identifies the shooting mode of the vlog material corresponding to a preview image displayed on a current shooting preview interface to enter the shooting mode of the corresponding vlog material. Each identifier may be a reference image (or a thumbnail of the reference image) of each vlog material, a scene name of each vlog material, or other feasible contents, and the embodiment of the present invention is not limited.
In the embodiment of the invention, a plurality of schemes for acquiring the reference image are provided, so that a user can conveniently acquire the reference image by adopting the corresponding scheme according to actual use requirements under different conditions.
Step 202, the electronic device acquires at least two target images based on the reference image.
The at least two target images are images with background similarity greater than or equal to a first threshold.
Optionally, the at least two images may include a reference image, may also include a reference image after the preset processing, and may also not include the reference image or the reference image after the preset processing, which is not limited in the embodiment of the present invention.
Note that the background refers to contents other than the subject (i.e., the photographic subject) in the image. In the embodiment of the invention, because the vlog material needs to be shot, the main body generally refers to the content with changes in the image, and the background generally refers to the content without changes in the image, including the content without changes in position and details in the image.
Illustratively, the background is a coastline in a seaside sunset scene, and the background is a plate in a dining scene.
In the embodiment of the present invention, the electronic device determines the background similarity, for example, the image recognition technology may determine the similarity of the positions of the same background content in the two images in the images, or may determine the background similarity of the two images by other feasible methods, which is not limited in the embodiment of the present invention. Any relevant technology may be referred to in the image recognition technology, and the embodiment of the present invention is not limited.
The value of the first threshold may be determined according to actual usage requirements, and the embodiment of the present invention is not limited, for example, the first threshold may be 96%.
The at least two target images are images with a background similarity greater than or equal to a first threshold, which may be understood that the background similarity between any two images of the at least two images is greater than or equal to the first threshold, or may be understood that the background similarity between each image of the at least two images and the same image is greater than or equal to the first threshold, and the embodiment of the present invention is not limited.
The embodiment of the invention provides an image acquisition method, and electronic equipment can acquire a reference image; based on the reference image, at least two target images are obtained, wherein the background similarity of the at least two target images is larger than or equal to a first threshold (namely background alignment). By the scheme, the electronic equipment can obtain at least two target images with background similarity larger than or equal to the first threshold value based on the reference image, so that at least two target images with aligned backgrounds can be obtained by shooting under the condition that the electronic equipment is not fixed at one position.
Optionally, the at least two target images include the reference image and the first image, and as shown in fig. 3 in conjunction with fig. 2, the step 202 may be specifically implemented by the following steps 202a to 202 c.
In step 202a, the electronic device extracts contour information of the contour of the reference image.
It will be appreciated that the subject (the changed content) in the image is usually located near the central region in the image, and therefore the outline of the image is the edge region of the image, i.e. the background in the edge region in the image. For example, in the embodiment of the present invention, information of an edge area of a preset width in an image may be extracted as contour information of a contour of the image. The preset width may be determined according to actual use requirements, and the embodiment of the present invention is not limited.
And step 202b, the electronic equipment displays the outline on a shooting preview interface based on the outline information.
Step 202c, the electronic device shoots the first image based on the second preview image when detecting that the second preview image displayed on the shooting preview interface is matched with the outline.
The user can adjust the position of the electronic equipment according to the outline displayed on the preview interface, so that the electronic equipment updates the preview image until the first image is shot based on the second preview image under the condition that the electronic equipment detects that the second preview image displayed on the preview interface is matched with the outline, and the reference image and the first image with aligned backgrounds are obtained.
In the embodiment of the present invention, the second preview image is matched with the contour, and it may be understood that the matching degree of the second preview image and the contour is greater than or equal to a fourth threshold, and the fourth threshold may be determined according to an actual use requirement, which is not limited in the embodiment of the present invention. The matching degree of the second preview image and the contour can be understood as the similarity of the boundary intersected between the second preview image and the contour.
The electronic device may also extract information of a part of the background area in the reference image, display the part of the background area on the shooting preview interface, and shoot a third image based on the fifth preview image when the electronic device detects that the fifth preview image matches with the part of the background area, where the third image and the reference image are the at least two target images.
It should be noted that, in the embodiment of the present invention, the electronic device may execute the above steps 202a to 202c in a loop to obtain more images aligned with the background of the reference image, so as to obtain a required vlog material; the electronic device may also store the profile information after step 202a, and when the user starts the camera application and needs to capture an image aligned with the background of the reference image, the electronic device may be triggered to call the profile information by input, and display the profile on a capture preview interface, so as to capture more images aligned with the background of the reference image, thereby obtaining the required vlog material.
In the embodiment of the invention, the electronic equipment extracts the contour information of the contour of the reference image and displays the contour on the shooting preview interface, and under the condition that the preview image is matched with the contour, the electronic equipment shoots the target image with the background similarity of the reference image being more than or equal to the first threshold, so that the shooting template is equivalently set, and the difficulty of shooting the target image can be reduced by shooting the target image according to the shooting template.
Optionally, with reference to fig. 2, as shown in fig. 4, the step 202 may be specifically implemented by the following steps 202d to 202 e.
Step 202d, the electronic device acquires M second images based on the reference image.
The M second images are images with the background similarity with the reference image being larger than or equal to a third threshold value, the third threshold value is smaller than the first threshold value, and M is a positive integer.
In the embodiment of the present invention, the third threshold may be determined according to actual usage requirements, and the embodiment of the present invention is not limited. For example, it may be 93%.
Step 202e, the electronic device performs preset processing on the reference image and the M second images to obtain the at least two target images.
The preset processing includes at least one of: cutting processing, enlarging processing and reducing processing.
In the embodiment of the invention, in order to ensure that the image is not distorted, the amplification treatment can be lossless amplification treatment, and the amplification treatment can comprise stretching treatment; the compression process may be a lossless compression process.
In the embodiment of the invention, the second image which basically meets the requirements can be shot firstly under the condition that a user cannot fix the electronic equipment, and then the at least two target images with aligned backgrounds are obtained by performing preset processing on the reference image and the M second images.
Optionally, the M second images may be images captured based on the reference image, or may also be images stored (captured in advance) in the electronic device, which is not limited in the embodiment of the present invention.
For example, the step 202d may be specifically realized by the step 202d1 or the step 202d2 described below.
In step 202d1, the electronic device determines the M second images from the P images based on the reference image.
P is an integer greater than or equal to M.
Optionally, when the N images in step 201c are images in the same scene, the P images may be the N images or may not be the N images, and the embodiment of the present invention is not limited thereto.
It is understood that the electronic device identifies, based on the reference image, M second images having a background similarity greater than or equal to a third threshold from the P images by an image identification technique. For a specific image recognition technique, reference may be made to any related technique, which is not described herein in detail.
It should be noted that the scheme is particularly suitable for scenes in which only scene light changes obviously and other contents are basically unchanged.
Illustratively, a set of vlog materials under a working scene of a user working at a desk from morning to evening need to be shot. In this scene, although the user is the subject of shooting, the user has substantially no change, and the change is mainly light in the scene, for example, light changes from red light in the morning, to white light at noon, to yellow light in the afternoon, and finally dark in the evening. Thus, a set of candidate image sets (i.e., P images) may be taken at substantially the same location at different times.
Because scenes of each image are basically consistent and positions of people (users) in the images are also basically consistent in the required vlog material, a reference image can be determined from the candidate image set according to input of the users, and then M second images with background similarity greater than or equal to a third threshold value with the reference image can be identified from the candidate image set through Artificial Intelligence (AI) identification technology based on the reference image. Because the position of the person in the image is basically unchanged, the person can be used as the background of the image, the position of the person in the image is identified, the image with the position of the person in the image similar to the position of the person in the reference image is determined as the M second images, and then the electronic equipment can save the reference image and the M second images in a storage area of the electronic equipment again to be used as a preliminary vlog material for further preset processing, so that the required vlog material is finally obtained.
It should be noted that the P images may be images synthesized according to images acquired by at least two cameras, so as to ensure that important information in the images is not seriously lost after the preset processing is performed.
In the embodiment of the invention, under a scene with little change, a user does not need to accurately move the electronic equipment to reach a fixed shooting position, a group of alternative image sets are shot randomly near the fixed shooting position, the M second images can be obtained from the alternative image sets, the required vlog material is finally obtained, and the effect of convenient and fast operation can be achieved.
In step 202d2, the electronic device captures the M second images based on the reference image.
Optionally, the user triggers the electronic device to arbitrarily capture an image by inputting, and determines, as the M second images, an image in which a background similarity with the reference image is greater than or equal to a third threshold value in the captured image.
Optionally, the step 202d2 may specifically be implemented by performing the following steps 301 to 303 in a loop, so as to obtain the M second images.
Step 301, the electronic device displays prompt information when detecting that the background similarity between the third preview image displayed on the shooting preview interface and the reference image is smaller than a third threshold.
Step 302, the electronic device updates the third preview image to the fourth preview image based on the prompt information.
Optionally, adjusting the camera of the electronic device includes: adjusting the position of the cameras and/or the number of cameras.
Optionally, the user may trigger the electronic device to adjust the camera according to the prompt information through a third input (an input for adjusting the position of the camera of the electronic device, or an input for adjusting the position of the camera of the electronic device and/or the number of cameras) (in this case, the electronic device receives the third input based on the prompt information, and updates the third preview image to the fourth preview image in response to the third input), or the electronic device may automatically adjust the camera according to the prompt information (in this case, the electronic device adjusts the camera based on the prompt information and updates the third preview image to the fourth preview image).
For example, the prompt may be used to prompt the user how to move the electronic device, e.g., move the electronic device forward, move the electronic device left, etc., to change the position of the camera; if the camera is a telescopic lens, the prompt information can also be used for prompting to change the distance of the camera extending out of the electronic equipment so as to change the position of the camera; if the electronic equipment comprises a plurality of cameras facing to the same scene, the prompt information can be used for prompting that more cameras shoot a second image; the prompt message may also be used to prompt other content (for example, the prompt message may be used to prompt at least one of the above items), and the embodiments of the present invention are not limited thereto. It should be noted that, for the latter two kinds of prompt information, the prompt information may prompt the user to execute the corresponding operation, or prompt the user that the electronic device is to execute the corresponding operation.
Optionally, the fourth preview image is an image synthesized from images acquired by at least two cameras.
Illustratively, when it is detected that the cameras are changed from one camera to three cameras, the third preview image is an image captured by one camera, and the fourth preview image is an image synthesized from the images captured by three cameras, the fourth preview image has a larger scene and contains more information in the reference image than the third preview image.
And step 303, shooting a second image based on the fourth preview image when detecting that the background similarity between the fourth preview image and the reference image is greater than or equal to a third threshold value.
It is understood that the electronic device performs the above steps 301 to 303 cyclically, and M second images can be obtained.
In the embodiment of the present invention, the backgrounds of the M second images captured in steps 301 to 303 are more similar to the reference image, and based on the M second images obtained by the capturing, a better vlog material can be obtained.
Illustratively, a camera application is launched and a background-aligned vlog material capture mode is entered. If the initial entry of the vlog material shooting mode is, a reference image is acquired first. Alternatively, the electronic device prompts the user whether to take the reference image, and if the user selects "yes", an image taken next in response to the user input is determined as the reference image. Optionally, the electronic device may prompt the user whether to set the first image as the reference image after capturing the first image in response to the user input, determine the first image as the reference image if the user selects "yes", and continue capturing the next image in response to the user input until the reference image is determined if the user selects "no". The electronic device can identify the main body and the background in the reference image through the AI technology so as to determine the similarity between the newly captured image (or the preview image) and the background of the reference image. The electronic device may first determine the subject in the reference image and then determine the outside of the subject as the background. The method of determining the subject may be: the electronic device may determine a person located at a center position of the reference image as the subject if the reference image is the person image, and may determine a determination that the weight of the object at the center position is the greatest as the subject if the reference image is the subject image; alternatively, the electronic device may display a Region of Interest (ROI) box on the reference image and prompt the user to select a subject, and then determine the subject according to the user's selection.
After the reference image is confirmed, the electronic device may continue to capture images according to the user input. In the first case, the electronic device continues to shoot the image, and if the background similarity between the shot image and the reference image is greater than or equal to a third threshold, the image is stored in a storage area of the electronic device and serves as a preliminary vlog material for further preset processing, so that the required vlog material is finally obtained. In the second case, the electronic device obtains the background similarity between the preview image displayed on the shooting preview interface and the reference image, if the background similarity is smaller than a third threshold, the electronic device displays prompt information to prompt the user to move the electronic device (to change the position of the camera) or change the length of the camera extending out of the electronic device or change the number of the cameras, or prompt the user to automatically adjust the position or the number of the cameras to obtain a preview image with higher background similarity, and when the background similarity between the updated preview image and the reference image is detected to be greater than or equal to the third threshold, the user is prompted to shoot the image (or the image can be automatically shot, that is, the second image is obtained). And storing the image in a storage area of the electronic equipment as a primary vlog material for further preset processing to finally obtain the required vlog material.
The scheme of changing the number of the cameras can be realized by combining the electronic equipment with the telescopic screen. For example, the electronic equipment with the telescopic screen comprises a main screen and two half screens which can stretch left and right, and cameras are arranged on the three screens. The electronic device may capture a reference image by a camera of a main screen (hereinafter referred to as a main screen), then control the left and right half screens to extend and retract different distances to achieve different viewing angle ranges when the background similarity between a preview image obtained by the main screen and the reference image is smaller than a third threshold, and perform synthesis processing on images obtained by the three cameras to obtain an image (a second image) with the background similarity to the reference image larger than the third threshold.
The preliminary vlog material obtained in the first case may be lost due to missing pictures after a preset process (e.g., a cropping process). The preliminary vlog material obtained in the second case (the image is usually captured to have a size larger than the reference image and to contain more information than the reference image) can be guaranteed to have the same size and information as the reference image after the preset processing (for example, cropping processing).
In the embodiment of the invention, various schemes for acquiring M second images based on the reference image are provided, and a user can adopt different schemes according to actual use requirements to obtain the required M second images.
For example, as shown in fig. 5 (a) - (c), a group of photographs taken in the normal shooting mode may have a background not aligned and a main body (tray) shifted during shooting and cannot be used as a video material; fig. 5 (d) - (f) show a group of photographs taken in the context-aligned vlog material photographing mode, in which the contexts are aligned during photographing and the main body is located at the center, which can be used as video material. Among them, broken lines in (a) to (f) in fig. 5 are alignment reference lines.
In the embodiment of the invention, a mode of shooting the vlog material is provided for a common user, the cost of shooting the material can be simplified, and the user can not stay in the original shooting place for a long time under a scene with long time span (such as a scene with long time span and single change, such as sunset and the like).
The drawings in the embodiments of the present invention are all exemplified by the drawings in the independent embodiments, and when the embodiments of the present invention are specifically implemented, each of the drawings can also be implemented by combining any other drawings which can be combined, and the embodiments of the present invention are not limited.
As shown in fig. 6, an embodiment of the present invention provides an electronic device 120, where the electronic device 120 includes: an acquisition module 121; the acquiring module 121 is configured to acquire a reference image; and acquiring at least two target images based on the reference image, wherein the at least two target images are images with background similarity greater than or equal to a first threshold value.
Optionally, the obtaining module 121 is specifically configured to receive a first input; capturing the reference image in response to a first input; or, the reference image is determined from N images, wherein the reference image is the image determined according to the second input in the N images, or the reference image is the image with the background similarity greater than or equal to a second threshold value with the first preview image displayed on the shooting preview interface in the N images, and N is a positive integer.
Optionally, the at least two target images include the reference image and the first image; the obtaining module 121 is specifically configured to extract contour information of the contour of the reference image; displaying the outline on a shooting preview interface based on the outline information; and in the case that the second preview image displayed by the shooting preview interface is detected to be matched with the outline, shooting the first image based on the second preview image.
Optionally, the obtaining module 121 is specifically configured to obtain M second images based on the reference image, where the M second images are images whose background similarity with the reference image is greater than or equal to a third threshold, the third threshold is smaller than the first threshold, and M is a positive integer; performing preset processing on the reference image and the M second images to obtain the at least two target images, wherein the preset processing includes at least one of the following items: cutting processing, enlarging processing and reducing processing.
Optionally, the obtaining module 121 is specifically configured to determine, based on the reference image, the M second images from P images, where P is an integer greater than or equal to M; alternatively, the M second images are captured based on the reference image.
Optionally, the obtaining module 121 is specifically configured to execute the following steps in a loop to obtain the M second images: displaying prompt information under the condition that the similarity of a third preview image displayed on the shooting preview interface and the background of the reference image is detected to be smaller than a third threshold value; updating the third preview image to a fourth preview image based on the prompt information; and shooting a second image based on the fourth preview image when detecting that the background similarity between the fourth preview image and the reference image is larger than or equal to a third threshold value.
Optionally, the fourth preview image is an image synthesized from images acquired by at least two cameras.
The electronic device provided in the embodiment of the present invention is capable of implementing each process shown in any one of fig. 2 to fig. 5 in the above method embodiments, and details are not described here again to avoid repetition.
The embodiment of the invention provides electronic equipment, which can acquire a reference image; based on the reference image, at least two target images are obtained, wherein the background similarity of the at least two target images is larger than or equal to a first threshold (namely background alignment). By the scheme, the electronic equipment can obtain at least two target images with background similarity larger than or equal to the first threshold value based on the reference image, so that at least two target images with aligned backgrounds can be obtained by shooting under the condition that the electronic equipment is not fixed at one position.
Fig. 7 is a schematic diagram of a hardware structure of an electronic device implementing various embodiments of the present application. As shown in fig. 7, the electronic device 100 includes, but is not limited to: radio frequency unit 101, network module 102, audio output unit 103, 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 electronic device configuration shown in fig. 7 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted electronic device, a wearable device, a pedometer, and the like.
The processor 110 is configured to obtain a reference image; based on the reference image, at least two target images are obtained, wherein the background similarity of the at least two target images is larger than or equal to a first threshold (namely background alignment).
According to the electronic equipment provided by the embodiment of the invention, the electronic equipment can acquire the reference image; based on the reference image, at least two target images are obtained, wherein the background similarity of the at least two target images is larger than or equal to a first threshold (namely background alignment). By the scheme, the electronic equipment can obtain at least two target images with background similarity larger than or equal to the first threshold value based on the reference image, so that at least two target images with aligned backgrounds can be obtained by shooting under the condition that the electronic equipment is not fixed at one position.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 101 may be used for receiving and sending signals during a message transmission or call process, and specifically, after receiving downlink data from a base station, the downlink data is processed by 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 a wireless communication system.
The electronic device provides wireless broadband internet access to the user via the network module 102, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the network module 102 or stored in the memory 109 into an audio signal and output as sound. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the electronic apparatus 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 includes a speaker, a buzzer, a receiver, and the like.
The input unit 104 is used to receive an audio or video signal. The input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, and the Graphics processor 1041 processes image data of a still picture 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 network module 102. The microphone 1042 may receive sound and may be capable of processing such sound into audio data. The processed audio 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 electronic device 100 also includes at least one sensor 105, such as a light sensor, 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 the backlight when the electronic device 100 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 105 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
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 electronic device. Specifically, the user input unit 107 includes a touch panel 1071 and other input devices 1072. Touch panel 1071, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 1071 (e.g., operations by a user on or near touch panel 1071 using a finger, stylus, or any suitable object or attachment). 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 receives and executes 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. Specifically, other input devices 1072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 1071 may be overlaid on 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 in fig. 7, the touch panel 1071 and the display panel 1061 are two independent components to implement the input and output functions of the electronic device, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the electronic device, and is not limited herein.
The interface unit 108 is an interface for connecting an external device to the electronic apparatus 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 an external device and transmit the received input to one or more elements within the electronic apparatus 100 or may be used to transmit data between the electronic apparatus 100 and the external device.
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 electronic device, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device 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 electronic device. Processor 110 may include one or more processing units; alternatively, 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 electronic device 100 may further include a power supply 111 (e.g., a battery) for supplying power to each component, and optionally, the power supply 111 may be logically connected to the processor 110 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.
In addition, the electronic device 100 includes some functional modules that are not shown, and are not described in detail herein.
Optionally, an embodiment of the present invention further provides an electronic device, which may include the processor 110 shown in fig. 7, the memory 109, and a computer program stored on the memory 109 and capable of being executed on the processor 110, where the computer program, when executed by the processor 110, implements each process of the image acquisition method shown in any one of fig. 2 to fig. 5 in the foregoing method embodiments, and can achieve the same technical effect, and details are not described here to avoid repetition.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the image obtaining method shown in any one of fig. 2 to 5 in the foregoing method embodiments, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
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.
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 application 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 an electronic device (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 application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (16)

1. An image acquisition method applied to electronic equipment is characterized by comprising the following steps:
acquiring a reference image;
and acquiring at least two target images based on the reference image, wherein the at least two target images are images with background similarity greater than or equal to a first threshold value.
2. The method of claim 1, wherein said acquiring a reference image comprises:
receiving a first input; capturing the reference image in response to the first input;
alternatively, the first and second electrodes may be,
and determining the reference image from N images, wherein the reference image is the image determined according to a second input in the N images, or the reference image is the image with the background similarity, which is greater than or equal to a second threshold, of the N images and the first preview image displayed on the shooting preview interface, and N is a positive integer.
3. The method according to claim 1 or 2, wherein the at least two target images comprise the reference image and a first image; the acquiring at least two target images based on the reference image includes:
extracting contour information of a contour of the reference image;
displaying the outline on a shooting preview interface based on the outline information;
and shooting the first image based on the second preview image when the second preview image displayed by the shooting preview interface is detected to be matched with the outline.
4. The method according to claim 1 or 2, wherein said acquiring at least two target images based on said reference image comprises:
acquiring M second images based on the reference image, wherein the background similarity between the M second images and the reference image is greater than or equal to a third threshold value, the third threshold value is smaller than the first threshold value, and M is a positive integer;
performing preset processing on the reference image and the M second images to obtain at least two target images, wherein the preset processing comprises at least one of the following steps: cutting processing, enlarging processing and reducing processing.
5. The method according to claim 4, wherein said acquiring M second images based on said reference image comprises:
determining the M second images from P images based on the reference image, wherein P is an integer greater than or equal to M;
alternatively, the first and second electrodes may be,
and shooting the M second images based on the reference image.
6. The method according to claim 5, wherein said capturing said M second images based on said reference image comprises:
circularly executing the following steps to obtain the M second images:
displaying prompt information under the condition that the similarity of a third preview image displayed on a shooting preview interface and the background of the reference image is smaller than a third threshold value;
updating the third preview image to a fourth preview image based on the prompt message;
and shooting a second image based on the fourth preview image when detecting that the background similarity between the fourth preview image and the reference image is greater than or equal to the third threshold.
7. The method of claim 6, wherein the fourth preview image is an image synthesized from images acquired by at least two cameras.
8. An electronic device, characterized in that the electronic device comprises: an acquisition module;
the acquisition module is used for acquiring a reference image; and acquiring at least two target images based on the reference image, wherein the at least two target images are images with background similarity greater than or equal to a first threshold value.
9. The electronic device of claim 8, wherein the obtaining module is specifically configured to receive a first input; capturing the reference image in response to the first input; or determining the reference image from N images, wherein the reference image is the image determined according to the second input in the N images, or the reference image is the image with the background similarity, which is greater than or equal to the second threshold, of the N images and the first preview image displayed on the shooting preview interface, and N is a positive integer.
10. The electronic device according to claim 8 or 9, wherein the at least two target images include the reference image and a first image; the acquisition module is specifically used for extracting contour information of the contour of the reference image; displaying the outline on a shooting preview interface based on the outline information; and shooting the first image based on the second preview image when the second preview image displayed by the shooting preview interface is detected to be matched with the outline.
11. The electronic device according to claim 8 or 9, wherein the obtaining module is specifically configured to obtain M second images based on the reference image, where the M second images are images whose background similarity to the reference image is greater than or equal to a third threshold, the third threshold is smaller than the first threshold, and M is a positive integer; performing preset processing on the reference image and the M second images to obtain at least two target images, wherein the preset processing comprises at least one of the following steps: cutting processing, enlarging processing and reducing processing.
12. The electronic device according to claim 11, wherein the obtaining module is specifically configured to determine the M second images from P images based on the reference image, P being an integer greater than or equal to M; or, based on the reference image, the M second images are captured.
13. The electronic device of claim 12, wherein the obtaining module is specifically configured to perform the following steps in a loop to obtain the M second images: displaying prompt information under the condition that the similarity of a third preview image displayed on a shooting preview interface and the background of the reference image is smaller than a third threshold value; updating the third preview image to a fourth preview image based on the prompt message; and shooting a second image based on the fourth preview image when detecting that the background similarity between the fourth preview image and the reference image is greater than or equal to the third threshold.
14. The electronic device of claim 13, wherein the fourth preview image is an image synthesized from images captured by at least two cameras.
15. An electronic device, comprising a processor, a memory 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 image acquisition method according to any one of claims 1 to 7.
16. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the image acquisition method according to any one of claims 1 to 7.
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Application publication date: 20200428