CN113315910A - Shooting method, shooting device, computer equipment and storage medium - Google Patents
Shooting method, shooting device, computer equipment and storage medium Download PDFInfo
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- CN113315910A CN113315910A CN202110548495.1A CN202110548495A CN113315910A CN 113315910 A CN113315910 A CN 113315910A CN 202110548495 A CN202110548495 A CN 202110548495A CN 113315910 A CN113315910 A CN 113315910A
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- 238000013135 deep learning Methods 0.000 claims description 18
- 238000001514 detection method Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 17
- 238000007405 data analysis Methods 0.000 claims description 17
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
Abstract
The application relates to the technical field of shooting, and provides a shooting method, a shooting device, computer equipment and a storage medium. The method comprises the following steps: when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information; determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base; if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode; the camera shooting method and the camera shooting device have the advantages that the corresponding shooting mode can be started according to current scene information, the defect that the shooting mode is fixed when a camera in the prior art is started is overcome, user requirements can be better adapted, and user experience is improved.
Description
Technical Field
The present application relates to the field of shooting technologies, and in particular, to a shooting method, an apparatus, a computer device, and a storage medium.
Background
With the development of electronic technology, electronic devices such as mobile phones and the like are more and more widely applied in daily life of people. In order to meet the requirements of people for photographing and shooting, electronic equipment generally has a camera function. The camera can provide various shooting modes, generally can be divided into a front camera mode and a rear camera mode according to the shooting camera, and the front camera mode and the rear camera mode can be further divided into a photo mode, a portrait mode, a panorama mode, a video mode, a delay mode and the like.
In the prior art, when people need to use a camera function to shoot, a fixed general mode is defaulted when a camera is started, for example, a photo mode in a default rear camera mode, when people need to use a front camera mode to shoot, a camera conversion control needs to be clicked, the started rear camera is closed, the front camera is opened, then a screen is slid, a target shooting mode is selected, logical actions of a user are increased, and the use experience of shooting of the user is reduced.
Disclosure of Invention
In view of the above problems, embodiments of the present application are proposed to provide a photographing method, apparatus, electronic device, and storage medium that overcome or at least partially solve the above problems.
In order to solve the above problem, an embodiment of the present application discloses a shooting method, including an electronic device with a camera, the method including:
when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information;
determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base;
and if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode.
In one embodiment, the method further comprises:
acquiring historical shooting information of the electronic equipment in a specified time period, wherein the historical shooting information comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, wherein the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
In an embodiment, the performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base includes:
classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value are used as a historical shooting mode set corresponding to the first scene information set;
and storing the scene information corresponding to the historical shooting mode set and the first field information set in the preset scene information base in a correlated manner.
In one embodiment, the storing the scene information corresponding to the historical shooting mode set and the first field information set in association with each other in the preset scene information base further includes:
determining the priority of each historical shooting mode and the first scene information set according to the number corresponding to each historical shooting mode in the historical shooting mode set; wherein, the larger the number is, the higher the corresponding priority is;
and storing the scene information and priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode set is located into the preset scene information base.
In one embodiment, the determining the shooting mode corresponding to the target scene information as a current shooting mode and starting the current shooting mode includes:
determining the shooting mode with the highest priority corresponding to the target scene information as a current shooting mode, and starting the current shooting mode;
receiving switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
In an embodiment, the performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base includes:
classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
counting the number of the historical shooting modes in each second scene information set aiming at each second scene information set;
and associating and storing the history shooting mode with the maximum number in the second scene information set with the scene information corresponding to the second scene information set into the preset scene information base.
In one embodiment, the historical photographing information corresponds to a time node, and the method further includes:
taking a time node corresponding to any one of the historical shooting information as a detection point, and acquiring the historical shooting information behind the detection point to form a historical shooting information set;
classifying each piece of historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets; (ii) a
Counting the number of the historical shooting modes in each third scene information set aiming at each third scene information set;
and updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold and the scene information corresponding to the third scene information set.
The embodiment of the application provides a shooting device, is applied to the electronic equipment who contains the camera, the device includes:
the information acquisition module is used for acquiring current scene information when a camera starting instruction is detected, wherein the current scene information comprises current time information and/or current place information;
the information determining module is used for determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base;
and the mode determining module is used for determining the shooting mode corresponding to the target scene information as the current shooting mode and starting the current shooting mode if the shooting mode corresponding to the target scene information is the current shooting mode.
In one embodiment, the apparatus further comprises:
the historical information acquisition module is used for acquiring historical shooting information of the electronic equipment in a specified time period, and the historical shooting information comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and the information base generation module is used for carrying out data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, and the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
In one embodiment, the information base generation module includes:
the first classification module is used for classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
the first statistical module is used for counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
and the first storage module is used for taking one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value as a historical shooting mode set corresponding to the first scene information set, and storing the historical shooting mode set and the scene information corresponding to the first field information set into the preset scene information base in an associated manner.
In one embodiment, the first storage module further includes:
a priority determining module, configured to determine, according to a number corresponding to each historical shooting mode in the historical shooting mode set, a priority of each historical shooting mode and the first scene information set; wherein, the larger the number is, the higher the corresponding priority is;
and the priority storage module is used for storing the scene information and the priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode is positioned into the preset scene information base.
In one embodiment, the mode determination module includes:
the first determining module is used for determining the shooting mode with the highest priority corresponding to the target scene information as the current shooting mode and starting the current shooting mode;
and the replacement determining module is used for receiving the switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
In one embodiment, the information base generation module includes:
the second classification module is used for classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
the second counting module is used for counting the number of the historical shooting modes in each second scene information set aiming at each second scene information set;
and the second storage module is used for associating the historical shooting mode with the largest quantity in the second scene information set with the scene information corresponding to the second scene information set and storing the scene information into the preset scene information base.
In one embodiment, the historical photographing information corresponds to a time node, and the apparatus further includes:
the set acquisition module is used for acquiring historical shooting information behind a detection point by taking a time node corresponding to any one of the historical shooting information as the detection point to form a historical shooting information set;
the collection classification module is used for classifying the historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets;
the set counting module is used for counting the number of the historical shooting modes in each third scene information set aiming at each third scene information set;
and the updating module is used for updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold and the scene information corresponding to the third scene information set.
The embodiment of the application provides computer equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the steps of the shooting method provided by any embodiment of the application.
The embodiment of the application provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to realize the steps of the shooting method provided by any embodiment of the application.
Compared with the background art, the embodiment of the application has the following advantages:
in the embodiment of the application, when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information; determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base; if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode; the camera shooting method and the camera shooting device have the advantages that the corresponding shooting mode can be started according to current scene information, the defect that the shooting mode is fixed when a camera in the prior art is started is overcome, user requirements can be better adapted, and user experience is improved.
Drawings
FIG. 1 is a flow chart illustrating steps of a photographing method according to an embodiment;
FIG. 2 is a block diagram of an embodiment of a shadow camera;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. 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.
In one embodiment, as shown in fig. 1, a shooting method is provided, which is applied to an electronic device including a camera to automatically determine a shooting mode when the electronic device shoots. The method may be performed by a camera, which may be implemented in software and/or hardware, which may be integrated on an electronic device with a camera function, such as a physical device of the type of a smart phone, a tablet computer, a laptop computer, a digital assistant, etc.
In this embodiment, the method may specifically include the following steps:
The electronic device with the shooting function is provided with a camera which can comprise a front camera and a rear camera. The user can utilize the camera of electronic equipment to realize shooing and video recording. In addition, in the specific shooting process, the user can further select a shooting mode, different shooting modes have different shooting characteristics, the shooting effect in the specific shooting mode is more in line with the expectation of the user, and the shooting modes comprise a portrait mode, a photo mode, a video mode and the like.
In this embodiment, when a camera start instruction is detected, for example, when it is detected that a user triggers a control of a camera application, current scene information is acquired, where the current scene information includes current time information and/or current location information. The current time information may refer to time when the camera is triggered to start, and the current location information may refer to location coordinates of a current location of the electronic device.
And step 102, determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base.
And 103, if yes, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode.
The preset scene information base is obtained by analyzing historical shooting information of the electronic equipment, a plurality of pieces of scene information and shooting modes corresponding to the pieces of scene information are stored in the preset scene information base, and the shooting mode corresponding to each piece of scene information is used for representing the preference condition of a user for using the camera mode under the scene information. When target scene information matched with the current scene information exists in the preset scene information base, the fact that a user has certain preference in using the camera under the current scene information is shown, namely, the user has certain rules in using the camera under the current scene information. Therefore, the shooting mode corresponding to the target scene information is determined as the current shooting mode, and the current shooting mode is started so as to better accord with the shooting mode which is expected to be started by a user, so that the operation of selecting the shooting mode by the user is reduced, the shooting efficiency of the camera is improved, and the user experience is enhanced.
Exemplarily, when the scene information is time information, a plurality of time periods and shooting modes corresponding to the time periods are stored in the preset scene information base; for example, the preset scene information base may store beijing time 9: 00-10: 00, assuming that the shooting mode corresponding to the time information in the preset scene information base is the front-facing camera video mode, it can be considered that the user is in beijing time 9: 00-10: the use of the camera of the electronic device during 00 is preferred over the use of the front camera video mode.
Exemplarily, when the scene information is location information, a plurality of location coordinates and shooting modes corresponding to the location coordinates are stored in the preset scene information base; for example, the preset scene information base may store location information of location coordinates of a location where a user company is located, and assuming that a shooting mode corresponding to the location information in the preset scene information base is a post-camera portrait mode, it may be considered that when a user uses a camera of the electronic device during the company, the post-camera portrait mode is preferred.
Illustratively, when the scene information is time information and location information, the preset scene information base stores a plurality of time information and location information, and shooting modes corresponding to the time information and the location information. For example, the preset scene information base may store beijing time 10: 00-12: 00, and when it is assumed that the shooting mode corresponding to the time information and the location information in the preset scene information base is the rear camera panorama mode, it may be considered that the user is in beijing time 10: 00-12: 00 and when the company uses the camera of the electronic device, it is preferable to use the rear camera panorama mode.
In one embodiment, the method further comprises generating a preset scene information base; the method specifically comprises the following steps:
acquiring historical shooting information of the electronic equipment in a specified time period, wherein the historical shooting information comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, wherein the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
The specified time period may be a time period from the first use of the camera to the current use period, or may be a preset time period, for example, the specified time period may be a month in the near future, or a half year in the near future, and so on.
Generally, each time a user uses a photographing function of an electronic device, a photographing mode at the time of photographing and scene information (time point and/or place) may be recorded, and the record may be stored in a database. And analyzing the records stored in the database by a deep learning method, counting the preference degree of the user to the shooting mode under each scene information, and then storing each counted scene information and the corresponding shooting mode into a preset scene information base.
In an embodiment, the process of performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base specifically includes:
classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
and taking one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value as a historical shooting mode set corresponding to the first scene information set, and storing the historical shooting mode set and the scene information corresponding to the first field information set into the preset scene information base in an associated manner.
In this embodiment, by counting features of historical scene information, scene information used for classification may be determined, and historical shooting information is classified according to the scene information to obtain a first scene information set, then the number of each type of shooting mode included in each scene information set is counted, each type of shooting mode is screened by a preset number threshold, generally, it is considered that a shooting mode smaller than the preset number threshold is not representative, the shooting mode may be eliminated, and a shooting mode reaching the preset number threshold and scene information corresponding to the located first scene information set are stored in a preset scene information base in an associated manner.
Further, the associating and storing the scene information corresponding to the historical shooting mode set and the first field information set into the preset scene information base further includes:
determining the priority of each historical shooting mode and the first scene information set according to the number corresponding to each historical shooting mode in the historical shooting mode set; wherein, the larger the number is, the higher the corresponding priority is;
and storing the scene information and priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode set is located into the preset scene information base.
In this embodiment, after the shooting modes with the number reaching the preset number threshold are screened out, the priority associated with the corresponding scene information is further determined according to the number, wherein the larger the number is, the higher the corresponding priority is, and finally, the scene information corresponding to the first scene information set and the priority corresponding to the screened out shooting mode set are associated and stored in the preset scene information library.
For ease of understanding, the following description will exemplarily be given by taking the scene information as time information. Since each piece of historical photographing information stored in the database includes corresponding time information and a historical photographing mode, the time information may be recorded in a period of days or a period of weeks.
For example, when M pieces of historical photographing information are stored in the database, after the M pieces of historical photographing information are analyzed, the M pieces of historical photographing information may be classified according to scene information, so as to obtain three first scene information sets: the three first scene information sets respectively correspond to scene information of 8: 00-10: 00. 12: 00-13: 30. 20: 00-21: 00. wherein, correspond to 8: 00-10: 00 scene information (including i pieces of historical scene information), corresponding to 12: 00-13: a first scene information set of 30 scene information (containing j historical scene information), and a corresponding 20: 00-21: a first scene information set of 00 scene information (comprising k pieces of historical scene information), and i + j + k is less than or equal to M.
The number of the history shooting modes in each first scene information set is respectively counted, specifically, to correspond to 8: 00-10: a first scene information set of 00 scene information is taken as an example, the shooting modes in the first scene information set comprise a first shooting modes, b second shooting modes and c third shooting modes, wherein a is larger than b and larger than c, and c is larger than a preset time threshold; the first shooting mode and the second shooting mode and the third shooting mode respectively refer to different shooting modes. It can be considered that, 8: 00-10: the shooting mode with the highest priority associated with the first scene information set corresponding to the 00 scene information is the first shooting mode, then the second shooting mode, and finally the third shooting mode, and finally 8: 00-10: and the 00 scene information, the first shooting mode, the second shooting mode and the third shooting mode are stored in a preset scene information base in a priority association mode. The same may be true for the corresponding 12: 00-13: 30 a first set of scene information, and corresponding 20: 00-21: 00 scene information is processed.
Correspondingly, the determining the shooting mode corresponding to the target scene information as the current shooting mode and starting the current shooting mode includes:
determining the shooting mode with the highest priority corresponding to the target scene information as a current shooting mode, and starting the current shooting mode;
receiving switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
Specifically, continuing with the above example as an example, when the current scene information is beijing time 9: when 00, presetting target scene information matched with the current scene information in a scene information base as 8: 00-10: 00 scene information, wherein the shooting modes corresponding to the target scene information are a first shooting mode, a second shooting mode and a third shooting mode in sequence from high to low in priority; the three photographing modes may be displayed in order of priority in a photographing interface of the electronic device, and a first photographing mode having the highest priority may be taken as a current photographing mode.
When a slide operation for mode switching is detected, the mode of the order of priority is adopted as the current shooting mode. It can be understood that, if the current shooting mode is not the shooting mode that the user wants to use, the user may slide the shooting interface to switch the shooting modes, and since the display rule of each shooting mode in the shooting interface is displayed according to the order of the priority of the shooting mode corresponding to the target scene information, when the user slides the shooting interface once, the current shooting mode may be switched from the shooting mode of the current priority to the shooting mode of the next priority, that is, from the first shooting mode to the second shooting mode, or from the second shooting mode to the third shooting mode. Therefore, the shooting modes can be displayed according to the preference degree of the user to each shooting mode, and the efficiency of selecting the shooting modes by the user is improved.
In another embodiment, the process of performing data analysis on the historical shooting information according to the deep learning method to obtain the corresponding preset scene information base specifically includes:
classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
counting the number of each historical shooting mode in each second scene information set aiming at each second scene information set;
and associating and storing the history shooting mode with the maximum number in the second scene information set and the scene information corresponding to the second scene information set into a preset scene information base.
In this embodiment, the preset scene information base only stores each scene information and the shooting mode corresponding to the scene information with the largest shooting frequency, so that the memory occupation of the preset scene information base can be reduced.
The method comprises the steps that historical shooting information is classified according to scene information to obtain a plurality of second scene information sets; the process of counting the number of each history shooting mode in each second scene information set is basically similar to that in the previous embodiment, and is not described herein again.
When target scene information matched with the current scene information exists in the preset scene information base, a shooting mode corresponding to the target scene information can be obtained from the preset scene information base according to the incidence relation between the scene information and the shooting mode, the shooting mode is determined as the current shooting mode, and the shooting mode is started so that a user can shoot in the current shooting mode.
Further, in an embodiment, the associating and storing the largest number of the historical shooting modes in the second scene information set and the scene information corresponding to the second scene information set in the preset scene information library further includes:
judging whether the quantity reaches a preset quantity threshold value;
and if so, associating the historical shooting modes with the largest number with the scene information corresponding to the second scene information set and storing the scene information into a preset scene information base.
In this embodiment, the shooting mode with the largest number of times of use under each scene information is screened through the preset number threshold, so that the preference degree of the scene information and the corresponding shooting mode in the preset scene information base can be further improved, and the accuracy of the automatically determined shooting mode which is the shooting mode expected by the user is further improved.
The historical shooting information corresponds to a time node, namely the time node generated by the shooting information can be recorded when the shooting information is recorded after the user uses the camera to shoot each time; in an embodiment, the process of updating the preset scene information base may include:
taking a time node corresponding to any one of the historical shooting information as a detection point, and acquiring the historical shooting information behind the detection point to form a historical shooting information set;
classifying the historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets;
counting the number of each historical shooting mode in the third scene information set aiming at each third scene information set;
and updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold value and the scene information corresponding to the third scene information set.
In this embodiment, in the process of updating the preset scene information base, a time node corresponding to any one of the historical shooting information is used as a detection point, the historical shooting information after the detection point is acquired to form a historical shooting information set, each piece of historical shooting information in the historical shooting information set is analyzed and counted, and a shooting mode with the largest number of usage times corresponding to a certain piece of scene information in the historical shooting information set replaces a shooting mode associated with the certain piece of scene information in the preset scene information base.
The application scenario corresponding to this embodiment may be that a user has changed a habit of using a shooting mode for some scene information in a recent period of time, and at this time, through this embodiment, the association relationship between the scene information and the shooting mode in the preset scene information base may be adjusted as soon as possible to meet new requirements of the user.
Illustratively, the preset scene information base stores first scene information (8: 00-10: 00) and an associated front camera video mode thereof, and second scene information (12: 00-14:00) and an associated rear camera portrait mode thereof. When the user was detected 12 in the last week: 00-14: when the post-camera photo mode is frequently used within the period of 00, if the post-camera photo mode with the highest priority associated with the second scene information is still counted according to the situation of using the camera in the last month, the current scene information is still 12: 00-14: when 00, the portrait mode of the rear camera is automatically started; through the updating process of the preset scene information base in this embodiment, the shooting information at a time one week away from the current time can be used as a detection point, the shooting information after the detection point is acquired to form a historical shooting information set, and the scene information of the shooting information in the historical shooting information set is obtained by analyzing the shooting information in the historical shooting information set and is 12: 00-14: when the number of times corresponding to the post-camera photo mode is the largest and reaches a second preset number threshold value when the number of times corresponding to the post-camera photo mode is 00, updating a post-camera human image mode originally associated with second scene information (12: 00-14:00) in a preset scene information base into the post-camera photo mode; the shooting mode associated with the other scene information remains unchanged.
Further, in an embodiment, if the preset scene information base does not have target scene information matched with the current scene information, a default shooting mode is started; the default photographing mode refers to a preset photographing mode or a photographing mode of a last photographing.
In the embodiment of the application, when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information; judging whether target scene information matched with the current scene information exists in a preset scene information base or not; if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode; the camera shooting method and the camera shooting device have the advantages that the corresponding shooting mode can be started according to current scene information, the defect that the shooting mode is fixed when a camera in the prior art is started is overcome, user requirements can be better adapted, and user experience is improved.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 2, there is provided a photographing apparatus including:
the information acquisition module 201 is configured to acquire current scene information when a camera start instruction is detected, where the current scene information includes current time information and/or current location information;
the information judgment module 202 is configured to judge whether target scene information matched with current scene information exists in a preset scene information base;
and the mode determining module 203 is configured to determine the shooting mode corresponding to the target scene information as the current shooting mode and start the current shooting mode if the current shooting mode is the current shooting mode.
In one embodiment, the apparatus further comprises:
the historical information acquisition module is used for acquiring historical shooting information of the electronic equipment in a specified time period, and the historical shooting information comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and the information base generation module is used for carrying out data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, and the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
In one embodiment, the information base generation module includes:
the first classification module is used for classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
the first statistical module is used for counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
and the first storage module is used for taking one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value as a historical shooting mode set corresponding to the first scene information set, and storing the historical shooting mode set and the scene information corresponding to the first field information set into the preset scene information base in an associated manner.
In one embodiment, the first storage module further includes:
a priority determining module, configured to determine, according to a number corresponding to each historical shooting mode in the historical shooting mode set, a priority of each historical shooting mode and the first scene information set; wherein, the larger the number is, the higher the corresponding priority is;
and the priority storage module is used for storing the scene information and the priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode is positioned into the preset scene information base.
In one embodiment, the mode determining module 203 includes:
the first determining module is used for determining the shooting mode with the highest priority corresponding to the target scene information as the current shooting mode and starting the current shooting mode;
and the replacement determining module is used for receiving the switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
In one embodiment, the information base generation module includes:
the second classification module is used for classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
the second counting module is used for counting the number of the historical shooting modes in each second scene information set aiming at each second scene information set;
and the second storage module is used for associating and storing the historical shooting mode with the maximum quantity in the second scene information set and the scene information corresponding to the second scene information set into a preset scene information base.
In one embodiment, the second storage module further comprises:
the quantity judging module is used for judging whether the quantity reaches a preset quantity threshold value;
and the storage determining module is used for associating and storing the largest number of historical shooting modes and the scene information corresponding to the second scene information set into a preset scene information base if the number of the historical shooting modes is the largest.
In one embodiment, the historical photographing information corresponds to a time node, and the apparatus further includes:
the collection acquisition module is used for acquiring historical shooting information behind a detection point by taking a time node corresponding to any one of the historical shooting information as the detection point to form a historical shooting information set;
the collection classification module is used for classifying all historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets;
the collection counting module is used for counting the number of the historical shooting modes in each third scene information set aiming at each third scene information set;
and the updating module is used for updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold value and the scene information corresponding to the third scene information set.
In one embodiment, the apparatus further comprises:
the default mode module is used for starting a default shooting mode if target scene information matched with the current scene information does not exist in the preset scene information base; the default photographing mode refers to a preset photographing mode or a photographing mode of a last photographing.
For the specific definition of the photographing apparatus, reference may be made to the above definition of the photographing method, which is not described herein again. The modules in the shooting device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, Near Field Communication (NFC) or other technologies. The computer program is executed by a processor to implement a photographing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the camera provided by the present application may be implemented in the form of a computer program, which is executable on a computer device as shown in fig. 3. The memory of the computer device may store various program modules constituting the photographing apparatus, such as an information acquisition module 201, an information determination module 202, and a mode determination module 203 shown in fig. 2. The computer program constituted by the respective program modules causes the processor to execute the steps in the photographing method of the respective embodiments of the present application described in the present specification.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor, the computer device being connected to an auxiliary device, the processor implementing the following steps when executing the computer program:
when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information;
determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base;
if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode.
In one embodiment, the method further comprises:
acquiring historical shooting information of the electronic equipment in a specified time period, wherein the historical shooting information comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, wherein the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
In an embodiment, the performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base includes:
classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value are used as a historical shooting mode set corresponding to the first scene information set;
and storing the scene information corresponding to the historical shooting mode set and the first field information set in the preset scene information base in a correlated manner.
In one embodiment, the storing the scene information corresponding to the historical shooting mode set and the first field information set in association with each other in the preset scene information base further includes:
determining the priority of each historical shooting mode and the first scene information set according to the number corresponding to each historical shooting mode in the historical shooting mode set; wherein, the larger the number is, the higher the corresponding priority is;
and storing the scene information and priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode set is located into the preset scene information base.
In one embodiment, the determining the shooting mode corresponding to the target scene information as a current shooting mode and starting the current shooting mode includes:
determining the shooting mode with the highest priority corresponding to the target scene information as a current shooting mode, and starting the current shooting mode;
receiving switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
In one embodiment, performing data analysis on historical shooting information according to a deep learning method to obtain a corresponding preset scene information base includes:
classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
counting the number of each historical shooting mode in each second scene information set aiming at each second scene information set;
and associating and storing the history shooting mode with the maximum number in the second scene information set and the scene information corresponding to the second scene information set into a preset scene information base.
In one embodiment, associating and storing the largest number of the historical shooting modes in the second scene information set with the scene information corresponding to the second scene information set in a preset scene information base, further includes:
judging whether the quantity reaches a preset quantity threshold value;
and if so, associating the historical shooting modes with the largest number with the scene information corresponding to the second scene information set and storing the scene information into a preset scene information base.
In one embodiment, the historical photographing information corresponds to a time node, and the method further includes:
taking a time node corresponding to any one of the historical shooting information as a detection point, and acquiring the historical shooting information behind the detection point to form a historical shooting information set;
classifying the historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets; (ii) a
Counting the number of each historical shooting mode in the third scene information set aiming at each third scene information set;
and updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold value and the scene information corresponding to the third scene information set.
In one embodiment, the method further comprises:
if target scene information matched with the current scene information does not exist in the preset scene information base, starting a default shooting mode; the default photographing mode refers to a preset photographing mode or a photographing mode of a last photographing.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, the computer-readable storage medium being connected to an auxiliary device, the computer program, when executed by a processor, performing the steps of:
when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information;
determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base;
if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode.
In one embodiment, the method further comprises:
acquiring historical shooting information of the electronic equipment in a specified time period, wherein the historical shooting information comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, wherein the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
In an embodiment, the performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base includes:
classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value are used as a historical shooting mode set corresponding to the first scene information set;
and storing the scene information corresponding to the historical shooting mode set and the first field information set in the preset scene information base in a correlated manner.
In one embodiment, the storing the scene information corresponding to the historical shooting mode set and the first field information set in association with each other in the preset scene information base further includes:
determining the priority of each historical shooting mode and the first scene information set according to the number corresponding to each historical shooting mode in the historical shooting mode set; wherein, the larger the number is, the higher the corresponding priority is;
and storing the scene information and priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode set is located into the preset scene information base.
In one embodiment, the determining the shooting mode corresponding to the target scene information as a current shooting mode and starting the current shooting mode includes:
determining the shooting mode with the highest priority corresponding to the target scene information as a current shooting mode, and starting the current shooting mode;
receiving switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
In one embodiment, performing data analysis on historical shooting information according to a deep learning method to obtain a corresponding preset scene information base includes:
classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
counting the number of each historical shooting mode in each second scene information set aiming at each second scene information set;
and associating and storing the history shooting mode with the maximum number in the second scene information set and the scene information corresponding to the second scene information set into a preset scene information base.
In one embodiment, associating and storing the largest number of the historical shooting modes in the second scene information set with the scene information corresponding to the second scene information set in a preset scene information base, further includes:
judging whether the quantity reaches a preset quantity threshold value;
and if so, associating the historical shooting modes with the largest number with the scene information corresponding to the second scene information set and storing the scene information into a preset scene information base.
In one embodiment, the historical photographing information corresponds to a time node, and the method further includes:
taking a time node corresponding to any one of the historical shooting information as a detection point, and acquiring the historical shooting information behind the detection point to form a historical shooting information set;
classifying the historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets; (ii) a
Counting the number of each historical shooting mode in the third scene information set aiming at each third scene information set;
and updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold value and the scene information corresponding to the third scene information set.
In one embodiment, the method further comprises:
if target scene information matched with the current scene information does not exist in the preset scene information base, starting a default shooting mode; the default photographing mode refers to a preset photographing mode or a photographing mode of a last photographing.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM is available in many forms, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), and the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A shooting method is applied to an electronic device comprising a camera, and the method comprises the following steps:
when a camera starting instruction is detected, current scene information is obtained, wherein the current scene information comprises current time information and/or current location information;
determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base;
and if so, determining the shooting mode corresponding to the target scene information as the current shooting mode, and starting the current shooting mode.
2. The photographing method according to claim 1, wherein the method further comprises:
acquiring a historical shooting information set of the electronic equipment in a specified time period, wherein the historical shooting information of the historical shooting information set comprises historical scene information and a historical shooting mode corresponding to the historical scene information;
and performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base, wherein the preset scene information base comprises preset scene information and a shooting mode corresponding to the preset scene information.
3. The shooting method according to claim 2, wherein the performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base comprises:
classifying the historical shooting information according to scene information to obtain a plurality of first scene information sets;
counting the number of the historical shooting modes in each first scene information set aiming at each first scene information set;
and taking one or more historical shooting modes of which the number in the first scene information set reaches a preset number threshold value as a historical shooting mode set corresponding to the first scene information set, and storing the historical shooting mode set and the scene information corresponding to the first field information set into the preset scene information base in an associated manner.
4. The shooting method according to claim 3, wherein the storing the scene information corresponding to the historical shooting mode set and the first field information set in association with each other in the preset scene information library further comprises:
determining the priority of each historical shooting mode and the first scene information set according to the number corresponding to each historical shooting mode in the historical shooting mode set; wherein, the larger the number is, the higher the corresponding priority is;
and storing the scene information and priority association corresponding to each historical shooting mode in each historical shooting mode set and the first scene information set in which the historical shooting mode set is located into the preset scene information base.
5. The method according to claim 4, wherein the determining the shooting mode corresponding to the target scene information as a current shooting mode and starting the current shooting mode comprises:
determining the shooting mode with the highest priority corresponding to the target scene information as a current shooting mode, and starting the current shooting mode;
receiving switching operation aiming at the current shooting mode, determining a target shooting mode with a priority lower than that of the current shooting mode from the shooting modes corresponding to the target scene information, and replacing the current shooting mode with the target shooting mode.
6. The shooting method according to claim 2, wherein the performing data analysis on the historical shooting information according to a deep learning method to obtain a corresponding preset scene information base comprises:
classifying the historical shooting information according to scene information to obtain a plurality of second scene information sets;
counting the number of the historical shooting modes in each second scene information set aiming at each second scene information set;
and associating and storing the history shooting mode with the maximum number in the second scene information set with the scene information corresponding to the second scene information set into the preset scene information base.
7. The photographing method according to claim 6, wherein the history photographing information corresponds to a time node, the method further comprising:
taking a time node corresponding to any one of the historical shooting information as a detection point, and acquiring the historical shooting information behind the detection point to form a historical shooting information set;
classifying each piece of historical shooting information in the historical shooting information sets according to scene information to obtain a plurality of third scene information sets;
counting the number of the historical shooting modes in each third scene information set aiming at each third scene information set;
and updating the preset scene information base according to the historical shooting mode with the maximum number in the third scene information set and exceeding a second preset number threshold and the scene information corresponding to the third scene information set.
8. A shooting device is applied to an electronic device comprising a camera, and the device comprises:
the information acquisition module is used for acquiring current scene information when a camera starting instruction is detected, wherein the current scene information comprises current time information and/or current place information;
the information determining module is used for determining whether target scene information matched with the current scene information exists in a preset scene information base or not according to the locally stored preset scene information base;
and the mode determining module is used for determining the shooting mode corresponding to the target scene information as the current shooting mode and starting the current shooting mode if the shooting mode corresponding to the target scene information is the current shooting mode.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the photographing method according to any one of claims 1-7 when executing the computer program.
10. 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 photographing method according to any one of claims 1 to 7.
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