CN108255375A - Image-recognizing method and system - Google Patents

Image-recognizing method and system Download PDF

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Publication number
CN108255375A
CN108255375A CN201810081237.5A CN201810081237A CN108255375A CN 108255375 A CN108255375 A CN 108255375A CN 201810081237 A CN201810081237 A CN 201810081237A CN 108255375 A CN108255375 A CN 108255375A
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China
Prior art keywords
application
image
electronic equipment
module
download
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CN201810081237.5A
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Chinese (zh)
Inventor
王多
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Lenovo Beijing Ltd
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Lenovo Beijing Ltd
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Priority to CN201810081237.5A priority Critical patent/CN108255375A/en
Publication of CN108255375A publication Critical patent/CN108255375A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482Interaction with lists of selectable items, e.g. menus
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/20Scenes; Scene-specific elements in augmented reality scenes

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Stored Programmes (AREA)

Abstract

Present disclose provides a kind of image-recognizing method, including:Obtain the image for including at least one object;It identifies described image, determines at least one application corresponding at least one object;And it downloads and the corresponding electronic data of at least one application.The disclosure additionally provides a kind of image identification system.

Description

Image-recognizing method and system
Technical field
This disclosure relates to a kind of image-recognizing method and system.
Background technology
Widely available with the Internet, applications, diversified electronic data comes into being, such as application program, video File, audio file, image file, Email or document etc..These electronic data bring many facilities.Example Such as application program, people need not go shopping when doing shopping, directly place an order in shopping application program.Such as video file again, sees Film need not go to the cinema, and directly watch movie download to electronic equipment.Therefore, the mobile phone of present people, tablet, electricity The electronic equipments such as brain have downloaded many electronic data.
But inventor has found, when people replace mobile phone, tablet, computer when electronic equipments, needs in new electronic equipment On re-download electronic data on old electronic equipment.For example, it needs frequently to input application program when downloading application program Title searches out application program corresponding with the title of application program, then clicks download button.It is related in entire downloading process And too many manual operation, user experience is caused to reduce.
Invention content
An aspect of this disclosure provides a kind of image-recognizing method, including:Obtain the figure for including at least one object Picture;It identifies described image, determines at least one application corresponding at least one object;And it downloads and described at least one It is a to apply corresponding electronic data.
Optionally, the image for including at least one object that obtains includes:It is obtained by the camera of electronic equipment another The image shown in the user interface of one electronic equipment;And/or receive what is shown in the user interface of another electronic equipment Image;Wherein, the image shown in the user interface of another electronic equipment includes at least one application.
Optionally, at least one object include it is following in it is any one or more:Icon, word or picture;And And/or electronic data described in person include it is following in it is any one or more:The installation file of application program, video file, sound Frequency file, image file, Email or document.
Optionally, it downloads and includes with the corresponding electronic data of at least one application:According at least one application Generate list;The first operation of response, one or more application is chosen in the list;And it downloads and chooses one or more with described It is a to apply corresponding electronic data.
Optionally, the method further includes:The electronic data downloaded is detected, and according to testing result under The electronic data of load is handled.
Optionally, the method further includes:If there are the corresponding objects of multiple applications, batch in the image obtained to download institute State all or part in multiple applications.
Optionally, the method further includes:Detect whether the electronic equipment has installed the multiple application;Described in download The uninstalled application of electronic equipment described in multiple applications.
Optionally, the method further includes:If obtain image in exist set a file, it is described set a file include it is more A application;The all or part of application in setting a file described in download.
Another aspect of the disclosure provides a kind of image identification system, including:Acquisition module, for obtaining comprising extremely The image of a few object;Identification module for identifying described image, determines at least one corresponding at least one object A application;And first download module, for downloading and the corresponding electronic data of at least one application.
Optionally, the acquisition module includes:First acquisition submodule obtains separately for passing through the camera of electronic equipment The image shown in the user interface of one electronic equipment;And/or the second acquisition submodule, for receiving another electronic equipment User interface on the image that shows;Wherein, the image shown in the user interface of another electronic equipment include it is described extremely A few application.
Optionally, at least one object include it is following in it is any one or more:Icon, word or picture;And And/or electronic data described in person include it is following in it is any one or more:The installation file of application program, video file, sound Frequency file, image file, Email or document.
Optionally, the first download module includes:Generation module, for generating list according at least one application;It rings Module is answered, for responding the first operation, one or more application is chosen in the list;And first download submodule, be used for It downloads and chooses the corresponding electronic data of one or more application with described.
Optionally, the system also includes:Processing module, for being detected to the electronic data downloaded, and according to Testing result handles the electronic data downloaded.
Optionally, the system also includes:Second download module, if for acquisition image in there are multiple applications correspondences Object, download all or part in the multiple application in batches.
Optionally, the system also includes:Detection module, for detect the electronic equipment whether installed it is the multiple Using;Third download module, for downloading the uninstalled application of electronic equipment described in the multiple application.
Optionally, the system also includes:4th download module, if setting a file for existing in the image of acquisition, institute It states to set a file and includes multiple applications, all or part of the application in setting a file described in download.
Another aspect of the present disclosure provides a kind of image identification system, including:One or more processors and storage Device.Wherein, storage device, for storing one or more programs.Wherein, when one or more of programs are one Or multiple processors are when performing so that one or more of processors realize above-mentioned method.
Another aspect of the present disclosure provides a kind of non-volatile memory medium, is stored with computer executable instructions, institute It states instruction and is used to implement method as described above when executed.
Another aspect of the present disclosure provides a kind of computer program, and the computer program can perform finger including computer It enables, described instruction is used to implement method as described above when executed.
Description of the drawings
In order to which the disclosure and its advantage is more fully understood, referring now to being described below with reference to attached drawing, wherein:
Figure 1A is diagrammatically illustrated according to the image-recognizing method of the embodiment of the present disclosure and systematic difference scene;
Figure 1B is diagrammatically illustrated according to the image-recognizing method of another embodiment of the disclosure and systematic difference scene;
Fig. 2 diagrammatically illustrates the flow chart of the image-recognizing method according to the embodiment of the present disclosure;
Fig. 3 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure;
Fig. 4 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure;
Fig. 5 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure;
Fig. 6 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure;
Fig. 7 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure;
Fig. 8 diagrammatically illustrates the block diagram of the image identification system according to the embodiment of the present disclosure;
Fig. 9 diagrammatically illustrates the block diagram of the image identification system according to another embodiment of the disclosure;
Figure 10 diagrammatically illustrates the block diagram of the image identification system according to another embodiment of the disclosure;
Figure 11 diagrammatically illustrates the block diagram of the image identification system according to another embodiment of the disclosure;And
Figure 12 is diagrammatically illustrated according to the computer system for being adapted for carrying out image-recognizing method of the embodiment of the present disclosure Block diagram.
Specific embodiment
Hereinafter, it will be described with reference to the accompanying drawings embodiment of the disclosure.However, it should be understood that these descriptions are only exemplary , and it is not intended to limit the scope of the present disclosure.In addition, in the following description, the description to known features and technology is omitted, with Avoid unnecessarily obscuring the concept of the disclosure.
Term as used herein is not intended to limit the disclosure just for the sake of description specific embodiment.It uses herein Term " comprising ", "comprising" etc. show the presence of the feature, step, operation and/or component, but it is not excluded that in the presence of Or other one or more features of addition, step, operation or component.
All terms (including technical and scientific term) as used herein have what those skilled in the art were generally understood Meaning, unless otherwise defined.It should be noted that term used herein should be interpreted that with consistent with the context of this specification Meaning, without should by idealization or it is excessively mechanical in a manner of explain.
It, in general should be according to this in the case where using similar to " in A, B and C etc. at least one " such statement Field technology personnel are generally understood the meaning of the statement to make an explanation (for example, " having system at least one in A, B and C " Should include but not limited to individually with A, individually with B, individually with C, with A and B, with A and C, with B and C, and/or System with A, B, C etc.).In the case where using similar to " in A, B or C etc. at least one " such statement, it is general come Say be generally understood the meaning of the statement to make an explanation (for example, " having in A, B or C at least according to those skilled in the art The system of one " should include but not limited to individually with A, individually with B, individually with C, with A and B, with A and C, with B and C, and/or the system etc. with A, B, C).It should also be understood by those skilled in the art that substantially arbitrarily represent two or more The adversative conjunction and/or phrase of optional project, either in specification, claims or attached drawing, shall be construed as It gives including one of these projects, the possibility of these projects either one or two projects.For example, phrase " A or B " should It is understood to include the possibility of " A " or " B " or " A and B ".
Shown in the drawings of some block diagrams and/or flow chart.It should be understood that some sides in block diagram and/or flow chart Frame or combination can be realized by computer program instructions.These computer program instructions can be supplied to all-purpose computer, The processor of special purpose computer or other programmable data processing units, so as to which these instructions can be with when being performed by the processor Create the device for being used to implement these block diagrams and/or function/operation illustrated in flow chart.
Therefore, the technology of the disclosure can be realized in the form of hardware and/or software (including firmware, microcode etc.).Separately Outside, the technology of the disclosure can take the form of the computer program product on the computer-readable medium for being stored with instruction, should Computer program product uses or combines instruction execution system for instruction execution system and uses.In the context of the disclosure In, computer-readable medium can be the arbitrary medium that can include, store, transmit, propagate or transmit instruction.For example, it calculates Machine readable medium can include but is not limited to electricity, magnetic, optical, electromagnetic, infrared or semiconductor system, device, device or propagation medium. The specific example of computer-readable medium includes:Magnetic memory apparatus, such as tape or hard disk (HDD);Light storage device, such as CD (CD-ROM);Memory, such as random access memory (RAM) or flash memory;And/or wire/wireless communication link.
Embodiment of the disclosure provides a kind of image-recognizing method, including:Obtain the image for including at least one object; It identifies described image, determines at least one application corresponding at least one object;And download with it is described at least one Using corresponding electronic data.The disclosure additionally provides a kind of image identification system.
Figure 1A is diagrammatically illustrated according to the image-recognizing method of the embodiment of the present disclosure and systematic difference scene.
As shown in Figure 1A, application scenarios 100 include electronic equipment 110 and electronic equipment 120.
In some embodiments, user can obtain the use of electronic equipment 110 by the camera 121 of electronic equipment 120 The image at family interface, the image of acquisition include at least one object, and electronic equipment 120 can be determined from least one object At least one application can also download and the corresponding electronic data of at least one application.
In some embodiments, electronic equipment 120 can also receive the use that electronic equipment 110 is sent by network 130 The image at family interface, as shown in Figure 1B.
For example, user replace electronic equipment (for example, electronic equipment 110 is the old electronic equipment of user, electronic equipment 120 be the new electronic equipment of user) when, the application that is commonly used due to being mounted with user on electronic equipment 110, in user The application identical with electronic equipment 110 is installed in hope after having purchased electronic equipment 120, and user needs to lead in the prior art Electronic equipment 120 using the Apply Names of electronic equipment 110 being inputted on shop one by one, and it is searched for, then download one by one With the corresponding electronic data of application of electronic equipment 110.In accordance with an embodiment of the present disclosure, the application shop of electronic equipment 120 It can be used for downloading various applications.
In some embodiments of the present disclosure, user can shoot electronic equipment by the camera 121 of electronic equipment 120 110 user interface or electronic equipment 120 can receive the image of the user interface sent by electronic equipment 110, and identification should Then the required application of user is downloaded in the application that image is downloaded so that user is determined to need from the image.In this way Mode downloads application, it is possible to reduce and user inputs the number of Apply Names and clicks the number of down operation in the prior art, from And it is that user saves the time, and improve user experience.
It should be noted that it is only the example for the scene that can apply the embodiment of the present disclosure shown in Figure 1A and Figure 1B, with side The technology contents those skilled in the art understand that disclosure are helped, but are not meant to that the embodiment of the present disclosure may not be usable for other and set Standby, system, environment or scene.
Fig. 2 diagrammatically illustrates the flow chart of the image-recognizing method according to the embodiment of the present disclosure.
As shown in Fig. 2, the image-recognizing method includes operation S201~operation S203.
In operation S201, the image for including at least one object is obtained.
In accordance with an embodiment of the present disclosure, obtaining the image comprising at least one object can specifically include passing through electronic equipment Camera obtain the image shown in the user interface of another electronic equipment and/or the use for receiving another electronic equipment The image shown on the interface of family.Wherein, the image shown in the user interface of another electronic equipment includes at least one application.Example Such as, the image shown in the user interface of another electronic equipment can be shown on the electronic equipment 110 shown in Figure 1A or Figure 1B Image, which can include but is not limited to U.S. group's application, pea pods application, Baidu's cloud application, 360 cloud disks, Driving Test treasured book Etc..
In accordance with an embodiment of the present disclosure, at least one object can include it is following in it is any one or more:Icon, text Word or picture.For example, the adaptable application icon of at least one object or the icon or text of word or file Part name can also be the picture for opening the various people shown during application or object.
In operation S202, identify image, determine at least one application corresponding at least one object.
In accordance with an embodiment of the present disclosure, identification image can be icon, word or the picture identified in the image.For example, The image includes U.S. group's application, and electronic equipment can determine the application by identifying the icon of U.S. group's application, can also pass through The word that identification is located at below the icon determines the application, can also be by identifying that it is true that the picture shown when application is opened is rolled into a ball by U.S. The fixed application.
In operation S203, download and the corresponding electronic data of at least one application.
In accordance with an embodiment of the present disclosure, electronic data can include it is following in it is any one or more:Application program Installation file, video file, audio file, image file, Email or document.For example, it is determined by operating S202 After at least one application, electronic equipment can download with the corresponding installation file of at least one application, can also download with It is at least one to apply corresponding video file, audio file, image file, Email or document.
In accordance with an embodiment of the present disclosure, it is shown in the user interface that electronic equipment can be by identifying another electronic equipment Image determines at least one application that the image is included, then downloads and the corresponding electronic data of at least one application, this Sample can reduce user in the prior art and input the number of Apply Names and click the number of down operation, so as to be saved for user Time, and improve user experience.
Fig. 3 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure.
As shown in figure 3, the operation S203 of the image-recognizing method can specifically include operation S301~operation S303.
In operation S301, list is generated according at least one application.
In accordance with an embodiment of the present disclosure, after at least one application is determined by operating S202, electronic equipment can be with List is generated according to determining at least one application, which selects for user.Shown in table specific as follows.
It is optional Apply Names Version Operating system Size
Group of U.S. 5.1.2 Android/IOS 20M
Baidu's cloud 5.2.3 Android/IOS 32M
360 cloud disks 4.7.9 Android/IOS 29M
Pea pods 4.6.5 Android/IOS 18M
The bird of indignation 4.1.2 Android/IOS 68M
In operation S302, the first operation of response chooses one or more application in list.
In operation S303, electronic data corresponding with choosing one or more application is downloaded.
In accordance with an embodiment of the present disclosure, electronic equipment can respond the first operation of user, such as the first operation can be User is directed to the selection operation that upper table is made.User can select required application self in above-mentioned table, and download and its Corresponding electronic data.
By this method, user can intuitively find oneself required application in above-mentioned table, and it is selected, In this case, user need not enter inputs Apply Names to oneself required application using shop and searches one by one Then rope is downloaded one by one to searching out the application come, can reduce the number that user in the prior art inputs Apply Names in this way With the number for clicking down operation.
Fig. 4 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure.
As shown in figure 4, other than operation S201~operation S203 of Fig. 2 embodiments description, the image-recognizing method is also Including operating S401.
In operation S401, if downloading the multiple application in batches there are the corresponding object of multiple applications in the image obtained In all or part.
With reference to figure 1A and Figure 1B, if existed in the image of the user interface for the electronic equipment 110 that electronic equipment 120 obtains It is multiple to apply corresponding object (for example, the icon of U.S. group's application, the icon of pea pods application, the icon of easy purchase rebating application, hundred Spend the icon of cloud application, the icon of 360 cloud disks application, the application of Driving Test treasured book icon) when, electronic equipment 120 can be under batch Carry all or part in multiple applications.For example, electronic equipment 120 can download obtain image in all using (for example, U.S. Group's application, easily pea pods application, the application of purchase rebating, the application of Baidu's cloud application, 360 cloud disks and the application of Driving Test treasured book), it can also Download the certain applications (for example, 360 cloud disks are applied and the application of Driving Test treasured book) obtained in image.It answers in this way multiple The number that can be reduced user and click down operation is downloaded with batch.For example, user carries out down multiple applications in the prior art During load, need first to search for multiple applications one by one, and the application to searching out is downloaded one by one, need user frequent in this way Click download button, reduce user experience, but the disclosure can carry out batch download, therefore can keep away to multiple applications Exempt from user and frequently click download button, so as to improve user experience.
Fig. 5 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure.
As shown in figure 5, other than operation S201~operation S203 of Fig. 2 embodiments description, the image-recognizing method is also Including operating S501.
In operation S501, the electronic data downloaded is detected, and the electron number to having downloaded according to testing result According to being handled.
In accordance with an embodiment of the present disclosure, to downloaded electronic data (for example, electronic data be application installation text Part) it is detected, whether the installation file for detecting the application is safe, if safety, the installation file for continuing to detect the application are The installation file of the no latest edition for being the application, if not latest edition, then the installation file is updated to this automatically should Latest edition, so that user can experience the application of latest edition.
Fig. 6 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure.
As shown in fig. 6, the image-recognizing method further includes operation S601 and operation S602.
In operation S601, detect whether the electronic equipment has installed the multiple application.
In operation S602, the uninstalled application of electronic equipment described in the multiple application is downloaded.
In accordance with an embodiment of the present disclosure, when electronic equipment is by identifying that it is multiple in application, at this time that acquisition image defines Electronic equipment need to detect the application whether itself has been mounted in multiple applications, if electronic equipment has been mounted with multiple answer Application in, in this case, whether the version that electronic equipment also needs to detect the application of itself installation is latest edition, If it is the application is no longer downloaded, it in this way can be only to being not installed on the application or installation of electronic equipment in multiple applications It is downloaded in the application that the version of the application of electronic equipment is not latest edition, it in this way can be to avoid download same application in electricity In sub- equipment, so as to save flow for user.
Fig. 7 diagrammatically illustrates the flow chart of the image-recognizing method according to another embodiment of the disclosure.
As shown in fig. 7, other than operation S201~operation S203 of Fig. 2 embodiments description, the image-recognizing method is also Including operating S701.
In operation S701, set a file if existing in the image obtained, this, which is set a file, includes multiple applications;Downloading should The all or part of application in setting a file.
For example, object corresponding with setting a file, the wherein middle packet of setting a file are included in the image that electronic equipment obtains Containing multiple applications, the application in setting a file should be identified in electronic equipment at this time, to determine multiple applications, such as Define set a file including the application of group of U.S., pea pods application, easily purchase rebating application, Baidu's cloud application, 360 cloud disks apply, With Driving Test treasured book application, in this case, electronic equipment can carry out batch download to the application in setting a file.For example, Electronic equipment can be middle all using being downloaded to setting a file, and the certain applications in setting a file can be downloaded.
Fig. 8 diagrammatically illustrates the block diagram of image identification system according to an embodiment of the present disclosure.
As shown in figure 8, system 800 includes acquisition module 810,820 and first download module 830 of identification module.
Specifically, acquisition module 810, for obtaining the image for including at least one object.
Identification module 820, for identifying described image, determine corresponding at least one object it is at least one should With.
First download module 830, for downloading and the corresponding electronic data of at least one application.
In accordance with an embodiment of the present disclosure, image identification system 800 can be used to implement the image identification of Fig. 2 embodiments description Method.
Fig. 9 diagrammatically illustrates the block diagram of image identification system according to another embodiment of the present disclosure.
It is obtained as shown in figure 9, the acquisition module 810 of system 800 can specifically include the first acquisition submodule 811 and second Submodule 812.
Specifically, the first acquisition submodule 811, for passing through the use that the camera of electronic equipment obtains another electronic equipment The image shown on the interface of family.
Second acquisition submodule 812, for receiving the image shown in the user interface of another electronic equipment, wherein, institute It states the image shown in the user interface of another electronic equipment and includes at least one application.
Figure 10 diagrammatically illustrates the block diagram of image identification system according to another embodiment of the present disclosure.
As shown in Figure 10, the first download module 830 of system 800 can specifically include generation module 831, respond module 832 and first download submodule 833.
Specifically, generation module 831, for generating list according at least one application.
For responding the first operation, one or more application is chosen in the list for respond module 832.
First downloads submodule 833, and the corresponding electronic data of one or more application is chosen with described for downloading.
In accordance with an embodiment of the present disclosure, the system shown in Figure 10 is used to implement the image-recognizing method of figure embodiment description.
Figure 11 diagrammatically illustrates the block diagram of image identification system according to an embodiment of the present disclosure.
As shown in figure 11, system 900 is described in addition to Fig. 8~Figure 10 embodiments acquisition module 810, the first acquisition submodule 811st, the second acquisition submodule 812, identification module 820, the first download module 830, generation module 831, respond module 832, with And first download submodule 833 except, the system 900 further include processing module 910, the second download module 920, third download Module 930, the 4th download module 940 and detection module 950.
Specifically, processing module 910, for being detected to the electronic data downloaded, and according to testing result to The electronic data of download is handled.
Second download module 920, if for applying corresponding object there are multiple in the image of acquisition, in batches described in download All or part in multiple applications.
Third download module 930, for downloading the uninstalled application of electronic equipment described in the multiple application.
4th download module 940, if for acquisition image in exist set a file, it is described set a file include it is multiple Using all or part of the application in setting a file described in download.
Detection module 950, for detecting whether the electronic equipment has installed the multiple application.
In accordance with an embodiment of the present disclosure, the method that system 900 can be used to implement the description of Fig. 2~Fig. 7 embodiments.
It is understood that acquisition module 810, the first acquisition submodule 811, the second acquisition submodule 812, identification module 820th, the first download module 830, generation module 831, respond module 832, first download submodule 833, processing module 910, the Two download modules 920, third download module 930, the 4th download module 940 and detection module 950 and may be incorporated in one It is realized in module or any one module therein can be split into multiple modules.Alternatively, these moulds it is in the block one or At least part function of multiple modules can be combined, and realized in a module at least part function of other modules. According to an embodiment of the invention, acquisition module 810, the first acquisition submodule 811, the second acquisition submodule 812, identification module 820th, the first download module 830, generation module 831, respond module 832, first download submodule 833, processing module 910, the At least one of two download modules 920, third download module 930, the 4th download module 940 and detection module 950 can To be at least implemented partly as hardware circuit, for example, field programmable gate array (FPGA), programmable logic array (PLA), The system in system, encapsulation, application-specific integrated circuit (ASIC) in system on chip, substrate can be to integrate circuit Or the hardware such as any other rational method or firmware of encapsulation are realized or with three kinds of software, hardware and firmware realization sides The appropriately combined of formula is realized.Alternatively, acquisition module 810, the first acquisition submodule 811, the second acquisition submodule 812, identification Module 820, the first download module 830, generation module 831, respond module 832, first download submodule 833, processing module 910th, the second download module 920, third are downloaded in module 930, the 4th download module 940 and detection module 950 at least One can at least be implemented partly as computer program module, when the program is run by computer, can perform corresponding The function of module.
Figure 12 is diagrammatically illustrated according to the computer system for being adapted for carrying out image-recognizing method of the embodiment of the present disclosure Block diagram.
As shown in figure 12, system 1000 include processor 1010, computer readable storage medium 1020, camera 1030, And signal transceiver 1040.The system 1000 can perform the method described above with reference to Fig. 2~Fig. 7.
Specifically, processor 1010 can for example include general purpose microprocessor, instruction set processor and/or related chip group And/or special microprocessor (for example, application-specific integrated circuit (ASIC)), etc..Processor 1010 can also include caching The onboard storage device of purposes.Processor 1010 can be performed for reference to 2~Fig. 7 of figure describe according to the embodiment of the present disclosure Single treatment unit either multiple processing units of the different actions of method flow.
Computer readable storage medium 1020, such as can include, store, transmit, propagate or transmit instruction Arbitrary medium.For example, readable storage medium storing program for executing can include but is not limited to electricity, magnetic, optical, electromagnetic, infrared or semiconductor system, dress It puts, device or propagation medium.The specific example of readable storage medium storing program for executing includes:Magnetic memory apparatus, such as tape or hard disk (HDD);Light Storage device, such as CD (CD-ROM);Memory, such as random access memory (RAM) or flash memory;And/or wire/wireless communication Link.
Computer readable storage medium 1020 can include computer program 1021, which can include Code/computer executable instructions, when being performed by processor 1010 so that processor 1010 is performed for example above in conjunction with Fig. 2 The described method flows of~Fig. 7 and its any deformation.
Computer program 1021 can be configured with such as computer program code including computer program module.Example Such as, in the exemplary embodiment, the code in computer program 1021 can include one or more program modules, such as including 1021A, module 1021B ....It should be noted that the dividing mode and number of module are not fixed, those skilled in the art It can be combined according to actual conditions using suitable program module or program module, when these program modules are combined by processor 1010 when performing so that processor 1010 can be performed for example above in conjunction with described method flows of Fig. 2~Fig. 7 and its any Deformation.
In accordance with an embodiment of the present disclosure, processor 1010 can be handed over camera 1030 and signal transceiver 1040 Mutually, it performs above in conjunction with the described method flows of Fig. 2~Fig. 7 and its any deformation.
According to an embodiment of the invention, acquisition module 810, the first acquisition submodule 811, the second acquisition submodule 812, knowledge Other module 820, the first download module 830, generation module 831, respond module 832, first download submodule 833, processing module 910th, the second download module 920, third are downloaded in module 930, the 4th download module 940 and detection module 950 at least One can be implemented as the computer program module described with reference to figure 11, when being performed by processor 1010, can realize The corresponding operating of face description.
It will be understood by those skilled in the art that the feature described in each embodiment and/or claim of the disclosure can To carry out multiple combinations or/or combination, even if such combination or combination are not expressly recited in the disclosure.Particularly, exist In the case of not departing from disclosure spirit or teaching, the feature described in each embodiment and/or claim of the disclosure can To carry out multiple combinations and/or combination.All these combinations and/or combination each fall within the scope of the present disclosure.
Although the disclosure, art technology has shown and described with reference to the certain exemplary embodiments of the disclosure Personnel it should be understood that in the case of the spirit and scope of the present disclosure limited without departing substantially from the following claims and their equivalents, A variety of changes in form and details can be carried out to the disclosure.Therefore, the scope of the present disclosure should not necessarily be limited by above-described embodiment, But should be not only determined by appended claims, also it is defined by the equivalent of appended claims.

Claims (10)

1. a kind of image-recognizing method, including:
Obtain the image for including at least one object;
It identifies described image, determines at least one application corresponding at least one object;And
It downloads and the corresponding electronic data of at least one application.
2. according to the method described in claim 1, wherein, the image for including at least one object that obtains includes:
The image shown in the user interface of another electronic equipment is obtained by the camera of electronic equipment;And/or
Receive the image shown in the user interface of another electronic equipment;
Wherein, the image shown in the user interface of another electronic equipment includes at least one application.
3. according to the method described in claim 1, wherein:
At least one object include it is following in it is any one or more:Icon, word or picture;And/or
The electronic data include it is following in it is any one or more:The installation file of application program, video file, audio text Part, image file, Email or document.
4. according to the method described in claim 1, wherein, download includes with the corresponding electronic data of at least one application:
According at least one application generation list;
The first operation of response, one or more application is chosen in the list;And
It downloads and chooses the corresponding electronic data of one or more application with described.
5. it according to the method described in claim 1, further includes
If all or part in the multiple application is downloaded in batches there are the corresponding object of multiple applications in the image obtained.
6. a kind of image identification system, including:
Acquisition module, for obtaining the image for including at least one object;
Identification module for identifying described image, determines at least one application corresponding at least one object;And
First download module, for downloading and the corresponding electronic data of at least one application.
7. system according to claim 6, wherein, acquisition module includes:
First acquisition submodule obtains what is shown in the user interface of another electronic equipment for passing through the camera of electronic equipment Image;And/or
Second acquisition submodule, for receiving the image shown in the user interface of another electronic equipment;
Wherein, the image shown in the user interface of another electronic equipment includes at least one application.
8. system according to claim 6, wherein:
At least one object include it is following in it is any one or more:Icon, word or picture;And/or
The electronic data include it is following in it is any one or more:The installation file of application program, video file, audio text Part, image file, Email or document.
9. system according to claim 6, wherein, download module includes:
Generation module, for generating list according at least one application;
For responding the first operation, one or more application is chosen in the list for respond module;And
First downloads submodule, and the corresponding electronic data of one or more application is chosen with described for downloading.
10. system according to claim 6, further includes
Second download module, if for, there are the corresponding object of multiple applications, downloading the multiple answer in batches in the image of acquisition All or part in.
CN201810081237.5A 2018-01-26 2018-01-26 Image-recognizing method and system Pending CN108255375A (en)

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