CN107704514A - A kind of photo management method, device and computer-readable recording medium - Google Patents
A kind of photo management method, device and computer-readable recording medium Download PDFInfo
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- CN107704514A CN107704514A CN201710776631.6A CN201710776631A CN107704514A CN 107704514 A CN107704514 A CN 107704514A CN 201710776631 A CN201710776631 A CN 201710776631A CN 107704514 A CN107704514 A CN 107704514A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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Abstract
The invention discloses a kind of photo management method, device and computer-readable recording medium, is related to terminal shooting technology field.This method comprises the following steps：Photo is searched from local picture data storehouse by photo enquiry module, and the photo inquired about and selected is shown on screen；Image procossing is carried out to the selected photo by an intelligent identification module, and is that the selected photo is marked according to described image result；Classification storage is carried out to all photos according to default class condition according to the label information of all photos.By setting photo enquiry module and intelligent identification module, target picture can be found out from magnanimity photo from local picture data storehouse by photo enquiry module；Intelligent identification module is analyzed chosen photo by image recognition database and analysis result is fed back into terminal, optimizes acquired photo management and application.
Description
Technical field
The present invention relates to terminal shooting technology field, more particularly to a kind of photo management method, device and computer-readable
Storage medium.
Background technology
The typically integrated photography and vedio recording component of mobile terminal (such as smart mobile phone, tablet personal computer etc.), for by mobile whole
End is rapidly taken pictures, made video recording, and is increasingly developed with the hardware technology level of photography and vedio recording component, the pixel of camera is got over
Come that higher, focus function is stronger and stronger so that taken pictures at any time using mobile terminal, make video recording have become people's life must
Indispensable part, people can be realized after image information is obtained by internet rapidly shares exchange, greatly carries
The Consumer's Experience of mobile terminal has been risen, or even has changed the lifestyle of people.
With diversification Information Technology Development, when people are taken pictures or made video recording by mobile terminal, not only
Only it is satisfied with and obtains related image information, has new requirement for the quality of acquired photo, video, it is more derivative very
More personalized requirements, in particular with the development of big data, it is developed many and takes pictures shooting application program, these are taken pictures
Image application program automatic modification can be carried out to photo and obtain personalized effect, or picture editor's instrument is provided and allows user
Quick editing and processing voluntarily can be carried out to the photo of acquisition, and sharing function etc. is provided.
But as user is frequently taken pictures, substantial amounts of photo will be stored in terminal, can reach it is hundreds of thousands of, so,
When user needs after take pictures to carry out inquiry to use photo, just seem very inconvenient, and if be stored with multiple similar
During photo, terminal storage resource is wasted；Existing shooting application program of taking pictures lacks to be managed for user's acquisition photo,
The storage of optimization photo and the function of using.
The content of the invention
It is a primary object of the present invention to propose a kind of photo management method, device and computer-readable recording medium, purport
The technical problem stored with using is optimized to the acquired photo of user solving existing shooting application program shortage of taking pictures.
In order to solve the above-mentioned technical problem, the invention provides a kind of photo management method, this method to comprise the following steps：
Photo is searched from local picture data storehouse by photo enquiry module, and the photo inquired about and selected is being shielded
Shown on curtain；
Image procossing is carried out to the selected photo by an intelligent identification module, and according to described image result
It is marked for the selected photo；
Classification storage is carried out to all photos according to default class condition according to the label information of all photos.
Further, it is described that photo is searched from local picture data storehouse by photo enquiry module, and will inquire about simultaneously
Selected photo is further comprising the steps of after the step of being shown on screen：
The selected photo is associated with address book contact list, selected photo is arranged with one
The head portrait of address book contact.
Further, it is described that photo is searched from local picture data storehouse by photo enquiry module, and will inquire about simultaneously
Selected photo is further comprising the steps of before the step of being shown on screen：
The photo enquiry module and the intelligent identification module are preset, the photo enquiry module is integrally disposed in bat
According to shooting application program, the intelligent identification module is arranged on a cloud server.
Further, it is described that photo is searched from local picture data storehouse by photo enquiry module, and will inquire about simultaneously
Selected photo is specifically included shown on screen the step of：
Function interface in the local picture data storehouse sets a photo to inquire about input field, and input or selection are crucial
Word, classification information, label information；
According to the keyword, the classification information or the label information from the local picture data library inquiry simultaneously
The photo list inquired described in display；
Click on and select a certain photo in the photo list, the photo is shown on screen.
Further, it is described that image procossing is carried out to the selected photo by an intelligent identification module, and according to institute
State processing result image includes for the specific steps that the selected photo is marked：
The photo selected described in long-press triggers the intelligent identification module, by the selected photo upload to cloud service
Device；
The cloud server combination image recognition database carries out image procossing to the selected photo, and by described in
Shown after processing result image feedback on screen.
Further, the label information according to all photos is classified according to default class condition to all photos
After the step of storage, in addition to：
Image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photo；It will be closed
Into photo preserve.
Further, it is described that image procossing and synthesis one are carried out to all similar photos by the intelligent identification module
Open photo；After the step of synthesized photo is preserved, in addition to：
Whether prompting deletes original similar photo.
Further, described image result includes personage, scene, background scenery and default photo style；Institute
State after processing result image feeds back after the step of being shown on screen, prompting user selects institute according to described image result
State selected photo classification storage.
Based on same inventive concept, another aspect of the present invention, there is provided a kind of photo management device, the photo management
Device includes processor, memory and data/address bus；
The data/address bus is used to realize the connection communication between processor and memory；
The processor is used to perform the photo-managing program stored in memory, to realize following steps：
Photo is searched from local picture data storehouse by photo enquiry module, and the photo inquired about and selected is being shielded
Shown on curtain；
Image procossing is carried out to the selected photo by an intelligent identification module, and according to described image result
It is marked for the selected photo；
Classification storage is carried out to all photos according to default class condition according to the label information of all photos；
Image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photo；It will be closed
Into photo preserve.
Based on same inventive concept, another aspect of the present invention, there is provided a kind of computer-readable recording medium, the meter
Photo-managing program is stored with calculation machine readable storage medium storing program for executing, the photo-managing program is realized above-mentioned when being executed by processor
The step of photo management method.
The beneficial effect of technical solution of the present invention：
The present invention photo management method, device and computer-readable recording medium, by set photo enquiry module and
Intelligent identification module, the two functional modules are arranged on terminal applies or intelligent identification module is arranged on cloud server
In, target picture can be found out from magnanimity photo from local picture data storehouse by photo enquiry module, there is provided condition is looked into
Look for, fuzzy search and classification searching etc. quickly search mode；Intelligent identification module is by image recognition database to chosen
Photo is analyzed, and such as personage, scene, a variety of pictorial elements of background scenery are analyzed, and analysis result fed back to
Terminal, is label information with chosen photo associated storage, and user is still photo input marking by artificial set-up mode
Information, these label informations are used for photo inquiry and photo classification arranges storage, and these class conditions can be label information
Can also be that user individual is set.In addition, by the way that original similar photo, Neng Gouyou are merged and deleted to similar photo
Change terminal photo storage resource, additionally provide the mode that address book contact list associates with photo progress head portrait, optimize
The photo management of acquisition and application.
Brief description of the drawings
Fig. 1 is a kind of hardware architecture diagram for the mobile terminal for realizing each embodiment of the present invention；
Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention；
Fig. 3 is the first photo management method FB(flow block) provided in an embodiment of the present invention；
Fig. 4 is that photo provided in an embodiment of the present invention inquires about detailed process FB(flow block)；
Fig. 5 is Intelligent Recognition image procossing detailed process FB(flow block) provided in an embodiment of the present invention；
Fig. 6 is that photo provided in an embodiment of the present invention is inquired about with merging the specific FB(flow block) for performing step；
Fig. 7 is that Intelligent Recognition image procossing provided in an embodiment of the present invention specifically performs step with Associate to Contact's head portrait
FB(flow block)；
Fig. 8 is a kind of a kind of hardware architecture diagram of photo management device provided in an embodiment of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In follow-up description, the suffix using such as " module ", " part " or " unit " for representing element is only
Be advantageous to the explanation of the present invention, itself there is no a specific meaning.Therefore, " module ", " part " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, the terminal described in the present invention can include such as mobile phone, flat board
Computer, notebook computer, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
Media player (Portable Media Player, PMP), guider, wearable device, Intelligent bracelet, pedometer etc. move
Dynamic terminal, and the fixed terminal such as digital TV, desktop computer.
It will be illustrated in subsequent descriptions by taking mobile terminal as an example, it will be appreciated by those skilled in the art that except special
Outside element for moving purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, its hardware architecture diagram for a kind of mobile terminal of each embodiment of the realization present invention, the shifting
Dynamic terminal 100 can include：RF (Radio Frequency, radio frequency) unit 101, WiFi module 102, audio output unit
103rd, A/V (audio/video) input block 104, sensor 105, display unit 106, user input unit 107, interface unit
108th, the part such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not form the restriction to mobile terminal, and mobile terminal can be included than illustrating more or less parts,
Either combine some parts or different parts arrangement.
The all parts of mobile terminal are specifically introduced with reference to Fig. 1：
Radio frequency unit 101 can be used for receiving and sending messages or communication process in, the reception and transmission of signal, specifically, by base station
Downlink information receive after, handled to processor 110；In addition, up data are sent to base station.Generally, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, penetrate
Frequency unit 101 can also be communicated by photo management with network and other equipment.Above-mentioned photo management can use any communication
Standard or agreement, including but not limited to GSM (Global System of Mobile communication, global system for mobile telecommunications
System), GPRS (General Packet Radio Service, general packet radio service), CDMA2000 (Code
Division Multiple Access 2000, CDMA 2000), WCDMA (Wideband Code Division
Multiple Access, WCDMA), TD-SCDMA (Time Division-Synchronous Code
Division Multiple Access, TD SDMA), FDD-LTE (Frequency Division
Duplexing-Long Term Evolution, FDD Long Term Evolution) and TDD-LTE (Time Division
Duplexing-Long Term Evolution, time division duplex Long Term Evolution) etc..
WiFi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch electricity by WiFi module 102
Sub- mail, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Fig. 1 shows
Go out WiFi module 102, but it is understood that, it is simultaneously not belonging to must be configured into for mobile terminal, completely can be according to need
To be omitted in the essential scope for do not change invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
When under the isotypes such as formula, speech recognition mode, broadcast reception mode, by radio frequency unit 101 or WiFi module 102 it is receiving or
It is sound that the voice data stored in memory 109, which is converted into audio signal and exported,.Moreover, audio output unit 103
The audio output related to the specific function that mobile terminal 100 performs can also be provided (for example, call signal receives sound, disappeared
Breath receives sound etc.).Audio output unit 103 can include loudspeaker, buzzer etc..
A/V input blocks 104 are used to receive audio or video signal.A/V input blocks 104 can include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the static images or the view data of video obtained in image capture mode by image capture apparatus (such as camera) are carried out
Reason.Picture frame after processing may be displayed on display unit 106.Picture frame after the processing of graphics processor 1041 can be deposited
Storage is transmitted in memory 109 (or other storage mediums) or via radio frequency unit 101 or WiFi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (voice data), and can be voice data by such acoustic processing.Audio (voice) data after processing can
To be converted to the form output that mobile communication base station can be sent to via radio frequency unit 101 in the case of telephone calling model.
Microphone 1042 can implement various types of noises and eliminate (or suppression) algorithm to eliminate (or suppression) in reception and send sound
Caused noise or interference during frequency signal.
Mobile terminal 100 also includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity transducer can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axles) size of acceleration, size and the direction of gravity are can detect that when static, the application available for identification mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared ray sensor, will not be repeated here.
Display unit 106 is used for the information for showing the information inputted by user or being supplied to user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configures display panel 1061.
User input unit 107 can be used for the numeral or character information for receiving input, and produce the use with mobile terminal
The key signals input that family is set and function control is relevant.Specifically, user input unit 107 may include contact panel 1071 with
And other input equipments 1072.Contact panel 1071, also referred to as touch-screen, collect touch operation of the user on or near it
(for example user uses any suitable objects or annex such as finger, stylus on contact panel 1071 or in contact panel 1071
Neighbouring operation), and corresponding attachment means are driven according to formula set in advance.Contact panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
Contact coordinate is converted into, then gives processor 110, and the order sent of reception processing device 110 and can be performed.In addition, can
To realize contact panel 1071 using polytypes such as resistance-type, condenser type, infrared ray and surface acoustic waves.Except contact panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
Include but be not limited to physical keyboard, in function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc.
One or more, do not limit herein specifically.
Further, contact panel 1071 can cover display panel 1061, detect thereon when contact panel 1071 or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, contact panel 1071 and display panel
1061 be the part independent as two to realize the input of mobile terminal and output function, but in certain embodiments, can
Input and the output function of mobile terminal are realized so that contact panel 1071 and display panel 1061 is integrated, is not done herein specifically
Limit.
Interface unit 108 is connected the interface that can pass through as at least one external device (ED) with mobile terminal 100.For example,
External device (ED) can include wired or wireless head-band earphone port, external power source (or battery charger) port, wired or nothing
Line FPDP, memory card port, the port for connecting the device with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area
And storage data field, wherein, storing program area can storage program area, application program (such as the sound needed at least one function
Sound playing function, image player function etc.) etc.；Storage data field can store according to mobile phone use created data (such as
Voice data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the whole mobile terminal of connection
Individual part, by running or performing the software program and/or module that are stored in memory 109, and call and be stored in storage
Data in device 109, the various functions and processing data of mobile terminal are performed, so as to carry out integral monitoring to mobile terminal.Place
Reason device 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Device is managed, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is main
Handle photo management.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) to all parts power supply, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put
The function such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also will not be repeated here including bluetooth module etc..
For the ease of understanding the embodiment of the present invention, the communications network system being based on below to the mobile terminal of the present invention enters
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention, the communication network system
Unite as the LTE system of universal mobile communications technology, the UE that the LTE system includes communicating connection successively (User Equipment, is used
Family equipment) 201, E-UTRAN (Evolved UMTS Terrestrial Radio Access Network, evolved UMTS lands
Ground wireless access network) 202, EPC (Evolved Packet Core, evolved packet-based core networks) 203 and operator IP operation
204。
Specifically, UE201 can be above-mentioned terminal 100, and here is omitted.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connected with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide UE201 to EPC203 access.
EPC203 can include MME (Mobility Management Entity, mobility management entity) 2031, HSS
(Home Subscriber Server, home subscriber server) 2032, other MME2033, SGW (Serving Gate Way,
Gateway) 2034, PGW (PDN Gate Way, grouped data network gateway) 2035 and PCRF (Policy and
Charging Rules Function, policy and rate functional entity) 2036 etc..Wherein, MME2031 be processing UE201 and
The control node of signaling between EPC203, there is provided carrying and connection management.HSS2032 is all to manage for providing some registers
Such as the function of attaching position register (not shown) etc, and preserve some and used about service features, data rate etc.
The special information in family.All customer data can be transmitted by SGW2034, and PGW2035 can provide UE 201 IP
Address is distributed and other functions, and PCRF2036 is strategy and the charging control strategic decision-making of business data flow and IP bearing resources
Point, it selects and provided available strategy and charging control decision-making with charge execution function unit (not shown) for strategy.
IP operation 204 can include internet, Intranet, IMS (IP Multimedia Subsystem, IP multimedia
System) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art it is to be understood that the present invention not only
Suitable for LTE system, be readily applicable to other photo management systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And following new network system etc., do not limit herein.
The each embodiment of the inventive method is proposed based on the above-mentioned hardware configuration of mobile terminal 100, communications network system.
Embodiment 1
As shown in figure 3, the invention provides a kind of photo management method, this method comprises the following steps：
S101, photo, and the photograph that will be inquired about and select searched from local picture data storehouse by photo enquiry module
Piece is shown on screen；
S102, carry out image procossing to the selected photo by an intelligent identification module, and according to described image at
Reason result is that the selected photo is marked；
S103, classification storage carried out to all photos according to default class condition according to the label informations of all photos.
The photo management method of the application includes photo inquiry, there is provided quick search window, by input keyword,
Label information and classification information etc. rapidly obtain required target picture from local picture data storehouse；Intelligence can be passed through
Energy identification module carries out image procossing to photo, from the label information for obtaining photo in graphics process result, then presets again
Class condition, such as the personage in label information, scene, or it is shooting time, place etc., carrying out classification to all photos deposits
Storage, so that user can carry out easily inquiring about to captured photo, utilize.
Wherein, it is described that photo is searched from local picture data storehouse by photo enquiry module, and will inquire about and select
Photo after the step of being shown on screen, it is further comprising the steps of：
The selected photo is associated with address book contact list, selected photo is arranged with one
The head portrait of address book contact.
User can regard selected photo as the head portrait of address book contact, or pass through image recognition acquisition personage's
Label information is associated with address book contact, so, can rapidly be inquired about and the contact person by address book contact
Related all photos.
Wherein, it is described that photo is searched from local picture data storehouse by photo enquiry module, and will inquire about and select
Photo before the step of being shown on screen, it is further comprising the steps of：
The photo enquiry module and the intelligent identification module are preset, the photo enquiry module is integrally disposed in bat
According to shooting application program, the intelligent identification module is arranged on a cloud server.
In order to optimize terminal resource, intelligent identification module needs to carry out image procossing, is related to the knowledge data base of big data,
Therefore, intelligent identification module is combined with cloud server, realizes image procossing jointly, saved terminal resource.
As shown in figure 4, described search photo by photo enquiry module from local picture data storehouse, and will inquire about simultaneously
Selected photo is specifically included shown on screen the step of：
S201, the function interface in the local picture data storehouse set a photo to inquire about input field, input or selection
Keyword, classification information, label information；
S202, according to the keyword, the classification information or the label information from the local picture data storehouse
Inquire about and show the photo list inquired；
S203, click simultaneously select a certain photo in the photo list, and the photo is shown on screen.
A variety of retrieval modes are provided with by keyword, classification information, label information, key search, systematic searching with
And fuzzy search.
Fuzzy search refers to that search system inputs the synonym progress fuzzy search of keyword according to user automatically, so as to
Go out more retrieval result.Synonym is configured by the administration interface of system.It is synonymous that " computer ", which is such as configured with, with " computer "
After word, retrieve " computer ", then the photo comprising " computer " may also appear in retrieval result.Fuzzy search i.e. synonymous
Word and search, synonym here is that user is configured by " thesaurus " in " searching, managing ".User is in the retrieval page
In middle input synonym during any one word and search, as long as choosing " fuzzy search " check box, then the keyword is all synonymous
Word information is also all retrieved.
Keyword is exactly that user is inputted when using search input field, can at utmost summarize user to be searched
The word or word of the information content, it is generalization and the centralization of information.
Systematic searching, it is according to the class condition pre-set, is realized by classified catalogue in a certain classification subdirectory
Under photo retrieved, or directly retrieve it is a certain classification subdirectory under all photos.
As shown in figure 5, described carry out image procossing by an intelligent identification module to the selected photo, and according to institute
State processing result image includes for the specific steps that the selected photo is marked：
The photo selected described in S301, long-press triggers the intelligent identification module, by the selected photo upload to cloud
Hold server；
S302, the cloud server combination image recognition database carry out image procossing to the selected photo, and
Shown after described image result is fed back on screen.
As shown in fig. 7, user enters photograph album file；S1：Object to be identified in user's long-press photo, automatic frame choosing should
Object, if can recognize that the object, step S2 is performed, otherwise performs step S3；
Step S2：Prompt the user whether to need to obtain this object details and this object still added into address list head portrait,
Information is obtained if clicked on, performs step S2a, otherwise clicks on and this object is added into address list head portrait, performs step S2b；
Step S2a：The image of the object is uploaded to by cloud server by network and carries out image recognition and analysis；High in the clouds
Image analysis result is fed back to user by server；User checks image recognition result；Flow terminates.
Step S2b：Automatic spring contacts list；User selects contact person to be placed in contacts list；Flow knot
Beam.
Step S3：User's None- identified object is prompted, prompts whether this object to be added into address list head portrait.If it is,
Step S2b is performed, otherwise flow terminates.
When can not mark the object in click on area, network reason leads to not to upload onto the server, cloud server end
The None- identified object or network reason cause feedback analysis result to fail, and prompt message is sent on screen；Flow terminates.
Intelligent identification module relate to data base administration, computer vision, image procossing, pattern-recognition, information retrieval and
The subjects such as cognitive psychology, its correlation technique mainly include：Image data model, feature extracting method, index structure, phase
Like property measurement, query express pattern, search method etc..
The detection of similar pictures relates generally to character representation and similarity measurement this two classes key technology.Characteristics of image carries
Take with expression be the image processing techniques based on content basis.In broad terms, it is special to include text based for the feature of image
Sign (such as keyword, annotation) and visual signature (such as color, texture, shape) two classes.Because we need to handle similar diagram
The identification of piece, the extraction and expression of Image Visual Feature are mainly introduced here.
Visual signature can be divided into the visual signature of general visual signature (local/special) related to field again.The former uses
It is unrelated with the particular type or content of image in the shared feature of all images of description, mainly including color, texture and shape；
The latter is then established on the basis of to some prioris of described picture material (or hypothesis), is closely had with specific application
Close, such as the facial characteristics of people or fingerprint characteristic etc..Because the related characteristics of image in field principally falls into the research of pattern-recognition
Scope, and it is related to many professional domain knowledges, we are just no longer described in detail herein, and only consider general visual signature.
For some specific characteristics of image, generally there are a variety of different expressions again.Due in people's subjective understanding
Vary, for some feature and a so-called optimal expression way is not present.In fact, the difference of characteristics of image
Expression way features some properties of this feature from each different angle.
In image recognition, there should be the information for entering sense organ at that time, also to there is the information stored in memory.Only pass through
Process of the information of storage compared with current information, could realize and image is re-recognized.
The recognition capability of people is very strong.The change of image distance or the image active position on sense organ change
Become, can all cause the change of the size and shape of image on the retina.Even if in this case, people still can recognize
They go over the image that consciousness is crossed.Even image recognition can not be limited by sensory channel.For example, people can use word soon,
When others writes in his back, he can also recognize this word.
Image recognition is probably based on the principal character of image.Each image has its feature, and such as alphabetical A has
Individual point, P has a circle and there is individual acute angle etc. at Y center.The dynamic research of eye shows that sight always concentrates on figure during to image recognition
In the principal character of picture, that is, the place of image outline curvature maximum or contour direction suddenly change is concentrated on, these places
Information content it is maximum.And the scanning route of eyes is also always gone in another feature from a feature successively.As can be seen here,
In image recognition processes, perceptual mechanism must exclude the redundant information of input, extract the information of key out.Meanwhile in brain
There must be the mechanism for being responsible for integrating information, it can be the finish message obtained stage by stage into a complete consciousness map.
In mankind's image identification system, the identification to complicated image will often pass through the Information procession ability of different levels
Realize.For known figure, due to having grasped its principal character, it will be identified as a unit, and no longer
Pay attention to its details.This overall unit being made up of isolated unit material is called chunk, and each chunk is while quilt
Perceive.In the identification of written material, the units such as the stroke of Chinese character or radical can not only be formed a group by people
Block, and can block unit is identified in groups the word or phrase that often occur together.
In Computer Vision Recognition system, picture material is generally described with characteristics of image.In fact, based on calculating
The image retrieval of machine vision can also be divided into three steps of similar text search engine：Extraction feature, index build and
Inquiry.
Image recognition is a key areas of artificial intelligence.In order to work out the computer of simulation mankind's image recognition activity
Program, there has been proposed different image recognition models.Such as Template matching model.This model is thought, identifies some image,
There must be the memory pattern of this image in past experience, be called template.If current stimulation can be with the mould in brain
Plate matches, and this image is also just identified.Such as have an alphabetical A, if there is individual A templates in brain, alphabetical A's is big
Small, orientation, shape are all completely the same with this A template, and alphabetical A is just identified.This model is simple and clear, is also readily obtained
Practical application.But this model, which emphasizes that image must comply fully with the template in brain, can just be identified, and in fact people is not
The identification image completely the same with the template in brain is only capable of, can also identify the image not quite identical with template.For example, people are not
Be only capable of identifying some specific alphabetical A, can also identify block letter, handwritten form, poor direction, various words of different sizes
Female A.Meanwhile the image that people can identify is substantial amounts of, if each image identified has a corresponding mould in brain
Plate, and it is impossible.
In order to solve the problems, such as that Template matching model is present, Gestalt psychology scholar has also been proposed a prototype matching mould
Type.This model thinks that what is stored in long-term memory is not the numerous template to be identified, but image is some "
Similitude "." similitude " abstracted from image can be used as prototype, carry out inspection institute's image to be identified by it.If
A similar prototype can be found, this image is also just identified.This model is from nerve and remembers in the process sought
From the point of view of, it is all more preferably than Template matching model, and can also illustrate irregular to some, but some aspects are similar to prototype
The identification of image.But this model does not illustrate people is how similar stimulation to be distinguished and processed, it is also difficult to
It is accomplished in computer program.Therefore again it is proposed that a more complicated model, i.e. " general evil spirit " identification model.
Then general industry is processed in use, using industrial camera shooting picture using software according to picture ash jump
After identify useful information.The mathematics essence of problem of image recognition belongs to model space to the mapping problems in classification space.At present,
In the development of image recognition, mainly there are three kinds of recognition methods：Statistical-simulation spectrometry, configuration mode identification, Fuzzy Pattern Recognition.
Image segmentation is a key technology in image procossing, from the 1970s, its research has had the history of decades, one
Directly all paid much attention to by people, proposed thousands of partitioning algorithms, and this respect by means of various theories so far
Research be still actively carried out.The method of existing image segmentation has many kinds, there is threshold segmentation method, rim detection
Method, method for extracting region, with reference to dividing method of Specific Theory Tools etc..Have from the type of image to divide：Gray level image point
Cut, color images and Study Of Segmentation Of Textured Images etc..Early in nineteen sixty-five just it is proposed that detection boundary operator so that examine at edge
Survey generates many classic algorithms.But between recent two decades, with the image partition method based on histogram and wavelet transformation
Research computing technique, VLSI technologies develop rapidly, about image procossing in terms of research make great progress.Image point
Segmentation method combines some particular theories, Method and kit for, such as the image segmentation based on mathematical morphology, based on wavelet transformation
Segmentation, segmentation based on genetic algorithm etc..
The application passes through a series of image using existing image recognition technology and the knowledge data base prestored
After feature extraction, the characteristics of image extracted is matched with knowledge data base, so as to identify the personage in photo, field
The a variety of photo elements of scape, main scenery, photo style etc., generate label information.
Wherein, the label information according to all photos carries out classification storage according to default class condition to all photos
The step of after, in addition to：
Image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photo；It will be closed
Into photo preserve.
All similar photos are divided into by some sub-image areas by intelligent identification module, to each sub-image regions
Domain extraction convolutional network response, and super-pixel segmentation is carried out to sub-image area；Surpassed according to convolutional network response with described
The convolutional network response of the result extraction super-pixel of pixel segmentation collects feature；Of brightness, colourity and color component is set
With threshold values, the matching threshold values obtained in all sub-image areas closest to brightness, colourity and color component screens each
The sub-image area of position, the sub-image area screened is reconfigured to form synthesized photo.
Wherein, it is described that image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photograph
Piece；After the step of synthesized photo is preserved, in addition to：
Whether prompting deletes original similar photo.
As shown in fig. 6, when photograph taking is completed, there is the correspondingly file to local picture data storehouse in automatic classification
It is interior, select management function：
Photo is such as searched, enters local picture data storehouse, keyword, hand-written or phonetic entry are inputted in input field position
Search the keyword of photo；
Associated photo list is pushed out of file according to screening conditions, pushes several associated photos；Click on
Required target picture, poll-final.
Such as click on and merge similar photo, enter local picture data storehouse, closed automatically according to the similarity degree of photo
And in a file.Automatically retain aspect good in all similar photos and whether synthesize a best photo prompting
Delete original similar photo.Flow terminates.
Wherein, described image result includes personage, scene, background scenery and default photo style；In the figure
As after the step of being shown on screen, prompting user to select the choosing according to described image result after result feedback
Fixed photo classification storage.
Embodiment 2
As shown in figure 8, a kind of photo management device hardware configuration provided in an embodiment of the present invention, specifically, the photo
Managing device 40 comprises at least processor 41, memory 42 and data/address bus 43.Data/address bus 43 is used to realize processor 41
Connection communication between memory 42, memory 42 are used as a kind of computer-readable recording medium, can stored at least one
Computer program, these computer programs are available for processor 41 to read, compile and performed, so as to realize corresponding handling process.
In the present embodiment, memory 42 is used as a kind of computer-readable recording medium, wherein photo-managing program is stored with, the program
It is available for processor 41 to perform, the step of so as to realize following photo management method：
Photo is searched from local picture data storehouse by photo enquiry module, and the photo inquired about and selected is being shielded
Shown on curtain；
Image procossing is carried out to the selected photo by an intelligent identification module, and according to described image result
It is marked for the selected photo；
Classification storage is carried out to all photos according to default class condition according to the label information of all photos；
Image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photo；It will be closed
Into photo preserve.
In addition, same inventive concept is based on the photo management method of embodiment 1, in the photo management device of this implementation
Photo-managing program can also perform and realize other photo management method steps involved by embodiment 1, therefore the present embodiment is not
Repeat again.
Embodiment 3
Based on same inventive concept, another aspect of the present invention, there is provided a kind of computer-readable recording medium, the meter
Photo-managing program is stored with calculation machine readable storage medium storing program for executing, the photo-managing program realizes embodiment when being executed by processor
The step of photo management method in 1.
The present invention photo management method, device and computer-readable recording medium, by set photo enquiry module and
Intelligent identification module, the two functional modules are arranged on terminal applies or intelligent identification module is arranged on cloud server
In, target picture can be found out from magnanimity photo from local picture data storehouse by photo enquiry module, there is provided condition is looked into
Look for, fuzzy search and classification searching etc. quickly search mode；Intelligent identification module is by image recognition database to chosen
Photo is analyzed, and such as personage, scene, a variety of pictorial elements of background scenery are analyzed, and analysis result fed back to
Terminal, is label information with chosen photo associated storage, and user is still photo input marking by artificial set-up mode
Information, these label informations are used for photo inquiry and photo classification arranges storage, and these class conditions can be label information
Can also be that user individual is set.In addition, by the way that original similar photo, Neng Gouyou are merged and deleted to similar photo
Change terminal photo storage resource, additionally provide the mode that address book contact list associates with photo progress head portrait, optimize
The photo management of acquisition and application.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements not only include those key elements, and
And also include the other element being not expressly set out, or also include for this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Other identical element also be present in the process of key element, method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone, computer, clothes
Be engaged in device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of photo management method, it is characterised in that the described method comprises the following steps：
Photo is searched from local picture data storehouse by photo enquiry module, and by the photo inquired about and selected on screen
Display；
Image procossing is carried out to the selected photo by an intelligent identification module, and is institute according to described image result
Selected photo is stated to be marked；
Classification storage is carried out to all photos according to default class condition according to the label information of all photos.
A kind of 2. photo management method according to claim 1, it is characterised in that it is described by photo enquiry module from this
Photo is searched in ground picture data storehouse, and by the photo inquired about and selected after the step of being shown on screen, in addition to
Lower step：
The selected photo is associated with address book contact list, selected photo is arranged with a communication
Record the head portrait of contact person.
A kind of 3. photo management method according to claim 1, it is characterised in that it is described by photo enquiry module from this
Photo is searched in ground picture data storehouse, and by the photo inquired about and selected before the step of being shown on screen, in addition to
Lower step：
The photo enquiry module and the intelligent identification module are preset, the photo enquiry module is integrally disposed in take pictures and taken the photograph
As application program, the intelligent identification module is arranged on a cloud server.
A kind of 4. photo management method according to claim 1, it is characterised in that it is described by photo enquiry module from this
Search photo in ground picture data storehouse, and the photo inquired about and selected is specifically included shown on screen the step of：
Function interface in the local picture data storehouse sets a photo to inquire about input field, input or selection keyword, divides
Category information, label information；
From the local picture data library inquiry and shown according to the keyword, the classification information or the label information
The photo list inquired；
Click on and select a certain photo in the photo list, the photo is shown on screen.
5. a kind of photo management method according to claim 1, it is characterised in that described to pass through an intelligent identification module pair
The selected photo carries out image procossing, and is the tool that the selected photo is marked according to described image result
Body step includes：
The photo selected described in long-press triggers the intelligent identification module, by the selected photo upload to cloud server；
The cloud server combination image recognition database carries out image procossing to the selected photo, and by described image
Shown after result feedback on screen.
6. a kind of photo management method according to claim 1, it is characterised in that described to be believed according to the mark of all photos
After the step of breath carries out classification storage according to default class condition to all photos, in addition to：
Image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photo；Will be synthesized
Photo preserves.
7. a kind of photo management method according to claim 6, it is characterised in that described to pass through the intelligent identification module
Image procossing is carried out to all similar photos and synthesizes a photo；After the step of synthesized photo is preserved, also wrap
Include：
Whether prompting deletes original similar photo.
8. a kind of photo management method according to claim 5, it is characterised in that described image result includes people
Thing, scene, background scenery and default photo style；Described image result feedback after shown on screen the step of it
Afterwards, user is prompted to be stored according to the described image result selection selected photo classification.
9. a kind of photo management device, it is characterised in that it is total that the photo management device includes processor, memory and data
Line；
The data/address bus is used to realize the connection communication between processor and memory；
The processor is used to perform the photo-managing program stored in memory, to realize following steps：
Photo is searched from local picture data storehouse by photo enquiry module, and by the photo inquired about and selected on screen
Display；
Image procossing is carried out to the selected photo by an intelligent identification module, and is institute according to described image result
Selected photo is stated to be marked；
Classification storage is carried out to all photos according to default class condition according to the label information of all photos；
Image procossing is carried out to all similar photos by the intelligent identification module and synthesizes a photo；Will be synthesized
Photo preserves.
10. a kind of computer-readable recording medium, it is characterised in that photo pipe is stored with the computer-readable recording medium
Program is managed, the photo management as described in claim 1-8 any one is realized when the photo-managing program is executed by processor
The step of method.
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