CN104166698A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN104166698A CN104166698A CN201410378358.8A CN201410378358A CN104166698A CN 104166698 A CN104166698 A CN 104166698A CN 201410378358 A CN201410378358 A CN 201410378358A CN 104166698 A CN104166698 A CN 104166698A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction 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
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Abstract
The invention discloses a data processing method and device. The data processing method comprises the steps that a single selection message or multiple selection messages input by the input end is/are received; when the single selection message is input by the input end, a type selection message input by the input end is obtained; when the multiple selection messages are input by the input end, the type selection message input by the input end is obtained, or type messages corresponding to the multiple selection messages are obtained; the other selection messages are obtained according to the type selection message or the type messages. According to the data processing method and device, various clustering methods are used, needed data are selected for a user in a batched mode in a user click or reminding mode, multiple pictures can be processed at one time, the operation frequency of the user is reduced, and user experience is improved.
Description
Technical field
The disclosure relates to data processing field, particularly picture processing field.
Background technology
Data processing is collection, storage, retrieval, processing, conversion and the transmission to data.Data are a kind of expression-forms to the fact, concept or instruction, can be processed by artificial or automation equipment.The form of data can be numeral, word, figure or sound etc.
Picture processing is by search utility, and the service of picture information relevant in specific region is provided to user.The object of picture searching is to find out own needed particular picture.
In correlation technique, exist taking a pictures as benchmark, search for the image processing method of similar picture, and be widely used in mobile phone, in the mobile terminal industries such as panel computer.
Summary of the invention
For overcoming the problem occurring in correlation technique, the disclosure provides a kind of data processing method and device.
The disclosure is utilized multiple cluster mode, and the mode that adopts user to click or point out helps user to select in batches desired data.Reduce user's operation, strengthen user and experience.
According to the first aspect of disclosure embodiment, a kind of data processing method is provided, described data processing method comprises:
Receive single selection information or multiple selection information of input end input;
When the input of described input end be single selection information time, obtain the type selecting information of input end input;
When the input of described input end be multiple selection information time, obtain the type selecting information of input end input, or obtain type information corresponding to described multiple selection information;
According to described type selecting information or type information, obtain all the other selection information.
In disclosure embodiment, described selection information comprises picture selection information, video selection information, file selection info.
In disclosure embodiment, described type selecting information comprises: the time is selection information, place selection information, image content selection information, face selection information in batches in batches in batches in batches.
In disclosure embodiment, described type selecting information is clustering information.
In disclosure embodiment, type selecting information or type information described in described basis, obtain all the other selection information and comprise:
According to described type selecting information or type information, obtain and meet described type selecting information or all the other selection information of type information;
According to described type selecting information or type information, prompting meets described type selecting information or all the other selection information of type information.
According to the second aspect of disclosure embodiment, a kind of data processing equipment is provided, described data processing equipment comprises:
Select information receiving unit, for receiving single selection information or multiple selection information of input end input;
Type selecting information acquisition unit, for the input of described input end be single selection information time, obtain the type selecting information of input end input, or when described input end input be multiple selection information time, obtain the type selecting information that input end is inputted
Type information acquiring unit, for obtaining type information corresponding to described multiple selection information;
All the other select information acquisition unit, for according to described type selecting information or type information, obtain all the other selection information.
In disclosure embodiment, described selection information comprises picture selection information, video selection information, file selection info.
In disclosure embodiment, described type selecting information comprises: the time is selection information, place selection information, image content selection information, face selection information in batches in batches in batches in batches.
In disclosure embodiment, described type selecting information is clustering information.
In disclosure embodiment, described all the other selection information acquisition unit, also for according to described type selecting information or type information, are obtained and are met described type selecting information or all the other selection information of type information; Or according to described type selecting information or type information, prompting meets described type selecting information or all the other selection information of type information.
According to the third aspect of disclosure embodiment, a kind of data processing equipment is provided, described data processing equipment comprises:
Processor;
For the storer of the executable instruction of storage of processor;
Wherein, described processor is configured to:
Receive single selection information or multiple selection information of input end input;
When the input of described input end be single selection information time, obtain the type selecting information of input end input;
When the input of described input end be multiple selection information time, obtain the type selecting information of input end input, or obtain type information corresponding to described multiple selection information;
According to described type selecting information or type information, obtain all the other selection information.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
Can single treatment plurality of pictures, reduce user's number of operations, promote user and experience.
Carry out the classification of picture in the mode of cluster, scientific and effective, can promote processing speed, reduces the stand-by period.
Allow client process result on further revise, meet client's actual demand, realize client from main control.
Should be understood that, it is only exemplary and explanatory that above general description and details are hereinafter described, and can not limit the disclosure.
Brief description of the drawings
Accompanying drawing is herein merged in instructions and forms the part of this instructions, shows and meets embodiment of the present disclosure, and be used from and explain principle of the present disclosure with instructions one.
Fig. 1 is according to the process flow diagram of the first data processing method shown in an exemplary embodiment;
Fig. 2 is according to the first data processing equipment schematic diagram shown in an exemplary embodiment;
Fig. 3 is according to the process flow diagram of the second data processing method shown in an exemplary embodiment;
Fig. 4 is according to the second data processing equipment schematic diagram shown in an exemplary embodiment;
Fig. 5 is according to the schematic diagram of the device 300 of a kind of data processing drawing embodiment illustrated in fig. 2;
Fig. 6 is according to the schematic diagram of the device 400 of a kind of data processing drawing embodiment illustrated in fig. 4;
Fig. 7 is the first display effect figure after the display module of the device 400 of a kind of data processing embodiment illustrated in fig. 6 is connected with display;
Fig. 8 is the second display effect figure after the display module of the device 400 of a kind of data processing embodiment illustrated in fig. 7 is connected with display;
Fig. 9 is according to the process flow diagram of the method for a kind of books processing shown in an exemplary embodiment;
Figure 10 is according to the process flow diagram of the method for a kind of books processing shown in an exemplary embodiment;
Figure 11 is according to the process flow diagram of the method for the first software processing shown in an exemplary embodiment;
Figure 12 is according to the process flow diagram of the method for the second software processing shown in an exemplary embodiment;
Figure 13 is according to the block diagram of a kind of device shown in an exemplary embodiment;
Figure 14 is according to the block diagram of a kind of device 1900 for data processing shown in an exemplary embodiment.
Embodiment
Here will at length describe exemplary embodiment, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless separately there is expression, the same numbers in different accompanying drawings represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they are only and the example of system and method as consistent in some aspects that described in detail in appended claims, of the present disclosure.
Fig. 1 is according to the process flow diagram of the first data processing method shown in an exemplary embodiment, and as shown in Figure 1, data processing method, comprises the following steps.
In step S11, receive single selection information or multiple selection information of input end input;
In disclosure embodiment, described selection information comprises picture selection information, video selection information, file selection info.
In step S12, when the input of described input end be single selection information time, obtain the type selecting information of input end input;
In step S13, when the input of described input end be multiple selection information time, obtain the type selecting information of input end input, or obtain type information corresponding to described multiple selection information;
In disclosure embodiment, described type selecting information comprises: the time is selection information, place selection information, image content selection information, face selection information in batches in batches in batches in batches.
In disclosure embodiment, described type selecting information is clustering information.
In step S14, according to described type selecting information or type information, obtain all the other selection information.
In disclosure embodiment, type selecting information or type information described in described basis, obtain all the other selection information and comprise:
According to described type selecting information or type information, obtain and meet described type selecting information or all the other selection information of type information;
According to described type selecting information or type information, prompting meets described type selecting information or all the other selection information of type information.
Fig. 2 is according to the first data processing equipment schematic diagram shown in an exemplary embodiment.With reference to Fig. 2, described data processing equipment comprises:
Select information receiving unit 201, for receiving single selection information or multiple selection information of input end input;
In disclosure embodiment, described selection information comprises picture selection information, video selection information, file selection info.
Type selecting information acquisition unit 202, for the input of described input end be single selection information time, obtain the type selecting information of input end input, or when described input end input be multiple selection information time, obtain the type selecting information that input end is inputted.
In disclosure embodiment, described type selecting information comprises: the time is selection information, place selection information, image content selection information, face selection information in batches in batches in batches in batches.
In disclosure embodiment, described type selecting information is clustering information.
Type information acquiring unit 203, for obtaining type information corresponding to described multiple selection information;
All the other select information acquisition unit 204, for according to described type selecting information or type information, obtain all the other selection information.
In disclosure embodiment, described all the other selection information acquisition unit 204, also for according to described type selecting information or type information, are obtained and are met described type selecting information or all the other selection information of type information; Or according to described type selecting information or type information, prompting meets described type selecting information or all the other selection information of type information.
About the system in above-described embodiment, wherein the concrete mode of modules executable operations have been described in detail in the embodiment about the method, will not elaborate explanation herein.
Fig. 3 is according to the process flow diagram of the second data processing method shown in an exemplary embodiment, and as shown in Figure 3, data processing method, comprises the following steps.
In step S21, receive the single or multiple information of input end input;
In step S22, judge whether described multiple information meets the rule of a certain rule type;
In step S23, if judgement is to show all the other information under single or multiple information and the described rule of described input end input;
In step S23, if judge noly, show single or multiple information and the information of the input of described input end.
Fig. 4 is according to the second data handling system schematic diagram shown in an exemplary embodiment.With reference to Fig. 2, this system comprises reception information module 221, and judgment rule module 222 shows rule module 223, non-display rule module 224.
This reception information module 221 is configured to the single or multiple information for receiving input end input;
This judgment rule module 222 is configured to for judging whether described multiple information meets the rule of a certain rule type;
This demonstration rule module 223 is configured to when being judged as YES, shows all the other information under single or multiple information and the described rule of described input end input;
This non-display rule module 224 is configured to when being judged as NO, shows single or multiple information and the information of described input end input.
Fig. 5 is according to the schematic diagram of the system 300 of a kind of data processing shown in an exemplary embodiment.System 300 can be mobile phone, computing machine, digital broadcast terminal, information receiving and transmitting equipment, game console, flat-panel devices, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 5, receive information assembly 304 and provide input interface for system 300, responsible external information is imported into and in system 300, is carried out analyzing and processing displaying etc.The assembly 304 of receiving information is connected with display 312.Can be to import external information into system 300 with touch screen mode or key mode.External information can be the pictures information that user selects, and can be also the plurality of pictures information that user selects.
Receive rule type assembly 308 and provide rule type input interface for system 300, the cluster mode of being responsible for that user is selected is imported into and in system 300, is carried out analyzing and processing.Described cluster mode comprises that batch that user clicks selects the type of button, and described batch is selected the type of button to comprise to select in batches, select in batches, select in batches, select in batches according to face according to image content according to place according to the time.The process of described cluster is pre-handled and was stored in described processing components 302 well in described processing components 302 before this.The form storage that described storage comprises showing.Described cluster comprises time-based cluster, the cluster based on place, the cluster based on image content, cluster based on face.The method of cluster has a lot, as based on hierarchical clustering, Kmeans etc., is then divided into one by one bunch according to the method for measuring similarity between picture, that the similarity measurement between picture has is time-based, based on place, based on image content.
1, time-based cluster mode
The time creating according to picture, the picture in picture library is polymerized to one by one bunch.
2, the cluster based on place
According to the GPS information of storing in picture exif, the picture in picture library is polymerized to one by one bunch
3, the cluster based on image content
First extract the proper vector of every pictures, then calculate the similarity between picture between two, be polymerized to one by one bunch according to existing clustering method.
4, the cluster based on face
First detect the face containing in picture, then adopt face recognition technology, the picture that contains same face is polymerized to one bunch, if a this pictures contains multiple faces, may multiple people bunch in.
One or more picture that the user that determination component 306 receives reception information assembly 304 selects, analyze relatively judgement with receiving the batch processing type that user that rule type assembly 308 receives selects, judge that picture that user selects is whether in the cluster of the batch processing type of user's selection.
Display module 310 is also connected with display 312, in the time that determination component 306 judges in the cluster of the batch processing type that picture that user selects selects user, display module 310 shows in all pictures under the cluster that the batch processing type selected according to user divides other pictures except the single or multiple pictures that user selects and described other pictures is stamped to grey hook.In the time that user clicks described other pictures, the ash of cancelling clicked picture hooks.Stamp after ash hook when described other pictures, user clicks described batch and selects button, and all described ashes hook and become red hook.Become after red hook when all described ashes hook, user clicks the picture with described red hook, and the described red hook on the picture that described user clicks is cancelled.
Processing components 302 is for the treatment of the data interaction between all component, and data are communicated with.
Native system 300 can single treatment plurality of pictures, reduces user's number of operations, promotes user and experiences.Mode that can also cluster is carried out the classification of picture, and scientific and effective, can promote processing speed, reduces the stand-by period.Can also allow client process result on further revise, meet client's actual demand, realize client from main control.
Fig. 6 is according to the schematic diagram of the system 400 of a kind of data processing shown in an exemplary embodiment.System 400 can be mobile phone, computing machine, digital broadcast terminal, information receiving and transmitting equipment, game console, flat-panel devices, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 6, receive information assembly 404 and provide input interface for system 400, responsible external information is imported into and in system 400, is carried out analyzing and processing displaying etc.The assembly 404 of receiving information is connected with display 412.Can be to import external information into system 400 with touch screen mode or key mode.External information can be the pictures information that user selects, and can be also the plurality of pictures information that user selects.
Judge that cluster component 408, by the plurality of pictures that receives the user that receives of information assembly 404 and select, carries out analyzing and processing judgement.Judge and receive plurality of pictures that the user that receives of information assembly 404 selects whether in a cluster, or whether in multiple clusters.
Display module 410 is also connected with display 412, in the time judging that cluster component 408 is judged as YES, display module 410 show according to judge that cluster component 408 judges cluster under all pictures in other pictures except the single or multiple pictures that user selects described other pictures are stamped to grey hook.In the time that user clicks described other pictures, the ash of cancelling clicked picture hooks.Stamp after ash hook when described other pictures, user clicks described batch and selects button, and all described ashes hook and become red hook.Become after red hook when all described ashes hook, user clicks the picture with described red hook, and the described red hook on the picture that described user clicks is cancelled.
Processing components 402 is for the treatment of the data interaction between all component, and data are communicated with.
Native system 400 can single treatment plurality of pictures, reduces user's number of operations, promotes user and experiences.Mode that can also cluster is carried out the classification of picture, and scientific and effective, can promote processing speed, reduces the stand-by period.And select batch processing type without user, and automatically analyze judgement, more reduce user's operational ton.Can also allow client process result on further revise, meet client's actual demand, realize client from main control.
What design sketch shown in Fig. 7 showed is display module 410 shows according to judge that cluster component 408 judges cluster under all pictures in other pictures except the single or multiple pictures of user's selection.This effect is equally applicable to system 300.
What the design sketch shown in Fig. 8 showed is that all described other pictures tick when showing that after described other pictures, user clicks described batch and selects button.This effect is equally applicable to system 300.
Fig. 9 is according to the process flow diagram of the method for a kind of books processing shown in an exemplary embodiment.
In step S31, user selects one or many books;
In step S32, user selects which kind of method to select books with;
In step S33, judge that books that user selects are whether in the cluster of a mode of selecting based on user;
In step S34, other books in this cluster are listed for user and selected;
In step S35, display reminding language " does not find books of the same type ".
Wherein, in step S32, the mode that user can select comprises the books that chosen content is close, selects the identical books of author, selects the books with age author with selected books author, selects the identical books of style, selects the close books of number of words.User chooses after mode and can click in batches and select button to select books.
In step S33, cluster comprises content-based cluster, based on author's cluster, based on the cluster in author's age, based on the cluster of style, based on the cluster of number of words.
In step S34, user can again click and select in batches button all to select the books of listing.User also can click unwanted books on the books of listing, and clicked books conceal and do not show.
Figure 10 is according to the process flow diagram of the method for a kind of books processing shown in an exemplary embodiment.
In step S41, user selects many books;
In step S42, whether these books that automatic decision user selects are in some clusters;
In step S43, other books in this cluster are listed for user and selected;
In step S44, display reminding language " does not find books of the same type ".
Wherein, in step S42, cluster comprises content-based cluster, based on author's cluster, based on the cluster in author's age, based on the cluster of style, based on the cluster of number of words.
In step S43, user can again click and select in batches button all to select the books of listing.User also can click unwanted books on the books of listing, and clicked books conceal and do not show.
Figure 11 is according to the process flow diagram of the method for the first software processing shown in an exemplary embodiment.
In step S51, user selects one or more software;
In step S52, user selects which kind of method to select software with;
In step S53, judge that software that user selects is whether in the cluster of a mode of selecting based on user;
In step S54, other softwares in this cluster are listed for user and selected;
In step S55, display reminding language " does not find software of the same type ".
Wherein, in step S52, the mode that user can select comprises the software that Selective type is similar, selects the identical software of publisher, selects the software that size is close.User chooses after mode and can click in batches and select button to select software.
In step S53, cluster comprises content-based cluster, based on the cluster of type, based on publisher's cluster, based on big or small cluster.
In step S54, user can again click and select in batches button all to select the software of listing.User also can click unwanted software on the software of listing, and clicked software conceals and do not show.
Figure 12 is according to the process flow diagram of the method for the second software processing shown in an exemplary embodiment.
In step S61, user selects many moneys software;
In step S62, whether these softwares that automatic decision user selects are in some clusters;
In step S63, other softwares in this cluster are listed for user and selected;
In step S64, display reminding language " does not find software of the same type ".
Wherein, in step S62, cluster comprises content-based cluster, based on the cluster of type, based on publisher's cluster, based on big or small cluster.
In step S63, user can again click and select in batches button all to select the software of listing.User also can click unwanted software on the software of listing, and clicked software conceals and do not show.
Figure 13 is according to the block diagram of a kind of device 800 for data processing shown in an exemplary embodiment.For example, device 800 can be mobile phone, computing machine, digital broadcast terminal, information receiving and transmitting equipment, game console, flat-panel devices, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Figure 13, device 800 can comprise following one or more assembly: processing components 802, storer 804, power supply module 806, multimedia groupware 808, audio-frequency assembly 810, the interface 812 of I/O (I/O), sensor module 814, and communications component 816.
The integrated operation of processing components 802 common control device 800, such as with demonstration, call, data communication, the operation that camera operation and record operation are associated.Treatment element 802 can comprise that one or more processors 820 carry out instruction, to complete all or part of step of above-mentioned method.In addition, processing components 802 can comprise one or more modules, is convenient to mutual between processing components 802 and other assemblies.For example, processing element 802 can comprise multi-media module, to facilitate mutual between multimedia groupware 808 and processing components 802.
Storer 804 is configured to store various types of data to be supported in the operation of equipment 800.The example of these data comprises for any application program of operation on device 800 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 804 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
Electric power assembly 806 provides electric power for installing 800 various assemblies.Electric power assembly 806 can comprise power-supply management system, one or more power supplys, and other and the assembly that generates, manages and distribute electric power to be associated for device 800.
Multimedia groupware 808 is included in the screen that an output interface is provided between described device 800 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises that one or more touch sensors are with the gesture on sensing touch, slip and touch panel.Described touch sensor is the border of sensing touch or sliding action not only, but also detects duration and the pressure relevant to described touch or slide.In certain embodiments, multimedia groupware 808 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 800 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 810 is configured to output and/or input audio signal.For example, audio-frequency assembly 810 comprises a microphone (MIC), and when device 800 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal receiving can be further stored in storer 804 or be sent via communications component 816.In certain embodiments, audio-frequency assembly 810 also comprises a loudspeaker, for output audio signal.
I/O interface 812 is for providing interface between processing components 802 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 814 comprises one or more sensors, is used to device 800 that the state estimation of various aspects is provided.For example, sensor module 814 can detect the opening/closing state of equipment 800, the relative positioning of assembly, for example described assembly is display and the keypad of device 800, the position of all right pick-up unit 800 of sensor module 814 or 800 1 assemblies of device changes, user is with device 800 existence that contact or do not have the temperature variation of device 800 orientation or acceleration/deceleration and device 800.Sensor module 814 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 814 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 814 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 816 is configured to be convenient to the communication of wired or wireless mode between device 800 and other equipment.Device 800 wireless networks that can access based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 816 receives broadcast singal or the broadcast related information from external broadcasting management system via broadcast channel.In one exemplary embodiment, described communication component 816 also comprises near-field communication (NFC) module, to promote junction service.For example, can be based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 800 can be realized by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components, for carrying out above-mentioned data processing method.
In the exemplary embodiment, also provide a kind of non-provisional computer-readable recording medium that comprises instruction, for example, comprised the storer 804 of instruction, above-mentioned instruction can have been carried out above-mentioned data processing method by the processor 820 of device 800.For example, described non-provisional computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage equipment etc.
A kind of non-provisional computer-readable recording medium, in the time that the instruction in described storage medium is carried out by the processor of mobile terminal, makes mobile terminal can carry out a kind of method of data processing.
Figure 14 is according to the block diagram of a kind of device 1900 for data processing shown in an exemplary embodiment.For example, device 1900 may be provided in a server.With reference to Fig. 9, device 1900 comprises processing components 1922, and it further comprises one or more processors, and by the memory resource of storer 1932 representatives, can for example, by the instruction of the execution of processing element 1922, application program for storing.In storer 1932, the application program of storage can comprise one or more each module corresponding to one group of instruction.In addition, processing components 1922 is configured to carry out instruction, to carry out above-mentioned data processing method.
Device 1900 can also comprise that a power supply module 1926 is configured to the power management of actuating unit 1900, and a wired or wireless network interface 1950 is configured to device 1900 to be connected to network, and input and output (I/O) interface 1958.Device 1900 operating systems that can operate based on being stored in storer 1932, for example Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
Those skilled in the art, considering instructions and putting into practice after disclosed herein disclosing, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised undocumented common practise or the conventional techniques means in the art of the disclosure.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendments and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (11)
1. a data processing method, is characterized in that, described data processing method comprises:
Receive single selection information or multiple selection information of input end input;
When the input of described input end be single selection information time, obtain the type selecting information of input end input;
When the input of described input end be multiple selection information time, obtain the type selecting information of input end input, or obtain type information corresponding to described multiple selection information;
According to described type selecting information or type information, obtain all the other selection information.
2. data processing method according to claim 1, is characterized in that, described selection information comprises picture selection information, video selection information, file selection info.
3. data processing method according to claim 1, is characterized in that, described type selecting information comprises: the time is selection information, place selection information, image content selection information, face selection information in batches in batches in batches in batches.
4. data processing method according to claim 1, is characterized in that, described type selecting information is clustering information.
5. data processing method according to claim 1, is characterized in that, type selecting information or type information described in described basis obtain all the other selection information and comprise:
According to described type selecting information or type information, obtain and meet described type selecting information or all the other selection information of type information;
According to described type selecting information or type information, prompting meets described type selecting information or all the other selection information of type information.
6. a data processing equipment, comprises the information of accepting input end input, it is characterized in that, described data processing equipment comprises:
Select information receiving unit, for receiving single selection information or multiple selection information of input end input;
Type selecting information acquisition unit, for the input of described input end be single selection information time, obtain the type selecting information of input end input, or when described input end input be multiple selection information time, obtain the type selecting information that input end is inputted
Type information acquiring unit, for obtaining type information corresponding to described multiple selection information;
All the other select information acquisition unit, for according to described type selecting information or type information, obtain all the other selection information.
7. data processing equipment according to claim 6, is characterized in that, described selection information comprises picture selection information, video selection information, file selection info.
8. data processing equipment according to claim 6, is characterized in that, described type selecting information comprises: the time is selection information, place selection information, image content selection information, face selection information in batches in batches in batches in batches.
9. data processing equipment according to claim 6, is characterized in that, described type selecting information is clustering information.
10. data processing equipment according to claim 6, it is characterized in that, described all the other selection information acquisition unit, also for according to described type selecting information or type information, are obtained and are met described type selecting information or all the other selection information of type information; Or according to described type selecting information or type information, prompting meets described type selecting information or all the other selection information of type information.
11. 1 kinds of data processing equipments, described data processing equipment comprises:
Processor;
For the storer of the executable instruction of storage of processor;
Wherein, described processor is configured to:
Receive single selection information or multiple selection information of input end input;
When the input of described input end be single selection information time, obtain the type selecting information of input end input;
When the input of described input end be multiple selection information time, obtain the type selecting information of input end input, or obtain type information corresponding to described multiple selection information;
According to described type selecting information or type information, obtain all the other selection information.
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