CN105488111A - Image search method and device - Google Patents

Image search method and device Download PDF

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Publication number
CN105488111A
CN105488111A CN201510812410.0A CN201510812410A CN105488111A CN 105488111 A CN105488111 A CN 105488111A CN 201510812410 A CN201510812410 A CN 201510812410A CN 105488111 A CN105488111 A CN 105488111A
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China
Prior art keywords
image
label field
searched
module
search
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CN201510812410.0A
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Chinese (zh)
Inventor
潘龙
王广健
邹易兴
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Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
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Xiaomi Inc
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Priority to CN201510812410.0A priority Critical patent/CN105488111A/en
Publication of CN105488111A publication Critical patent/CN105488111A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Software Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention relates to an image search method and device. The method comprises the following steps: determining a tag field of an image to be searched; in an image database, according to the tag field of the image, searching a target image matched with the tag field of the image to be searched; and displaying the target image. Through the technical scheme, the image can be searched in the image database according to tag field of the image, so that a user can conveniently quickly search required images from a plurality of images, and manual search operations are reduced so as to save user time and improve the use efficiency of the user.

Description

Image search method and device
Technical field
The disclosure relates to technical field of image processing, particularly relates to a kind of image search method and device.
Background technology
At present, the picture in photograph album can sort according to time sequencing.When the picture number in photograph album is more, if user needs to search a pictures, then need to search successively in order, until the picture finding oneself to want.
Summary of the invention
Disclosure embodiment provides a kind of image searching method and device, comprises following technical scheme:
According to the first aspect of disclosure embodiment, a kind of image search method is provided, comprises:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
In one embodiment, describedly determine that the label field of image to be searched comprises:
Identify the label field of the image to be searched of user's input.
In one embodiment, describedly determine that the label field of image to be searched comprises:
Receive the instruction obtaining described image to be searched;
The label field of image to be searched according to described instruction identification.
In one embodiment, described method also comprises:
When taking image, obtain the acquisition parameters information of image;
According to the label field that described acquisition parameters information is described image interpolation correspondence.
In one embodiment, the described target image of described display comprises:
When described target image comprises multiple image, carry out descending display according to the shooting time of each image.
In one embodiment, described method also comprises:
Image in described image data base is classified according to label field, and shows all kinds of image successively according to default DISPLAY ORDER.
In one embodiment, described label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
According to the second aspect of disclosure embodiment, a kind of image search apparatus is provided, comprises:
Determination module, for determining the label field of image to be searched;
Search module, for the label field according to image in image data base, the target image that the label field of searching for the image described to be searched determined with described determination module matches;
Display module, for showing the described target image of described search module search.
In one embodiment, described determination module comprises:
First recognin module, for identifying the label field of the image to be searched that user inputs.
In one embodiment, described determination module comprises:
Receive submodule, for receiving the instruction obtaining described image to be searched;
Second recognin module, for the label field of image to be searched according to described instruction identification.
In one embodiment, described device also comprises:
Acquisition module, for when taking image, obtains the acquisition parameters information of image;
Field adds module, for according to described acquisition parameters information being the label field that described image adds correspondence.
In one embodiment, described display module comprises:
Sorting sub-module, for when described target image comprises multiple image, carries out descending display according to the shooting time of each image.
In one embodiment, described device also comprises:
Sort module, for being classified according to label field by the image in described image data base, and shows all kinds of image successively according to default DISPLAY ORDER.
In one embodiment, described label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
According to the third aspect of disclosure embodiment, a kind of image search apparatus is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
Technique scheme, can search for image in image data base according to the label field of image, like this, facilitate user's image that fast finding is wanted to oneself in numerous image, reduce the operation that user manually searches, thus save the time of user, improve the service efficiency of user.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the process flow diagram of the image search method according to an exemplary embodiment.
Fig. 2 A is the process flow diagram of the another kind of image search method according to an exemplary embodiment.
Fig. 2 B is the screenshot capture of a kind of picture search according to an exemplary embodiment.
Fig. 3 A is the process flow diagram of another image search method according to an exemplary embodiment.
Fig. 3 B-3C is the screenshot capture of the another kind of picture search according to an exemplary embodiment.
Fig. 4 is the process flow diagram of another image search method according to an exemplary embodiment.
Fig. 5 is the process flow diagram of another image search method according to an exemplary embodiment.
Fig. 6 is the process flow diagram of another image search method according to an exemplary embodiment.
Fig. 7 is the block diagram of the picture searching device according to an exemplary embodiment.
Fig. 8 is the block diagram of determination module in a kind of picture searching device according to an exemplary embodiment.
Fig. 9 is the block diagram of determination module in the another kind of picture searching device according to an exemplary embodiment.
Figure 10 is the block diagram of the another kind of picture searching device according to an exemplary embodiment.
Figure 11 is the block diagram of display module in a kind of picture searching device according to an exemplary embodiment.
Figure 12 is the block diagram of another the picture searching device according to an exemplary embodiment.
Figure 13 is the block diagram being applicable to picture searching device according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing 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 only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.
Disclosure embodiment provides a kind of image search method, and the method can be used in the equipment such as mobile terminal, as shown in Figure 1, and the method comprising the steps of S101-S103:
In step S101, determine the label field of image to be searched;
In step s 102, according to the label field of image in image data base, the target image that search matches with the label field of image to be searched;
In step s 103, target image.
In this embodiment, can search for image in image data base according to the label field of image, like this, facilitate user's image that fast finding is wanted to oneself in numerous image, reduce the operation that user manually searches, thus save the time of user, improve the service efficiency of user.
In one embodiment, label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
Wherein, the time corresponding when namely image capturing time takes image, as 2015-10-1.Place residing when namely image-capturing place takes image as Beijing, Shanghai, Guangzhou etc., certainly, also can be specified place, as No. XX, XX street, XX road, Haidian District, Beijing City etc.Image acquisition mode comprises auto heterodyne mode and non-auto heterodyne mode, and wherein, auto heterodyne and non-auto heterodyne mode can be distinguished by the difference of the position of the camera of use, generally can use front-facing camera, but not when autodyning, generally can use post-positioned pick-up head during auto heterodyne.Therefore, style of shooting front-facing camera can being taken the image obtained is defined as auto heterodyne mode, and the style of shooting of post-positioned pick-up head being taken the image obtained is defined as non-auto heterodyne mode.Classification in image belonging to the shooting body comprises people, animal, plant etc.Certainly, the classification of this label field and arrange and can also have alternate manner, these are only citing.
By technique scheme, user can carry out picture search according at least one item in above-mentioned label field.
Such as, when searching for according to image capturing time, the image capturing time of input can be received, as 2015-11-11, then according to this label field 2015-11-11, in image data base, search for the image that all shooting times are shooting on November 11st, 2015, and be shown to user, thus select for user.
Again such as, when searching for according to image-capturing place, the image-capturing place of input can be received, as Haidian District, Beijing City, then according to this label field Haidian District, Beijing City, in image data base, search for the image that all spots for photography are Haidian District, Beijing City, and be shown to user, thus select for user.Certainly, in order to the accuracy of searching, user can input address specifically, as Yuanmingyuan Park, Beijing, according to this Yuanmingyuan Park, label field Beijing, searches for the image that all spots for photography are Yuanmingyuan Park in image data base.
And when searching for according to image acquisition mode, the image acquisition mode of input can be received, as autodyned, then autodyne according to this label field, in image data base, search for the image of all auto heterodynes, and be shown to user, thus select for user.
And when the classification belonging to the shooting body in image is searched for, the classification belonging to the shooting body of input can be received, as face, then according to this label field face, in image data base, search for the image that all the shooting bodies are face, and be shown to user, thus select for user.
Certainly, in order to the picture that fast finding is wanted to user, can also search for according to multiple label field, thus improve the accuracy of search, improve the service efficiency of user further.As user wants that searching a shooting time is on November 11st, 2015, spot for photography is Yuanmingyuan Park, style of shooting is for autodyning, and the shooting body is the image of face, then can input multiple label field to search, namely " 2015-11-11 Yuanmingyuan Park face auto heterodyne " is inputted according to this label field, directly can find out shooting time in image data base is on November 11st, 2015, and spot for photography is Yuanmingyuan Park, and style of shooting is for autodyning, the shooting body is the image of face, for user.
As shown in Figure 2 A, in one embodiment, above-mentioned steps S101 comprises step S201:
In step s 201, the label field of the image to be searched of user's input is identified.
In this embodiment, the label field of the image to be searched that user inputs can be identified, and this label field is defined as the label field of image to be searched.Such as, as shown in Figure 2 B, in the image display interfaces that image data base is corresponding, receive " face " that user inputs in label field search box, after identifying it, using face as label field.Like this, user directly according to the feature oneself wanting the image searched to have, can find image fast.
As shown in Figure 3A, in one embodiment, above-mentioned steps S101 can also comprise step S301-S302:
In step S301, receive the instruction obtaining image to be searched;
In step s 302, according to the label field of instruction identification image to be searched.
In this embodiment, the instruction obtaining image to be searched can be received, and according to the label field of this instruction identification image to be searched.Such as, as shown in Figure 3 B, when getting the instruction of replacement head picture, identify that the label field of the image that this instruction will obtain is for autodyning, then can at the image showing all auto heterodynes on the head portrait page of correspondence.Certainly, as shown in Figure 3 C, also image can be carried out classification display according to auto heterodyne, personage etc. to image, and preferential display auto heterodyne image, thus facilitate user to select.
As shown in Figure 4, in one embodiment, said method also comprises step S401-S402:
In step S401, when taking image, obtain the acquisition parameters information of image;
In step S402, be that image adds corresponding label field according to acquisition parameters information.
In this embodiment, can when taking image, obtain the acquisition parameters information of image, as obtained the shooting time of image, spot for photography, style of shooting, the shooting body etc., thus be that image adds label field according to the acquisition parameters information obtained, image is searched so that follow-up according to label field.
The process of the acquisition parameters information of above-mentioned acquisition image can be that the corresponding application program called according to terminal or module obtain automatically, such as, determine that style of shooting is autodyne or non-auto heterodyne by calling of forward and backward camera, the logical identification to shooting image determines that photographed subject is face or scenery or animal etc.
Can, according to the corresponding relation between acquisition parameters information and label field, be the label field that image interpolation is corresponding after acquisition acquisition parameters information.And then the label field of this image and image can be added in image data base.
As shown in Figure 5, in one embodiment, above-mentioned steps S103 comprises step S501:
In step S501, when target image comprises multiple image, carry out descending display according to the shooting time of each image.
In this embodiment, when searching multiple target image, multiple target image can be carried out descending display according to shooting time, thus facilitating user to search according to the time.
As shown in Figure 6, in one embodiment, said method also comprises step S601:
In step s 601, the image in image data base is classified according to label field, and show all kinds of image successively according to default DISPLAY ORDER.
In this embodiment, the image in image data base can also be classified according to label field, and show according to default DISPLAY ORDER.Such as, as shown in Figure 3 C, image can be carried out classification display according to auto heterodyne, personage etc. to image, and preferential display auto heterodyne image, thus facilitate user to select.
Following is disclosure device embodiment, may be used for performing disclosure embodiment of the method.
Fig. 7 is the block diagram of a kind of picture searching device according to an exemplary embodiment, and this device can realize becoming the some or all of of electronic equipment by software, hardware or both combinations.As shown in Figure 7, this picture searching device comprises:
Determination module 71 is configured to the label field determining image to be searched;
Search module 72 is configured to the label field according to image in image data base, the target image that the label field of searching for the image to be searched determined with determination module 71 matches;
Display module 73 is configured to the target image showing search module 72 search.
In this embodiment, can search for image in image data base according to the label field of image, like this, facilitate user's image that fast finding is wanted to oneself in numerous image, reduce the operation that user manually searches, thus save the time of user, improve the service efficiency of user.
In one embodiment, label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
Wherein, the time corresponding when namely image capturing time takes image, as 2015-10-1.Place residing when namely image-capturing place takes image as Beijing, Shanghai, Guangzhou etc., certainly, also can be specified place, as No. XX, XX street, XX road, Haidian District, Beijing City etc.Image acquisition mode comprises auto heterodyne mode and non-auto heterodyne mode, and wherein, auto heterodyne and non-auto heterodyne mode can be distinguished by the difference of the position of the camera of use, generally can use front-facing camera, but not when autodyning, generally can use post-positioned pick-up head during auto heterodyne.Therefore, style of shooting front-facing camera can being taken the image obtained is defined as auto heterodyne mode, and the style of shooting of post-positioned pick-up head being taken the image obtained is defined as non-auto heterodyne mode.Classification in image belonging to the shooting body comprises people, animal, plant etc.
By technique scheme, user can carry out picture search according at least one item in above-mentioned label field.
Such as, when searching for according to image capturing time, the image capturing time of input can be received, as 2015-11-11, then according to this label field 2015-11-11, in image data base, search for the image that all shooting times are shooting on November 11st, 2015, and be shown to user, thus select for user.
Again such as, when searching for according to image-capturing place, the image-capturing place of input can be received, as Haidian District, Beijing City, then according to this label field Haidian District, Beijing City, in image data base, search for the image that all spots for photography are Haidian District, Beijing City, and be shown to user, thus select for user.Certainly, in order to the accuracy of searching, user can input address specifically, as Yuanmingyuan Park, Beijing, according to this Yuanmingyuan Park, label field Beijing, searches for the image that all spots for photography are Yuanmingyuan Park in image data base.
And when searching for according to image acquisition mode, the image acquisition mode of input can be received, as autodyned, then autodyne according to this label field, in image data base, search for the image of all auto heterodynes, and be shown to user, thus select for user.
And when the classification belonging to the shooting body in image is searched for, the classification belonging to the shooting body of input can be received, as face, then according to this label field face, in image data base, search for the image that all the shooting bodies are face, and be shown to user, thus select for user.
Certainly, in order to the picture that fast finding is wanted to user, can also search for according to multiple label field, thus improve the accuracy of search, improve the service efficiency of user further.As user wants that searching a shooting time is on November 11st, 2015, spot for photography is Yuanmingyuan Park, style of shooting is for autodyning, and the shooting body is the image of face, then can input multiple label field to search, namely " 2015-11-11 Yuanmingyuan Park face auto heterodyne " is inputted according to this label field, directly can find out shooting time in image data base is on November 11st, 2015, and spot for photography is Yuanmingyuan Park, and style of shooting is for autodyning, the shooting body is the image of face, for user.
As shown in Figure 8, in one embodiment, above-mentioned determination module 71 comprises:
First recognin module 81 is configured to the label field of the image to be searched identifying user's input.
In this embodiment, the label field of the image to be searched that user inputs can be identified, and this label field is defined as the label field of image to be searched.Such as, as shown in Figure 2 B, in the image display interfaces that image data base is corresponding, receive " face " that user inputs in label field search box, after identifying it, using face as label field.Like this, user directly according to the feature oneself wanting the image searched to have, can find image fast.
As shown in Figure 9, in one embodiment, above-mentioned determination module 71 comprises:
Receive submodule 91 to be configured to receive the instruction obtaining image to be searched;
Second recognin module 92 is configured to the label field according to instruction identification image to be searched.
In this embodiment, the instruction obtaining image to be searched can be received, and according to the label field of this instruction identification image to be searched.Such as, as shown in Figure 3 B, when getting the instruction of replacement head picture, identify that the label field of the image that this instruction will obtain is for autodyning, then can at the image showing all auto heterodynes on the head portrait page of correspondence.Certainly, as shown in Figure 3 C, also image can be carried out classification display according to auto heterodyne, personage etc. to image, and preferential display auto heterodyne image, thus facilitate user to select.
As shown in Figure 10, in one embodiment, said apparatus also comprises:
Acquisition module 101 is configured to, when taking image, obtain the acquisition parameters information of image;
Field is added module 102 and is configured to according to acquisition parameters information be that image adds corresponding label field.
In this embodiment, can when taking image, obtain the acquisition parameters information of image, as obtained the shooting time of image, spot for photography, style of shooting, the shooting body etc., thus be that image adds label field according to the acquisition parameters information obtained, image is searched so that follow-up according to label field.
The process of the acquisition parameters information of above-mentioned acquisition image can be that the corresponding application program called according to terminal or module obtain automatically, such as, determine that style of shooting is autodyne or non-auto heterodyne by calling of forward and backward camera, the logical identification to shooting image determines that photographed subject is face or scenery or animal etc.
Can, according to the corresponding relation between acquisition parameters information and label field, be the label field that image interpolation is corresponding after acquisition acquisition parameters information.And then the label field of this image and image can be added in image data base.
As shown in figure 11, in one embodiment, above-mentioned display module 73 comprises:
Sorting sub-module 111 is configured to when target image comprises multiple image, carries out descending display according to the shooting time of each image.
In this embodiment, when searching multiple target image, multiple target image can be carried out descending display according to shooting time, thus facilitating user to search according to the time.
As shown in figure 12, in one embodiment, said apparatus also comprises:
Sort module 121 is configured to the image in image data base to classify according to label field, and shows all kinds of image successively according to default DISPLAY ORDER.
In this embodiment, the image in image data base can also be classified according to label field, and show according to default DISPLAY ORDER.Such as, as shown in Figure 3 C, image can be carried out classification display according to auto heterodyne, personage etc. to image, and preferential display auto heterodyne image, thus facilitate user to select.
According to the third aspect of disclosure embodiment, a kind of image search apparatus is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, processor is configured to:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
Above-mentioned processor also can be configured to:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
In one embodiment, describedly determine that the label field of image to be searched comprises:
Identify the label field of the image to be searched of user's input.
In one embodiment, describedly determine that the label field of image to be searched comprises:
Receive the instruction obtaining described image to be searched;
The label field of image to be searched according to described instruction identification.
In one embodiment, said method also comprises:
When taking image, obtain the acquisition parameters information of image;
According to the label field that described acquisition parameters information is described image interpolation correspondence.
In one embodiment, the described target image of described display comprises:
When described target image comprises multiple image, carry out descending display according to the shooting time of each image.
In one embodiment, said method also comprises:
Image in described image data base is classified according to label field, and shows all kinds of image successively according to default DISPLAY ORDER.
In one embodiment, described label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
Figure 13 is a kind of block diagram for image search apparatus according to an exemplary embodiment, and this device is applicable to terminal device.Such as, device 1300 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
Device 1300 can comprise following one or more assembly: processing components 1302, storer 1304, power supply module 1306, multimedia groupware 1308, audio-frequency assembly 1310, the interface 1312 of I/O (I/O), sensor module 1314, and communications component 1316.
The integrated operation of the usual control device 1300 of processing components 1302, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 1302 can comprise one or more processor 1320 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 1302 can comprise one or more module, and what be convenient between processing components 1302 and other assemblies is mutual.Such as, processing components 1302 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1308 and processing components 1302.
Storer 1304 is configured to store various types of data to be supported in the operation of equipment 1300.The example of these data comprises for any application program of operation on device 1300 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 1304 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.
The various assemblies that electric power assembly 1306 is device 1300 provide electric power.Electric power assembly 1306 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1300 and be associated.
Multimedia groupware 1308 is included in the screen providing an output interface between described device 1300 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 one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1308 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 1300 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 1310 is configured to export and/or input audio signal.Such as, audio-frequency assembly 1310 comprises a microphone (MIC), and when device 1300 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 received can be stored in storer 1304 further or be sent via communications component 1316.In certain embodiments, audio-frequency assembly 1310 also comprises a loudspeaker, for output audio signal.
I/O interface 1312 is for providing interface between processing components 1302 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 1314 comprises one or more sensor, for providing the state estimation of various aspects for device 1300.Such as, sensor module 1314 can detect the opening/closing state of equipment 1300, the relative positioning of assembly, such as described assembly is display and the keypad of device 1300, the position of all right pick-up unit 1300 of sensor module 1314 or device 1300 assemblies changes, the presence or absence that user contacts with device 1300, the temperature variation of device 1300 orientation or acceleration/deceleration and device 1300.Sensor module 1314 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 1314 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 1314 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1316 is configured to the communication being convenient to wired or wireless mode between device 1300 and other equipment.Device 1300 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 1316 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 1316 also comprises near-field communication (NFC) module, to promote junction service.Such as, can 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 1300 can be realized, for performing said method 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.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 1304 of instruction, above-mentioned instruction can perform said method by the processor 1320 of device 1300.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of device 1300, make device 1300 can perform above-mentioned image search method, described method comprises:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
In one embodiment, describedly determine that the label field of image to be searched comprises:
Identify the label field of the image to be searched of user's input.
In one embodiment, describedly determine that the label field of image to be searched comprises:
Receive the instruction obtaining described image to be searched;
The label field of image to be searched according to described instruction identification.
In one embodiment, described method also comprises:
When taking image, obtain the acquisition parameters information of image;
According to the label field that described acquisition parameters information is described image interpolation correspondence.
In one embodiment, the described target image of described display comprises:
When described target image comprises multiple image, carry out descending display according to the shooting time of each image.
In one embodiment, described method also comprises:
Image in described image data base is classified according to label field, and shows all kinds of image successively according to default DISPLAY ORDER.
In one embodiment, described label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
Those skilled in the art, at consideration instructions and after putting into practice 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 the undocumented common practise in the art of the disclosure or conventional techniques means.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 amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.

Claims (15)

1. an image search method, is characterized in that, comprising:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
2. method according to claim 1, is characterized in that, describedly determines that the label field of image to be searched comprises:
Identify the label field of the image to be searched of user's input.
3. method according to claim 1, is characterized in that, describedly determines that the label field of image to be searched comprises:
Receive the instruction obtaining described image to be searched;
The label field of image to be searched according to described instruction identification.
4. method according to claim 1, is characterized in that, described method also comprises:
When taking image, obtain the acquisition parameters information of image;
According to the label field that described acquisition parameters information is described image interpolation correspondence.
5. method according to claim 1, is characterized in that, the described target image of described display comprises:
When described target image comprises multiple image, carry out descending display according to the shooting time of each image.
6. method according to claim 1, is characterized in that, described method also comprises:
Image in described image data base is classified according to label field, and shows all kinds of image successively according to default DISPLAY ORDER.
7. method as claimed in any of claims 1 to 6, is characterized in that, described label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
8. an image search apparatus, is characterized in that, comprising:
Determination module, for determining the label field of image to be searched;
Search module, for the label field according to image in image data base, the target image that the label field of searching for the image described to be searched determined with described determination module matches;
Display module, for showing the described target image of described search module search.
9. device according to claim 8, is characterized in that, described determination module comprises:
First recognin module, for identifying the label field of the image to be searched that user inputs.
10. device according to claim 8, is characterized in that, described determination module comprises:
Receive submodule, for receiving the instruction obtaining described image to be searched;
Second recognin module, for the label field of image to be searched according to described instruction identification.
11. devices according to claim 8, is characterized in that, described device also comprises:
Acquisition module, for when taking image, obtains the acquisition parameters information of image;
Field adds module, for according to described acquisition parameters information being the label field that described image adds correspondence.
12. devices according to claim 8, is characterized in that, described display module comprises:
Sorting sub-module, for when described target image comprises multiple image, carries out descending display according to the shooting time of each image.
13. devices according to claim 8, is characterized in that, described device also comprises:
Sort module, for being classified according to label field by the image in described image data base, and shows all kinds of image successively according to default DISPLAY ORDER.
Device in 14. according to Claim 8 to 13 described in any one, is characterized in that, described label field comprises following at least one item:
Classification belonging to the shooting body in image capturing time, image-capturing place, image acquisition mode, image.
15. 1 kinds of image search apparatus, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Determine the label field of image to be searched;
According to the label field of image in image data base, the target image that search matches with the label field of described image to be searched;
Show described target image.
CN201510812410.0A 2015-11-20 2015-11-20 Image search method and device Pending CN105488111A (en)

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Application publication date: 20160413