CN106372068A - Method and device for image search, and terminal - Google Patents
Method and device for image search, and terminal Download PDFInfo
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- CN106372068A CN106372068A CN201510427150.5A CN201510427150A CN106372068A CN 106372068 A CN106372068 A CN 106372068A CN 201510427150 A CN201510427150 A CN 201510427150A CN 106372068 A CN106372068 A CN 106372068A
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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
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
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Abstract
The invention provides a method and device for image search, and a terminal. The method comprises the steps that image features input by a user are acquired; a target image matched with the image features is searched in a database; and the target image is displayed. Through implementation of the invention, the matched target image can be searched in the database according to the image features input by the user and can then be displayed, so that all the target images displayed by the terminal to the user are matched with the image features input by the user, and thus the user can rapidly find photos containing specific figures or sceneries. Different from the prior art that all the images in the database are directly displayed to the user, the method and device provided by the invention avoid the defect that the user can determine the target image only after checking all the images one after another, solve the problem in inconvenience of the prior art for the image search, and enhance the user's use experience.
Description
Technical field
The present invention relates to image searches field, more particularly, to a kind of image lookup method and device, terminal.
Background technology
With the raising of mobile phone terminal photographic head configuration, and the extension of its store function and portability, it is got over
More to become the favor of user.User uses mobile phone photograph more and more extensive, stores therefore inside user mobile phone
Picture get more and more, how to be quickly found out that oneself required picture increasingly becomes user's headache
Problem.The method of traditional lookup picture is the thumbnail being generated according to picture, and user passes through slip screen
Mode, not only searches slow, and with duration, and thumbnail is too little, its characteristics of image again not exclusively, to user
Cause very big inconvenience.
Therefore, how to provide a kind of image lookup method solving conventional images lookup technology inconvenience problem,
It is those skilled in the art's technical problem urgently to be resolved hurrily.
Content of the invention
The invention provides a kind of image lookup method and device, terminal, to solve conventional images lookup technology
Inconvenient problem.
The invention provides a kind of image lookup method, comprising: obtain the characteristics of image of user input；Look into
Look for the target image with Image Feature Matching in data base；Show target image.
Further, the characteristics of image obtaining user input includes: the Image Acquisition image being selected according to user
Feature.
Further, the Image Acquisition characteristics of image being selected according to user: the parsing selected image of user,
Extract the image features that it comprises, selected according to user or default setting is from the characteristics of image extracting
In parameter, select one or more or all as characteristics of image.
Further, characteristics of image includes face information, the target with Image Feature Matching in searching data storehouse
Image includes: from the photo of terminal storage, picture, video, searches and comprises face information or comprise phase
Like the target picture of image features spent more than threshold value, picture, video, using Query Result as target
Image.
Further, also include: select the Part of photos taken training in data base, adjust grader, utilize and divide
Class device is classified to pictures all in data base.
Further, also include after the classification: recognition of face is carried out to all images comprising face, obtains
Take the face information of each image, represent and store face information.
The invention provides a kind of image searches device, comprising: acquisition module, for obtaining user input
Characteristics of image；Searching modul, for the target image with Image Feature Matching in searching data storehouse；Show
Module, for showing target image.
Further, acquisition module is used for the Image Acquisition characteristics of image selecting according to user.
Further, acquisition module is used for parsing the selected image of user, extracts the characteristics of image that it comprises
Parameter, selects according to user or default setting is from the image features extracting, and selects one or many
Individual or all as characteristics of image.
Further, characteristics of image includes face information, and searching modul is used for from the photo of terminal storage, figure
In piece, video, search and comprise face information or comprise the mesh that similarity is more than the image features of threshold value
Mark photo, picture, video, using Query Result as target image.
Further, also include sort module, divide for selecting the Part of photos taken in data base to train, adjusting
Pictures all in data base are classified by class device using grader.
Further, also include parsing module, for after the classification, entering to all images comprising face
Row recognition of face, obtains the face information of each image, marks and store face information.
The invention provides a kind of terminal, it includes the image of present invention offer and searches device.
Beneficial effects of the present invention:
The invention provides a kind of image lookup method, according to the characteristics of image of user input, in data base
Search the target image of coupling, and show, such terminal display to the target image of user is all and user institute
The Image Feature Matching of input, and then user just can quickly find and to comprise particular persons or scenery
Photo, rather than directly image all of in data base is all showed user as prior art, it is to avoid
User just can determine that the shortcoming of target image after checking one by one, solves conventional images lookup technology not
Convenient problem, enhances the experience of user.
Brief description
Fig. 1 searches the structural representation of device for the image that first embodiment of the invention provides；
The flow chart of the image lookup method that Fig. 2 provides for second embodiment of the invention；
The flow chart of the image lookup method that Fig. 3 provides for third embodiment of the invention.
Specific embodiment
Now combined by specific embodiment and by way of accompanying drawing, the present invention is made with further annotation explanation.
First embodiment:
Fig. 1 searches the structural representation of device for the image that first embodiment of the invention provides, as shown in Figure 1,
In the present embodiment, the image that the present invention provides is searched device 1 and is included:
Acquisition module 11, for obtaining the characteristics of image of user input；
Searching modul 12, for the target image with Image Feature Matching in searching data storehouse；
Display module 13, for showing target image.
In certain embodiments, the image that the acquisition module 11 in above-described embodiment is used for according to user selects obtains
Take characteristics of image.
In certain embodiments, the acquisition module 11 in above-described embodiment is used for parsing the selected image of user,
Extract the image features that it comprises, selected according to user or default setting is from the characteristics of image extracting
In parameter, select one or more or all as characteristics of image.
In certain embodiments, the characteristics of image in above-described embodiment includes face information, and searching modul 12 is used
Comprise face information or comprise similarity to be more than in, from the photo of terminal storage, picture, video, searching
The target picture of the image features of threshold value, picture, video, using Query Result as target image.
In certain embodiments, as shown in figure 1, image in above-described embodiment searches device 1 also includes point
Generic module 14, for selecting the Part of photos taken in data base to train, adjust grader, using grader pair
In data base, all pictures are classified.
In certain embodiments, as shown in figure 1, the image in above-described embodiment searches device 1 also includes solution
Analysis module 15, for after the classification, all images comprising face are carried out with recognition of face, obtains each
The face information of image, marks and stores face information.
Corresponding, the invention provides a kind of terminal, it includes the image of present invention offer and searches device 1.
Second embodiment:
The flow chart of the image lookup method that Fig. 2 provides for second embodiment of the invention, as shown in Figure 2,
In the present embodiment, the image lookup method that the present invention provides comprises the following steps:
S201: obtain the characteristics of image of user input；
S202: the target image with Image Feature Matching in searching data storehouse；
S203: show target image.
In certain embodiments, the characteristics of image of the acquisition user input in above-described embodiment includes: according to
The Image Acquisition characteristics of image that family selects.
In certain embodiments, the Image Acquisition characteristics of image being selected according to user in above-described embodiment: solution
The analysis selected image of user, extracts the image features that it comprises, and is selected according to user or acquiescence setting
Put from the image features extracting, select one or more or all as characteristics of image.
In certain embodiments, the characteristics of image in above-described embodiment includes face information, in searching data storehouse
Include with the target image of Image Feature Matching: from the photo of terminal storage, picture, video, search bag
Containing face information or comprise similarity and be more than the target picture of image features of threshold value, picture, video,
Using Query Result as target image.
In certain embodiments, the method in above-described embodiment also includes: selects the Part of photos taken in data base
Pictures all in data base are classified by training, adjustment grader using grader.
In certain embodiments, the method in above-described embodiment also includes after the classification: comprises people to all
The image of face carries out recognition of face, obtains the face information of each image, represents and store face information.
In above-mentioned all embodiments, involved data base includes but is not limited to: the figure of tag memory storage
Database as data base, user's storage image beyond the clouds.
In above-mentioned all embodiments, involved characteristics of image includes but is not limited to: face information, wind
Scape information, background information, camera information etc..
In conjunction with concrete application scene, the present invention is done with further annotation explanation.
3rd embodiment:
The present embodiment with image as photo, image information as face information as a example illustrate, Fig. 3 be this
The flow chart of the image lookup method that bright 3rd embodiment provides, from the figure 3, it may be seen that in the present embodiment, this
The image lookup method that invention provides comprises the following steps:
S301: set up training storehouse.
Select photo from data base, the photo of face and the photo of no face need to be included, set up and train storehouse.
Is classified in training storehouse, be divided into training set and test set, using training set, grader be trained, make
With test set, grader is adjusted, draws an optimal grader.
In actual applications, Face datection training can be instructed using now ripe a variety of methods
Practice, now than faster and maturation five positions usually according to face for the algorithm (two eyes, nose,
Two corners of the mouths) navigate to face information, then according to the hog/lbp characteristic vector conduct of these information retrievals
The information of face., from hundreds of to tens of thousands of, dimension is higher for the digit of characteristic vector, and precision is higher, but meter
Calculation amount is also bigger, for mobile phone, typically the dimension of characteristic vector is navigated to hundred.After training,
The form of optimum faceform, characteristic information text is saved, forms feature database.
Preserve the Face Image Database training out and feature database, if any ripe feature database, this step can
To omit.
S302: photo is carried out with classification parsing.
Mobile terminal storage face characteristic storehouse information, opens background program, carries out traversal to local picture and sweep
Retouch, first Face datection is carried out to every pictures, find out all of face information in picture, i.e. face characteristic
Five points position in the picture, then hog, lbp are converted into face according to the positional information of face
Characteristic vector, a characteristic vector corresponds to a face information, and all of characteristic vector is saved,
In view of scanning be one-off scanning and scan speed slow it is contemplated that open background scanning mode enter
OK.
S303: terminal shows the face information of photo to user.
When user requires to look up all photo related to someone, user's choosing selects to comprise its certain photo (conjunction
Shadow or independent photo), terminal is labeled the face information of this photo detecting, and presents to user,
Mark form have multiple, can select on face on picture draw rectangle frame be labeled, literary composition may also be employed
The mode of word is labeled, and the position of mark should facilitate user to be operated.
S304: obtain the face information of user input.
User selects a head portrait according to the information of mark, wants to search the picture related to this head portrait, after execution
Continuous lookup action, the face information of the head portrait that user selects is as the search criterion inputting.
S305: terminal is searched and is shown relevant picture.
Terminal, according to the input of user, preserves search criterion, according to the face information of preservation, carries out similar
Degree calculate it is considered to be feature be all multi-C vector, the mode of Similarity Measure can have multiple, can using than
The method of the cosine value vectorial compared with two, that is, two vectorial cosine values are bigger, then its similarity is higher,
Can be using comparing two vectorial distances, distance is nearer, then its similarity is higher, determines all similarities
Higher picture, as relevant picture.
Terminal can show photo by way of thumbnail, while showing photo, by the people of each photo
Face information also shows on its corresponding thumbnail, selects again for user, these users just can find
Photo that is all and specifying user-dependent personnel.
The present embodiment is scanned to local picture according to face recognition algorithms, obtains face information, and people
Face information is converted to the easy eigenvector information calculating and preserving, and these information are disposably preserved
Come.And the face detecting is presented to user by certain form, user wants to search the figure of someone correlation
Piece, then may be selected face and make a look up, terminal passes through Similarity Measure, returns the high picture of similarity to use
Family.This invention can make user when mobile phone storage picture is more, can be quickly found out across file
User wants the picture finding, and improves the experience of user.
In summary, by the enforcement of the present invention, at least there is following beneficial effect:
The invention provides a kind of image lookup method, according to the characteristics of image of user input, in data base
Search the target image of coupling, and show, such terminal display to the target image of user is all and user institute
The Image Feature Matching of input, and then user just can quickly find and to comprise particular persons or scenery
Photo, rather than directly image all of in data base is all showed user as prior art, it is to avoid
User just can determine that the shortcoming of target image after checking one by one, solves conventional images lookup technology not
Convenient problem, enhances the experience of user.
The above is only the specific embodiment of the present invention, not the present invention done with any pro forma restriction,
Every technical spirit according to the present invention embodiment of above is made arbitrarily simply modification, equivalent variations,
In conjunction with or modify, all still fall within the protection domain of technical solution of the present invention.
Claims (13)
1. a kind of image lookup method is it is characterised in that include:
Obtain the characteristics of image of user input；
Target image with described image characteristic matching in searching data storehouse；
Show described target image.
2. image lookup method as claimed in claim 1 is it is characterised in that described acquisition user input
Characteristics of image include: according to user select Image Acquisition described image feature.
3. image lookup method as claimed in claim 2 it is characterised in that described according to user's selection
Image Acquisition described image feature: the parsing selected image of user, extract the characteristics of image ginseng that it comprises
Number, selects according to user or default setting is from the image features extracting, and selects one or more
Or all as described image feature.
4. the image lookup method as described in any one of claims 1 to 3 is it is characterised in that described figure
As feature includes face information, include with the target image of described image characteristic matching in described searching data storehouse:
From the photo of terminal storage, picture, video, search and comprise described face information or to comprise similarity big
In the target picture of the image features of threshold value, picture, video, using Query Result as described target figure
Picture.
5. image lookup method as claimed in claim 4 is it is characterised in that also include: selects described
Part of photos taken training in data base, adjustment grader, using described grader to all in described data base
Picture is classified.
6. image lookup method as claimed in claim 5 is it is characterised in that also include after the classification:
All images comprising face are carried out with recognition of face, obtains the face information of each image, represent and store institute
State face information.
7. a kind of image searches device it is characterised in that including:
Acquisition module, for obtaining the characteristics of image of user input；
Searching modul, for the target image with described image characteristic matching in searching data storehouse；
Display module, for showing described target image.
8. image as claimed in claim 7 searches device it is characterised in that described acquisition module is used for
The Image Acquisition described image feature being selected according to user.
9. image as claimed in claim 8 searches device it is characterised in that described acquisition module is used for
The parsing selected image of user, extracts the image features that it comprises, and is selected according to user or gives tacit consent to
Setting, from the image features extracting, selects one or more or all as described image feature.
10. image as described in any one of claim 7 to 9 searches device it is characterised in that described figure
As feature includes face information, described searching modul is used for from the photo of terminal storage, picture, video,
Search comprise described face information or comprise similarity be more than threshold value the target picture of image features,
Picture, video, using Query Result as described target image.
11. images as claimed in claim 10 search device it is characterised in that also including sort module,
For selecting the Part of photos taken in described data base to train, adjust grader, using described grader to described
In data base, all pictures are classified.
12. images as claimed in claim 11 search device it is characterised in that also including parsing module,
For after the classification, all images comprising face are carried out with recognition of face, obtain the face letter of each image
Breath, marks and stores described face information.
A kind of 13. terminals are it is characterised in that include the image as described in any one of claim 7 to 12
Search device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510427150.5A CN106372068A (en) | 2015-07-20 | 2015-07-20 | Method and device for image search, and terminal |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510427150.5A CN106372068A (en) | 2015-07-20 | 2015-07-20 | Method and device for image search, and terminal |
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| CN201510427150.5A Pending CN106372068A (en) | 2015-07-20 | 2015-07-20 | Method and device for image search, and terminal |
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| CN107330859A (en) * | 2017-06-30 | 2017-11-07 | 广东欧珀移动通信有限公司 | A kind of image processing method, device, storage medium and terminal |
| CN107392138A (en) * | 2017-07-18 | 2017-11-24 | 上海与德科技有限公司 | A kind of display methods and device |
| CN108055400A (en) * | 2017-12-20 | 2018-05-18 | 维沃移动通信有限公司 | A kind of wallpaper switching method and mobile terminal |
| CN108304799A (en) * | 2018-01-30 | 2018-07-20 | 广州市君望机器人自动化有限公司 | A kind of face tracking methods |
| CN109359570A (en) * | 2018-09-30 | 2019-02-19 | 广东***职业学院 | A kind of method of video personage identification |
| CN109543579A (en) * | 2018-11-14 | 2019-03-29 | 杭州登虹科技有限公司 | Recognition methods, device and the storage medium of target object in a kind of image |
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| WO2019109246A1 (en) * | 2017-12-05 | 2019-06-13 | 深圳前海达闼云端智能科技有限公司 | Picture lookup method and device |
| CN111209425A (en) * | 2020-01-06 | 2020-05-29 | 闻泰通讯股份有限公司 | Image searching method and device, electronic equipment and computer readable storage medium |
| CN112101072A (en) * | 2019-06-18 | 2020-12-18 | 北京陌陌信息技术有限公司 | Face matching method, device, equipment and medium |
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Application publication date: 20170201 |