CN105279273B - Photo classification method and device - Google Patents
Photo classification method and device Download PDFInfo
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- CN105279273B CN105279273B CN201510727402.6A CN201510727402A CN105279273B CN 105279273 B CN105279273 B CN 105279273B CN 201510727402 A CN201510727402 A CN 201510727402A CN 105279273 B CN105279273 B CN 105279273B
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 210000005252 bulbus oculi Anatomy 0.000 claims abstract description 106
- 238000001514 detection method Methods 0.000 claims description 8
- 210000001508 eye Anatomy 0.000 claims description 5
- 210000003786 sclera Anatomy 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims 1
- 210000000554 iris Anatomy 0.000 description 62
- 230000006870 function Effects 0.000 description 6
- 241000385223 Villosa iris Species 0.000 description 3
- 238000000151 deposition Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
Classifications
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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
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/197—Matching; Classification
Abstract
The present invention, which provides a kind of photo classification method and device, the photo classification method, to be included：Detect whether to receive photographing instruction；If detecting photographing instruction, carry out photographing operation and obtain the first eyeball identification information and photo of active user；Classification storage is carried out to the photo according to the first eyeball identification information, to obtain multiple photo groups.The photo classification method and device of the present invention, by the way that photo is classified according to eyeball identification information, more facilitate so that user checks, improve search efficiency.
Description
Technical field
The present invention relates to the communications field, more particularly to a kind of photo classification method and device.
Background technology
With the development of smart mobile phone, the function of smart mobile phone is more and more, and in various functions, camera function is extensive
Ground uses.Taken pictures compared to camera, because mobile phone is more portable, particularly can easily carry out self-timer so that user opponent
The degree of dependence increase of machine, while also to the requirement more and more higher of the camera function of mobile phone.
Because the photo after existing take pictures mainly is classified according to time or place, therefore inconvenient user checks
With screening photo.Generally, user is higher to the photo attention rate for having me, but due to same user photo very
May not be to connect together, even if the photo in some time or some place connects together, it is also difficult to by different time or
The photo of the same people of person different location is all placed in a photo group, it is necessary to manually one by one when causing the user to check in the later stage
Checked, so as to spend more time, therefore search efficiency is reduced with great inconvenience to user.
The content of the invention
The embodiment of the present invention provides a kind of photo classification method and device, inconvenient to solve existing photo classification method
User searches photo, the low technical problem of search efficiency.
To solve the above problems, technical scheme provided by the invention is as follows：
The embodiment of the present invention provides a kind of photo classification method, and it includes：
Detect whether to receive photographing instruction；
If detecting photographing instruction, carry out photographing operation and obtain the first eyeball identification information and photograph of active user
Piece；
Classification storage is carried out to the photo according to the first eyeball identification information, to obtain multiple photo groups.
The embodiment of the present invention also provides a kind of photo classification device, and it includes：
Detection module, for detecting whether receiving photographing instruction；
Acquisition module, for when detecting photographing instruction, carrying out photographing operation and obtaining the first eyeball of active user
Identification information and photo；
Memory module is more to obtain for carrying out classification storage to the photo according to the first eyeball identification information
Individual photo group.
Compared to prior art, the photo classification method and device of the present embodiment, can be identified by the eyeball of photographer
Information contrast piece is classified, so as to facilitate user to be searched so that user's use is more convenient, improves search efficiency.
Brief description of the drawings
Fig. 1 is the flow chart for the photo classification method that the embodiment of the present invention one provides；
Fig. 2 is the flow chart for the photo classification method that the embodiment of the present invention two provides；
Fig. 3 is the flow chart of step S203 in the photo classification method that the embodiment of the present invention two provides；
Fig. 4 is the structural representation for the photo classification device that the embodiment of the present invention three provides；
Fig. 5 is the structural representation for the photo classification device that the embodiment of the present invention four provides；
Fig. 6 is the structural representation of memory module in the photo classification device that the embodiment of the present invention four provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Fig. 1 is refer to, Fig. 1 is the flow chart for the photo classification method that the embodiment of the present invention one provides.
The photo classification method of this preferred embodiment, including：
Step S101, detect whether to receive photographing instruction；
Step S102, if detecting photographing instruction, carry out photographing operation and obtain the first eyeball knowledge of active user
Other information and photo；
Step S103, classification storage is carried out to the photo according to the first eyeball identification information, to obtain multiple photo groups.
The photo classification method of this preferred embodiment ends at step S103.
The following detailed description of the idiographic flow of each step of the photo classification method of this preferred embodiment.
In step S101, terminal detects whether to receive photographing instruction, and the photographing instruction for example opens mobile phone for user
Camera function, press the operation for button of taking pictures, then pass to step S102.
In step s 102, if terminal detects photographing instruction, carry out photographing operation and obtain the of active user
One eyeball identification information and photo；The first eyeball identification information is included in the information such as iris information, sclera information, eyeprint information
At least one, for example terminal detect that user presses button of taking pictures, taken pictures, and photographer is obtained while taking pictures
Iris information, and take pictures terminate obtain the photo of photographer.Then pass to step S103.
In step s 103, terminal carries out classification storage according to the first eyeball identification information to the photo, more to obtain
Individual photo group.Such as photo is subjected to classification storage according to the iris information of photographer, corresponding to the iris information of same person
Photo is stored in same photo group.Because the iris information of different people is different, therefore photo is divided according to iris information
After class, the photo of same person can be caused to be stored in same photo group.
The photo classification method of this preferred embodiment, photo is classified according to eyeball identification information, so that user
It is more convenient to check, improves search efficiency of knowing clearly.
Fig. 2 is refer to, Fig. 2 is the flow chart for the photo classification method that the embodiment of the present invention two provides.
The photo classification method of this preferred embodiment, including：
Step S201, detect whether to receive photographing instruction；
If step S202, detecting photographing instruction, carry out photographing operation and obtain the first eyeball knowledge of active user
Other information and photo；
Step S203, classification storage is carried out to the photo according to the first eyeball identification information, to obtain multiple photo groups；
Step S204, searched and the first identity mark in default messaging application according to first identification information
Member corresponding to information is known, to judge whether to find member corresponding with first identification information；If find with
Member corresponding to first identification information, then perform step S205；If do not find and first identification information
Corresponding member, then perform step S206；
Step S205, when finding member corresponding with first identification information, first identity is believed
Photo group is sent to the member corresponding to breath；
Step S206, when not finding member corresponding with first identification information, display reminding information.
The photo classification method of this preferred embodiment ends at step S206.
The step S201 of this preferred embodiment to step S203 is identical to step S103 with the step S101 in embodiment one,
The correlation that the step S201 to step S203 of this preferred embodiment idiographic flow are referred in above-mentioned first preferred embodiment is retouched
State.
In step S204, terminal searched according to first identification information in default messaging application with this
The member that one identity identification information pair is answered；
For example, the default messaging application is for example the softwares such as QQ, wechat, in another example in step S203, by Zhang San
Photo group be named as " Zhang San ", then search whether " Zhang San " member be present in QQ address lists；If find QQ address lists
In have " Zhang San ", then perform step S205；If do not found, step S206 is performed.Preferably, the naming method of photo
Corresponded with the naming method of QQ address lists, it can be ensured that search the accuracy and uniqueness of user.In step S205, eventually
Photo group corresponding to first identification information is sent to the member by end.Such as there is " Zhang San " in QQ address lists are found
During member, the photo group of " Zhang San " is sent to " Zhang San " member in QQ address lists by terminal.
In step S206, terminal display reminding information, such as terminal show the information for not finding corresponding member.
In order to can determine whether to send the pictures to according to the wish of user the correspondence in default messaging application into
Member, it first can also send photo after the completion of photo classification storage to user and share prompt message, be i.e. before step S204, also
Including：
A, prompt message is shared in generation, and shows that this shares prompt message, and this shares prompt message whether to carry out photo
Share operation；
B, the selection instruction that user shares prompt message feedback according to this is received；
C, when the selection instruction shares operation to receive photo, then this is performed according to first identification information pre-
If the step of member corresponding with first identification information is searched in messaging application.
Such as in step, terminal shares prompt message to user's generation, and shows that this shares prompt message, and this is shared
Whether prompt message can be " sending the photo group into default messaging application ", then pass to step B；In step B
In, user shares prompt message according to this, and selection is or no, and selection result is fed back into terminal, then passes to step C；
In step C, when user selection be to send the photo group into default messaging application when, then perform step again
S204。
Preferably, as shown in figure 3, step S203 in the photo classification method of the present embodiment, can also comprise the following steps.
Step S301, by all default eyeball identification informations in the first eyeball identification information and presupposed information list
Matched；
Step S302, judge the first eyeball identification information is with the default eyeball identification information in presupposed information list
No matching；If the first eyeball identification information and one in the presupposed information list default eyeball identification information match,
Then perform step S303；If the first eyeball identification information is believed with all default eyeball identifications in the presupposed information list
Breath mismatches, then performs step S304；
Step S303, as one in the first eyeball identification information and the presupposed information list, the default eyeball identification is believed
During breath matching, by photo group corresponding to photo storage corresponding to the first eyeball identification information to the default eyeball identification information
In；
Step S304, when all default eyeball identifications in the first eyeball identification information and the presupposed information list are believed
Breath mismatches, by the first eyeball identification information storage into the presupposed information list, and according to the first eyeball identification information
Establish new photo group.
The following detailed description of the idiographic flow of above steps.
In step S301, terminal is by all default eyeballs in the first eyeball identification information and presupposed information list
Identification information is matched；Wherein the presupposed information list includes the default eyeball identification information and presets eyeball identification with this
Photo group corresponding to information；Such as the presupposed information list is previously stored with multiple iris informations and multiple photo groups, each
The iris information of the corresponding user of photo group；
In step s 302, terminal judges that the first eyeball identification information is known with the default eyeball in presupposed information list
Whether other information matches；Specifically, when taking pictures, the iris information of this acquisition of taking pictures and the multiple irises prestored are believed
Breath is matched, if this is taken pictures, whether the matching degree of multiple iris informations of the iris information of acquisition with prestoring reaches
To parameter preset, parameter preset is for example 80%；The iris information of acquisition and the multiple irises prestored if this is taken pictures
The matching degree of information reaches parameter preset, then goes to step S303；If this is taken pictures, the iris information of acquisition with depositing in advance
The matching degree of multiple iris informations of storage is not up to parameter preset, then goes to step S304；
In step S303, terminal is by photo storage corresponding to the first eyeball identification information to default eyeball identification letter
In photo group corresponding to breath；Because the iris information that matching result in step s 302 is this acquisition of taking pictures is with prestoring
The matching degree of an iris information reach parameter preset, show that the iris information is had stored in presupposed information list,
Therefore in photo group corresponding to the iris information directly prestored photo storage to this.
In step s 304, terminal stores the first eyeball identification information into the presupposed information list, and according to this
First eyeball identification information establishes new photo group；Due to the iris that matching result in step s 302 is this acquisition of taking pictures
The matching degree of information and all iris informations prestored all be not up to parameter preset, show the iris information be it is new,
I.e. the iris information is not stored in presupposed information list, therefore in order to which the later stage checks that photo is more convenient, it is necessary to update pre-
If information list, such as by iris information storage into presupposed information list, and new photograph is established according to the iris information
Piece group.
Certainly, in order to more easily search sorted photo.
Preferably, default eyeball identification information can be bound with default identification information, i.e. the presupposed information
List also includes the pass between default identification information and the default eyeball identification information and the default identification information
Connection relation；The name that wherein the default identification information is for example pre-entered for user either letter or digital number etc.
Deng for facilitating user to distinguish different eyeball identification informations.
Preferably, after default eyeball identification information and default identification information being bound, above-mentioned steps S303
It is specifically as follows：
If all default eyeball identification informations in the first eyeball identification information and the presupposed information list are not
Match somebody with somebody, then receive the first identification information, and the first eyeball identification information is established with first identification information and associated
After store in the presupposed information list.
For example for Zhang San in self-timer, terminal obtains the iris information of Zhang San, and all iris informations with prestoring
Match somebody with somebody, it is found that the iris information of Zhang San and the matching degree of all iris informations prestored are all not up to parameter preset, that is, open
Three iris information is not stored in presupposed information list, and now terminal notifying user Zhang San inputs the first identity letter
Breath, such as input " Zhang San " are used as first identification information, and then " Zhang San " is associated by terminal with the iris information
After store in presupposed information list.
So can be so that user easily searches photo, under the experience for improving user.
The above method is specifically as follows, and when taking pictures, can start the eye recognition of mobile terminal, and each photo is entered
Pedestrian's eye information is identified, while human eye information and name are bound, the photo progress that can be pulled up a horse after having clapped to user
Stored according to personal ledger.When checking in the later stage, name is simply entered, for example " Zhang San ", can be to show " Zhang San " in hand
All photographs on machine.It is accurate efficient due to using eyeball information classification.When making user's lookup next time photograph, very soon
Victory is convenient.Simultaneously can also be after the completion of classification storage, backstage logs in QQ, and the photo is sent into corresponding member in QQ packets,
The packet type of QQ user is consistent with the mode classification of photo.
The photo classification method of this preferred embodiment, can will be according to default identity mark on the basis of first embodiment
Know the photo after information classification, be sent to member corresponding to default application program, so that user is more convenient, improves information and hand over
Mutual property.
Fig. 4 is refer to, Fig. 4 is the structural representation for the photo classification device that the embodiment of the present invention three provides.This is preferred real
Applying the photo classification device 40 of example includes detection module 41, acquisition module 42, memory module 43；Detection module 41, for detecting
Whether photographing instruction is received；Acquisition module 42, for when detecting photographing instruction, carrying out photographing operation and obtaining current use
The first eyeball identification information and photo at family；Memory module 43, for being carried out according to the first eyeball identification information to the photo
Classification storage, to obtain multiple photo groups.
When the photo classification device 40 of this preferred embodiment uses：
Detection module 41 detects whether to receive photographing instruction first, and the photographing instruction for example opens the bat of mobile phone for user
According to function, the operation for button of taking pictures is pressed.
Afterwards, if detection module 41 detects photographing instruction, acquisition module 42 carries out photographing operation and obtained current
The the first eyeball identification information and photo of user；The first eyeball identification information includes iris information, sclera information, eyeprint information
Etc. at least one of information, for example detection module 41 detects that user presses button of taking pictures, and is taken pictures, and acquisition module
42 obtain the iris information of photographer while taking pictures, and terminate to obtain the photo of photographer taking pictures.
Afterwards, the first eyeball identification information that memory module 43 obtains according to acquisition module 42 is classified to the photo
Storage, to obtain multiple photo groups.Such as photo is carried out classification storage by memory module 43 according to the iris information of photographer, together
Photo corresponding to the iris information of one people is stored in same photo group.Because the iris information of different people is different, therefore press
Take after iris information classified picture, the photo of same person can be caused to be stored in same photo group.
The photo classification device of this preferred embodiment, photo is classified according to eyeball identification information, so that user
It is more convenient to check, improves search efficiency of knowing clearly.
Fig. 5 is refer to, Fig. 5 is the structural representation for the photo classification device that the embodiment of the present invention four provides.This is preferred real
Applying the photo classification device 50 of example includes detection module 51, acquisition module 52, memory module 53；On the basis of 3rd embodiment
Also include display module 54, receiving module 55, searching modul 56, sending module 57；The display module 54, for according to this
Before one identification information searches member corresponding with first identification information in default messaging application, generation
Share prompt message, and show and share prompt message, this shares prompt message is whether to carry out photo to share operation；The reception mould
Block 55, for receive user according to this share prompt message feedback selection instruction；The searching modul 56, for according to this first
Identification information searches member corresponding with first identification information in default messaging application；The sending module
57, if for finding member corresponding with first identification information, by corresponding to first identification information
Photo group is sent to the member.
The photo classification device 50 of the present embodiment is when in use：
First, prompt message is shared in the generation of display module 54, and shows that this shares prompt message, and this shares prompt message can
Think " whether sending the photo group into default messaging application ".
Afterwards, receiving module 55 receives the selection instruction that user shares prompt message feedback according to this, i.e. user's selection is
It is or no.Such as user shown according to display module 54 this share prompt message, selection is or no and selection result is anti-
Feed terminal.
Then, what receiving module 55 received user's selection is to send the photo group into default messaging application
When, then searching modul 56 is searched and first identity according to first identification information in default messaging application
Member corresponding to information；
For example, the default messaging application is for example the softwares such as QQ, wechat, in another example memory module 53 is by the photograph of Zhang San
Piece group is named as " Zhang San ", then searching modul 54 searches whether " Zhang San " member be present in QQ address lists；
Preferably, the naming method of photo and the naming method of QQ address lists correspond, it can be ensured that search user's
Accuracy and uniqueness.
Afterwards, photo group corresponding to first identification information is sent to the member by sending module 57.Such as terminal
" Zhang San " member photo group of " Zhang San " being sent in QQ address lists.
Preferably, as shown in fig. 6, the memory module 53 in the present embodiment can also include：
Matching unit 61, the first memory cell 62, the second memory cell 63；
The matching unit 61, for all this in the first eyeball identification information and presupposed information list to be preset into eyeballs
Identification information is matched；
First memory cell 62, for this to be pre- when the first eyeball identification information and one in the presupposed information list
If eyeball identification information matches, by photo storage corresponding to the first eyeball identification information to the default eyeball identification information pair
In the photo group answered；Wherein the presupposed information list includes the default eyeball identification information and presets eyeball identification information with this
Corresponding photo group.
Second memory cell 63, for this to be pre- with all in the presupposed information list when the first eyeball identification information
If eyeball identification information mismatches, by the first eyeball identification information storage into the presupposed information list, and according to this
One eyeball identification information establishes new photo group.
First, matching unit 61 knows all default eyeballs in the first eyeball identification information and presupposed information list
Other information is matched；Wherein the presupposed information list includes the default eyeball identification information and presets eyeball identification letter with this
Photo group corresponding to breath；Such as the presupposed information list is previously stored with multiple iris informations and multiple photo groups, Mei Gezhao
The iris information of the corresponding user of piece group；
Specifically, when taking pictures, matching unit 61 is by the iris information of this acquisition of taking pictures and multiple rainbows for prestoring
Film information is matched, if this is taken pictures, the matching degree of multiple iris informations of the iris information of acquisition with prestoring is
No to reach parameter preset, parameter preset is for example 80%；
Afterwards, when the matching result of matching unit 61 is the iris information of this acquisition of taking pictures and the multiple rainbows prestored
When the matching degree of film information reaches parameter preset, the first memory cell 62 deposits photo corresponding to the first eyeball identification information
This is stored up to preset in photo group corresponding to eyeball identification information；Because the matching result of matching module 61 is this acquisition of taking pictures
The matching degree of iris information and the iris information prestored reaches parameter preset, shows that the iris information is stored
In presupposed information list, therefore in photo group corresponding to the iris information for directly prestoring photo storage to this.
Finally, when the matching result of matching unit 61 is the iris information of this acquisition of taking pictures and the multiple rainbows prestored
When the matching degree of film information is not up to parameter preset, second memory cell 63 arrives the first eyeball identification information storage should
In presupposed information list, and new photo group is established according to the first eyeball identification information；Due to the matching knot of matching module 61
Fruit is all not up to parameter preset for the iris information of this acquisition of taking pictures and the matching degree of all iris informations prestored,
It is new to show the iris information, i.e., the iris information is not stored in presupposed information list, therefore in order to which the later stage checks photograph
Piece is more convenient, it is necessary to update presupposed information list, such as by iris information storage into presupposed information list, and according to
The iris information establishes new photo group.
Certainly, in order to more easily search sorted photo.
Preferably, the presupposed information list also includes default identification information and the default eyeball identification information and should
Incidence relation between default identification information；
Second memory cell 63, it is additionally operable to when all in the first eyeball identification information and the presupposed information list should
When default eyeball identification information mismatches, then receive the first identification information, and by the first eyeball identification information and this
Storage is into the presupposed information list after one identification information establishes association.
For example for Zhang San in self-timer, acquisition module 52 obtains the iris information of Zhang San, and matching unit 61 is by the iris and in advance
All iris informations matching first stored, finds the iris information of Zhang San and the matching degree of all iris informations prestored
Parameter preset is all not up to, i.e. the iris information of Zhang San is not stored in presupposed information list, now prompts user Zhang San defeated
Enter the first identification information, such as input " Zhang San " is used as first identification information, then the second memory cell 63 will
Storage is into presupposed information list after " Zhang San " is associated with the iris information.So can be so that user easily searches photograph
Piece, under the experience for improving user.
The photo classification device of this preferred embodiment, can will be according to default identity mark on the basis of 3rd embodiment
Know the photo after information classification, be sent to member corresponding to default application program, so that user is more convenient, raising, which is known clearly, looks into
Look for efficiency.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable recording medium, storage
Medium can include：Read-only storage (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
A kind of photo classification method and device provided above the embodiment of the present invention is described in detail, herein
Apply specific case to be set forth the principle and embodiment of the present invention, the explanation of above example is only intended to help
Understand the method and its core concept of the present invention；Meanwhile for those skilled in the art, according to the thought of the present invention, having
There will be changes in body embodiment and application, in summary, this specification content should not be construed as to the present invention
Limitation.
Claims (3)
- A kind of 1. photo classification method, it is characterised in that including：Detect whether to receive photographing instruction；If detecting photographing instruction, carry out photographing operation and start the eye recognition of mobile terminal simultaneously to obtain current use The first eyeball identification information and photo at family, wherein the First view ball identification information include iris information, sclera information and At least one of eyeprint information；The first eyeball identification information is matched with all default eyeball identification informations in presupposed information list；If the first eyeball identification information and a default eyeball identification information in the presupposed information list Match somebody with somebody, then photo group corresponding to the default eyeball identification information is arrived into photo storage corresponding to the first eyeball identification information In, to cause the photo of same user to be stored in same photo group, obtain multiple photo groups；Wherein, the name side of photo group The naming method of formula and default messaging application corresponds；Prompt message is shared in generation, and shares prompt message described in display, described to share prompt message whether to carry out photo point Enjoy operation；User is received according to the selection instruction for sharing prompt message feedback；When the selection instruction shares operation to receive photo, search whether to exist in the default messaging application with The name identical member of photo group, if so, the photo group of the member then is sent into the member；If all default eyeball identification informations in the first eyeball identification information and the presupposed information list are not Matching, then receive the first identification information, and the first eyeball identification information and first identification information are built Storage is into the presupposed information list after vertical association, and new photo group is established according to the first eyeball identification information；Wherein described presupposed information list include multiple default eyeball identification informations and with each default eyeball identification information pair The photo group answered.
- A kind of 2. photo classification device, it is characterised in that including：Detection module, for detecting whether receiving photographing instruction；Acquisition module, for when detecting photographing instruction, carrying out photographing operation and starting the eye recognition of mobile terminal simultaneously To obtain the first eyeball identification information of active user and photo, wherein the First view ball identification information include iris information, At least one of sclera information and eyeprint information；Memory module includes：Matching unit and the first memory cell；The matching unit, for by all default eyeballs in the first eyeball identification information and presupposed information list Identification information is matched；First memory cell, for when described in one in the first eyeball identification information and the presupposed information list During default eyeball identification information matching, photo storage corresponding to the first eyeball identification information is identified to the default eyeball In photo group corresponding to information, to cause the photo of same user to be stored in same photo group, multiple photo groups are obtained；Its In, the naming method of the naming method of photo group and default messaging application corresponds；Wherein described presupposed information list Including the default eyeball identification information and photo group corresponding with the default eyeball identification information；Display module, share prompt message for generating, and share prompt message described in display, the prompt message of sharing is yes No progress photo shares operation；Receiving module, for receiving user according to the selection instruction for sharing prompt message feedback；Searching modul, for when the selection instruction shares operation to receive photo, in the default messaging application Search whether the name identical member for having with photo group；Sending module, if for the name identical member with photo group in the default messaging application be present, will The photo group of the member is sent to the member；Second memory cell, if for the first eyeball identification information with it is all described pre- in the presupposed information list If eyeball identification information mismatches, then the first identification information is received, and will the first eyeball identification information and described the Store after the foundation association of one identification information and built into the presupposed information list, and according to the first eyeball identification information Vertical new photo group.
- 3. a kind of computer-readable recording medium, it stores the computer program for photo classification, wherein, the computer journey Sequence causes computer to perform the method as described in claim 1.
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| CN106228165A (en) * | 2016-07-27 | 2016-12-14 | 维沃移动通信有限公司 | A kind of method of photo classification and mobile terminal |
| CN106385502B (en) * | 2016-09-19 | 2020-07-17 | 珠海大横琴科技发展有限公司 | Photo arrangement method and mobile terminal |
| CN108282611B (en) * | 2018-01-11 | 2020-11-13 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN109753580A (en) * | 2018-12-21 | 2019-05-14 | Oppo广东移动通信有限公司 | A kind of image classification method, device, storage medium and electronic equipment |
| CN113055586A (en) * | 2019-12-27 | 2021-06-29 | 青岛千眼飞凤信息技术有限公司 | Video processing method and device |
| CN112199546A (en) * | 2020-12-04 | 2021-01-08 | 浙江聚欣科技有限公司 | Photo storage management system and method |
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Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
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