CN105279273A - Photo classification method and device - Google Patents
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- 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
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Abstract
The present invention provides a photo classification method and a device. The photo classification method comprises a step of detecting whether a shooting instruction is received or not, a step of carrying out a shooting operation and obtaining the first eyeball identification information and photos of a current user if the shooting instruction is detected, a step of carrying out classification storage of the photos according to the first eyeball identification information so as to obtain multiple photo groups. According to the photo classification method and the device, the photos can be classified according to the eyeball identification information, thus a user can view the photos conveniently, and the searching efficiency is improved.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of photo classification method and device.
Background technology
Along with the development of smart mobile phone, the function of smart mobile phone gets more and more, and in various functions, camera function is widely used.Take pictures compared to camera, because mobile phone is more portable, particularly can autodyne easily, user is increased the degree of dependence of mobile phone, simultaneously also more and more higher to the requirement of the camera function of mobile phone.
Because the photo after existing taking pictures mainly is classified according to time or place, therefore inconvenient user checks and screens photo.Generally, user is higher to there being my photo attention rate, but the photo due to same user is not probably connect together, even if the photo in certain time or certain place connects together, be also difficult to the photo of the same people of different time or different location to be all placed in a group of photos, when causing user to check in the later stage, need manually to check one by one, thus spend the more time, be therefore with great inconvenience to user, reduce search efficiency.
Summary of the invention
The embodiment of the present invention provides a kind of photo classification method and device, searches photo, the technical matters that search efficiency is low to solve the inconvenient user of existing photo classification method.
For solving the problem, technical scheme provided by the invention is as follows:
The embodiment of the present invention provides a kind of photo classification method, and it comprises:
Detect and whether receive photographing instruction;
If photographing instruction detected, then carry out photographing operation and obtain first eyeball identifying information and the photo of active user;
Carry out classification according to described first eyeball identifying information to described photo to store, to obtain multiple group of photos.
The embodiment of the present invention also provides a kind of photo classification device, and it comprises:
Detection module, for detecting whether receive photographing instruction;
Acquisition module, for when photographing instruction being detected, carrying out photographing operation and obtaining first eyeball identifying information and the photo of active user;
Memory module, stores for carrying out classification according to described first eyeball identifying information to described photo, to obtain multiple group of photos.
Compared to prior art, the photo classification method of the present embodiment and device, can be classified by the eyeball identifying information comparison film of photographer, thus facilitate user to search, user be used convenient, improve search efficiency.
Accompanying drawing explanation
The process flow diagram of the photo classification method that Fig. 1 provides for the embodiment of the present invention one;
The process flow diagram of the photo classification method that Fig. 2 provides for the embodiment of the present invention two;
The process flow diagram of step S203 in the photo classification method that Fig. 3 provides for the embodiment of the present invention two;
The structural representation of the photo classification device that Fig. 4 provides for the embodiment of the present invention three;
The structural representation of the photo classification device that Fig. 5 provides for the embodiment of the present invention four;
The structural representation of memory module in the photo classification device that Fig. 6 provides for the embodiment of the present invention four.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those skilled in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Please refer to Fig. 1, the process flow diagram of the photo classification method that Fig. 1 provides for the embodiment of the present invention one.
The photo classification method of this preferred embodiment, comprising:
Step S101, detects whether receive photographing instruction;
Step S102, if photographing instruction detected, then carries out photographing operation and obtains first eyeball identifying information and the photo of active user;
Step S103, carries out classification according to this first eyeball identifying information to this photo and stores, to obtain multiple group of photos.
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 receive photographing instruction, and this photographing instruction is for example the camera function of user's starting hand-set, presses the operation of button of taking pictures, forwards step S102 to subsequently.
In step s 102, if terminal detects photographing instruction, then carry out photographing operation and obtain first eyeball identifying information and the photo of active user; This first eyeball identifying information comprises at least one in the information such as iris information, sclera information, eyeprint information, for example terminal detects that user presses button of taking pictures, take pictures, and obtain the iris information of photographer while taking pictures, and obtain the photo of photographer in end of taking pictures.Forward step S103 to subsequently.
In step s 103, terminal carries out classification storage, to obtain multiple group of photos according to this first eyeball identifying information to this photo.Such as photo is carried out classification according to the iris information of photographer to store, photo storage corresponding to the iris information of same person is in same group of photos.Because the iris information of different people is different, after therefore being classified by photo according to iris information, can make the photo storage of same person in same group of photos.
The photo classification method of this preferred embodiment, classifies photo according to eyeball identifying information, thus it is convenient that user is checked, improves search efficiency of knowing clearly.
Please refer to Fig. 2, the process flow diagram of the photo classification method that Fig. 2 provides for the embodiment of the present invention two.
The photo classification method of this preferred embodiment, comprising:
Whether step S201, detection receive photographing instruction;
If step S202 detects photographing instruction, then carry out photographing operation and obtain first eyeball identifying information and the photo of active user;
Step S203, according to this first eyeball identifying information to this photo carry out classification store, to obtain multiple group of photos;
Step S204, in default communication applications program, search the member corresponding with this first identification information according to this first identification information, to judge whether to find the member corresponding with this first identification information; If find the member corresponding with this first identification information, then perform step S205; If do not find the member corresponding with this first identification information, then perform step S206;
Step S205, when finding the member corresponding with this first identification information, group of photos corresponding for this first identification information is sent to this member;
Step S206, when not finding the member corresponding with this first identification information, display reminding information.
The photo classification method of this preferred embodiment ends at step S206.
The step S201 to step S203 of this preferred embodiment is identical to step S103 with the step S101 in embodiment one, and the idiographic flow of the step S201 to step S203 of this preferred embodiment refers to the associated description in above-mentioned first preferred embodiment.
In step S204, terminal searches the member corresponding with this first identification information according to this first identification information in default communication applications program;
Such as, this default communication applications program is for example the software such as QQ, micro-letter, again such as in step S203, by the group of photos called after " Zhang San " of Zhang San, then in QQ address list, searches whether there is " Zhang San " member; Have " Zhang San " if found in QQ address list, then perform step S205; If do not found, then perform step S206.Preferably, the naming method of photo and the naming method one_to_one corresponding of QQ address list, can guarantee accuracy and the uniqueness of searching user.In step S205, group of photos corresponding for this first identification information is sent to this member by terminal.Such as find in QQ address list have " Zhang San " member time, the group of photos of " Zhang San " is sent to " Zhang San " member in QQ address list by terminal.
In step S206, terminal demonstration information, such as terminal demonstration does not find the information of corresponding member.
In order to determine whether photo to be sent to the corresponding member in default communication applications program according to the wish of user, can also after photo classification storage complete, first sending photo to user shares information, namely before step S204, also comprises:
A, generate and share information, and show this and share information, this is shared information and shares operation for whether carrying out photo;
B, receive user according to this share information feedback selection instruction;
C, when this selection instruction shares operation for accepting photo, then perform this searches the member corresponding with this first identification information in default communication applications program step according to this first identification information.
Such as in step, terminal generates to user shares information, and shows this and share information, and whether this shares information can be " this group of photos being sent in default communication applications program ", forwards step B subsequently to; In stepb, user shares information according to this, and selection is or no, and selection result is fed back to terminal, forwards step C to subsequently; In step C, when user select be this group of photos is sent in default communication applications program time, then perform step S204 again.
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, this first eyeball identifying information to be mated with these the default eyeball identifying informations all in presupposed information list;
Step S302, judge whether this first eyeball identifying information mates with this default eyeball identifying information in presupposed information list; If this default eyeball identifying information of this first eyeball identifying information and in this presupposed information list mates, then perform step S303; If this first eyeball identifying information does not mate with these the default eyeball identifying informations all in this presupposed information list, then perform step S304;
Step S303, when this default eyeball identifying information of this first eyeball identifying information and in this presupposed information list mates, by photo storage corresponding for this first eyeball identifying information in group of photos corresponding to this default eyeball identifying information;
Step S304, not mate with these the default eyeball identifying informations all in this presupposed information list when this first eyeball identifying information, this the first eyeball identifying information is stored in this presupposed information list, and sets up new group of photos according to this first eyeball identifying information.
The following detailed description of the idiographic flow of above steps.
In step S301, this first eyeball identifying information mates with these the default eyeball identifying informations all in presupposed information list by terminal; Wherein this presupposed information list comprises this default eyeball identifying information and the group of photos corresponding with this default eyeball identifying information; Such as this presupposed information list is previously stored with multiple iris information and multiple group of photos, the iris information of the corresponding user of each group of photos;
In step s 302, whether this first eyeball identifying information of terminal judges mates with this default eyeball identifying information in presupposed information list; Particularly, when taking pictures, the iris information obtained of this being taken pictures is mated with the multiple iris information prestored, if this is taken pictures, whether the iris information obtained reaches parameter preset with the matching degree of the multiple iris information prestored, and parameter preset is for example 80%; If this is taken pictures, the iris information obtained reaches parameter preset with the matching degree of the multiple iris information prestored, then forward step S303 to; If this is taken pictures, the iris information obtained does not reach parameter preset with the matching degree of the multiple iris information prestored, then forward step S304 to;
In step S303, terminal by photo storage corresponding for this first eyeball identifying information in group of photos corresponding to this default eyeball identifying information; Because matching result is in step s 302 that this iris information obtained of taking pictures reaches parameter preset with the matching degree of the iris information prestored, show that this iris information has been stored in presupposed information list, in the group of photos that therefore direct iris information photo storage prestored to this is corresponding.
In step s 304, this first eyeball identifying information is stored in this presupposed information list, and sets up new group of photos according to this first eyeball identifying information by terminal; Because matching result is in step s 302 that this iris information obtained of taking pictures all does not reach parameter preset with the matching degree of all iris information prestored, show that this iris information is new, namely this iris information is not stored in presupposed information list, therefore in order to the later stage checks that photo is convenient, need to upgrade presupposed information list, such as this iris information is stored in presupposed information list, and sets up new group of photos according to this iris information.
Certainly, in order to search sorted photo more easily.
Preferably, default eyeball identifying information and default identification information can be bound, namely this presupposed information list also comprises default identification information and the incidence relation between this default eyeball identifying information and this default identification information; Wherein the name that for example pre-enters for user of this default identification information or alphabetical or numeral number etc., be used for facilitating user to distinguish different eyeball identifying informations.
Preferably, after default eyeball identifying information and default identification information being bound, above-mentioned steps S303 is specifically as follows:
If this first eyeball identifying information does not mate with these the default eyeball identifying informations all in this presupposed information list, then receive the first identification information, and be stored in this presupposed information list after this first eyeball identifying information is associated with this first identification information.
For example Zhang San is when autodyning, terminal obtains the iris information of Zhang San, and mate with all iris information prestored, find that the iris information of Zhang San and the matching degree of all iris information prestored all do not reach parameter preset, namely the iris information of Zhang San is not stored in presupposed information list, now terminal notifying user Zhang San inputs the first identification information, such as input " Zhang San " as this first identification information, then terminal is stored in presupposed information list after " Zhang San " being associated with this iris information.
So just, user can be made to search photo easily, under improve the experience of user.
Said method is specifically as follows, when taking pictures, the eye recognition of mobile terminal can be started, the identification of human eye information is carried out to each photo, human eye information and name are bound simultaneously, can immediately carry out storing according to personal ledger to the photo of user after having clapped.When the later stage checks, as long as input name, such as " Zhang San ", just can demonstrate " Zhang San " all photographs on mobile phone.Owing to using eyeball information classification, accurately efficiently.When making user search photograph next time, very efficient and convenient.Simultaneously can also after classification storage complete, backstage logs in QQ, and this photo is sent member corresponding in QQ grouping, the packet type of QQ user is consistent with the mode classification of photo.
The photo classification method of this preferred embodiment, on the basis of the first embodiment, by according to the sorted photo of default identification information, can send to the member that default application program is corresponding, thus makes user convenient, improves information interaction.
Please refer to Fig. 4, the structural representation of the photo classification device that Fig. 4 provides for the embodiment of the present invention three.The photo classification device 40 of this preferred embodiment comprises detection module 41, acquisition module 42, memory module 43; Detection module 41, for detecting whether receive photographing instruction; Acquisition module 42, for when photographing instruction being detected, carrying out photographing operation and obtaining first eyeball identifying information and the photo of active user; Memory module 43, stores for carrying out classification according to this first eyeball identifying information to this photo, to obtain multiple group of photos.
When the photo classification device 40 of this preferred embodiment uses:
First detection module 41 detects and whether receives photographing instruction, and this photographing instruction is for example the camera function of user's starting hand-set, presses the operation of button of taking pictures.
Afterwards, if detection module 41 detects photographing instruction, then acquisition module 42 carries out photographing operation and obtains first eyeball identifying information and the photo of active user; This first eyeball identifying information comprises at least one in the information such as iris information, sclera information, eyeprint information, for example detection module 41 detects that user presses button of taking pictures, take pictures, and acquisition module 42 obtains the iris information of photographer while taking pictures, and obtain the photo of photographer in end of taking pictures.
Afterwards, this first eyeball identifying information that memory module 43 obtains according to acquisition module 42 carries out classification storage, to obtain multiple group of photos to this photo.Photo is carried out classification according to the iris information of photographer and stores by such as memory module 43, and photo storage corresponding to the iris information of same person is in same group of photos.Because the iris information of different people is different, after therefore being classified by photo according to iris information, can make the photo storage of same person in same group of photos.
The photo classification device of this preferred embodiment, classifies photo according to eyeball identifying information, thus it is convenient that user is checked, improves search efficiency of knowing clearly.
Please refer to Fig. 5, the structural representation of the photo classification device that Fig. 5 provides for the embodiment of the present invention four.The photo classification device 50 of this preferred embodiment comprises detection module 51, acquisition module 52, memory module 53; The basis of the 3rd embodiment also comprises display module 54, receiver module 55, searches module 56, sending module 57; This display module 54, for before searching the member corresponding with this first identification information according to this first identification information in default communication applications program, information is shared in generation, and information is shared in display, and this shares information is whether carry out photo to share operation; This receiver module 55, for receive user according to this share information feedback selection instruction; This searches module 56, for searching the member corresponding with this first identification information according to this first identification information in default communication applications program; This sending module 57, if for finding the member corresponding with this first identification information, then send to this member by group of photos corresponding for this first identification information.
The photo classification device 50 of the present embodiment is in use:
First, display module 54 generates shares information, and shows this and share information, and whether this shares information can be " this group of photos being sent in default communication applications program ".
Afterwards, receiver module 55 receives user and shares the selection instruction of information feedback according to this, namely user select be or no.Such as user show according to display module 54 this share information, selection is or no, and selection result is fed back to terminal.
Then, what receiver module 55 received that user selects is when this group of photos being sent in default communication applications program, then search module 56 and in default communication applications program, search the member corresponding with this first identification information according to this first identification information;
Such as, this default communication applications program is for example the software such as QQ, micro-letter, and such as memory module 53 is by the group of photos called after " Zhang San " of Zhang San again, then search module 54 in QQ address list, search whether there is " Zhang San " member;
Preferably, the naming method of photo and the naming method one_to_one corresponding of QQ address list, can guarantee accuracy and the uniqueness of searching user.
Afterwards, group of photos corresponding for this first identification information is sent to this member by sending module 57.The group of photos of " Zhang San " is sent to " Zhang San " member in QQ address list by such as terminal.
Preferably, as shown in Figure 6, the memory module 53 in the present embodiment can also comprise:
Matching unit 61, first storage unit 62, second storage unit 63;
This matching unit 61, for mating this first eyeball identifying information with these the default eyeball identifying informations all in presupposed information list;
This first storage unit 62, for when this default eyeball identifying information of this first eyeball identifying information and in this presupposed information list mates, by photo storage corresponding for this first eyeball identifying information in group of photos corresponding to this default eyeball identifying information; Wherein this presupposed information list comprises this default eyeball identifying information and the group of photos corresponding with this default eyeball identifying information.
This second storage unit 63, for when this first eyeball identifying information does not mate with these the default eyeball identifying informations all in this presupposed information list, this the first eyeball identifying information is stored in this presupposed information list, and sets up new group of photos according to this first eyeball identifying information.
First, this first eyeball identifying information mates with these the default eyeball identifying informations all in presupposed information list by matching unit 61; Wherein this presupposed information list comprises this default eyeball identifying information and the group of photos corresponding with this default eyeball identifying information; Such as this presupposed information list is previously stored with multiple iris information and multiple group of photos, the iris information of the corresponding user of each group of photos;
Particularly, when taking pictures, matching unit 61 this is taken pictures obtain iris information mate with the multiple iris information prestored, if this is taken pictures, whether the iris information obtained reaches parameter preset with the matching degree of the multiple iris information prestored, and parameter preset is for example 80%;
Afterwards, when the matching result of matching unit 61 be this iris information of obtaining of taking pictures reach parameter preset with the matching degree of the multiple iris information prestored time, the first storage unit 62 by photo storage corresponding for this first eyeball identifying information in group of photos corresponding to this default eyeball identifying information; Matching result due to matching module 61 is that this iris information obtained of taking pictures reaches parameter preset with the matching degree of the iris information prestored, show that this iris information has been stored in presupposed information list, in the group of photos that therefore direct iris information photo storage prestored to this is corresponding.
Finally, when the matching result of matching unit 61 be this iris information of obtaining of taking pictures do not reach parameter preset with the matching degree of the multiple iris information prestored time, this the first eyeball identifying information is stored in this presupposed information list by this second storage unit 63, and sets up new group of photos according to this first eyeball identifying information; Matching result due to matching module 61 is that this iris information obtained of taking pictures all does not reach parameter preset with the matching degree of all iris information prestored, show that this iris information is new, namely this iris information is not stored in presupposed information list, therefore in order to the later stage checks that photo is convenient, need to upgrade presupposed information list, such as this iris information is stored in presupposed information list, and sets up new group of photos according to this iris information.
Certainly, in order to search sorted photo more easily.
Preferably, this presupposed information list also comprises default identification information and the incidence relation between this default eyeball identifying information and this default identification information;
This second storage unit 63, also for when this first eyeball identifying information does not mate with these the default eyeball identifying informations all in this presupposed information list, then receive the first identification information, and be stored in this presupposed information list after this first eyeball identifying information is associated with this first identification information.
For example Zhang San is when autodyning, acquisition module 52 obtains the iris information of Zhang San, this iris mates with all iris information prestored by matching unit 61, find that the iris information of Zhang San and the matching degree of all iris information prestored all do not reach parameter preset, namely the iris information of Zhang San is not stored in presupposed information list, user Zhang San is now pointed out to input the first identification information, such as input " Zhang San " as this first identification information, then the second storage unit 63 is stored in presupposed information list after " Zhang San " being associated with this iris information.So just, user can be made to search photo easily, under improve the experience of user.
The photo classification device of this preferred embodiment, on the basis of the 3rd embodiment, by according to the sorted photo of default identification information, can send to the member that default application program is corresponding, thus makes user convenient, improves search efficiency of knowing clearly.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is that the hardware that can carry out instruction relevant by program has come, this program can be stored in a computer-readable recording medium, storage medium can comprise: ROM (read-only memory) (ROM, ReadOnlyMemory), random access memory (RAM, RandomAccessMemory), disk or CD etc.
A kind of photo classification method provided the embodiment of the present invention above and device are described in detail, apply specific case herein to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for those skilled in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (12)
1. a photo classification method, is characterized in that, comprising:
Detect and whether receive photographing instruction;
If photographing instruction detected, then carry out photographing operation and obtain first eyeball identifying information and the photo of active user;
Carry out classification according to described first eyeball identifying information to described photo to store, to obtain multiple group of photos.
2. photo classification method according to claim 1, is characterized in that, described according to described first eyeball identifying information comparison film carry out classify store step specifically comprise:
Described first eyeball identifying information is mated with all described default eyeball identifying information in presupposed information list;
If described first eyeball identifying information mates with the described default eyeball identifying information of in described presupposed information list, then by photo storage corresponding for described first eyeball identifying information in group of photos corresponding to described default eyeball identifying information;
Wherein said presupposed information list comprises described default eyeball identifying information and the group of photos corresponding with described default eyeball identifying information.
3. photo classification method according to claim 2, is characterized in that, also comprises:
If described first eyeball identifying information does not mate with all described default eyeball identifying information in described presupposed information list, then described first eyeball identifying information is stored in described presupposed information list, and sets up new group of photos according to described first eyeball identifying information.
4. photo classification method according to claim 3, it is characterized in that, described presupposed information list also comprises default identification information and the incidence relation between described default eyeball identifying information and described default identification information, and described method also comprises:
If described first eyeball identifying information does not mate with all described default eyeball identifying information in described presupposed information list, then receive the first identification information, and be stored in described presupposed information list after described first eyeball identifying information is associated with described first identification information.
5. photo classification method according to claim 4, is characterized in that, also comprises:
In default communication applications program, the member corresponding with described first identification information is searched according to described first identification information;
If find the member corresponding with described first identification information, then group of photos corresponding for described first identification information is sent to this member.
6. photo classification method according to claim 5, is characterized in that, before the step of searching the member corresponding with described first identification information according to described first identification information in default communication applications program, described method also comprises:
Information is shared in generation, and shares information described in display, described in share information and share operation for whether carrying out photo;
Receive user according to the described selection instruction sharing information feedback;
When described selection instruction shares operation for accepting photo, then perform described step of searching the member corresponding with described first identification information according to described first identification information in default communication applications program.
7. a photo classification device, is characterized in that, comprising:
Detection module, for detecting whether receive photographing instruction;
Acquisition module, for when photographing instruction being detected, carrying out photographing operation and obtaining first eyeball identifying information and the photo of active user;
Memory module, stores for carrying out classification according to described first eyeball identifying information to described photo, to obtain multiple group of photos.
8. photo classification device according to claim 7, is characterized in that, described memory module comprises: matching unit and the first storage unit;
Described matching unit, for mating described first eyeball identifying information with all described default eyeball identifying information in presupposed information list;
Described first storage unit, for when described first eyeball identifying information mates with the described default eyeball identifying information of in described presupposed information list, by photo storage corresponding for described first eyeball identifying information in group of photos corresponding to described default eyeball identifying information; Wherein said presupposed information list comprises described default eyeball identifying information and the group of photos corresponding with described default eyeball identifying information.
9. photo classification device according to claim 8, is characterized in that, described memory module also comprises the second storage unit;
Described second storage unit, for when described first eyeball identifying information does not mate with all described default eyeball identifying information in described presupposed information list, described first eyeball identifying information is stored in described presupposed information list, and sets up new group of photos according to described first eyeball identifying information.
10. photo classification device according to claim 9, is characterized in that,
Described presupposed information list also comprises default identification information and the incidence relation between described default eyeball identifying information and described default identification information;
Described second storage unit, also for when described first eyeball identifying information does not mate with all described default eyeball identifying information in described presupposed information list, then receive the first identification information, be stored in described presupposed information list after described first eyeball identifying information is associated with described first identification information.
11. photo classification devices according to claim 10, is characterized in that, also comprise: search module and sending module;
Describedly search module, for searching the member corresponding with described first identification information according to described first identification information in default communication applications program;
Described sending module, if for finding the member corresponding with described first identification information, then send to this member by group of photos corresponding for described first identification information.
12. photo classification devices according to claim 11, is characterized in that, also comprise display module and receiver module;
Described display module, for before searching the member corresponding with described first identification information according to described first identification information in default communication applications program, information is shared in generation, and share information described in display, described in share information and share operation for whether carrying out photo;
Described receiver module, for receiving user according to the described selection instruction sharing information feedback.
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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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