CN111368111A - Picture retrieval method and device for mobile equipment and mobile equipment - Google Patents
Picture retrieval method and device for mobile equipment and mobile equipment Download PDFInfo
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Abstract
The invention provides a picture retrieval method and device for mobile equipment and the mobile equipment, wherein the method comprises the steps of obtaining retrieval requirements, and identifying the picture category of the requirements described by the retrieval requirements; determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification; and retrieving the required pictures from the target picture set. By the method and the device, the picture retrieval of the mobile device is more convenient, the picture retrieval efficiency of the mobile device is improved, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of mobile device technologies, and in particular, to a picture retrieval method and apparatus for a mobile device, and a mobile device.
Background
With the improvement and enhancement of the digital photographing function of the mobile device, the pictures stored on the mobile device are increased explosively, for example, users take pictures by using a camera daily, download pictures on the internet and store pictures by using a chat tool, so that the application of the picture processing on the mobile device is very attractive.
In the related art, when a user needs to search for a needed picture from a large number of pictures stored in a mobile device, the user usually searches for a target picture according to the approximate shooting time of the picture memorized by the user, because albums on the existing mobile device are mostly sorted based on time, photos shot on a certain day can be searched according to the time. Or when the mobile device generates the picture, the shot picture, the picture of the screenshot of the user and the WeChat picture are separated and stored in different directories, so that the picture can be relatively and directly retrieved from one directory according to the directories during retrieval.
In this way, the picture retrieval on the mobile device is complicated, the retrieval efficiency is not high, and the user experience is affected.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the invention provides a picture retrieval method and device for a mobile device and the mobile device, which can make picture retrieval of the mobile device more convenient, improve picture retrieval efficiency of the mobile device and improve user experience.
The picture retrieval method for the mobile device provided by the embodiment of the first aspect of the invention comprises the following steps: acquiring a retrieval demand, and identifying the picture category of the demand described by the retrieval demand; determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification; and retrieving required pictures from the target picture set.
According to the picture retrieval method for the mobile device, provided by the embodiment of the first aspect of the invention, by acquiring the retrieval requirement, identifying the picture category of the requirement described by the retrieval requirement, determining the target picture set corresponding to the picture category of the requirement from the plurality of picture sets obtained by pre-classification, and retrieving the picture of the requirement from the target picture set, the picture retrieval of the mobile device can be more convenient, the picture retrieval efficiency of the mobile device is improved, and the user experience is improved.
The picture retrieval device for the mobile device provided by the embodiment of the second aspect of the invention comprises: the acquisition module is used for acquiring a retrieval requirement and identifying the picture category of the requirement described by the retrieval requirement; the first determining module is used for determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification; and the retrieval module is used for retrieving the required pictures from the target picture set.
According to the picture retrieval device for the mobile device, provided by the embodiment of the second aspect of the invention, by acquiring the retrieval requirement and identifying the picture category of the requirement described by the retrieval requirement, the target picture set corresponding to the picture category of the requirement is determined in the plurality of picture sets obtained by pre-classification, and the picture of the requirement is retrieved from the target picture set, so that the picture retrieval of the mobile device is more convenient, the picture retrieval efficiency of the mobile device is improved, and the user experience is improved.
A non-transitory computer-readable storage medium is set forth in an embodiment of the third aspect of the present invention, and instructions in the storage medium, when executed by a processor of a mobile device, enable the mobile device to perform a picture retrieval method for the mobile device, the method including: the embodiment of the first aspect of the invention provides a picture retrieval method for a mobile device.
The non-transitory computer-readable storage medium according to the third aspect of the present invention obtains the search requirement, identifies the picture category of the requirement described by the search requirement, determines a target picture set corresponding to the picture category of the requirement from a plurality of picture sets obtained by pre-classification, and searches the picture of the requirement from the target picture set, so that the picture search of the mobile device is more convenient, the picture search efficiency of the mobile device is improved, and the user experience is improved.
A fourth aspect of the present invention is directed to a mobile device, including: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; the power supply circuit is used for supplying power to each circuit or device of the mobile equipment; the memory is used for storing executable program codes; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the picture retrieval method for the mobile device proposed by the embodiment of the first aspect of the present invention.
According to the mobile device provided by the embodiment of the fourth aspect of the invention, by acquiring the retrieval requirement, identifying the picture category of the requirement described by the retrieval requirement, determining the target picture set corresponding to the picture category of the requirement from the plurality of picture sets obtained by pre-classification, and retrieving the picture of the requirement from the target picture set, the picture retrieval of the mobile device can be more convenient, the picture retrieval efficiency of the mobile device can be improved, and the user experience can be improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a picture retrieval method for a mobile device according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the effect of a picture set according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a picture retrieval method for a mobile device according to another embodiment of the present invention;
FIG. 4 is a flowchart illustrating a process of pre-classifying a plurality of picture sets according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a picture retrieval apparatus for a mobile device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a picture retrieval apparatus for a mobile device according to another embodiment of the present invention;
fig. 7 is a schematic structural diagram of a mobile device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a flowchart illustrating a picture retrieval method for a mobile device according to an embodiment of the present invention.
In the embodiments of the present invention, a mobile device may communicate with one or more Core networks (Core networks) through a Radio Access Network (RAN), and the mobile device may be referred to as an Access terminal, a User Equipment (UE), a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a user terminal, a wireless communication device, a user agent, or a user equipment.
The mobile device may also be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with Wireless communication capability, a computing device or other processing device connected to a Wireless modem, an in-vehicle device, a wearable device, a mobile device in a future 5G network, and so forth.
Referring to fig. 1, the method includes:
s101: and acquiring a retrieval demand, and identifying the picture category of the demand described by the retrieval demand.
The retrieval requirement may be acquired by the mobile device according to voice or video input by the user, and the retrieval requirement may be specifically used to describe relevant information of a picture that the user needs to retrieve currently on the mobile device, where the retrieval requirement may include, for example, picture features that need to be retrieved, where the picture features are, for example, color and brightness of the picture, and categories of entities included in the picture, and the like, which is not limited herein.
In some embodiments, the mobile device may be controlled to receive voice input by the user, and parse the voice to obtain the content "retrieve the picture of person 1", where the "retrieve the picture of person 1" is referred to as a retrieval requirement.
In other embodiments, the mobile device may be further controlled to receive a video entered by the user, parse the video frame to identify the picture feature a shown by the user, and at this time, "retrieve a picture with the picture feature a" is taken as a retrieval requirement, which is not limited in this respect.
In the embodiment of the invention, in order to realize the immersive experience of user retrieval, a "feeling-and-feeling" type retrieval requirement can be provided, and optionally, when the retrieval requirement is obtained and the picture category of the requirement described by the retrieval requirement is identified, a target picture can be shot by adopting a camera of mobile equipment; and analyzing the first category of the target picture, and taking the first category as the required picture category.
The first category of the target picture is obtained by dividing the target picture according to the picture features of the target picture by using the picture classification method provided in the embodiment of the present invention, and the picture classification method may be used for a plurality of picture sets obtained by pre-classification, which may be specifically referred to in the following embodiments.
The target picture is taken as a face image or a scene image in a specific scene for example.
For example, firstly, a front camera or a rear camera on the mobile device is used for photographing and acquiring a face image of the front face of the target person, or shooting a scene image under a designated similar scene (for later searching a plurality of pictures of similar faces or similar scenes from a plurality of pictures obtained by pre-classification), then carrying out face recognition on the face image or carrying out scene recognition on the scene image to obtain a recognition result (the recognition result is a person class (person 1 or person 2) to which a specific face belongs or a scene class (scene 1 or scene 2) to which a specific scene belongs, and the like), the person class or the scene class, if the identification is successful, matching the pictures from a plurality of classified pre-classified picture sets, and if the matching is successful, outputting the matched pictures in a list or thumbnail mode; if the identification is unsuccessful, the user is prompted.
If the user needs to retrieve the picture according to the memorized information or needs to retrieve the picture on demand at an instant, the embodiment of the present invention further provides another method for obtaining the retrieval requirement and identifying the picture category of the requirement described by the retrieval requirement.
All the categories related to the plurality of pre-classified picture sets are obtained by adopting the picture classification method provided in the embodiment of the present invention and by being classified according to the picture features of pictures stored in the mobile device, and the following embodiment may be specifically referred to.
After a plurality of picture sets are obtained through pre-classification, all the categories related to the plurality of picture sets can be directly displayed on an interface of the mobile device when a retrieval instruction of a user is obtained, and the category selected by the user is determined from all the related categories according to the user selection instruction (the category selected by the user can be called as a second category), so that the second category is used as a required picture category.
For example, the mobile device extracts the pictures of the album according to a plurality of picture sets obtained by pre-classifying, and then presents the pictures to the user in a manner similar to that shown in fig. 2, so that the user can directly search the target picture under the corresponding person subset or scene subset according to the desire of the user.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating the presentation effect of a picture set in an embodiment of the present invention, and it is assumed that all the categories include: the person 1, the person 2, …, the person N, the unidentified person, the scene 1, the scene 2 …, the scene N, the unidentified scene, and each category respectively correspond to one picture set, a user selection instruction may be directly received in the interface, and the selection instruction is used to select a second category from all the categories, and the second category is used as a required picture category, that is, the second category selected by the user is used as a required picture category for retrieving pictures, which is not limited.
The user may rename the picture category shown in fig. 2, and the scene category in fig. 2 may include, but is not limited to, scenes that can be recognized by scene recognition technology of a mobile terminal such as a classroom, a kitchen, a bedroom, a living room, an outdoor, an office, and the like. The pictures under each category subset in fig. 2 are arranged in a default ordering, i.e., on a time basis.
S102: and determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification.
After the retrieval requirement is obtained and the picture category of the requirement described by the retrieval requirement is identified, the target picture set corresponding to the picture category of the requirement can be determined from the plurality of picture sets obtained by pre-classification.
The above-mentioned picture set corresponding to the required picture category may be referred to as a target picture set.
Referring to fig. 2 together, it is assumed that all the categories included in the plurality of picture sets include: if the desired picture category is person 1, the picture set corresponding to person 1 is taken as the target picture set, wherein the desired picture category is person 1, person 2, …, person N, unidentified person, scene 1, scene 2 …, scene N, unidentified scene.
S103: and retrieving the required pictures from the target picture set.
When the retrieval requirement is obtained and the picture category of the requirement described by the retrieval requirement is identified, a camera of the mobile device is adopted to shoot a target picture, the first category of the target picture is analyzed, and the first category is used as the picture category of the requirement, at the moment, the mobile device can directly match each picture in the target picture set with the target picture, so that the required picture is retrieved from the target picture set.
When the retrieval requirement is obtained and the picture category of the requirement described by the retrieval requirement is identified, displaying all categories related to a plurality of picture sets obtained by pre-classification, and receiving a user selection instruction, wherein the selection instruction is used for selecting a second category from all categories, and when the second category is used as the picture category of the requirement, sorting the pictures in the target picture set according to a time sequence, and displaying the sorted pictures, at the moment, receiving an instruction of selecting the picture of the requirement by a user through mobile equipment, and determining the picture of the retrieval requirement from the target picture set according to the instruction of selecting the picture of the requirement by the user.
Through the steps, the mode of searching the required pictures from the target picture set is more flexible, the picture searching function of the mobile equipment is expanded, the searching function can be adapted to different modes of obtaining the searching requirement, and the user plane of the mobile equipment is expanded. The picture retrieval range is effectively reduced, so that the picture retrieval speed on the mobile device is improved, and the user experience is improved.
In the embodiment, the retrieval requirement is acquired, the picture category of the requirement described by the retrieval requirement is identified, the target picture set corresponding to the picture category of the requirement is determined from the plurality of pictures obtained by pre-classification, and the picture of the requirement is retrieved from the target picture set, so that the picture retrieval of the mobile device is more convenient, the picture retrieval efficiency of the mobile device is improved, and the user experience is improved.
Fig. 3 is a flowchart illustrating a picture retrieval method for a mobile device according to another embodiment of the present invention.
Referring to fig. 3, the method includes:
s301: for each picture stored in the mobile device, picture features are identified.
The pictures stored in the mobile device may be pictures obtained by daily photographing with a camera, pictures downloaded from the internet, pictures transmitted in a chat tool, and the like, and are not limited thereto.
By the aid of the method and the device, the pictures in the mobile device can be classified in advance to form a plurality of picture sets obtained by classification in advance, and each picture set is marked with a corresponding picture category, so that subsequent picture retrieval is assisted, and picture retrieval efficiency is higher.
In the process of identifying the image features, the image features may specifically be identified as human features (for example, human face features), or scene features.
The picture features in the embodiment of the invention comprise at least one of the following: character characteristics, scene characteristics, emotional characteristics of characters, character behavior characteristics and animal characteristics.
In a specific execution process, a face recognition algorithm or a scene recognition algorithm in the related art may be used to recognize a face feature or a scene feature for each picture stored in the mobile device, and the recognized face feature or scene feature is used as a picture feature, which is not limited in this respect.
S302: and determining the picture category according to the picture characteristics.
After the picture features are identified for each picture stored in the mobile device, the picture type can be determined according to a set rule.
It is assumed that the picture feature a of the picture a is recognized, the picture feature B of the picture B is recognized, and the picture feature C of the picture C is recognized, and the set rules are that the picture feature a is classified into the picture category of the person 1, the picture feature B is classified into the picture category of the person 2, and the picture feature C is classified into the picture category of the person 3, whereby the picture category can be determined according to the picture feature according to the set rules.
Of course, the picture type is not limited to the content described in fig. 2 and the text, and may be any other picture type capable of distinguishing different pictures, for example, when a person is included in a picture, the emotion type of the identified person may be used as the picture type, and the different picture type may be a happy type, an angry type, a melancholy type, or the like, which is not limited thereto.
According to the invention, emotion recognition is added on the basis of face recognition, so that not only can a person be recognized from the face in the picture, but also the type of the emotion of the person at that time can be recognized, and thus, a plurality of picture sets obtained by pre-classification can be divided and classified and collected in a more detailed manner, and the later picture retrieval work is facilitated.
S303: and dividing each picture into picture sets corresponding to the picture category of the picture until all stored pictures are divided, and obtaining a plurality of picture sets obtained by pre-classification.
The above-mentioned dividing each picture into the picture sets corresponding to its own picture category can determine whether there is a picture set corresponding to its own picture category; if the picture set corresponding to the picture type of the picture set exists, dividing the picture into the picture sets corresponding to the picture types of the picture set; if the picture set corresponding to the picture type of the picture set does not exist, the picture set is newly built, the pictures are divided into the newly built picture set, the picture type of the picture set is configured into the picture type of the newly built picture set, automatic division and creation of the picture set are achieved, and the continuity of picture set division is improved.
In the embodiment, the picture characteristics are identified for each picture stored in the mobile device, the picture category is determined according to the picture characteristics, each picture is divided into the picture sets corresponding to the picture category of the picture, and a plurality of picture sets obtained by pre-classification are obtained until all the stored pictures are divided. And emotion recognition is added on the basis of face recognition, so that a person can be recognized from the picture, and the type of the emotion of the person can be recognized, so that a plurality of picture sets obtained by pre-classification can be divided and classified and collected in a more detailed manner, and the later picture retrieval work is facilitated. The automatic division and creation of the picture sets are realized, and the continuity of the picture set division is improved.
As a more specific example, referring to fig. 4, fig. 4 is a schematic flowchart of a process of obtaining a plurality of picture sets by pre-classifying according to another embodiment of the present invention.
S401: a picture is extracted from the album of the mobile device.
S402: and carrying out primary face recognition on the picture.
S403: and if the picture contains the face, starting a face depth recognition function, otherwise executing S407.
S404: and judging whether the person identification is successful, if so, judging whether the picture contains a plurality of persons, if so, executing S405, and otherwise, executing S406.
S405: when the picture contains a plurality of people, the people category of each person is determined, a plurality of copies of the picture are generated, and the picture of each copy is divided into picture sets corresponding to the successfully identified people categories respectively.
S406: the picture category of the picture of the person which is not successfully identified is determined as the "person which is not identified", the picture is divided into picture sets corresponding to the picture category of the "person which is not identified", and S407 is executed.
S407: and starting a scene recognition function of the mobile device.
S408: and judging whether a successful scene is identified, if so, executing S409, otherwise, executing S410.
S409: and determining the scene category of the successfully identified scene, and dividing the pictures into picture sets corresponding to the scene category.
S410: and dividing the pictures of the scene category which is not successfully identified into picture sets corresponding to the picture categories which are not successfully identified.
Fig. 5 is a schematic structural diagram of a picture retrieval apparatus for a mobile device according to an embodiment of the present invention.
Referring to fig. 5, the apparatus 500 includes:
an obtaining module 501, configured to obtain a retrieval requirement, and identify a picture category of a requirement described by the retrieval requirement;
a first determining module 502, configured to determine, from a plurality of picture sets obtained through pre-classification, a target picture set corresponding to a required picture category;
and a retrieving module 503, configured to retrieve the required pictures from the target picture set.
Optionally, in some embodiments, referring to fig. 6, the apparatus 500 further comprises:
an identification module 504, configured to identify picture features of pictures stored in the mobile device;
a second determining module 505, configured to determine a picture category according to the picture feature;
the classification module 506 is configured to divide each picture into picture sets corresponding to picture categories of the picture, and mark the corresponding picture sets with the picture categories until all stored pictures are divided, so as to obtain a plurality of picture sets obtained by pre-classification.
Optionally, in some embodiments, referring to fig. 6, the classification module 506 is specifically configured to:
determining whether a picture set corresponding to the picture category of the user exists;
if the picture set corresponding to the picture type of the picture set exists, dividing the picture into the picture sets corresponding to the picture types of the picture set;
and if the picture set corresponding to the picture type of the user does not exist, establishing a new picture set, dividing the pictures into the newly established picture set, and configuring the picture type of the user as the picture type of the newly established picture set.
Optionally, in some embodiments, referring to fig. 6, the obtaining module 501 is specifically configured to:
shooting a target picture by adopting a camera of the mobile equipment;
and analyzing the first category of the target picture, and taking the first category as the required picture category.
Optionally, in some embodiments, referring to fig. 6, the obtaining module 501 is further configured to:
displaying all categories related to a plurality of picture sets obtained by pre-classification;
receiving a user selection instruction, wherein the selection instruction is used for selecting a second category from all categories;
and taking the second category as a required picture category.
Optionally, in some embodiments, referring to fig. 6, the retrieving module 503 is specifically configured to:
and directly determining pictures matched with the target pictures from the target picture set as required pictures.
Optionally, in some embodiments, referring to fig. 6, the retrieving module 503 is further configured to:
ordering the pictures in the target picture set according to a time sequence;
and displaying the sorted pictures.
Optionally, in some embodiments, referring to fig. 6, the picture feature comprises at least one of:
character characteristics, scene characteristics, emotional characteristics of characters, character behavior characteristics and animal characteristics.
It should be noted that the explanation of the foregoing embodiment of fig. 1 to fig. 4 for the picture retrieval method for a mobile device is also applicable to the picture retrieval apparatus 500 for a mobile device of this embodiment, and the implementation principle is similar, and is not described herein again.
In the embodiment, by acquiring the retrieval requirement, identifying the picture category of the requirement described by the retrieval requirement, determining the target picture set corresponding to the picture category of the requirement in the plurality of picture sets obtained by pre-classification, and retrieving the picture of the requirement from the target picture set, the picture retrieval of the mobile device can be more convenient, the picture retrieval efficiency of the mobile device is improved, and the user experience is improved.
Fig. 7 is a schematic structural diagram of a mobile device according to an embodiment of the present invention.
Referring to fig. 7, a mobile device 700 of the present embodiment includes a housing 701, a processor 702, a memory 703, a circuit board 704, and a power circuit 705, where the circuit board 704 is disposed inside a space surrounded by the housing 701, and the processor 702 and the memory 703 are disposed on the circuit board 704; power circuitry 705 for powering various circuits or devices of the mobile device 700; the memory 703 is used to store executable program code; the processor 702 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 703, for performing:
acquiring a retrieval demand, and identifying the picture category of the demand described by the retrieval demand;
determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification;
and retrieving the required pictures from the target picture set.
It should be noted that the explanation of the foregoing embodiment of the picture retrieval method for the mobile device in fig. 1 to fig. 4 is also applicable to the mobile device 700 of this embodiment, and the implementation principle is similar, and is not described herein again.
In the embodiment, by acquiring the retrieval requirement, identifying the picture category of the requirement described by the retrieval requirement, determining the target picture set corresponding to the picture category of the requirement in the plurality of picture sets obtained by pre-classification, and retrieving the picture of the requirement from the target picture set, the picture retrieval of the mobile device can be more convenient, the picture retrieval efficiency of the mobile device is improved, and the user experience is improved.
In order to implement the foregoing embodiments, the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the image retrieval method for a mobile device of the foregoing method embodiments is implemented.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (18)
1. A picture retrieval method for a mobile device, the method comprising:
acquiring a retrieval demand, and identifying the picture category of the demand described by the retrieval demand;
determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification;
and retrieving required pictures from the target picture set.
2. The picture retrieval method for a mobile device according to claim 1, wherein the obtaining of the retrieval requirement further comprises:
identifying picture characteristics of each picture stored in the mobile equipment;
determining the picture category according to the picture characteristics;
and dividing each picture into picture sets corresponding to the picture categories of the picture, and marking the corresponding picture sets by adopting the picture categories until all stored pictures are divided, so as to obtain a plurality of picture sets obtained by pre-classification.
3. The picture retrieval method for a mobile device of claim 2, wherein the dividing each of the pictures into a picture set corresponding to its own picture category comprises:
determining whether a picture set corresponding to the picture category of the user exists;
if the picture set corresponding to the picture type of the picture self exists, dividing the picture into the picture sets corresponding to the picture types of the picture self;
and if the picture set corresponding to the picture type of the user does not exist, establishing a new picture set, dividing the pictures into the newly established picture set, and configuring the picture type of the user as the picture type of the newly established picture set.
4. The picture retrieval method for a mobile device of claim 2, wherein said obtaining a retrieval requirement and identifying a picture category of the requirement described by the retrieval requirement comprises:
shooting a target picture by adopting a camera of the mobile equipment;
and analyzing the first category of the target picture, and taking the first category as the required picture category.
5. The picture retrieval method for a mobile device of claim 2, wherein said obtaining a retrieval requirement and identifying a picture category of the requirement described by the retrieval requirement comprises:
displaying all the categories related to the plurality of picture sets obtained by pre-classification;
receiving a user selection instruction, wherein the selection instruction is used for selecting a second category from all the categories;
and taking the second category as the picture category of the demand.
6. The picture retrieval method for a mobile device of claim 4, wherein said retrieving the desired picture from the target set of pictures comprises:
and directly determining a picture matched with the target picture from the target picture set as the picture of the demand.
7. The picture retrieval method for a mobile device of claim 5, wherein said retrieving the desired picture from the target set of pictures comprises:
sequencing the pictures in the target picture set according to a time sequence;
and displaying the sorted pictures.
8. The picture retrieval method for a mobile device of claims 2-7, wherein the picture features comprise at least one of:
character characteristics, scene characteristics, emotional characteristics of characters, character behavior characteristics and animal characteristics.
9. An apparatus for retrieving pictures for a mobile device, the apparatus comprising:
the acquisition module is used for acquiring a retrieval requirement and identifying the picture category of the requirement described by the retrieval requirement;
the first determining module is used for determining a target picture set corresponding to the required picture category from a plurality of picture sets obtained by pre-classification;
and the retrieval module is used for retrieving the required pictures from the target picture set.
10. The picture retrieval apparatus for a mobile device of claim 9, wherein the apparatus further comprises:
the identification module is used for identifying picture characteristics of each picture stored in the mobile equipment;
the second determining module is used for determining the picture category according to the picture characteristics;
and the classification module is used for dividing each picture into picture sets corresponding to the picture categories of the picture, marking the corresponding picture sets by adopting the picture categories until all stored pictures are divided, and obtaining a plurality of picture sets obtained by pre-classification.
11. The image retrieving apparatus for a mobile device according to claim 10, wherein the classifying module is specifically configured to:
determining whether a picture set corresponding to the picture category of the user exists;
if the picture set corresponding to the picture type of the picture self exists, dividing the picture into the picture sets corresponding to the picture types of the picture self;
and if the picture set corresponding to the picture type of the user does not exist, establishing a new picture set, dividing the pictures into the newly established picture set, and configuring the picture type of the user as the picture type of the newly established picture set.
12. The image retrieving apparatus for a mobile device according to claim 10, wherein the obtaining module is specifically configured to:
shooting a target picture by adopting a camera of the mobile equipment;
and analyzing the first category of the target picture, and taking the first category as the required picture category.
13. The picture retrieval apparatus for a mobile device of claim 10, wherein the obtaining module is further configured to:
displaying all the categories related to the plurality of picture sets obtained by pre-classification;
receiving a user selection instruction, wherein the selection instruction is used for selecting a second category from all the categories;
and taking the second category as the picture category of the demand.
14. The picture retrieval apparatus for a mobile device of claim 12, wherein the retrieval module is specifically configured to:
and directly determining a picture matched with the target picture from the target picture set as the picture of the demand.
15. The picture retrieval apparatus for a mobile device of claim 13, wherein the retrieval module is further configured to:
sequencing the pictures in the target picture set according to a time sequence;
and displaying the sorted pictures.
16. The picture retrieval apparatus for a mobile device of claims 10-15, wherein the picture features include at least one of:
character characteristics, scene characteristics, emotional characteristics of characters, character behavior characteristics and animal characteristics.
17. A non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor implements the picture retrieval method for a mobile device according to any one of claims 1 to 8.
18. A mobile device comprising a housing, a processor, a memory, a circuit board, and a power circuit, wherein the circuit board is disposed inside a space enclosed by the housing, the processor and the memory being disposed on the circuit board; the power supply circuit is used for supplying power to each circuit or device of the mobile equipment; the memory is used for storing executable program codes; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the picture retrieval method for a mobile device according to any one of claims 1 to 8.
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| CN202010127787.3A CN111368111A (en) | 2020-02-28 | 2020-02-28 | Picture retrieval method and device for mobile equipment and mobile equipment |
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| CN202010127787.3A CN111368111A (en) | 2020-02-28 | 2020-02-28 | Picture retrieval method and device for mobile equipment and mobile equipment |
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