CN107908770A - A kind of photo searching method and mobile terminal - Google Patents

Abstract

The present invention provides a photo search method and a mobile terminal, wherein the photo search method includes: acquiring keyword information input by a user, determining a target search function corresponding to the keyword information, and according to the keyword information, treating The gallery executes the target search function to obtain the searched photos. The solution of the present invention can automatically and intelligently search for photos based on the keyword information input by the user, thereby greatly improving photo search efficiency and improving user experience when searching for photos compared with the existing manual search for photos.

Description

A photo search method and mobile terminal

technical field

The invention relates to the field of communication technology, in particular to a photo search method and a mobile terminal.

Background technique

With the development of terminal technology, the photographing function of current mobile terminals such as mobile phones is becoming more and more powerful, and more and more users choose to use mobile phones to take pictures and store the photographs directly in the mobile phone album. In addition, the user can also store the downloaded photos in the photo album of the mobile phone, which may have hundreds or even thousands of photos in the photo album of the mobile phone.

At present, most mobile phones (such as Android phones) do not provide a photo search function, so when a user wants to view a certain photo, he can only manually search in the mobile phone photo album. Among them, when users manually search for photos in the mobile phone album, they can click on the big picture to browse individually, or quickly browse in the thumbnails of the album. However, the efficiency of browsing photos individually is very low, and when there are a large number of photos, a large number of repetitive left and right sliding operations will reduce the user experience; when browsing with album thumbnails, although the efficiency is improved compared with single browsing, but Often because the photos are small and have few details, it is impossible to find the target photo at one time, and you need to swipe back and forth in the album to find it, resulting in low efficiency of searching for photos.

Contents of the invention

Embodiments of the present invention provide a photo search method and a mobile terminal to solve the existing problem of low efficiency of manual photo search.

In order to solve the above problems, in the first aspect, an embodiment of the present invention provides a photo search method applied to a mobile terminal, including:

Obtain keyword information entered by the user;

determining the target search function corresponding to the keyword information;

According to the keyword information, execute the target search function on the gallery to be searched to obtain the searched photos.

In the second aspect, the embodiment of the present invention also provides a mobile terminal, including:

An acquisition module, configured to acquire keyword information input by the user;

A determining module, configured to determine a target search function corresponding to the keyword information;

The executing module is configured to execute the target search function on the gallery to be searched according to the keyword information to obtain the searched photos.

In a third aspect, an embodiment of the present invention also provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the computer program is executed by the The processor implements the steps of the above photo search method when executed.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, wherein, when the program is executed by a processor, the steps of the photo search method above are implemented.

The photo search method and the mobile terminal in the embodiment of the present invention obtain the keyword information input by the user, determine the target search function corresponding to the keyword information, perform the target search function on the library to be searched according to the keyword information, and obtain the search photo, which can be based on The keyword information input by the user can automatically and intelligently search photos, thereby greatly improving photo search efficiency and improving user experience when searching photos compared with existing manual photo search.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required in the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

Fig. 1 is a flowchart of a photo search method according to an embodiment of the present invention;

Fig. 2 is the flow chart of the photo search process of the specific example of the present invention;

Fig. 3 is the schematic diagram of the named photo of the specific example of the present invention;

FIG. 4 is one of the schematic structural diagrams of a mobile terminal according to an embodiment of the present invention;

FIG. 5 is a second structural schematic diagram of a mobile terminal according to an embodiment of the present invention;

FIG. 6 is a third structural schematic diagram of a mobile terminal according to an embodiment of the present invention.

Detailed ways

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required in the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

Referring to Fig. 1, an embodiment of the present invention provides a photo search method applied to a mobile terminal, including the following steps:

Step 101: Obtain keyword information input by the user.

In the embodiment of the present invention, when the user inputs the keyword information, the input can be completed by inputting the keyword information in the search box, or by operating the label on the terminal interface. Specifically, step 101 may include:

Obtain keyword information entered by the user in the search box; or

Keyword information is acquired through operations performed by the user on the labels on the terminal interface.

Wherein, the search box for inputting keyword information may be located on the main interface of the terminal photo album. When you enter keyword information in the search box, you can search for photos precisely based on the keyword information.

The tags on the terminal interface can be used for quick search of photos, that is, relevant searches can be completed without the user manually entering keyword information. Preferably, the tags on the terminal interface can be time tags or character tags. The time label may be a calendar control displayed on the terminal interface for user operation. After the user clicks a certain date in the calendar control, the mobile terminal can obtain the date, search for photos according to the date, and then display all the searched photos. The person tag may be a tag established on the terminal interface according to the person's name. When the user clicks on the person label, the mobile terminal can obtain corresponding person information such as a person's name, and search for photos according to the person's name, and then display all the searched photos.

Step 102: Determine the target search function corresponding to the keyword information.

Among them, when the mobile terminal determines the target search function corresponding to the keyword information, it can first process the keyword information through the existing artificial intelligence AI language processing technology (such as word meaning similarity analysis), and then according to the keyword information processing As a result, the category to which the keyword information belongs is known, and the corresponding target search function is determined and invoked accordingly.

Step 103: According to the keyword information, execute the target search function in the gallery to be searched to obtain the searched photos.

It should be noted that the gallery to be searched in this step can specifically be a gallery in the mobile terminal (ie, a gallery of local photo albums), or a gallery in the cloud (ie, a gallery in a cloud database), depending on the target search function to be executed. The cloud gallery is formed by copying the local album photos to the cloud database. Usually, in order to ensure the accuracy of the photo search process, the cloud gallery and the local album gallery are completely consistent, and in order to ensure that the local album gallery is exactly the same as the cloud gallery when the user searches for photos, the local album can be processed by regular synchronization. Gallery and cloud gallery.

After obtaining the search photos, the mobile terminal may display the obtained search photos, so as to present the obtained search photos to the user.

The photo search method of the embodiment of the present invention obtains the keyword information input by the user, determines the target search function corresponding to the keyword information, and performs the target search function on the library to be searched according to the keyword information to obtain the search photo, which can be based on the user input Keyword information searches photos automatically and intelligently, thereby greatly improving photo search efficiency and improving user experience when searching photos compared to existing manual search photos.

In the embodiment of the present invention, the keyword information input by the user may generally be at least one of the following information: location information, time information, and character information. According to different categories of keyword information, the mobile terminal can determine and invoke different target search functions.

Specifically, when the keyword information input by the user is location information, through the processing of AI language processing technology, it can be determined that the keyword information belongs to the location category, and the corresponding target search function can be determined as the location search function; when the keyword input by the user When the information is time information, through the processing of AI language processing technology, it can be determined that the keyword information belongs to the time category, and the corresponding target search function can be determined as the time search function; when the keyword information input by the user is person (or name) information , through the processing of AI language processing technology, it can be determined that the keyword information belongs to the person category, and the corresponding target search function can be determined as the person search function; when the keyword information input by the user includes both time information and location information, through the AI language The processing of the processing technology can determine that the keyword information belongs to both the time category and the location category, and determine that the corresponding target search function is the time search function and the location search function, and the final search photos are photos obtained by searching with the time search function and shared photos from photos found with place search; etc.

In the following, according to the category to which the keyword information belongs, the corresponding photo search process will be described in different situations.

case one

In this case, the keyword information input by the user is location information, and the corresponding target search function is a location search function. In this case, the process for the mobile terminal to perform the location search function may be:

The mobile terminal recognizes the location corresponding to the scenery in each photo in the cloud gallery, and obtains the recognition result;

According to the recognition result, the mobile terminal selects a photo from the cloud gallery that matches the location corresponding to the scene in the photo and the location information as the search photo. That is, the location corresponding to the scene in the search photo selected from the cloud gallery matches the location information (keyword information). If there is no matching photo in the cloud gallery, the search fails and the search process ends.

It should be pointed out that when the location search function is executed, the corresponding gallery to be searched is a cloud gallery. The reason for choosing the cloud gallery is: for the photos in the mobile terminal, there is no relevant image recognition technology to identify the corresponding location of the scene in the photo; but for the cloud photos, for example, Baidu's image recognition technology (the image recognition technology The technology can provide functions such as image subject detection, general object recognition, brand logo recognition, plant recognition, animal recognition, dish recognition, and car model recognition), and can accurately identify the location corresponding to the scene in the photo.

When matching the location and location information (keyword information) corresponding to the scenery in the photo, because the location corresponding to the scenery in the photo is generally a specific geographic location, such as a certain street in a certain urban area, if the location indicated by the location information is a specific geographic location, then when two specific geographic locations are within a preset distance range, it can be determined that the location corresponding to the scene in the photo matches the location information; if the location indicated by the location information is a larger geographic location, such as a certain For a country or a certain urban area, when the location corresponding to the scenery in the photo can correspond to the location indicated by the location information, it can be determined that the location corresponding to the scenery in the photo matches the location information.

In the embodiment of the present invention, according to whether the photos are taken by the mobile terminal itself, the photos in the cloud library can be further divided into photos taken by the local machine and photos taken by the non-local machine. The photos taken by the local machine are taken by the mobile terminal, and the photos taken by the non-local machine It is not taken by the mobile terminal, but may be downloaded by the mobile terminal. When the mobile terminal takes pictures, due to the positioning function of the terminal, the photos taken by this machine will carry the shooting location information, and the workload of determining the shooting location of the photos taken by this machine is less than that of identifying the location corresponding to the scene, so in order to reduce the workload , for the photos taken by this machine in the cloud gallery, when searching for photos, the mobile terminal can firstly determine the shooting location of each photo in the photos taken by this machine; secondly, filter out the shooting location and The photos that match the location information are obtained to obtain the filtered photos; then, the locations corresponding to the scenery in each photo in the filtered photos are identified to obtain the recognition results; finally, according to the recognition results, the scenery in the photos is selected from the filtered photos The corresponding location and the photos matching the location information are used as search photos.

For example, as shown in FIG. 2, the process for the mobile terminal to perform the location search function on the cloud gallery can be:

Step 21: The mobile terminal classifies the photos in the cloud gallery to obtain photos taken by the machine and photos taken by the machine;

Step 22: For the photos taken by the machine, the mobile terminal determines the shooting location of each photo in the photos taken by the machine;

Step 23: The mobile terminal screens out the photos that match the shooting location and the location information from the photos taken by the mobile terminal, and obtains the filtered photos;

Step 24: The mobile terminal recognizes the location corresponding to the scenery in each photo in the screened photos, and obtains the first recognition result;

Step 25: According to the first recognition result, the mobile terminal selects a photo from the screened photos that matches the place information corresponding to the scene in the photo as the first search photo;

Step 26: For the photos taken by the non-local machine, the mobile terminal recognizes the location corresponding to the scene in each of the photos taken by the non-local machine, and obtains the second recognition result;

Step 27: According to the second identification result, the mobile terminal selects a photo from the photos taken by the non-local machine that matches the location corresponding to the scene in the photo and the location information as the second search photo;

Step 28: Determine the first search photo and the second search photo as the finally searched photos.

In this way, by classifying the cloud library, since the workload of determining the shooting location of the photo taken by the machine is less than that of identifying the location corresponding to the scene, it can reduce the workload of identifying the photo taken by the machine and improve the efficiency of photo search.

case two

In the second case, the keyword information input by the user is person (name) information, and the corresponding target search function is the person search function. In this case, the process for the mobile terminal to perform the person search function can be:

The mobile terminal extracts the face photo corresponding to the person information from the preset face information database according to the person information;

The mobile terminal selects a photo whose similarity with the face photo satisfies a preset condition from a preset cloud face database as a search photo.

It should be noted that the person information generally represents a person's name, such as Zhang San and Li Si. The preset face information database is pre-established in the mobile terminal (local), and stores the corresponding relationship between person information and face photos. When the face information database is pre-established, the user can click the "Face Recognition" button when viewing the photos in the local album, and the mobile terminal can automatically recognize all the face areas in the photos and display them in boxes. At this time, the user can click the box corresponding to the face area, and name the face, as shown in Figure 3, respectively name Zhang San and Li Si in a photo, and after the naming is completed, the mobile terminal can name and The key-value pairs of face photos are stored in the face information database for subsequent use.

The preset cloud face library is pre-established in the cloud, and stores photos of faces identified by performing face recognition on photos in the cloud library. The face recognition technology involved here may be the current face recognition technology of Baidu. When selecting a photo whose similarity with the face photo meets the preset condition from the preset cloud face library, the face recognition technology can be used to calculate the similarity between the photo in the preset cloud face library and the face photo, And select all photos whose similarity is greater than a preset threshold as search photos. If there is no photo whose similarity meets the preset condition in the preset cloud face database, the search will fail and the search process will end.

Case three

In case three, the keyword information input by the user is time information, and the corresponding target search function is a time search function. In this case, the process for the mobile terminal to perform the person search function can be:

The mobile terminal selects the camera in the gallery to take photos;

The mobile terminal determines the shooting time of each photo in the photos taken by the machine;

The mobile terminal selects a photo whose shooting time matches the time information from the photos taken by the mobile terminal as a search photo.

It should be noted that when the time search function is executed, since the shooting time of the photo is the content that users are most concerned about, the photo taken by this machine can best reflect the shooting time of the photo, so the corresponding photo to be searched is the local time in the mobile terminal. taking photos. When matching the shooting time of the photo with time information (keyword information), it can be determined that the shooting time of the photo matches the time information when the time corresponding to the shooting time of the photo and the time information is within a preset time range.

Situation four

In case four, the keyword information input by the user includes both time information and location information, and the corresponding target search functions are time search function and location search function. In this case, the mobile terminal can perform the time search function according to the time information in the keyword information, and perform the location search function according to the location information in the keyword information, and select the photos and locations obtained by searching through the time search function The shared photos among the photos searched by the search function are taken as the final searched photos. For the location search process involved here, refer to the location search process in Case 1, and for the time search process, refer to the time search process in Case 3, which will not be repeated here.

It should be noted that besides the above four situations, the keyword information input by the user may also belong to other categories, such as time category and person category. When the keyword information input by the user belongs to multiple categories, the corresponding target search function is a variety of search functions. Shared photos are the final searched photos.

In the embodiment of the present invention, when the keyword information input by the user is not location information, time information and character information, it may be determined that the keyword information input by the user is other types of information. When the keyword information input by the user is other types of information, the corresponding target search function is a feature information search function. The process for the mobile terminal to perform the feature information search function may be:

According to the keyword information and the preset characteristic information index library, the mobile terminal selects photos whose characteristic information matches the keyword information from the cloud library as search photos.

Wherein, the preset characteristic information index database is pre-established in the cloud, and represents the corresponding relationship between the cloud photos and their characteristic information. When pre-establishing the feature information index library, the feature information (that is, some predefined information that can represent the characteristics of the photo) in each cloud photo can be extracted separately through the existing image recognition technology, and then the cloud photo can be created in the cloud. And the index relationship of the corresponding feature information to obtain the feature information index database.

The above embodiments have described the photo search method of the present invention, and the mobile terminal corresponding to the photo search method of the present invention will be described below in conjunction with the embodiments and the accompanying drawings.

Referring to FIG. 4 , the embodiment of the present invention also provides a mobile terminal, which includes an acquisition module 41 , a determination module 42 and an execution module 43 , which are described in detail as follows.

Wherein, the acquisition module 41 is configured to acquire keyword information input by the user.

The determination module 42 is configured to determine the target search function corresponding to the keyword information.

The executing module 43 is configured to execute the target search function on the gallery to be searched according to the keyword information to obtain the searched photos.

The mobile terminal of the embodiment of the present invention, by acquiring the keyword information input by the user, determines the target search function corresponding to the keyword information, and according to the keyword information, executes the target search function on the gallery to be searched, and obtains the search photo, which can be based on the keyword input by the user. The word information can automatically and intelligently search for photos, which can greatly improve the efficiency of photo search and improve the experience of users when searching for photos compared with the existing manual search for photos.

In the embodiment of the present invention, optionally, the acquiring module 41 is specifically used for:

Obtain the keyword information entered by the user in the search box; or

The keyword information is obtained through operations performed by the user on the labels on the terminal interface.

Optionally, the tags on the terminal interface are time tags or character tags.

Optionally, the keyword information is at least one of the following information: location information, time information, and person information.

In the embodiment of the present invention, when the keyword information is location information, the target search function is a location search function. Referring to FIG. 5 , the execution module 43 includes an identification unit 431 and a first selection unit 432 .

Wherein, the identification unit 431 is configured to identify the location corresponding to the scene in each photo in the cloud gallery, and obtain the identification result.

The first selection unit 432 is configured to select, from the cloud gallery, a photo whose location corresponding to the scene in the photo matches the location information according to the recognition result, as the search photo.

Further, the identification unit 431 includes a determination subunit, a screening subunit and an identification subunit.

Wherein, the determination subunit is configured to determine the shooting location of each of the photos taken by the machine in the cloud gallery.

The screening subunit is configured to filter out photos whose shooting location matches the location information from the photos taken by the machine to obtain the filtered photos.

The recognition subunit is configured to recognize the location corresponding to the scene in each of the screened photos, and obtain the recognition result.

In the embodiment of the present invention, when the keyword information is person information, the target search function is a person search function, as shown in FIG. 5 , the execution module 43 includes an extraction unit 433 and a second selection unit 434 .

Wherein, the extracting unit 433 is configured to extract a face photo corresponding to the person information from a preset face information database according to the person information.

The second selection unit 434 is configured to select a photo whose similarity with the face photo satisfies a preset condition from a preset cloud face database as the search photo.

In the embodiment of the present invention, when the keyword information is time information, the target search function is a time search function. Referring to FIG. 5, the execution module 43 includes a third selection unit 435, a determination unit 436 and a Four selection unit 437 .

Wherein, the third selecting unit 435 is configured to select the photos taken by the machine in the gallery in the mobile terminal.

The determining unit 436 is configured to determine the shooting time of each photo in the photos taken by the local machine.

The fourth selecting unit 437 is configured to select a photo whose shooting time matches the time information from the photos taken by the camera as the search photo.

In the embodiment of the present invention, the keyword information is other types of information, the target search function is a feature information search function, and the execution module 43 is specifically used for:

According to the keyword information and the preset feature information index library, select photos whose feature information matches the keyword information from the cloud gallery as the search photos.

In addition, an embodiment of the present invention also provides a mobile terminal, including a processor, a memory, and a computer program stored in the memory and operable on the processor, wherein the computer program is executed by the processor Each process of the above photo search method embodiment can be realized at the same time, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

Specifically, FIG. 6 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention. The mobile terminal 600 includes, but is not limited to: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, and a sensor 605. , a display unit 606 , a user input unit 607 , an interface unit 608 , a memory 609 , a processor 610 , and a power supply 611 and other components. Those skilled in the art can understand that the structure of the mobile terminal shown in Figure 6 does not constitute a limitation on the mobile terminal, and the mobile terminal may include more or less components than shown in the figure, or combine certain components, or different components layout. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle-mounted terminal, a wearable device, and a pedometer.

Wherein, the radio frequency unit 601 is used to obtain keyword information input by the user;

The processor 610 is configured to determine the target search function corresponding to the keyword information, and execute the target search function on the gallery to be searched according to the keyword information to obtain the search photos.

The mobile terminal 600 of the embodiment of the present invention, by obtaining the keyword information input by the user, determines the target search function corresponding to the keyword information, and according to the keyword information, performs the target search function on the gallery to be searched to obtain the search photos, which can be based on the user input Keyword information searches photos automatically and intelligently, thereby greatly improving photo search efficiency and improving user experience when searching photos compared to existing manual search photos.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 601 can be used for receiving and sending signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 610; in addition, the Uplink data is sent to the base station. Generally, the radio frequency unit 601 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 601 can also communicate with the network and other devices through a wireless communication system.

The mobile terminal provides users with wireless broadband Internet access through the network module 602, such as helping users send and receive emails, browse web pages, and access streaming media.

The audio output unit 603 may convert audio data received by the radio frequency unit 601 or the network module 602 or stored in the memory 609 into an audio signal and output as sound. Also, the audio output unit 603 can also provide audio output related to a specific function performed by the mobile terminal 600 (for example, a call signal reception sound, a message reception sound, etc.). The audio output unit 603 includes a speaker, a buzzer, a receiver, and the like.

The input unit 604 is used for receiving audio or video signals. The input unit 604 can include a graphics processing unit (Graphics Processing Unit, GPU) 6046 and a microphone 6042, and the graphics processing unit 6041 is used for still photos or video images obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The data is processed. The processed image frames may be displayed on the display unit 606 . The image frames processed by the graphics processor 6041 may be stored in the memory 609 (or other storage media) or sent via the radio frequency unit 601 or the network module 602 . The microphone 6042 can receive sound, and can process such sound into audio data. The processed audio data can be converted into a format that can be sent to a mobile communication base station via the radio frequency unit 601 for output in the case of a phone call mode.

The mobile terminal 600 also includes at least one sensor 605, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 6061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 6061 and the display panel 6061 when the mobile terminal 600 moves to the ear / or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is still, and can be used to identify the posture of mobile terminals (such as horizontal and vertical screen switching, related games, etc.) , magnetometer posture calibration), vibration recognition-related functions (such as pedometer, knocking), etc.; the sensor 605 can also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, Infrared sensors, etc., will not be repeated here.

The display unit 606 is used to display information input by the user or information provided to the user. The display unit 606 may include a display panel 6061, and the display panel 6061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.

The user input unit 607 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the mobile terminal. Specifically, the user input unit 607 includes a touch panel 6071 and other input devices 6072 . The touch panel 6071, also referred to as a touch screen, can collect the user's touch operations on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus on the touch panel 6071 or near the touch panel 6071). operate). The touch panel 6071 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to the For the processor 610, receive the command sent by the processor 610 and execute it. In addition, the touch panel 6071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 6071 , the user input unit 607 may also include other input devices 6072 . Specifically, other input devices 6072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

Furthermore, the touch panel 6071 can be covered on the display panel 6061, and when the touch panel 6071 detects a touch operation on or near it, it will be sent to the processor 610 to determine the type of the touch event, and then the processor 610 can The type of event provides a corresponding visual output on the display panel 6061. Although in FIG. 6, the touch panel 6071 and the display panel 6061 are used as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 6071 and the display panel 6061 can be integrated. The implementation of the input and output functions of the mobile terminal is not specifically limited here.

The interface unit 608 is an interface for connecting an external device to the mobile terminal 600 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 608 can be used to receive input from an external device (for example, data information, power, etc.) transfer data between devices.

The memory 609 can be used to store software programs as well as various data. The memory 609 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 609 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The processor 610 is the control center of the mobile terminal, which uses various interfaces and lines to connect various parts of the entire mobile terminal, by running or executing software programs and/or modules stored in the memory 609, and calling data stored in the memory 609 , execute various functions of the mobile terminal and process data, so as to monitor the mobile terminal as a whole. The processor 610 may include one or more processing units; preferably, the processor 610 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 610 .

The mobile terminal 600 can also include a power supply 611 (such as a battery) for supplying power to various components. Preferably, the power supply 611 can be logically connected to the processor 610 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. and other functions.

In addition, the mobile terminal 600 includes some functional modules not shown, which will not be repeated here.

The embodiment of the present invention also provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, each process of the above photo search method embodiment is realized, and the same technology can be achieved. Effect, in order to avoid repetition, will not repeat them here. Wherein, the computer-readable storage medium is, for example, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), a magnetic disk or an optical disk, and the like.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in various embodiments of the present invention.

Embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementations, and the above-mentioned specific implementations are only illustrative, rather than restrictive, and those of ordinary skill in the art will Under the enlightenment of the present invention, without departing from the gist of the present invention and the protection scope of the claims, many forms can also be made, all of which belong to the protection of the present invention.

Claims (12)

1. A kind of 1. photo searching method, applied to mobile terminal, it is characterised in that including：

   Obtain key word information input by user；

   Determine the corresponding target search function of the key word information；

   According to the key word information, treat search picture library and perform the target search function, obtain search photo.
2. 2. according to the method described in claim 1, it is characterized in that, the key word information is location information, the target is searched Suo Gongneng is point searching function, described according to the key word information, treats search picture library and performs the target search function, Search photo is obtained, including：

   The corresponding place of scenery in each photo in the picture library of high in the clouds is identified, obtains recognition result；

   According to the recognition result, the corresponding place of scenery in photo and the location information are chosen from the high in the clouds picture library The photo to match is as described search photo.
3. 3. according to the method described in claim 2, it is characterized in that, scenery in each photo in the picture library to high in the clouds Corresponding place is identified, and obtains recognition result, including：

   Determine the spot for photography of each photo in the machine shooting photo in the high in the clouds picture library；

   The photo that spot for photography is filtered out in photo and is matched with the location information is shot from described the machine, screening is obtained and shines Piece；

   The corresponding place of scenery in each photo in the screening photo is identified, obtains the recognition result.
4. 4. according to the method described in claim 1, it is characterized in that, the key word information is people information, the target is searched Suo Gongneng is personage's function of search, described according to the key word information, treats search picture library and performs the target search function, Search photo is obtained, including：

   According to the people information, human face photo corresponding with the people information is extracted from default face information database；

   Chosen from default high in the clouds face database and meet that the photo of preset condition is searched described in being used as with the similarity of the human face photo Rope photo.
5. 5. according to the method described in claim 1, it is characterized in that, the key word information is temporal information, the target is searched Suo Gongneng is time search function, described according to the key word information, treats search picture library and performs the target search function, Search photo is obtained, including：

   Choose the machine shooting photo in the picture library in mobile terminal；

   Determine the shooting time of each photo in the machine shooting photo；

   Shot from described the machine and shooting time is chosen in photo with the photo that the temporal information matches as described search photograph Piece.
6. A kind of 6. mobile terminal, it is characterised in that including：

   Acquisition module, for obtaining key word information input by user；

   Determining module, for determining the corresponding target search function of the key word information；

   Execution module, for according to the key word information, treating search picture library and performing the target search function, searched for Photo.
7. 7. mobile terminal according to claim 6, it is characterised in that the key word information is location information, the mesh Mark function of search is point searching function, and the execution module includes：

   Recognition unit, for the corresponding place of scenery in each photo in the picture library of high in the clouds to be identified, is identified As a result；

   First chooses unit, for according to the recognition result, the scenery chosen from the high in the clouds picture library in photo to be corresponding The photo that place matches with the location information is as described search photo.
8. 8. mobile terminal according to claim 7, it is characterised in that the recognition unit includes：

   Determination subelement, for determining the spot for photography of each photo in the shooting photo of the machine in the high in the clouds picture library；

   Subelement is screened, for shooting the photograph that spot for photography is filtered out in photo and is matched with the location information from described the machine Piece, obtains screening photo；

   Identify subelement, for the corresponding place of scenery in each photo in the screening photo to be identified, obtain To the recognition result.
9. 9. mobile terminal according to claim 6, it is characterised in that the key word information is people information, the mesh Mark function of search is personage's function of search, and the execution module includes：

   Extraction unit, for according to the people information, being extracted and the people information pair from default face information database The human face photo answered；

   Second chooses unit, meets preset condition with the similarity of the human face photo for being chosen from default high in the clouds face database Photo as described search photo.
10. 10. mobile terminal according to claim 6, it is characterised in that the key word information is temporal information, the mesh Mark function of search is time search function, and the execution module includes：

    3rd chooses unit, for choosing the shooting photo of the machine in the picture library in mobile terminal；

    Determination unit, for determining the shooting time of each photo in the machine shooting photo；

    4th chooses unit, for shooting the photograph that shooting time is chosen in photo and is matched with the temporal information from described the machine Piece is as described search photo.
11. 11. a kind of mobile terminal, including memory, processor and it is stored on the memory and can transports on the processor Capable computer program, it is characterised in that such as claim 1 to 5 is realized when the computer program is performed by the processor Any one of photo searching method the step of.
12. 12. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that described program is processed The step of photo searching method as any one of claim 1 to 5 is realized when device performs.