CN108494947B

CN108494947B - Image sharing method and mobile terminal

Info

Publication number: CN108494947B
Application number: CN201810136744.4A
Authority: CN
Inventors: 姚文玉
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2018-02-09
Filing date: 2018-02-09
Publication date: 2021-01-26
Anticipated expiration: 2038-02-09
Also published as: CN108494947A

Abstract

The embodiment of the invention provides an image sharing method and a mobile terminal, wherein the method comprises the following steps: carrying out image recognition on a target image to be shared to obtain an image type; determining an alternative sharing object of the target image according to the image type; and determining at least one target sharing object selected by the user from the alternative sharing objects, and sending the target image to the determined at least one target sharing object. According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

Description

Image sharing method and mobile terminal

Technical Field

The invention relates to the technical field of intelligent recognition, in particular to an image sharing method and a mobile terminal.

Background

At present, with the rapid development of mobile communication technology, mobile terminals (such as mobile phones) have become indispensable electronic consumer products in people's daily life, and with the increasing popularization of smart phones, smart phones have been integrated into various aspects of life, for example, smart phones have become main electronic products for information interaction between people. Meanwhile, with the continuous upgrading of the photographing quality of the smart phone, and the diversified application software with the beauty function, especially, the smart phone is used for photographing without carrying a camera when going out, which is convenient and can photograph a photo with a good beauty effect, so the smart phone also becomes a main tool for photographing for people. After a user takes a picture or performs a screen capture operation to obtain a screen capture image, if the user needs to share the target image with friends and relatives, the user usually uses a certain instant messaging application (e.g., WeChat application) to send the target image to a certain contact or a certain chat group so as to share the target image with people.

Currently, an image sharing method is provided in the related art, and the image sharing method mainly includes: the user selects a used instant chat application, clicks and opens the instant chat application, searches a contact person or a contact person group to be shared, enters a chat interface of the contact person or the contact person group, clicks a photo sharing control, enters a mobile phone album, selects a target image to be shared, and finally sends the target image to the chat interface of the selected contact person or the contact person group.

Therefore, the problems that the sharing operation is complicated and the sharing time is long exist in the conventional image sharing method.

Disclosure of Invention

The embodiment of the invention aims to provide an image sharing method and a mobile terminal, and aims to solve the problems that the sharing operation is more complicated and the sharing time is long when the conventional image sharing method is adopted.

In order to solve the above technical problem, the embodiment of the present invention is implemented as follows:

in a first aspect, an embodiment of the present invention provides an image sharing method, including:

carrying out image recognition on a target image to be shared to obtain an image type;

determining an alternative sharing object of the target image according to the image type;

and determining at least one target sharing object selected by the user from the candidate sharing objects, and sending the target image to the at least one target sharing object.

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

the image recognition module is used for carrying out image recognition on a target image to be shared to obtain an image type;

the sharing object determining module is used for determining an alternative sharing object of the target image according to the image type;

and the target image sending module is used for determining at least one target sharing object selected by the user from the candidate sharing objects and sending the target image to the at least one target sharing object.

In a third aspect, an embodiment of the present invention provides a mobile terminal, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the image sharing method according to the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the image sharing method according to the first aspect are implemented.

According to the image sharing method and the mobile terminal, the target image to be shared is subjected to image recognition, and the image type is obtained; determining an alternative sharing object of the target image according to the image type; and determining at least one target sharing object selected by the user from the alternative sharing objects, and sending the target image to the determined at least one target sharing object. According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a schematic view of an application scenario of an image sharing method according to an embodiment of the present invention;

fig. 2 is a schematic flowchart of a first image sharing method according to an embodiment of the present invention;

fig. 3 is a schematic flowchart of a second image sharing method according to an embodiment of the present invention;

fig. 4 is a schematic flowchart illustrating an image sharing method according to a third embodiment of the present invention;

fig. 5 is a fourth flowchart illustrating an image sharing method according to an embodiment of the present invention;

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

Fig. 7 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The embodiment of the invention provides an image sharing method and a mobile terminal, which can realize intelligent identification of a target sharing object of a target image, so that a user can share the target image to the target sharing object conveniently, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be shared quickly and conveniently, and the user experience is improved.

In the embodiment of the present invention, the mobile terminal may be a smart phone, a tablet computer, or the like, and taking the smart phone as an example, the image sharing method provided in the embodiment of the present invention may be applied in an application scenario as shown in fig. 1, where fig. 1 includes a plurality of mobile terminals 100, and every two mobile terminals are connected through network communication. In fig. 1, a certain mobile terminal 100 needs to share a target image with other mobile terminals 100, and by the image sharing method and the mobile terminal provided in the embodiments of the present invention, a target sharing object of the target image can be intelligently identified, so that a user can share the target image with the target sharing object conveniently, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the user experience is improved.

Fig. 2 is a first flowchart of an image sharing method according to an embodiment of the present invention, where the method in fig. 2 can be executed by the mobile terminal 100 in fig. 1, and particularly executed by a program module disposed in the mobile terminal 100, as shown in fig. 2, the method at least includes the following steps:

s201, carrying out image recognition on a target image to be shared to obtain an image type; when a new photo is detected to be added to the photo album, the photo is automatically subjected to image recognition, image data contained in the photo is determined, and an image type corresponding to the image data is automatically determined based on the determined image data.

S202, determining an alternative sharing object of the target image according to the identified image type; specifically, based on the image type determined in step S201, at least one candidate sharing object of the target image is determined, where the candidate sharing object may be a contact or a contact group including multiple contacts.

S203, determining at least one target sharing object selected by the user from the candidate sharing objects, and sending the target image to the determined at least one target sharing object, specifically, in order to meet the sharing requirements of different users, a plurality of candidate sharing objects may be displayed on a display screen of the mobile terminal, and the at least one target sharing object is selected according to the selection condition of the user in the candidate sharing objects, where the determined candidate sharing objects may all be selected as the target sharing objects, and may also be partially selected as the target sharing objects.

In the embodiment of the invention, the target image to be shared is subjected to image recognition to obtain the image type; determining an alternative sharing object of the target image according to the image type; and determining at least one target sharing object selected by the user from the alternative sharing objects, and sending the target image to the determined at least one target sharing object. According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

As shown in fig. 3, the S201 performs image recognition on the target image to be shared to obtain an image type, and specifically includes:

and S2011, performing image recognition and classification on the target image by using a pre-trained image recognition model to obtain the image type.

Specifically, in the step S2011, image recognition and classification are performed on the target image by using a pre-trained image recognition model, so as to obtain an image type, and the method specifically includes:

step one, inputting a target image into a pre-trained image recognition model, and recognizing image content in the target image by using at least one of the following image recognition modes, specifically:

(1) the method comprises the steps of carrying out portrait recognition on a target image to obtain first image recognition data, specifically, extracting portrait information from the target image, and determining the category of the portrait information, wherein the category at least comprises the following steps: gender, race, age, for example, to determine whether the portrait information is male or female.

(2) Performing scene recognition on the target image to obtain second image recognition data, specifically, extracting symbolic scene information from the target image and acquiring shooting position information of the target image; and determining second image identification data according to the extracted symbolic scene information and the acquired shooting position information, wherein the symbolic scene information comprises: schools, hospitals, office buildings, parks, scenic spots, restaurants, stadiums, malls, and the like.

(3) Performing character recognition on the target image to obtain third image recognition data, specifically, extracting character information from the target image, performing word segmentation processing on the extracted character information, selecting keywords from the obtained multiple words, performing occurrence frequency statistical analysis on the selected keywords, and determining the third image recognition data according to the statistical analysis result and the expression meanings of the keywords.

(4) Carrying out object recognition on a target image to obtain fourth image recognition data, specifically, extracting contour information from the target image, matching the extracted contour information with a preset object contour sample, determining an object type contained in the target image according to matching similarity, and obtaining the fourth image recognition data, wherein the object type comprises: animals, plants, item hangers, gourmet varieties, and the like.

And secondly, determining the image type of the target image according to at least one of the determined first image identification data, second image identification data, third image identification data and fourth image identification data, wherein the target image can be an image containing child image data, an image containing school image data, an image containing professional technical knowledge image data and the like.

As shown in fig. 4, the determining, in step S202, the candidate sharing object of the target image according to the identified image type specifically includes:

s2021, determining a label attribute value of a target image according to the image type by using a pre-established label mapping model; specifically, the obtained image type is input to a pre-established label mapping model, and a numerical value output by the label mapping model is determined as a label attribute value of the target image.

S2022, determining the contact object tag corresponding to the range of the obtained tag attribute value.

And S2023, taking at least one communication contact object marked with the determined contact object label as an alternative sharing object of the target image.

The label mapping model is obtained by training a plurality of image sharing samples, and specifically comprises the following steps:

for example, the image sharing sample is: sharing a photo containing child image data to a contact person or a contact group with a contact object label of 'family'; the range of the tag attribute value corresponding to the contact object tag being "family" is from a to B (e.g., from 0 to 10). Further, in the subsequent intelligent identification process, if the target image contains child portrait data, the determined tag attribute value of the target image belongs to the tag attribute value interval range corresponding to the contact object tag of 'family'.

As another example, the image sharing sample is: sharing a photo containing image data of graduation group photo to a contact person or a contact group with a contact object label of 'classmate'; the range of the tag attribute value range corresponding to the contact object tag of "classmate" is D to E (for example, 11 to 20). Further, in the subsequent intelligent identification process, if the target image contains the portrait data of the graduation group photo, the determined label attribute value of the target image belongs to the label attribute value interval range corresponding to the relation object label of 'classmate'.

For another example, the image sharing sample is: sharing a screenshot of image data containing professional technical knowledge to a contact person or a contact group with a contact object label of 'colleague'; the range of the tag attribute value interval corresponding to the contact object tag of "colleague" is F to G (e.g. 21 to 30). Further, in the subsequent intelligent identification process, if the target image contains portrait data of professional technical knowledge, the determined tag attribute value of the target image belongs to the tag attribute value interval range corresponding to the contact object tag of the colleague.

Specifically, the label mapping model may be represented as: y ═ f (x);

wherein y represents a tag attribute value of the target image, x represents an image type of the target image, i.e., an image type determined from portrait identification data obtained by image recognition and classification, and f represents a correspondence between the image type and the tag attribute value.

When the method is specifically implemented, inputting the image type of the target image into the label mapping model, wherein the output result of the label mapping model is the label attribute value of the target image; after the label attribute value of the target image is determined, determining the label attribute value interval range to which the label attribute value of the target image belongs based on the corresponding relation between the pre-established label attribute value interval range and the contact object label; and taking the contact object label corresponding to the label attribute value interval range as a contact object label of an object to be shared of the target image.

In S2023, the step of using the at least one communication contact object marked with the determined contact object tag as the candidate sharing object of the target image specifically includes:

step one, searching a communication contact object marked with a determined contact object label; the communication contact object may be a contact person or a contact group including a plurality of contact persons.

And step two, taking the searched at least one communication contact object as an alternative sharing object of the target image, for example, if the determined contact object label is 'family', all communication contact objects marked as 'family' are taken as alternative sharing objects of the target image.

Wherein, if the determined number of the alternative sharing objects is multiple, in order to facilitate the user to accept or reject according to the actual sharing requirement, and simultaneously, the tag mapping model can be optimized based on the selection result of the user, so as to improve the accuracy of the intelligently identified sharing object, based on this, the S203 determines at least one target sharing object selected by the user in the alternative sharing objects, and sends the target image to the determined at least one target sharing object, and specifically includes:

the method comprises the steps that firstly, a sharing recommendation list containing a plurality of alternative sharing objects is displayed according to recommendation priority; specifically, if the number of the determined candidate sharing objects is multiple, the sharing degree of each candidate sharing object may be scored based on historical analysis data, the sharing recommendation list is generated according to the sequence of the sharing degree from high to low, and the recommendation priority is determined according to the sharing degree of the candidate sharing objects, so that the user can view the contact or the contact group with the maximum preset sharing probability preferentially.

And step two, sending the target image to at least one target sharing object selected by the user based on the sharing recommendation list.

Further, in order to prevent repeated sharing, the situation that a contact receives the same target image on both the personal contact interface and the contact group interface is avoided, and further inconvenience is avoided for the user, and based on this, the target image is sent to at least one target sharing object selected by the user based on the sharing recommendation list, specifically including:

if the target sharing object selected by the user based on the sharing recommendation list comprises a contact group and contacts, judging whether the contact group comprises the contacts or not aiming at each contact;

if not, taking the contact as a target sharing object;

and if so, taking the contact group as a target sharing object.

Considering that in the intelligent identification process, the contact object tag needs to be matched according to the image type, and then the alternative sharing object is determined according to the contact object tag, the S201 performs image identification on the target image to be shared, and before the image type is obtained, the method further includes:

setting a contact object label for a communication contact object stored in a mobile terminal in advance; the contact object tag may be family, friend, colleague, classmate, etc., for example, the contact object "father" is labeled as "family", and the contact object tag may also be a virtual tag, for example, the contact object "zhang san" is labeled as "pp".

Establishing a corresponding relation between a contact object label and a label attribute value interval range, specifically, referring to the corresponding relation when training a label mapping model, that is, taking the image type of a sample image, the contact object label of a shared contact person or contact group, and the corresponding relation between the label attribute value interval ranges of the contact object labels as an image sharing sample when training the label mapping model.

For example, the range of the tag attribute value range corresponding to the contact object tag being "family" is from a to B (e.g., from 0 to 10);

the range of the tag attribute value interval corresponding to the contact object tag of "classmate" is from D to E (for example, from 11 to 20);

the range of the tag attribute value interval corresponding to the contact object tag of "colleague" is F to G (e.g. 21 to 30).

Specifically, the contact object tag of each communication contact object may be manually set by the user, or may be automatically set based on the image sharing record of the user, and based on this, the setting of the contact object tag for the communication contact object stored in the mobile terminal in advance specifically includes:

and setting a contact object tag for the communication contact object stored in the mobile terminal according to the image sharing record of the user, wherein if the sharing object related to the image sharing record is not set with the contact object tag, the system automatically sets the contact object tag for the sharing object.

Correspondingly, in order to realize that when the relevance of the subsequent target image and the image related in the image sharing record is relatively high, the communication contact object marked with the contact object label of the sharing object is automatically used as the alternative sharing object of the target image, the method further comprises the following steps:

updating a label mapping model according to an image sharing record of a user, wherein the label mapping model is used for determining a label attribute value of a target image, and specifically, the image sharing record includes: and taking the image sharing record as an image sharing sample according to the image type of the image, the label of the contact object of the sharing object and the corresponding relation between the label attribute value interval ranges of the label of the contact object label, and training the label mapping model again based on the new image sharing sample.

Further, in order to improve the accuracy of the intelligently identified sharing object and make the determined sharing object better conform to the sharing preference of the user, as shown in fig. 5, the method further includes:

s204, obtaining a sharing object selection result of the user aiming at the target image; the sharing object selection result is determined based on a target sharing object selected by the user besides the alternative sharing object, that is, if the determined alternative sharing object does not include the target object to be shared by the user, at this time, the target sharing object manually selected by the user is inconsistent with the system recommendation result, which indicates that the accuracy of the intelligently identified sharing object is relatively low.

And S205, sending the target image to a target sharing object selected by the user besides the alternative sharing object.

S206, updating a tag mapping model according to the obtained sharing object selection result, where the tag mapping model is used to determine a tag attribute value of the target image, and the sharing object selection result specifically includes: and taking the selection result of the user as an image sharing sample, and training the label mapping model again based on the new image sharing sample.

In specific implementation, the determined alternative sharing objects are displayed on a display screen of the mobile terminal, a selection control (default is a selected state) is displayed at a preset position of each alternative sharing object, and if click confirmation of a user is received, the target image is shared to the corresponding contact or the contact group.

For example, a small V takes a baby photo, the photo is subjected to image recognition and classification, the obtained image type is the type containing child portrait data, the contact object label is determined to be 'family', the communication contact object marked as 'family' is displayed on the display screen of the mobile terminal, a selection control (default is in a selected state) is displayed at a preset position of each communication contact object, and if click confirmation of the small V is received, the photo is shared with the family.

For another example, if a small V returns to a mother school and takes a picture of the school, the picture is subjected to image recognition and classification, the obtained image type includes school portrait data, the contact object label is determined to be "classmate", the communication contact object marked as "classmate" is displayed on the display screen of the mobile terminal, a selection control (default is selected state) is displayed at the preset position of each communication contact object, and if click confirmation of the small V is received, the picture is shared with the classmate.

For another example, a small V engaged in software development work carries out screenshot storage on a technical paragraph, the picture is subjected to image recognition and classification, the obtained image type is the portrait data containing professional technical knowledge, the contact object label is determined to be a colleague, the communication contact object marked as the colleague is displayed on the display screen of the mobile terminal, a selection control (the default is a selected state) is displayed at a preset position of each communication contact object, and if click confirmation of the small V is received, the picture is shared with the colleague.

According to the image sharing method, the target image to be shared is subjected to image recognition, and the image type is obtained; determining an alternative sharing object of the target image according to the image type; and determining at least one target sharing object selected by the user from the alternative sharing objects, and sending the target image to the determined at least one target sharing object. According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

Based on the same technical concept, an embodiment of the present invention further provides a mobile terminal corresponding to the image sharing method provided in the foregoing embodiment, where fig. 6 is a schematic diagram of a first module composition of the mobile terminal provided in the embodiment of the present invention, and the mobile terminal is configured to execute the image sharing method described in fig. 1 to 5, and as shown in fig. 6, the mobile terminal includes:

the image recognition module 601 is configured to perform image recognition on a target image to be shared to obtain an image type;

a shared object determining module 602, configured to determine, according to the image type, an alternative shared object of the target image;

a target image sending module 603, configured to determine at least one target sharing object selected by the user from the candidate sharing objects, and send the target image to the at least one target sharing object.

Optionally, the image recognition module 601 is specifically configured to:

and carrying out image recognition and classification on the target image by using a pre-trained image recognition model to obtain an image type.

Optionally, the shared object determining module 602 is specifically configured to:

determining a label attribute value of the target image according to the image type by utilizing a pre-established label mapping model;

determining a contact object tag corresponding to the range of the tag attribute value;

and taking at least one communication contact object marked with the contact object label as an alternative sharing object of the target image.

Optionally, if the determined number of the candidate sharing objects is multiple, the target image sending module 603 is specifically configured to:

displaying a sharing recommendation list containing a plurality of alternative sharing objects according to the recommendation priority;

and sending the target image to at least one target sharing object selected by the user based on the sharing recommendation list.

Optionally, the mobile terminal further includes:

the mapping model updating module is used for acquiring a sharing object selection result of a user aiming at a target image, wherein the sharing object selection result is determined based on a target sharing object selected by the user from the alternative sharing objects; and updating a label mapping model according to the obtained sharing object selection result, wherein the label mapping model is used for determining a label attribute value of a target image.

The mobile terminal in the embodiment of the invention identifies the target image to be shared to obtain the image type; determining an alternative sharing object of the target image according to the image type; and determining at least one target sharing object selected by the user from the alternative sharing objects, and sending the target image to the determined at least one target sharing object. According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

The mobile terminal provided by the embodiment of the invention can realize each process in the embodiment corresponding to the image sharing method, and is not repeated here to avoid repetition.

Based on the same technical concept, an embodiment of the present invention further provides a mobile terminal corresponding to the image sharing method provided in the foregoing embodiment, where the device is configured to execute the image sharing method, fig. 7 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention, and the mobile terminal 100 shown in fig. 7 includes, but is not limited to: radio frequency unit 101, network module 102, audio output unit 103, input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 7 is not intended to be limiting of mobile terminals, and that a mobile terminal may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. 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 palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

The processor 110 is configured to perform image recognition on a target image to be shared to obtain an image type;

According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

The processor 110 is specifically configured to:

the image recognition of the target image to be shared to obtain the image type comprises the following steps:

The processor 110 is specifically configured to:

the determining the alternative sharing object of the target image according to the image type includes:

The processor 110 is specifically configured to:

if the determined number of the candidate sharing objects is multiple, determining at least one target sharing object selected by the user from the candidate sharing objects, and sending the target image to the at least one target sharing object, including:

Wherein, the processor 110 is further configured to:

obtaining a sharing object selection result of a user aiming at a target image, wherein the sharing object selection result is determined based on a target sharing object selected by the user from the alternative sharing objects;

and updating a label mapping model according to the obtained sharing object selection result, wherein the label mapping model is used for determining a label attribute value of a target image.

The mobile terminal 100 in the embodiment of the present invention performs image recognition on a target image to be shared to obtain an image type; determining an alternative sharing object of the target image according to the image type; and determining at least one target sharing object selected by the user from the alternative sharing objects, and sending the target image to the determined at least one target sharing object. According to the embodiment of the invention, the target sharing object of the target image can be intelligently identified, so that the target image can be conveniently shared to the target sharing object by a user, the intellectualization of image sharing is realized, the image sharing operation is simplified, the target image can be quickly and conveniently shared, and the use experience of the user is improved.

It should be noted that, the mobile terminal 100 provided in the embodiment of the present invention can implement each process implemented by the mobile terminal in the above-mentioned image sharing method embodiment, and for avoiding repetition, details are not described here again.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 101 may be used for receiving and sending signals during a message transmission or call process, and specifically, after receiving downlink data from a base station, the downlink data is processed by the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 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 101 can also communicate with a network and other devices through a wireless communication system.

The mobile terminal provides wireless broadband internet access to the user through the network module 102, such as helping the user send and receive e-mails, browse webpages, access streaming media, and the like.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the network module 102 or stored in the memory 109 into an audio signal and output as sound. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 includes a speaker, a buzzer, a receiver, and the like.

The input unit 104 is used to receive an audio or video signal. The input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, and the Graphics processor 1041 processes image data of a still picture or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the network module 102. The microphone 1042 may receive sound and may be capable of processing such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 105 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 includes a touch panel 1071 and other input devices 1072. Touch panel 1071, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 1071 (e.g., operations by a user on or near touch panel 1071 using a finger, stylus, or any suitable object or attachment). The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and receives and executes commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. Specifically, other input devices 1072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.

Further, the touch panel 1071 may be overlaid on the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although in fig. 7, the touch panel 1071 and the display panel 1061 are two independent components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 is an interface through which an external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

In addition, the mobile terminal 100 includes some functional modules that are not shown, and thus, the detailed description thereof is omitted.

Preferably, an embodiment of the present invention further provides a mobile terminal, which includes a processor 110, a memory 109, and a computer program stored in the memory 109 and capable of running on the processor 110, where the computer program, when executed by the processor 110, implements each process of the above-mentioned embodiment of the image sharing method, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

Further, corresponding to the image sharing method provided in the foregoing embodiment, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored on the computer readable storage medium, and when the computer program is executed by the processor 110, the steps of the image sharing method embodiment are implemented, and the same technical effects can be achieved, and in order to avoid repetition, details are not described here again. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.

For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described in this disclosure. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.

It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the spirit and scope of the invention as defined in the appended claims. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. An image sharing method is applied to a mobile terminal, and is characterized by comprising the following steps:

determining at least one target sharing object selected by a user from the alternative sharing objects, and sending the target image to the at least one target sharing object;

2. The method according to claim 1, wherein the image recognition of the target image to be shared to obtain the image type comprises:

3. The method according to claim 1, wherein if the determined number of the candidate sharing objects is multiple, the determining at least one target sharing object selected by the user from the candidate sharing objects, and sending the target image to the at least one target sharing object comprises:

4. The method of any of claims 1 to 3, further comprising:

5. A mobile terminal, comprising:

the target image sending module is used for determining at least one target sharing object selected by a user from the alternative sharing objects and sending the target image to the at least one target sharing object;

the shared object determining module is specifically configured to:

6. The mobile terminal of claim 5, wherein the image recognition module is specifically configured to:

7. The mobile terminal according to claim 5, wherein if the determined number of the candidate sharing objects is multiple, the target image sending module is specifically configured to:

8. The mobile terminal according to any of claims 5 to 7, wherein the mobile terminal further comprises: