CN110266994A - Video call method, video call device and terminal - Google Patents

Abstract

The present application is applicable to the technical field of communication, and provides a video call method, a video call device, and a terminal, wherein the method includes: acquiring a video image sent by the target peer; determining that the video image contains a human face according to the video image In the case of an image, the target face data matching the face image is obtained from the preset face database; based on the target face data, the video image is carried out to restore the face clarity to obtain the target video Image: displaying the target video image, improving the image quality of the face during the video call, improving the definition of the picture, and realizing the high-definition video call.

Description

A video call method, video call device and terminal

technical field

The present application belongs to the technical field of communication, and in particular relates to a video call method, a video call device and a terminal.

Background technique

With the development of society, the safety of students and young children is valued by people. Parents usually equip their children with electronic devices such as phones and watches, so that they can make video or telephone contact with their children in time, and realize the positioning and retrieval of children when they are lost.

However, current devices such as phones and watches are usually affected by factors such as camera quality, network quality, power consumption, and ambient light. During a video call, the portrait displayed on the opposite end is relatively blurred, and the video call experience is not very good. The current common practice is to increase the pixel of the camera, but the improvement of the pixel of the camera still cannot offset the impact of other factors on the video clarity, and cannot truly realize high-definition video calls.

Contents of the invention

In view of this, the embodiment of the present application provides a video call method, a video call device, and a terminal to solve the problems in the prior art that are affected by factors such as camera quality, network quality, power consumption, and ambient light. Not a high question.

The first aspect of the embodiments of the present application provides a video call method, including:

Obtain the video image sent by the target peer;

According to the video image, when it is determined that the video image contains a human face image, the target human face data matching the human face image is obtained from a preset human face database;

Based on the target face data, performing face definition restoration on the video image to obtain the target video image;

The target video image is displayed.

The second aspect of the embodiment of the present application provides a video call device, including:

The first obtaining module is used to obtain the video image sent by the target peer;

The second acquisition module is configured to acquire target face data matching the face image from a preset face database when it is determined that the video image contains a face image according to the video image;

A restoration module, configured to restore the face definition of the video image based on the target face data, to obtain the target video image;

A display module, configured to display the target video image.

The third aspect of the embodiments of the present application provides a terminal, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the The steps of the method as described in the first aspect.

A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

A fifth aspect of the present application provides a computer program product, where the computer program product includes a computer program, and when the computer program is executed by one or more processors, the steps of the method described in the first aspect above are realized.

It can be seen from the above that in the embodiment of the present application, by acquiring the video image sent by the target peer, and in the case of determining that the video image contains a face image, the target person matching the face image is obtained from the preset face database. Face data; based on the target face data, the face definition of the video image is repaired, the target video image is obtained and displayed, and the video call is improved without increasing the traffic and power consumption of the peer end and without changing the hardware settings of the peer end The image quality of the face in the process is improved to improve the clarity of the picture and realize high-definition video calls.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the accompanying drawings that need to be used in the descriptions of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are only for the present application For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

FIG. 1 is a flow chart 1 of a video calling method provided by an embodiment of the present application;

FIG. 2 is a second flow chart of a video call method provided by an embodiment of the present application;

FIG. 3 is a structural diagram of a video call device provided by an embodiment of the present application;

FIG. 4 is a structural diagram of a terminal provided by an embodiment of the present application.

Detailed ways

In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and/or components, but does not exclude one or more other features. , whole, step, operation, element, component and/or the presence or addition of a collection thereof.

It should also be understood that the terminology used in the specification of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should also be further understood that the term "and/or" used in the description of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations .

As used in this specification and the appended claims, the term "if" may be construed as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context . Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed, depending on the context, to mean "once determined" or "in response to the determination" or "once detected [the described condition or event] ]” or “in response to detection of [described condition or event]”.

In a specific implementation, the terminals described in the embodiments of the present application include but are not limited to other portable devices such as mobile phones, laptop computers or tablet computers with touch-sensitive surfaces (eg, touch screen displays and/or touch pads). It should also be appreciated that in some embodiments, the device is not a portable communication device, but a desktop computer with a touch-sensitive surface (eg, a touchscreen display and/or a touchpad).

In the ensuing discussion, a terminal including a display and a touch-sensitive surface is described. However, it should be understood that a terminal may include one or more other physical user interface devices such as a physical keyboard, mouse and/or joystick.

The terminal supports various applications such as one or more of the following: drawing application, presentation application, word processing application, website creation application, disk burning application, spreadsheet application, gaming application, telephony application programs, video conferencing applications, email applications, instant messaging applications, exercise support applications, photo management applications, digital camera applications, digital video camera applications, web browsing applications, digital music player applications, and and/or digital video player applications.

Various applications that can be executed on the terminal can use at least one common physical user interface device, such as a touch-sensitive surface. One or more functions of the touch-sensitive surface and corresponding information displayed on the terminal may be adjusted and/or changed between applications and/or within the respective applications. In this way, the common physical architecture (eg, touch-sensitive surface) of the terminal can support various applications with a user interface that is intuitive and transparent to the user.

It should be understood that the sequence numbers of the steps in this embodiment do not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present application.

In order to illustrate the technical solutions described in this application, specific examples are used below to illustrate.

Referring to FIG. 1 , FIG. 1 is a flowchart 1 of a video call method provided by an embodiment of the present application. As shown in Figure 1, a video call method, the method includes the following steps:

Step 101, acquire the video image sent by the target peer.

The execution subject of the video call method is an electronic device with a video call function, which may be a mobile phone, a tablet computer, a phone watch, and the like.

The target peer is an electronic device with a video call function, which may also be a mobile phone, a tablet computer, a phone watch, and the like. Specifically, optionally, the execution subject is a mobile phone or a tablet computer, and the target peer is a phone watch, but not limited thereto.

In this step, after the video connection between the execution subject and the target peer end, the execution subject starts to acquire the video image transmitted from the target peer end for the next processing.

Step 102, according to the video image, if it is determined that the video image contains a human face image, acquire target human face data matching the human face image from a preset human face database.

After obtaining the video image sent by the peer end, it is necessary to judge whether the video image contains a face image. If it is recognized that it contains a face image, it is necessary to further obtain the stored matching target face from the preset face database. data.

Wherein, acquiring the target face data matching the face image from the preset face database includes: acquiring target face data matching the face display features in the face image from the preset face database Face data; or obtain face data associated with the target contact information corresponding to the target peer from a preset face database, and determine the face data as target face data matching the face image or obtain from the preset face database the face data that matches the face display features in the face image and is associated with the target contact information corresponding to the target peer as the target face data .

Specifically, as an optional implementation manner, wherein the acquiring the target face data matching the face image from the preset face database includes:

judging whether there is target contact information corresponding to the target peer in the address book;

If there is target contact information corresponding to the target peer in the address book, acquiring initial face data associated with the target contact information from the preset face database;

Determining the initial face data as target face data matching the face image;

Wherein, the face data in the preset database is in one-to-one correspondence with different contact information in the address book.

During this process, the face data in the preset face database is associated with the contact information in the address book. One face data corresponds to one contact information.

Wherein, the preset face database may be stored in a local database, or a preset face database stored on other devices or cloud devices, which is not specifically limited here.

In the specific implementation process, it is necessary to model the face data in advance: for example, pre-collect face information that can be restored in high-definition through the APP in the mobile phone, perform high-definition face modeling, and store the modeled data in the mobile phone database.

Specifically, the construction of the preset face database can be realized through different technical means.

As an optional implementation manner, wherein, according to the video image, if it is determined that the video image contains a human face image, the face image matching the human face image is obtained from a preset face database. Before the target face data, it also includes:

Collect face images in different video calls to obtain preliminary face data;

Screening the screened face data meeting the requirements of the definition index from the preliminary face data;

Determining the contact information of the opposite end corresponding to the different video calls;

The screened face data and the contact information are associated and stored to obtain the preset face database.

In this process, when the face database is constructed, it is necessary to collect face data during different video calls with different peers. Screen the face data whose clarity index meets the requirements and store it in association with the contact information of the corresponding counterpart to realize the generation of data in the face database and the construction of the face database, which can save the need for special recognition and collection of faces of different contacts The implementation process is more convenient, and with the continuous progress of video calls, the continuous correction and improvement of face data can be realized.

As another optional implementation manner, wherein, according to the video image, if it is determined that the video image contains a human face image, obtain the image matching the human face image from a preset human face database. Before the target face data, it also includes:

Output face data collection interface, different contact information is displayed in the face data collection interface;

In the case of receiving a collection trigger input of face data, face data collection is performed by an image collection device, wherein one collection trigger input corresponds to one contact information;

The collected face data is stored in association with the contact information to obtain the preset face database.

In this process, when the face database is constructed, it is necessary to display the face data collection interface for the user to select different contact information, and collect the face data of the corresponding contacts, and then combine the face data of the relevant contacts with the corresponding The contact information of the corresponding terminal is stored associatively to realize the generation of data in the face database and the construction of the face database. The special collection process can realize the collection of clearer and complete face information.

Specifically, the collection process can collect and store the face information of the contact during the first use, or it can be performed when the contact information is added, which is not specifically limited here.

Step 103, based on the target face data, perform face definition restoration on the video image to obtain a target video image.

When performing face definition restoration on a video image, it is specifically to restore the definition of the face image in the video image, repair the local area of the face in the video image, and improve the accuracy of the face part in the overall image. Display clarity.

In the specific implementation process, a mobile phone and a phone watch are taken as examples for illustration. When the video between the parent’s mobile phone and the student’s phone watch is connected, the corresponding APP in the mobile phone will extract the face from the call video screen, and compare the face with the modeling data in the APP database. When there is a matching face When processing the data, the high-definition face data is fused into the video image displayed on the mobile phone, and the mobile phone end realizes the restoration of the portrait definition and the display of the high-definition portrait. When there is no matching face data, the whole process ends. This process, without increasing the hardware equipment and hardware costs of the watch, can restore the portraits in the video on the mobile phone in high definition and improve the video call experience.

Step 104, displaying the target video image.

After the video image is repaired, the target video image can be displayed directly, so that the video sent by the peer end can be repaired directly during the transmission process, so that the repaired target video image can be directly displayed on the display screen of the local end, and the display can be improved. Effect.

Among them, when processing the video image sent by the opposite end, specifically, when a frame of video image is received, one frame is processed, and the target video image obtained by repairing one frame is displayed correspondingly, and the processing is performed frame by frame to realize the whole Fix and improve the clarity of portraits in the process of video passing.

In the embodiment of the present application, by acquiring the video image sent by the target peer end, when it is determined that the video image contains a face image, the target face data matching the face image is obtained from the preset face database; based on The target face data is used to repair the face definition of the video image, and the target video image is obtained and displayed. On the premise of not increasing the traffic and power consumption of the peer end and changing the hardware settings of the peer end, the human face during the video call is improved. face quality, improve picture clarity, and realize high-definition video calls.

The embodiments of the present application also provide different implementation manners of the video call method.

Referring to FIG. 2 , FIG. 2 is a second flowchart of a video call method provided by an embodiment of the present application. As shown in Figure 2, a video call method, the method includes the following steps:

Step 201, acquire the video image sent by the target peer.

The implementation process of this step is the same as the implementation process of step 101 in the foregoing embodiments, and will not be repeated here.

Step 202, according to the video image, if it is determined that the video image contains a face image, acquire target face data matching the face image from a preset face database.

In specific implementation, the image in the video can be extracted every set time interval, and the face detection tool of the visual library OpenCV is used to detect whether there is a human face in the image, and the collected human face is matched with the preset human face database. The similarity of face data, if the face similarity is greater than 70%, replace the face in the image in the original video with the high-definition face in the preset face database.

As an optional implementation manner, wherein, the target face data is three-dimensional face data; based on the target face data, performing face definition restoration on the video image to obtain the target video image includes: :

Step 203, based on the face image, determine the display features of the face in the video image.

Wherein, the face display feature includes at least one of face display angle, face display size, face display ratio, face display outline, face display area, and facial features distribution.

By combining the face display features parsed from the face image and combining the three-dimensional face data, a face replacement part matching the current face image can be found from the target face data in the preset face database.

Step 204, based on the display feature of the face, obtain a face replacement part matching the display feature of the face from the three-dimensional face data.

Wherein, the face replacement part may be a face display part under different face display angles, a face display part under different face display sizes, a face display part under different face display ratios, a face display part under different face display Display the face display parts under the outline, the face display parts under different face display areas and/or the face display parts under different facial features distribution.

Step 205, acquiring a human face replacement image corresponding to the human face replacement part.

Based on the face replacement part determined from the three-dimensional face data, the corresponding face replacement image is obtained, so as to replace the corresponding face area and improve the display degree of the image.

Step 206: Replace the human face image in the video image according to the human face replacement image to obtain the target video image.

Wherein, the display resolution of the face corresponding to the three-dimensional face data is greater than the display resolution of the face image.

In this step, the method for improving the definition of the face is to directly replace the display image of the face area with higher definition at the corresponding face position, so as to replace the face area with the original low definition and improve the video image The faces in the display show sharpness.

Step 207, displaying the target video image.

The implementation process of this step is the same as the implementation process of step 104 in the foregoing embodiments, and will not be repeated here.

In the embodiment of the present application, by acquiring the video image sent by the target peer end, when it is determined that the video image contains a face image, the target face data matching the face image is obtained from the preset face database; based on The target face data is used to repair the face definition of the video image, and the target video image is obtained and displayed. On the premise of not increasing the traffic and power consumption of the peer end and changing the hardware settings of the peer end, the human face during the video call is improved. face quality, improve picture clarity, and realize high-definition video calls.

Referring to FIG. 3 , FIG. 3 is a structural diagram of a video calling device provided by an embodiment of the present application. For ease of description, only parts related to the embodiment of the present application are shown.

The video call device includes: a first acquisition module 301 , a second acquisition module 302 , a repair module 303 and a display module 304 .

The first obtaining module 301 is used to obtain the video image sent by the target peer;

The second acquiring module 302 is configured to acquire, according to the video image, target face data matching the face image from a preset face database when it is determined that the video image contains a face image ;

The restoration module 303 is configured to perform face definition restoration on the video image based on the target face data to obtain the target video image;

The display module 304 is configured to display the target video image.

Wherein, the second obtaining module 302 is specifically used for:

judging whether there is target contact information corresponding to the target peer in the address book;

If there is target contact information corresponding to the target peer in the address book, acquiring initial face data associated with the target contact information from the preset face database;

Determining the initial face data as target face data matching the face image;

Wherein, the face data in the preset database is in one-to-one correspondence with different contact information in the address book.

The target face data is three-dimensional face data; the repair module 303 is specifically used for:

Based on the face image, determine the face display features in the video image;

Based on the display features of the human face, obtaining a replacement part of a human face matching the display features of the human face from the three-dimensional human face data;

Acquiring a face replacement image corresponding to the face replacement part;

replacing the human face image in the video image according to the human face replacement image to obtain the target video image;

Wherein, the display resolution of the face corresponding to the three-dimensional face data is greater than the display resolution of the face image.

Among them, the device also includes:

The first database building module is used to collect face images in different video calls to obtain preliminary face data; screen face data that meets the requirements of the definition index from the preliminary face data; determine different The contact information of the opposite end of the video call; the screened face data and the contact information are associated and stored to obtain the preset face database.

Among them, the device also includes:

The second database building module is used to output the face data collection interface, and different contact information is displayed in the face data collection interface; in the case of receiving the collection trigger input of the face data, the process is performed by the image collection device Face data collection, wherein one collection trigger input corresponds to one contact information; the collected face data and the contact information are associated and stored to obtain the preset face database.

Wherein, the target peer is a phone watch.

The video call device provided in the embodiment of the present application can realize each process of the above video call method embodiment, and can achieve the same technical effect. To avoid repetition, details are not repeated here.

FIG. 4 is a structural diagram of a terminal provided by an embodiment of the present application. As shown in the figure, the terminal 4 of this embodiment includes: a processor 40 , a memory 41 and a computer program 42 stored in the memory 41 and executable on the processor 40 .

Exemplarily, the computer program 42 can be divided into one or more modules/units, and the one or more modules/units are stored in the memory 41 and executed by the processor 40 to complete this application. The one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the terminal 4 . For example, the computer program 42 can be divided into a first acquisition module, a second acquisition module, a repair module and a display module, and the specific functions of each module are as follows:

The first obtaining module is used to obtain the video image sent by the target peer;

The second acquisition module is configured to acquire target face data matching the face image from a preset face database when it is determined that the video image contains a face image according to the video image;

A restoration module, configured to restore the face definition of the video image based on the target face data, to obtain the target video image;

A display module, configured to display the target video image.

Wherein, the second acquisition module is specifically used for:

judging whether there is target contact information corresponding to the target peer in the address book;

If there is target contact information corresponding to the target peer in the address book, acquiring initial face data associated with the target contact information from the preset face database;

Determining the initial face data as target face data matching the face image;

Wherein, the face data in the preset database is in one-to-one correspondence with different contact information in the address book.

The target face data is three-dimensional face data; the repair module is specifically used for:

Based on the face image, determine the face display features in the video image;

Based on the display features of the human face, obtaining a replacement part of a human face matching the display features of the human face from the three-dimensional human face data;

Acquiring a face replacement image corresponding to the face replacement part;

replacing the human face image in the video image according to the human face replacement image to obtain the target video image;

Wherein, the display resolution of the face corresponding to the three-dimensional face data is greater than the display resolution of the face image.

Among them, the device also includes:

The first database building module is used to collect face images in different video calls to obtain preliminary face data; screen face data that meets the requirements of the definition index from the preliminary face data; determine different The contact information of the opposite end of the video call; the screened face data and the contact information are associated and stored to obtain the preset face database.

Among them, the device also includes:

The second database building module is used to output the face data collection interface, and different contact information is displayed in the face data collection interface; in the case of receiving the collection trigger input of the face data, the process is performed by the image collection device Face data collection, wherein one collection trigger input corresponds to one contact information; the collected face data and the contact information are associated and stored to obtain the preset face database.

Wherein, the target peer is a phone watch.

The terminal 4 may be a computing device such as a desktop computer, a notebook, a palmtop computer, or a cloud server. The terminal 4 may include, but not limited to, a processor 40 and a memory 41 . Those skilled in the art can understand that FIG. 4 is only an example of the terminal 4, and does not constitute a limitation on the terminal 4. It may include more or less components than shown in the figure, or combine certain components, or different components, such as The terminal may also include an input and output device, a network access device, a bus, and the like.

The so-called processor 40 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, and the like.

The memory 41 may be an internal storage unit of the terminal 4 , such as a hard disk or memory of the terminal 4 . The memory 41 can also be an external storage device of the terminal 4, such as a plug-in hard disk equipped on the terminal 4, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, Flash Card (Flash Card), etc. Further, the memory 41 may also include both an internal storage unit of the terminal 4 and an external storage device. The memory 41 is used to store the computer program and other programs and data required by the terminal. The memory 41 can also be used to temporarily store data that has been output or will be output.

Those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used for illustration. In practical applications, the above-mentioned functions can be assigned to different functional units, Completion of modules means that the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist separately physically, or two or more units may be integrated into one unit, and the above-mentioned integrated units may adopt hardware It can also be implemented in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application. For the specific working process of the units and modules in the above system, reference may be made to the corresponding process in the foregoing method embodiments, and details will not be repeated here.

In the above-mentioned embodiments, the descriptions of each embodiment have their own emphases, and for parts that are not detailed or recorded in a certain embodiment, refer to the relevant descriptions of other embodiments.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

In the embodiments provided in this application, it should be understood that the disclosed terminal and method may be implemented in other ways. For example, the terminal embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be Incorporation may either be integrated into another system, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated module/unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments in the present application can also be completed by instructing related hardware through computer programs. The computer programs can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, computer-readable media Excludes electrical carrier signals and telecommunication signals.

The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still implement the foregoing embodiments Modifications to the technical solutions described in the examples, or equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the application, and should be included in the Within the protection scope of this application.

Claims (10)

1. a kind of video call method characterized by comprising

Obtain the video image that target opposite end is sent；

According to the video image, in the case where in determining the video image comprising facial image, from default human face data The target human face data to match with the facial image is obtained in library；

Based on the target human face data, the reparation of face clarity is carried out to the video image, obtains target video image；

Show the target video image.

2. video call method according to claim 1, which is characterized in that

It is described that the target human face data to match with the facial image is obtained from default face database, comprising:

Judge in address list with the presence or absence of the corresponding object contact person information in the target opposite end；

In the address list in the case where object contact person information corresponding there are the target opposite end, from the default face In database, Initial Face data associated with the object contact person information are obtained；

The Initial Face data are determined as to the target human face data to match with the facial image；

Wherein, the human face data in the presetting database is a pair of from the different contact informations one in the address list respectively It answers.

3. video call method according to claim 1, which is characterized in that the target human face data is three-dimensional face number According to；It is described to be based on the target human face data, the reparation of face clarity is carried out to the video image, obtains target video figure Picture, comprising:

Based on the facial image, determine that the face in the video image shows feature；

Feature is shown based on the face, and the people to match with face display feature is obtained from the three-dimensional face data Face alternative site；

It obtains face corresponding with the face alternative site and replaces image；

Image is replaced according to the face, the facial image in the video image is replaced, the target is obtained Video image；

Wherein, the corresponding face display resolution of the three-dimensional face data is greater than the display resolution of the facial image.

4. video call method according to claim 1, which is characterized in that it is described according to the video image, in determination Comprising obtaining from default face database and matching with the facial image in the case where facial image in the video image Target human face data before, further includes:

Facial image in different video callings is acquired, preliminary human face data is obtained；

Screening meets the screening human face data of articulation index requirement from the preliminary human face data；

Determine the contact information of opposite end corresponding to the different video callings；

The screening human face data and the contact information are associated storage, obtain the default face database.

5. video call method according to claim 1, which is characterized in that it is described according to the video image, in determination Comprising obtaining from default face database and matching with the facial image in the case where facial image in the video image Target human face data before, further includes:

Human face data acquisition interface is exported, shows different contact informations in the human face data acquisition interface；

In the case where the trigger collection for receiving human face data inputs, human face data acquisition is carried out by image capture device, Wherein, a trigger collection input corresponds to a contact information；

The human face data collected and the contact information are associated storage, obtain the default face database.

6. video call method according to claim 1, which is characterized in that the target opposite end is phone wrist-watch.

7. a kind of video conversation apparatus characterized by comprising

First obtains module, for obtaining the video image of target opposite end transmission；

Second obtains module, for according to the video image, the case where in determining the video image including facial image Under, the target human face data to match with the facial image is obtained from default face database；

Repair module carries out the reparation of face clarity to the video image, obtains mesh for being based on the target human face data Mark video image；

Display module, for showing the target video image.

8. video conversation apparatus according to claim 7, which is characterized in that the second acquisition module is specifically used for:

Judge in address list with the presence or absence of the corresponding object contact person information in the target opposite end；

In the address list in the case where object contact person information corresponding there are the target opposite end, from the default face In database, Initial Face data associated with the object contact person information are obtained；

The Initial Face data are determined as to the target human face data to match with the facial image；

Wherein, the human face data in the presetting database is a pair of from the different contact informations one in the address list respectively It answers.

9. a kind of terminal, including memory, processor and storage can be run in the memory and on the processor Computer program, which is characterized in that the processor is realized when executing the computer program as claim 1 to 6 is any The step of item the method.

10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists In when the computer program is executed by processor the step of any one of such as claim 1 to 6 of realization the method.