CN105721888B - Image quality processing method and device in real-time video application - Google Patents
Image quality processing method and device in real-time video application Download PDFInfo
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/234363—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by altering the spatial resolution, e.g. for clients with a lower screen resolution
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- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
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- H04N21/44016—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving splicing one content stream with another content stream, e.g. for substituting a video clip
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Abstract
The invention provides a picture quality processing method and a picture quality processing device in real-time video application, wherein the method comprises the following steps: acquiring video acquisition adaptation information and image quality adjustment parameters corresponding to video acquisition in real-time video application, wherein the video acquisition adaptation information comprises video acquisition equipment information; acquiring image quality adjustment recommendation parameters from a server according to the video acquisition adaptation information; and adjusting according to the acquired image quality adjustment recommendation parameters and the image quality adjustment parameters of the user. According to the method and the device, through the cooperation of the real-time video application and the server, the recommendation of the image quality adjustment parameters is realized, namely the image quality adjustment recommended parameters recommended by the server are obtained according to the self video acquisition adaptation information, and the adjustment is carried out according to the image quality adjustment recommended parameters, so that the real-time video application can automatically carry out corresponding image quality adjustment in the running process, the defect of poor image quality does not exist in the published real-time video any more, and the best live broadcast effect is ensured.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a method and a device for processing image quality in real-time video application.
Background
In recent years, with the rapid development of internet technology, various real-time video applications have been unprecedentedly developed. For example, live show line internet applications for gaming. The user can carry out the release of real-time video through real-time video application, carries out the show performance of real person, demonstrates the talent of self in aspects such as singing, dancing, explanation.
In the prior art, the real-time video application only receives and processes data collected by the video collecting device, and then obtains and releases the real-time video. In the process, hardware parameters of the video acquisition equipment are not adjusted first, so that the published real-time video has the defect of poor image quality, and the live broadcast effect is greatly influenced.
Disclosure of Invention
In view of the above-mentioned drawbacks, it is desirable to provide a method for processing image quality in real-time video applications, which can improve the image quality of real-time video in real-time video applications. The method comprises the following steps:
acquiring video acquisition adaptation information and image quality adjustment parameters corresponding to video acquisition equipment in real-time video application; the video acquisition adaptation information comprises video acquisition equipment information
Acquiring image quality adjustment recommendation parameters from a server according to the video acquisition adaptation information;
and adjusting according to the acquired image quality adjustment recommendation parameters and the image quality adjustment parameters of the user.
Preferably, the video capture adaptation information further includes at least one of environment information where the video capture device is located and current user-defined information of the video capture device. The environment information of the video acquisition equipment comprises external environment light intensity information, geographical position information and time information, and the user-defined information comprises user body appearance characteristic information, user age information and user preference information
Preferably, a search is initiated to the server according to the video acquisition adaptation information; and receiving the recommended parameters of the image quality adjustment returned by the server in response to the search.
Preferably, image quality effect search is initiated to the server according to the video acquisition adaptation information;
receiving an image quality effect corresponding to the image quality adjustment recommendation parameter returned by the server in response to the search; the image quality effect is used for previewing the effect of the image quality adjustment recommendation parameter after being adapted to the video acquisition equipment;
and monitoring the starting operation triggered by the image quality effect to acquire image quality adjustment recommendation parameters corresponding to the image quality effect.
Preferably, it is determined whether the recommended image quality adjustment parameter matches the image quality adjustment parameter of the user, and if not, the image quality adjustment recommended image quality adjustment parameter matches the image quality adjustment parameter of the user
And performing self-adaptive adjustment on the image quality adjustment parameters according to the image quality adjustment recommended parameters.
Preferably, a user-defined image quality effect setting instruction triggered by a user is received, and image quality adjustment parameters and video acquisition adaptation information corresponding to the user-defined image quality effect are acquired;
and uploading the user-defined quality effect, the corresponding image quality adjustment parameters and the video acquisition adaptation information to the server, so that the server stores the user-defined image quality adjustment parameters as image quality adjustment recommendation parameters corresponding to the video acquisition adaptation information.
In addition, it is also necessary to provide an image quality processing apparatus in real-time video applications, which can improve the image quality of real-time video in real-time video. The device includes:
the information acquisition module is used for acquiring video acquisition adaptation information and image quality adjustment parameters corresponding to video acquisition equipment in real-time video application, wherein the video acquisition adaptation information at least comprises video acquisition equipment information;
the recommendation processing module is used for acquiring image quality adjustment recommendation parameters from a server according to the video acquisition adaptation information;
and the adjusting module is used for adjusting according to the acquired image quality adjustment recommendation parameters and the image quality adjustment parameters of the adjusting module.
Preferably, the first search initiating unit is configured to initiate a search to the server according to the video acquisition adaptation information;
and the parameter receiving unit is used for receiving the image quality adjustment recommendation parameters returned by the server in response to the search.
Preferably, the recommendation processing module further comprises:
the second search initiating unit is used for initiating image quality effect search to the server according to the video acquisition adaptation information;
the effect acquisition unit is used for receiving the image quality effect corresponding to the image quality adjustment recommendation parameter returned by the server in response to the search; the image quality effect is used for previewing the effect of the image quality adjustment recommendation parameter after being adapted to the video acquisition equipment;
and the parameter acquisition unit is used for monitoring the starting operation triggered by the image quality effect and acquiring the image quality adjustment recommendation parameters corresponding to the image quality effect.
Preferably, the adjusting module further comprises:
the matching unit is used for judging whether the image quality adjustment recommended parameters are matched with the image quality adjustment parameters of the matching unit, and if not, the matching unit informs the adjustment execution unit;
and the adjustment execution unit is used for carrying out self-adaptive adjustment on the image quality adjustment parameters according to the image quality adjustment recommended parameters.
Preferably, the apparatus further comprises:
the user-defined image quality generation module is used for receiving a user-defined image quality effect setting instruction triggered by a user and acquiring image quality adjustment parameters and video acquisition adaptation information corresponding to the user-defined image quality effect;
and the user-defined image quality uploading module is used for uploading the user-defined quality effect, the corresponding image quality adjusting parameters and the video acquisition adapting information to the server so that the server stores the user-defined image quality adjusting parameters as image quality adjusting recommendation parameters corresponding to the video acquisition adapting information.
The technical scheme of the invention has the following technical effects:
according to the invention, through the cooperation of the real-time video application and the server, the recommendation of the image quality adjustment parameters is realized, namely the image quality adjustment recommendation parameters recommended by the server are obtained according to the self video acquisition adaptation information, and the self-adaptive adjustment is carried out according to the image quality adjustment recommendation parameters, so that the real-time video application can automatically carry out corresponding image quality adjustment in the running process, the defect of poor image quality in the published real-time video is further improved, and the best live broadcast effect is ensured.
On the other hand, through recommendation of recommended parameters for image quality adjustment between the real-time video application and the server, for the user, attention does not need to be paid to improvement of image quality in the real-time video, for example, complicated operation of continuous adjustment of image quality through setting a page is avoided, and threshold of image quality adjustment in the real-time video application and effectiveness of image quality adjustment are greatly reduced.
Besides, besides hardware parameters of the video acquisition equipment, environment information of the video acquisition equipment such as light intensity information, geographical position information and time information of an external environment and current user-defined information of the video acquisition equipment such as user appearance characteristic information, user age information and user preference information are integrated, so that image quality parameters of real-time videos can be matched with application scenes of users, and the best live broadcast effect is guaranteed.
Drawings
FIG. 1 is a flow diagram of a method for processing image quality in real-time video applications.
Fig. 2 is a flowchart of a method for obtaining recommended parameters for adjusting image quality from a server according to the video capture adaptation information in fig. 1.
Fig. 3 is a flowchart of a method for obtaining recommended parameters for adjusting image quality from a server according to the video capture adaptation information in fig. 1.
Fig. 4 is a flowchart illustrating a method for adjusting according to the image quality adjustment recommendation parameter and the image quality adjustment parameter thereof in another embodiment of fig. 1.
Fig. 5 is a flow diagram of a method for processing image quality in real-time video applications, according to another embodiment.
FIG. 6 is a diagram illustrating an apparatus for processing image quality in real-time video applications, according to an embodiment.
FIG. 7 is a block diagram of an embodiment of the get recommendations process module of FIG. 5.
Fig. 8 is a schematic structural diagram of an acquisition recommendation processing module in another embodiment of fig. 5.
Fig. 9 is a schematic structural diagram of an adjusting module in another embodiment of fig. 5.
Fig. 10 is a schematic diagram of an apparatus for processing image quality in a real-time video application according to another embodiment.
Detailed Description
Exemplary embodiments that embody features and advantages of the invention are described in detail below in the specification. It is to be understood that the invention is capable of other embodiments and that various changes in form and details may be made therein without departing from the scope of the invention and the description and drawings are to be regarded as illustrative in nature and not as restrictive.
As described above, most real-time video applications only focus on video capture and real-time video distribution, and for the image quality of the real-time video, the image quality in the real-time video can only be improved by adjusting image quality parameters through a setting page provided in the real-time video applications.
However, since this process involves the adjustment of specific parameters, the threshold is high for the user, and in many cases, the improvement of the image quality in the real-time video cannot be achieved, and even if the user adjusts the image quality through the setting page, the image quality in the distributed real-time video is still poor. Therefore, it is particularly desirable to provide an image quality processing method in real-time video applications, which can complete image quality adjustment without triggering specific parameter adjustment operations during image quality adjustment by a user.
In one embodiment, the method for processing image quality in the real-time video application is as shown in fig. 1, and includes:
The real-time video acquisition and release in the real-time video application are used as main functions of the real-time video application, so that the real-time video application has the video acquisition capability, and the real-time video is obtained. The status of the image quality in the real-time video is closely related to various environments (e.g., hardware environment, external environment, user definition, etc.) in which video acquisition is currently performed and currently-used image quality adjustment parameters, and therefore, it is necessary to acquire video acquisition adaptation information and image quality adjustment parameters corresponding to video acquisition performed in the real-time video application.
The video acquisition adaptation information is used for representing relevant information of an adaptation environment required by video acquisition, for example, relevant information of a hardware environment adapted in video acquisition, which can be the model of an accessed video acquisition device; as another example, the external environment information adapted in the video capture may be information of an indoor environment at noon. The adaptive environment required in the running of the real-time video application can be obtained by acquiring adaptive information through the video.
The acquisition of the video acquisition adaptation information corresponding to the video acquisition device may be detection of the connected video acquisition device, direct acquisition of relevant information of the video acquisition device, user-defined input, or acquisition of relevant information (such as time information) from a server by a client.
The image quality adjustment parameter is used as setting data related to image quality adjustment in the real-time video application, and is used for controlling the image quality of the real-time video obtained in the real-time video application.
The acquisition time of the video acquisition adaptation information and the image quality adjustment parameters in the real-time video application can be acquired at any time in the running of the real-time video application, and the specific acquisition time can be set according to the actual operation requirement. For example, in the real-time video application, the acquisition of the video acquisition adaptation information and the image quality adjustment parameter may be acquired when the video acquisition device is started, or may be acquired when the real-time video is distributed, which is not limited herein.
And step 130, obtaining image quality adjustment recommendation parameters from a server according to the video acquisition adaptation information.
In the real-time video application, relevant parameter recommendation of image quality adjustment is initiated to a server through self video acquisition adaptation information, and then image quality adjustment recommendation parameters are obtained from the server.
Specifically, in the terminal running the real-time video application, the query of the image quality adjustment parameters is initiated to the server through the acquired video acquisition adaptation information, so that the image quality adjustment recommendation parameters recommended by the server for the video acquisition adaptation information are obtained.
Image quality adjustment recommendation parameters corresponding to various video acquisition adaptation information are preset in the server. Specifically, on the one hand, various video acquisition adaptation information and image quality adjustment recommendation parameters corresponding to the video acquisition adaptation information are stored in a server in an associated manner, so that real-time video application acquisition is facilitated.
On the other hand, the server may also store corresponding image quality effects for the image quality adjustment recommendation parameters, that is, store the video acquisition adaptation information, the image quality effects, and the image quality adjustment recommendation parameters in association with each other, so as to preview the image quality effects that can be achieved by the image quality adjustment recommendation parameters, and further provide a basis for selecting recommendations in real-time video applications.
The specific configuration in the server may be set according to the actual operation requirement, and is not limited herein.
It should be noted that the recommended parameter for adjusting the image quality may be provided by a manufacturer of the video capture device, or uploaded after defining the image quality by any user.
And 150, adjusting according to the acquired image quality adjustment recommended parameters and the image quality adjustment parameters of the user.
After obtaining the image quality adjustment recommendation parameters from the server, the real-time video application may adjust the image quality adjustment parameters according to the image quality adjustment recommendation parameters, so that the image quality adjustment parameters are equivalent to or the same as the obtained image quality adjustment recommendation parameters after the adjustment is completed.
Through the process, the image quality adjustment recommended parameters corresponding to the video acquisition equipment are obtained from the server, and then the image quality adjustment parameters of the video acquisition equipment are adjusted, so that the user avoids the complex operation of continuously adjusting the image quality by setting a page, and meanwhile, the real-time video effect issued by the user is improved due to the general superiority of the image quality adjustment recommended parameters.
In another embodiment, step 130 is as described in fig. 2, further comprising:
After the real-time video application obtains the video acquisition adaptation information, a search is initiated to the server according to the video acquisition adaptation information.
The video acquisition adaptation information comprises video acquisition equipment information, and on the basis of containing the video acquisition equipment information, the video acquisition adaptation information further comprises at least one of environment information where the video acquisition equipment is located and current user-defined information of the video acquisition equipment.
For example, the video capture device information may be model information of the video capture device, the environment information where the video capture device is located may be light intensity information, geographical location information, and time information of the external environment, for example, the light intensity information of the external environment may refer to brightness information of the environment, the geographical location information may refer to an indoor environment or an outdoor environment, and the time information may refer to information of season, day, night, and the like. Such as information in the summer noon, in the room, etc. The current user-defined information of the video acquisition equipment can be one or more self-defined functional characteristic information of users, such as user appearance characteristic information, user age information, user preference information and the like. For example, the skin color of the user is black information, and the age of the user is 18 years. The user preference information comprises preference information of a user to a scene, for example, the user likes a dim environment of a ballet stage, at the moment, the user inputs function requirement information related to dancing, for example, key information of 'ballet swan lake' and the like, for example, the user likes a dynamic environment of square dance, at the moment, the user inputs key information of 'square dance' and the like, for example, the user likes an environment with bright sunshine and the like, at the moment, the user can input information of 'sunshine' and the like, and the client side obtains a corresponding image quality effect and associated image quality adjusting parameters from the server according to the video acquisition equipment information, the environment information where the video acquisition equipment is located and current user defined information of the video acquisition equipment.
And when receiving the search initiated by the real-time video application according to the video acquisition adaptation information, the remote server searches according to the video acquisition adaptation information so as to obtain corresponding image quality adjustment parameters and returns the image quality adjustment parameters to the real-time video application running in the terminal.
It should be noted that the image quality adjustment parameter is a hardware parameter acting on the video capture device, and may be one or more of brightness, contrast, hue, saturation, gamma, sharpness, white balance, inverse contrast, and gain.
Through the cooperation of the real-time video application and the server, the recommendation of image quality adjustment parameters is realized, so that the adjustment of the image quality in the real-time video application is not dependent on a user, and the threshold of the image quality adjustment in the real-time video application and the effectiveness of the image quality adjustment are greatly reduced.
For example, if the user inputs preference information "sunlight", the image quality adjustment recommendation parameter recommends higher values in brightness and saturation, and if the environment where the video capture device is located is outdoors at noon in summer, the image quality adjustment recommendation parameter recommends lower values in brightness and contrast, and recommends higher values in definition and saturation.
In another embodiment, step 130 is as described in fig. 3, further comprising:
and 135, initiating image quality effect search to the server according to the video acquisition adaptation information.
And 137, receiving the image quality effect corresponding to the image quality adjustment recommendation parameter returned by the server in response to the search, wherein the image quality effect is used for previewing the effect after the image quality adjustment recommendation parameter is adapted to the video acquisition device.
The image quality effect recommendation performed by the server includes a recommendation of an image quality effect, for example, the customized image quality effect may be shared with the server by other users. In the real-time video application, the inquiry of the image quality effect is initiated through the acquired video acquisition adaptation information so as to obtain the image quality effect recommended by the server aiming at the video acquisition adaptation information.
The server is preset with image quality effects corresponding to various video acquisition adaptation information. Specifically, on the one hand, various video acquisition adaptation information and image quality effect associations corresponding to the video acquisition adaptation information are stored in the server, so that any real-time video can be conveniently acquired.
On the other hand, the server also correspondingly stores corresponding image quality adjustment parameters for the image quality effect, so that the user can conveniently start the image quality adjustment parameters.
The image quality effect is used for enabling a user to visually see the effect generated after the image quality adjustment parameters are adapted to the real-time video application. The effectiveness of the user in selecting the image quality adjustment parameters is improved by enabling the user to directly see the effect result of the image quality adjustment parameters and further selecting the required image quality adjustment parameters.
The image quality effect may be a result of the user trying to adjust the image quality, or may be provided by a service provider. The server obtains the picture quality effect from the uploading of the user and the uploading of a video acquisition equipment service provider.
Therefore, through the cooperation of the real-time video application and the server, a sharing and recommending platform of relevant parameters of image quality adjustment among users is established, and convenience is further provided for improving the image quality in the real-time video application.
The real-time video application may directly load the image quality effect, or may be executed by a certain application loaded on a hardware device executing the real-time video application, so as to preview the image quality effect by the user.
the user-triggered enable operation is an operation triggered by an enable button. Each starting button corresponds to a picture quality effect, when a user selects the picture quality effect of the heart instrument, the corresponding starting button is clicked to trigger the operation of acquiring the associated picture quality adjustment recommendation parameters by the real-time video application, and the client performs replacement adjustment on the picture quality adjustment parameters of the client according to the picture quality adjustment recommendation parameters.
Through the process, the user can intuitively preview the effect of the image quality adjustment recommendation parameter after the image quality adjustment recommendation parameter is adapted to the real-time video application, and then selects the image quality adjustment recommendation parameter, so that the effectiveness of the user in selecting the image quality adjustment recommendation parameter is greatly improved, the user can simply and clearly adjust the image quality by starting triggering the one-key preset of the real-time video, and the efficiency of image quality adjustment is improved.
In another embodiment, step 150 is as described in fig. 4, further comprising:
Whether image quality adjustment is needed in the real-time video application is confirmed through matching between the image quality adjustment recommended parameters and the image quality adjustment parameters, and then the image quality adjustment recommended parameters obtained by the server are adapted to the real-time video application on the premise that the image quality adjustment is needed, so that better image quality is obtained through recommendation of the server.
Through the process, the automatic adjustment of the image quality in the real-time video application is realized, and the process is transparent for users, so that the use of the users is not interfered, and the smoothness of video acquisition and real-time video distribution in the real-time video application is ensured.
In another embodiment, as illustrated in fig. 5, the method further comprises:
Setting image quality adjustment parameters of the video acquisition equipment by a user through real-time video application to generate a new user-defined image quality effect; and the real-time video application acquires the image quality adjustment parameters and the video acquisition adaptation information set by the user after the user finishes setting.
It should be noted that, in the process of setting the customized image quality effect by the user, the real-time video application provides an image quality adjustment interface for the user, where the image quality adjustment interface includes setting customized image quality adjustment parameters and generating the customized image quality effect. The user can set the size of the image quality adjusting parameter on the interface, and after the user finishes the setting, the image quality adjusting interface is automatically generated by operating the image quality adjusting interface or the user triggers the image quality adjusting parameter to generate the user-defined image quality effect. And then, the real-time video application acquires the image quality adjustment parameters set on the operation image quality adjustment interface by the user and reports the image quality adjustment parameters and the video acquisition adaptation information to the server together.
After the user finishes defining the image quality, the real-time video acquires the effect of the user-defined image quality and the corresponding image quality adjusting parameter, and reports video acquisition adaptation information, the user-defined image quality effect and the corresponding image quality adjusting parameter to the server, wherein the video acquisition adaptation information, the user-defined image quality effect and the corresponding image quality adjusting parameter are stored on the server in a mutually associated mode.
Through the process, the real-time video application enables the user to create the image quality effect of the psychoscope by himself by providing the image quality adjusting interface for the user, further enriches the content stored by the server, and provides higher selection degree for other users when recommending the image quality adjusting parameters.
In addition, in an embodiment, an apparatus for processing image quality of real-time video distribution is further provided, and the apparatus includes an acquisition information obtaining module 410, a recommendation processing module 430, and an adjusting module 450, as shown in fig. 6, where:
the information obtaining module 410 is configured to obtain video acquisition adaptation information and image quality adjustment parameters corresponding to video acquisition devices in a real-time video application, where the video acquisition adaptation information at least includes video acquisition device information.
And the recommendation processing module 430 is configured to obtain the image quality adjustment recommendation parameter from the server according to the video acquisition adaptation information.
The adjusting module 450 is configured to adjust according to the obtained image quality adjustment recommendation parameter and the image quality adjustment parameter of the image quality adjusting module.
In one embodiment, as shown in fig. 7, the recommendation processing module 430 further includes a first search initiation unit 431 and a parameter receiving unit 433, wherein
A first search initiating unit 431, configured to initiate a search to the server according to the video capture adaptation information.
A parameter receiving unit 433, configured to receive the recommended parameter of image quality adjustment returned by the server in response to the search.
In another embodiment, as illustrated in fig. 8, the recommendation processing module 430 further includes a second search initiation module 435, an effect receiving unit 437, and a parameter obtaining unit 439, wherein:
and a second search initiation module 435, configured to initiate an image quality effect search to the server according to the video acquisition adaptation information.
An effect receiving unit 437, configured to receive an image quality effect corresponding to the image quality adjustment recommendation parameter returned by the server in response to the search; and the image quality effect is used for previewing the effect of the image quality adjustment recommendation parameters after the image quality adjustment recommendation parameters are adapted to the video acquisition equipment.
The parameter obtaining unit 439 is configured to monitor an enabling operation triggered by the image quality effect, and obtain an image quality adjustment recommendation parameter corresponding to the image quality effect.
In one embodiment, as illustrated in fig. 9, the adjusting module 450 further includes a matching unit 451 and an adjusting performing unit 453, wherein:
a matching unit 451 for determining whether the recommended image quality adjustment parameter matches the image quality adjustment parameter of the user, and if not, notifying the adjustment execution unit 453;
the adjustment execution unit 453 is configured to adaptively adjust the image quality adjustment parameter according to the image quality adjustment recommendation parameter.
In another embodiment, as shown in fig. 10, the apparatus further includes a custom image quality generation module 510 and a custom image quality upload module 530, where:
the custom image quality generation module 510 is configured to receive a custom image quality effect setting instruction triggered by a user, and acquire image quality adjustment parameters and video acquisition adaptation information corresponding to the custom image quality effect.
A custom image quality uploading module 530, configured to upload the custom quality effect and the corresponding image quality adjustment parameter and video acquisition adaptation information to the server, so that the server stores the custom image quality adjustment parameter as an image quality adjustment recommendation parameter corresponding to the video acquisition adaptation information.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
While the present invention has been described with reference to several exemplary embodiments, it is understood that the terminology used is intended to be in the nature of words of description and illustration, rather than of limitation. As the present invention may be embodied in several forms without departing from the spirit or essential characteristics thereof, it should also be understood that the above-described embodiments are not limited by any of the details of the foregoing description, but rather should be construed broadly within its spirit and scope as defined in the appended claims, and therefore all changes and modifications that fall within the meets and bounds of the claims, or equivalences of such meets and bounds are therefore intended to be embraced by the appended claims.
Claims (6)
1. A method for processing image quality in real-time video application, comprising:
acquiring video acquisition adaptation information and image quality adjustment parameters of video acquisition equipment in real-time video application, wherein the video acquisition adaptation information comprises video acquisition equipment information;
acquiring image quality adjustment recommendation parameters and image quality effects corresponding to the image quality adjustment recommendation parameters from a server according to the video acquisition adaptation information, and performing effect preview of adapting the image quality adjustment parameters to the video acquisition equipment in the real-time video application according to the acquired image quality effects;
and after monitoring that the starting operation of the image quality effect is triggered in the real-time video application, adjusting the image quality adjustment parameters of the video acquisition equipment according to the image quality adjustment parameters corresponding to the image quality effect.
2. The method of claim 1, wherein the video capture adaptation information further comprises at least one of environment information of the video capture device and current user-defined information of the video capture device, wherein the environment information of the video capture device comprises external environment light intensity information, geographical location information and time information, and the user-defined information comprises user physical feature information, user age information and user preference information.
3. The method of claim 1, wherein the adjusting the image quality adjustment parameters of the video capture device according to the image quality adjustment parameters corresponding to the image quality effect comprises:
judging whether the image quality adjustment recommended parameters are matched with the image quality adjustment parameters of the video acquisition equipment, if not, judging whether the image quality adjustment recommended parameters are matched with the image quality adjustment parameters of the video acquisition equipment or not, and if not, judging whether the image quality adjustment recommended parameters are matched with the image quality adjustment parameters of the video acquisition equipment
And performing self-adaptive adjustment on the image quality adjustment parameters of the video acquisition equipment according to the image quality adjustment recommended parameters.
4. The method of claim 1, further comprising:
receiving a user-defined image quality effect setting instruction triggered by a user, and acquiring user-defined image quality adjustment parameters and video acquisition adaptation information corresponding to the user-defined image quality effect;
uploading the custom image quality adjustment parameter and the video acquisition adaptation information to the server so that the server stores the custom image quality adjustment parameter as an image quality adjustment recommendation parameter corresponding to the video acquisition adaptation information.
5. An apparatus for processing image quality in real-time video applications, comprising:
the information acquisition module is used for acquiring video acquisition adaptation information and image quality adjustment parameters corresponding to video acquisition equipment in real-time video application; the video acquisition adaptation information at least comprises video acquisition equipment information;
the recommendation processing module is used for acquiring image quality adjustment recommendation parameters and image quality effects corresponding to the image quality adjustment recommendation parameters from a server according to the video acquisition adaptation information, and previewing the effect that the image quality adjustment parameters are adapted to the video acquisition equipment in the real-time video application according to the acquired image quality effects;
and the adjusting module is used for adjusting the image quality adjusting parameters of the adjusting module according to the image quality adjusting parameters corresponding to the image quality effect after monitoring that the starting operation of the image quality effect is triggered in the real-time video application.
6. The apparatus of claim 5, wherein the adjustment module further comprises:
the matching unit is used for judging whether the image quality adjustment recommended parameters are matched with the image quality adjustment parameters of the matching unit, and if not, the matching unit informs the adjustment execution unit;
and the adjustment execution unit is used for carrying out self-adaptive adjustment on the image quality adjustment parameters according to the image quality adjustment recommended parameters.
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| CN107846625B (en) * | 2017-10-30 | 2019-09-24 | Oppo广东移动通信有限公司 | Video image quality adjustment method, device, terminal device and storage medium |
| CN107846624B (en) * | 2017-10-30 | 2020-01-14 | Oppo广东移动通信有限公司 | Video image quality adjusting method and device, terminal equipment and storage medium |
| CN114286150A (en) * | 2020-11-12 | 2022-04-05 | 海信视像科技股份有限公司 | Display device, server and image quality sharing method |
| CN114554284B (en) * | 2022-02-22 | 2023-08-11 | 网易（杭州）网络有限公司 | Image quality information processing method, image quality information processing device, computer equipment and storage medium |
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