CN110933490B - Automatic adjustment method for picture quality and tone quality, smart television and storage medium - Google Patents
Automatic adjustment method for picture quality and tone quality, smart television and storage medium Download PDFInfo
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- CN110933490B CN110933490B CN201911141732.1A CN201911141732A CN110933490B CN 110933490 B CN110933490 B CN 110933490B CN 201911141732 A CN201911141732 A CN 201911141732A CN 110933490 B CN110933490 B CN 110933490B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- 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, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- 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
- H04N21/439—Processing of audio elementary streams
Abstract
The invention discloses an automatic adjustment method of image quality and tone quality, an intelligent television and a storage medium, wherein the method comprises the steps of obtaining video information played by a current video, and identifying a scene model corresponding to the video information; acquiring image quality adjusting parameters and tone quality adjusting parameters corresponding to the scene model; and automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter. The invention aims to calculate the current playing scene in real time according to the video picture when playing the video, automatically switch to the picture quality and tone quality which are most suitable for the current scene according to the current picture scene, and has the advantages of simple and convenient operation, no need of manual setting and convenience for users.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to an automatic adjustment method of image quality and tone quality, an intelligent television and a storage medium.
Background
With the development of Artificial Intelligence (AI), the intelligence is ubiquitous, and users hope to intelligently feel the very audio-visual experience when watching tv at home. Due to the development of scientific technology, the high-performance chip greatly reduces the calculation time and cost required by the deep learning algorithm, and the machine can calculate massive multimedia data of videos and images only by internally arranging an NPU (neural-network process unit).
In order to pass energy-saving authentication, the existing television set is often defaulted to an energy-saving mode when leaving a factory, a user can only manually set the current image quality and tone quality, the operation is complicated, and the set image quality and tone quality cannot adapt to the current playing scene, so that the currently displayed audio-visual effect is low.
Accordingly, there is a need for improvements and developments in the art.
Disclosure of Invention
Based on this, it is necessary to provide an automatic adjustment method for image quality and sound quality, an intelligent tv and a storage medium for solving the technical problem in the prior art that the image quality and the sound quality of video playing cannot be automatically adjusted according to the scene of video playing, and the method aims to calculate the scene of current playing in real time according to the video picture when playing video, and automatically switch to the image quality and the sound quality most suitable for the current scene according to the current picture scene, so that the operation is simple and convenient, manual setting is not needed, and the user is facilitated.
In order to achieve the purpose, the invention adopts the following technical scheme:
an automatic adjustment method for image quality and sound quality, the automatic adjustment method for image quality and sound quality comprises the following steps:
acquiring video information played by a current video, and identifying a scene model corresponding to the video information;
acquiring image quality adjusting parameters and tone quality adjusting parameters corresponding to the scene model;
and automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter.
The method for automatically adjusting image quality and sound quality, wherein the video information includes an image and video content, and when the video information is an image, the acquiring of the video information played by the current video and the identifying of the scene model corresponding to the video information specifically include:
intercepting an image played by a current video, and extracting image information in the image;
and determining the scene type corresponding to the image information according to the preset corresponding relation between the image information and the scene model.
The method for automatically adjusting the image quality and the sound quality, wherein the capturing the image played by the current video and extracting the image information in the image specifically comprises:
capturing an image played by a current video;
converting the image into an image with a preset resolution;
and extracting image information in the image based on the image characteristic parameters.
The method for automatically adjusting image quality and sound quality, wherein the video information includes an image and video content, and when the video information is the video content, the obtaining of the video information played by the current video and the identifying of the scene model corresponding to the video information specifically include:
acquiring video content played by a current video;
identifying the video label according to the film classification to which the video content belongs;
and determining a scene model corresponding to the video content according to a preset corresponding relation between the video label and the scene model.
The method for automatically adjusting the image quality and the sound quality, wherein the step of acquiring the video information played by the current video and identifying the scene model corresponding to the video information comprises the following steps:
detecting whether an image quality and tone quality adjusting switch is turned on or not;
and when detecting that the picture quality and sound quality adjusting switch is turned on, executing the steps of acquiring video information played by the current video and identifying a scene model corresponding to the video information.
The method for automatically adjusting the image quality and the sound quality, wherein the automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter further comprises:
and the user is prompted by a popup or voice to determine the adjustment of the image quality and the sound quality of the current video playing.
The method for automatically adjusting the image quality and the sound quality, wherein the image quality adjusting parameters comprise: one or more of luminance, saturation, sharpness, backlight luminance, and chromaticity.
The method for automatically adjusting the image quality and the sound quality is characterized in that the sound quality adjusting parameters comprise one or more of bass, heavy bass, middle voice, middle and high voice, treble, surround sound, dolby and surround sound.
The invention also provides an intelligent television, which comprises a processor and a memory connected with the processor, wherein the memory stores an automatic image quality and sound quality adjusting program capable of running on the processor, and the automatic image quality and sound quality adjusting program realizes the steps of the automatic image quality and sound quality adjusting method when being executed by the processor.
The present invention also provides a computer-readable storage medium, which stores one or more programs that can be executed by one or more processors to implement the steps of the method for automatically adjusting image quality and sound quality.
Has the advantages that:
compared with the prior art, the automatic adjustment method for the image quality and the sound quality, the intelligent television and the storage medium provided by the invention have the advantages that the video information played by the current video is obtained, and the scene model corresponding to the video information is identified; acquiring image quality adjusting parameters and tone quality adjusting parameters corresponding to the scene model; and automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter. The invention aims to achieve the adjustment of real-time effects of different scenes by calculating the currently played scene in real time according to the video picture and automatically switching to the image quality and the tone quality which are most suitable for the current scene according to the current picture scene when the video is played, and has the advantages of simple and convenient operation and no need of manual setting.
Drawings
Fig. 1 is a flowchart of a method for automatically adjusting image quality and sound quality according to the present invention.
Fig. 2 is a flowchart of step S10 in the method for automatically adjusting image quality and sound quality according to the present invention.
Fig. 3 is another flowchart of the step S10 in the method for automatically adjusting image quality and sound quality according to the present invention.
Fig. 4 is a functional schematic block diagram of the smart tv set according to the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for automatically adjusting image quality and sound quality according to the present invention, it should be noted that the method for automatically adjusting image quality and sound quality according to the present invention is not limited to the steps and the sequence shown in the flowchart of fig. 1, and the steps in the flowchart may be added, removed, or changed according to different requirements.
As shown in fig. 1, the method for automatically adjusting image quality and sound quality according to the present invention includes the following steps:
and S10, acquiring video information played by the current video, and identifying a scene model corresponding to the video information.
In this embodiment, the processing capabilities of the television images with different configurations are different, so that it is determined in advance whether an NPU (neural-network processor) chip is built in the television, where the NPU chip is used to calculate multimedia data of massive videos and images, and the picture processing efficiency is greatly improved. If the NPU chip is arranged in the television, the picture played by the current video can be acquired in real time, and the scene model to which the picture belongs is calculated in real time through the picture; if the television is not internally provided with the NPU chip, the film type played by the current video is obtained, the film type is classified to determine the film type to which the film type belongs, and then the scene model to which the film type belongs is identified through the film type. Wherein, the film types are classified as film classification labels: movies, television shows, news, fantasy, animations, music, basketball, football, radio, animals, advertisements, educational resources, comedies, action pieces, horrors, games, etc.
In order to ensure the display effect of video playing, the mapping relationship between different scene models and image quality adjustment parameters and sound quality adjustment parameters is preset, and the specific setting process is as follows:
when a television is comprehensively tested, a specific scene model is set, wherein the scene model comprises a music model, a basketball model, a football model, an animation model, a news model, a broadcasting model, an animal world model, an education resource model, an advertisement model, a comedy picture model, an action picture model, a horror picture model, a gunfight picture model, a comprehensive art model, a nature model and the like. Under the condition supported by the chip algorithm, various universities of the signal source can acquire and identify the signal source in real time.
Preferably, the parameter debugging includes image quality adjustment parameters and sound quality adjustment parameters, and the image quality adjustment parameters include: brightness, saturation, sharpness, backlight brightness, chromaticity, and adjustments to the object's locality, etc. The sound quality adjusting parameters comprise bass, heavy bass, middle voice, middle and high voice, treble, surround sound (DTS sound effect or automatic sound effect), dolby, surround sound and the like.
Further, in the present embodiment, the specific scene model to which the current video playing belongs is determined according to the video content or the playing picture of the current video playing. Therefore, the correspondence between the image information corresponding to different scene models and the correspondence between the video tags corresponding to different scene models are preset. For example: the image information corresponding to the football scene model comprises action gestures such as football pictures and passing, field pictures and the like, and when the image information extracted from the obtained video pictures contains the image information corresponding to the football model, the current video pictures are judged to be in the scene of the football model. Another example is: classifying different video contents, determining video tags to which various video contents belong, such as carnivores, grazing animals, 9 channels and the like contained in the video contents, marking the video tags to which the video contents belong as animal world columns, specifically, acquiring video streams played by the videos, extracting information related to the video contents in the video streams, and according to whether the extracted information is matched with the information of the video contents corresponding to preset video tags, if so, acquiring the video tag classifications to which the video contents belong, and if not, not performing any processing. And then according to the corresponding relation between the preset video label and the specific scene model, obtaining the corresponding scene model under the video label, for example, the scene model corresponding to the video label of the animal world column is an animal model.
All mapping relations and relevant information are stored in the scene library so as to quickly find the result, and time is saved.
Further, as shown in fig. 2, the video information includes an image and video content, and when the video information is an image, the acquiring the video information played by the current video and identifying the scene model to which the image belongs specifically includes:
s11, intercepting the image played by the current video, and extracting the image information in the image;
and S12, determining the scene type corresponding to the image information according to the preset corresponding relation between the image information and the scene model.
Specifically, it is first determined whether the television supports the function of automatically adjusting the picture quality and sound quality parameters, that is, it is detected whether the picture quality and sound quality adjusting switch is turned on, and when the picture quality and sound quality adjusting switch is turned on in the menu setting, it can be used for subsequent automatic picture quality and sound quality adjustment, and if not, it does not need any processing. That is, if the image quality/sound quality adjustment switch is not turned on, the function of automatically adjusting the image quality and the sound quality is not activated. When a user is in a video playing scene and the picture quality and sound quality adjusting switch is turned on, the image played by the current video is intercepted by adopting high resolution, so that the data processed by the subsequent image is clear. According to the android screen capture interface, when each television chip platform captures a video playing picture, a captured picture is a black screen.
Preprocessing an image intercepted by the current video playing, for example, performing size conversion on the image with high resolution, converting the image into an image with preset resolution such as 224 multiplied by 224 resolution, extracting image information from the preprocessed image according to preset image characteristic parameters, matching the extracted image information with the preset image information, and if the matching is successful, acquiring a scene model to which the image belongs from a database. If not, no processing is carried out, or a pop-up window prompt or a voice prompt is carried out to prompt a user whether to select the adjustment of the image quality adjustment parameter and the sound quality adjustment parameter of the closest scene model which is predicted by the system.
Therefore, the problem that data do not need to be sent to a cloud server any more can be solved, not only are network flow and server resources saved, but also the recognition time overhead is maximized, the scene response to the television playing picture can be rapidly realized in real time, and the user can be fully helped to protect own privacy and sensitive information.
In addition, as shown in fig. 3, when the video information is a video content, the acquiring the video information played by the current video and identifying the scene model to which the video content belongs specifically include:
s111, acquiring video content played by a current video;
s112, identifying the video label to which the video content belongs according to the film classification to which the video content belongs;
and S113, determining a scene model corresponding to the video content according to the corresponding relation between the preset video label and the scene model.
Specifically, it is first determined whether the television supports the function of automatically adjusting the picture quality and sound quality parameters, and when the picture quality and sound quality adjusting switch in the menu setting is turned on, the television can be used for subsequent automatic picture quality and sound quality adjustment, and if not, no processing is required. After a user turns on a video, after determining that an image quality and tone quality adjusting switch is turned on, acquiring video content played by a current signal, wherein the information of the video content in media assets comprises but is not limited to the following contents: movie ID, movie name, movie introduction, movie provider, movie category, feature, long video, short video, whether it is a singleton, currently updated episode, total episode number, movie thumbnail, movie detail distribution, singleton ID, singleton name, singleton viewpoint, singleton duration, region, show time, price, etc.
Specifically, according to the category of the movie to which the video content belongs, as described above, the video tag to which the video content belongs can be identified. And judging whether the video tag is matched with a preset video tag, if so, obtaining image quality adjusting parameters and sound quality adjusting parameters corresponding to the scene model corresponding to the video tag based on the corresponding relation between the video tag and the scene model in the scene library. If not, no processing is carried out, and then the current video label is added to the preset scene model.
And S20, acquiring image quality adjusting parameters and sound quality adjusting parameters corresponding to the scene model.
Specifically, in the mapping relationship table, image quality adjustment parameters and sound quality adjustment parameters corresponding to each scene model are set, and when the video content of the current video playing or the scene model to which the image information belongs is determined, the image quality adjustment parameters and the sound quality adjustment parameters corresponding to the scene model to which the video content or the image information belongs can be obtained according to the set mapping relationship. For example, if the video tag to which the video content played by the current video belongs is a football match, the video tag of the football match corresponds to a football scene model by searching the corresponding relation between the relevant video tag and the scene type in the scene library, and the values of the image quality adjustment parameter and the sound quality adjustment parameter corresponding to the football scene model are obtained.
And S30, automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter.
Based on step S20, if the scene model to which the current video playback belongs is identified, the values of the image quality adjustment parameter and the sound quality adjustment parameter under the scene model are obtained according to the mapping relationship table, so as to automatically adjust the parameters of the image quality and the sound quality of the current playback to the parameter values corresponding to the optimal display effect corresponding to the scene model to which the current playback belongs. For example, based on the example of step S20,
after the adjustment, the image quality parameters and the sound quality parameters before the adjustment are compared, so that the brightness in the image quality of the current playing is adjusted to be high, the definition is increased, and the surround sound in the sound quality is adjusted to be low.
Further, when the image quality adjustment parameter and the sound quality adjustment parameter corresponding to the scene model are acquired, the parameter of the current video playing can be adjusted through an algorithm, so that the parameter is matched with the acquired image quality adjustment parameter and sound quality adjustment parameter.
In addition, if the image quality and the sound quality in the currently played picture need to be adjusted, the picture corresponding to the picture before and after the adjustment is displayed through the display screen, and the user is prompted again through a popup prompt or voice so as to determine the adjustment of the image quality and the sound quality of the currently played video. Therefore, when the user does not need to adjust, the adjustment can be omitted, the method is adaptive to different requirements of the user, and the user experience is improved. And in addition, within the preset time, if the touch operation of the user is not received, the image quality and the tone quality of the current video playing are automatically adjusted according to the identified scene model. Therefore, manual setting by a user is not needed, the operation process is simplified, and the video effect of the user is improved.
In addition, in some embodiments, if the capability of the existing chip is not strong, the currently played video image is uploaded to the cloud server, the scene type of the image is calculated by the cloud server, and the image quality and the sound quality most suitable for the current video are automatically switched according to the calculated current scene type.
Example two
Based on the above automatic adjustment method for image quality and sound quality, the present invention also provides a corresponding smart tv, as shown in fig. 4, where the smart tv 100 includes a processor 11 and a memory 22 connected to the processor 11, and fig. 2 only shows some components of the smart tv 100, but it should be understood that not all of the shown components are required to be implemented, and more or less components may be implemented instead.
The storage 22 may be an internal storage unit of the smart tv set 100 in some embodiments, for example, a memory of the smart tv set 100. The memory 22 may also be an external storage device of the smart tv set 100 in other embodiments, such as a plug-in usb disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (FlashCard), and the like, which are provided on the smart tv set 100. Further, the memory 22 may also include both an internal storage unit and an external storage device of the smart tv set 100. The memory 22 is used for storing application software installed in the smart tv 100 and various data, such as the automatic adjustment program code of the image quality and the sound quality. The memory 22 may also be used to temporarily store data that has been output or is to be output. In an embodiment, the memory 22 stores an automatic adjustment program for image quality and sound quality, which can be executed by the processor 11, so as to implement the automatic adjustment method for image quality and sound quality in the present application, as described above.
The processor 11 may be a Central Processing Unit (CPU), a microprocessor, a mobile phone baseband processor or other data processing chip in some embodiments, and is configured to run program codes stored in the memory 22 or process data, for example, execute the automatic adjustment method of the image quality and the sound quality, and the like, as described in the above method.
The present invention further provides a computer-readable storage medium, which stores one or more programs, where the one or more programs are executable by one or more processors (in this embodiment, the processor 11) to implement the steps of the method for automatically adjusting image quality and sound quality according to the present invention, specifically the method described above.
In summary, the present invention provides an automatic adjustment method of image quality and sound quality, a smart television and a storage medium, where the method includes obtaining video information of a current video, and identifying a scene model corresponding to the video information; acquiring image quality adjusting parameters and tone quality adjusting parameters corresponding to the scene model; and automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter. The invention aims to calculate the current playing scene in real time according to the video picture when playing the video, automatically switch to the picture quality and tone quality which are most suitable for the current scene according to the current picture scene, and has the advantages of simple and convenient operation, no need of manual setting and convenience for users.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (6)
1. An automatic adjustment method for image quality and sound quality, characterized in that the automatic adjustment method for image quality and sound quality comprises the following steps:
acquiring video information played by a current video, and identifying a scene model corresponding to the video information; the mode of acquiring the video information is realized by butting the business bottom layer interface schemes of all the platform schemes and repackaging the asynchronous IPC communication interface;
the video information comprises an image and video content, and when the video information is the image, the acquiring of the video information played by the current video and the identifying of the scene model corresponding to the video information specifically comprise:
intercepting an image played by a current video, and extracting image information in the image;
determining a scene type corresponding to the image information according to a preset corresponding relation between the image information and a scene model;
the capturing the image played by the current video, and the extracting the image information in the image specifically includes:
capturing an image played by a current video;
converting the image into an image with a preset resolution; wherein, converting the image refers to converting the resolution size of the image;
extracting image information in the image based on the image characteristic parameters;
the video information comprises images and video content, and when the video information is the video content, the acquiring of the video information played by the current video and the identifying of the scene model corresponding to the video information specifically comprise:
acquiring video content played by a current video;
identifying a video label to which the video content belongs according to the film classification to which the video content belongs;
determining a scene model corresponding to the video content according to a preset corresponding relation between the video tag and the scene model;
acquiring image quality adjusting parameters and tone quality adjusting parameters corresponding to the scene model;
automatically adjusting the image quality and the sound quality of the current video playing based on the image quality adjusting parameter and the sound quality adjusting parameter;
the acquiring of the video information played by the current video and the identifying of the scene model corresponding to the video information comprise:
detecting whether an image quality and tone quality adjusting switch is turned on or not;
when detecting that the picture quality and sound quality adjusting switch is turned on, executing the steps of acquiring video information played by a current video and identifying a scene model corresponding to the video information;
when the image quality and tone quality adjusting switch is not turned on, the function of automatically adjusting the image quality and tone quality of the current video playing is not started.
2. The method of claim 1, wherein automatically adjusting the quality of the current video playback based on the quality adjustment parameter further comprises:
and the user is prompted by a popup or voice to determine the adjustment of the image quality and the sound quality of the current video playing.
3. The method according to claim 1, wherein the image quality adjustment parameter includes: one or more of luminance, saturation, sharpness, backlight luminance, and chromaticity.
4. The method of claim 1, wherein the sound quality adjustment parameters include one or more of bass, subwoofer, midrange, treble, surround, dolby, and surround.
5. An intelligent television set, comprising a processor and a memory connected to the processor, wherein the memory stores an automatic adjustment program of picture quality and sound quality, the automatic adjustment program of picture quality and sound quality being executable on the processor, and the automatic adjustment program of picture quality and sound quality, when executed by the processor, implements the steps of the automatic adjustment method of picture quality and sound quality according to any one of claims 1 to 4.
6. A computer-readable storage medium storing one or more programs which are executable by one or more processors to implement the steps of the method for automatically adjusting picture quality and sound quality according to any one of claims 1 to 4.
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