CN105430429B - Method and device for optimizing media data - Google Patents

Abstract

A method for optimizing media data, comprising: after identifying the current media stream data as the first media stream, determining the mode of the current playing screen; obtaining a template corresponding to the mode from the network side or locally for the first media stream file; according to the template file, optimize the first media stream to obtain a second media stream; wherein, the resolution of the first media stream is greater than the resolution of the second media stream. In addition, this paper also provides a device for optimizing media data. With this solution, the following effects can be achieved: the problem that the low-resolution screen cannot play the media stream used for the high-resolution screen can be intelligently optimized according to the user's preference or the current display status of the display screen, Improve user experience; in the optimization process, according to the type of the scene in the video signal, the corresponding scene frame can be optimized for the display effect suitable for the scene.

Description

Method and device for optimizing media data

technical field

The invention belongs to the technical field of multimedia, and in particular relates to a method and device for optimizing media data.

Background technique

Ultra High-Definition (Ultra High-Definition), from the official name of "4K resolution (3840 × 2160 pixels)" approved by the International Telecommunication Union (International Telecommunication Union) as "Ultra High-Definition Ultra HD (Ultra High-Definition)" . The name also applies to "8K resolution (7680 x 4320 pixels)". However, the display screens (TVs) on the market and purchased by most users do not support ultra-high-definition video. For example, Full High Definition (FHD, Full High Definition) TV resolution is 1920×1080 physical resolution, and FHD TV does not support Play ultra-high-definition audio-visual media, causing low-resolution screens to be unable to play media streams for high-resolution screens; although methods for scaling resolutions have been disclosed in the prior art, methods in the prior art cannot scale video When the resolution is higher, a unified optimization process is adopted, which is not smart enough; specifically, it is reflected in the following two aspects: First, it cannot be based on the user's preferences or the current display status of the display screen (for example, when the user expects to play the video) mode or the current display mode of the display screen) to optimize the video accordingly; secondly, the video often includes a variety of scenes, and different scenes have different requirements for the imaging effect, and a unified method is used to optimize different scenes. There will be a problem that the optimized imaging effect is not good.

Contents of the invention

In view of this, in order to solve the problem in the prior art that when zooming the resolution of video, a unified optimization process is adopted, which is not intelligent enough, the purpose of the present invention is to propose a method for optimizing media data. In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is presented below. This summary is not an overview, nor is it intended to identify key/critical elements or delineate the scope of these embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

In some optional embodiments, the method includes:

After identifying the current media stream data as the first media stream, determine the mode of the current playback screen;

Acquiring a template file corresponding to the mode from the network side or locally for the first media stream;

Optimizing the first media stream according to the template file to obtain a second media stream; wherein, the resolution of the first media stream is greater than the resolution of the second media stream.

Another object of the present invention is to propose a device for optimizing media data.

In some optional embodiments, the device includes:

A determining unit, configured to determine the mode of the current playing screen after identifying the current media stream data as the first media stream;

An acquisition unit, configured to acquire a template file corresponding to the mode from the network side or locally for the first media stream;

An optimization unit is configured to optimize the first media stream according to the template file to obtain a second media stream; wherein, the resolution of the first media stream is greater than the resolution of the second media stream.

Adopt above-mentioned embodiment, can reach following effect:

Solved the problem that low-resolution screens could not play media streams intended for high-resolution screens;

It can intelligently optimize the video according to the user's preference or the current display status of the display screen to improve the user experience;

In the optimization process, according to the type of the scene in the video signal, the corresponding scene frame can be optimized for the display effect suitable for the scene;

It reduces the pollution of the environment caused by a large amount of electronic waste due to replacement.

To the above and related ends, one or more embodiments comprise the features hereinafter specified and particularly pointed out in the claims. The following description and drawings detail certain exemplary aspects and are indicative of but a few of the various ways in which the principles of various embodiments may be employed. Other benefits and novel features will become apparent upon consideration of the following detailed description in conjunction with the accompanying drawings, and the disclosed embodiments are intended to include all such aspects and their equivalents.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

Fig. 1 shows a schematic flow chart of a method for optimizing media data according to an embodiment of the present invention;

Fig. 2 shows a schematic structural diagram of an apparatus for optimizing media data according to an embodiment of the present invention.

Detailed ways

The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims. These embodiments of the present invention may be referred to herein, individually or collectively, by the term "invention", which is for convenience only and is not intended to automatically limit the application if in fact more than one invention is disclosed The scope is any individual invention or inventive concept.

Fig. 1 shows a schematic flow chart of a method for optimizing media data according to an embodiment of the present invention;

As shown in Figure 1, in some illustrative embodiments, the method includes the following steps:

Step S101, after identifying the current media stream data as the first media stream, determine the mode of the current playing screen;

Step S102, obtaining a template file corresponding to the mode from the network side or locally for the first media stream;

Step S103, according to the template file, optimize the first media stream to obtain a second media stream; wherein, the resolution of the first media stream is greater than the resolution of the second media stream;

In the above embodiment, the first media stream may be a video signal or an audio-visual signal including a video signal and an audio signal; since the resolution of the first media stream is greater than the resolution of the second media stream, it may It can be seen that in the above process, the resolution of the first media stream can be reduced through the template file to obtain a second media stream with a smaller resolution; in addition, before obtaining the template file, it is necessary to determine the mode, and then according to the mode, obtain the corresponding template file from the network side (such as cloud platform, server, etc.) or locally. According to the user's settings or preferences, the mode required to play the first media stream is determined; through this process, the corresponding template file for subsequent optimization processing can be selected more intelligently according to the user's preferences or the current display state of the display screen , which improves the user experience; this embodiment can be applied to a device with a display device (such as a display screen), such as a smart TV; or can be applied to other devices connected to the above-mentioned device with a display device, such as a set-top box; or can be applied to Some devices in the above equipment, such as chips, etc., are not limited here;

In some illustrative embodiments, the resolution of the first media stream is not less than 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080; After finding out that the current media stream data is an ultra-high-definition video signal, obtain the template file corresponding to the mode of playing the media stream data, and then optimize the ultra-high-definition video signal according to the template file, and finally obtain the full HD video signal;

First of all, the above-mentioned embodiments solve the problem in the prior art that due to the configuration of the display device itself, video signals larger than its resolution cannot be played. For example, an FHD TV (with a resolution of 1920×1080) cannot play a "4K" video signal. (The resolution is 3840×2160); Secondly, the above-mentioned process is based on the mode of the current playback picture, such as the mode of the current playback picture of an FHD TV, or when the user uses an FHD screen to watch a video signal (such as a movie). Select the corresponding template file for the playback screen mode that the user prefers, so that the "4K" video signal can be intelligently optimized in the subsequent optimization process, effectively improving the user experience;

The mode can be a preset mode in the FHD TV, such as: standard mode, eye protection mode, power saving mode, soft mode, high brightness mode, movie mode, etc.; or, the mode can also be the user according to their own Preset modes on the FHD TV, for example, user A has customized the screen display status on the FHD TV, and defined several modes of watching TV that he likes, and each mode has corresponding display parameters ( Brightness, Saturation, Hue and Contrast); or, the mode can be that the FHD TV analyzes the user’s tendency to use when playing video signals based on the user’s usage records, such as the usage records of the past 3 months. model;

In some demonstrative embodiments, the above-mentioned process of determining the mode may include:

the current mode of the display device as said mode; or,

Through the user's identification, search for the user's preset mode corresponding to the user's identification, and use the found mode as the mode; if not found, analyze the user's preferences according to the user's usage records and use that mode as said mode;

In some illustrative embodiments, the above-mentioned process of obtaining the template file specifically includes:

According to the pattern and the identifier of the first media stream obtained through the identification process, query whether the template file is locally stored;

If so, then perform the optimization process according to the template file; if not, then:

sending a query request carrying the mode and the identifier of the first media stream to the network side;

Receiving a feedback message corresponding to the query request replied by the network side;

If it is known through the feedback message that the template file has been found by the network side, download the template file from the network side; otherwise, use a locally preset standard template as the template file;

Optionally, if the corresponding template file is found locally in the above process, it also includes:

Send the version number of the template file to the network side, and request the network side to judge whether the version number of the template file is the latest; if the version number of the template file is the latest, use the template file for subsequent optimization processing; otherwise, then Download the latest template file from the network side to the local, and then use the downloaded template file for subsequent optimization processing;

The identifier of the first media stream can be a movie name or a movie code, and the above-mentioned standard template is a general optimization template stored in advance locally. When no corresponding template file can be found locally or on the network side, you can use The standard template optimizes the first media stream; in the above process, if the template file can only be found according to the identification of the first media stream, but the template file cannot correspond to the model, a prompt is given to the user, and the user is asked whether to Select this template, if the user confirms the selection of this template, the subsequent optimization process will be performed according to the template file, otherwise, the standard template will be used for subsequent optimization process;

In some demonstrative embodiments, the first media stream is a video signal, and the template file includes at least one scene optimization strategy, and the optimization strategy includes: resolution adjustment methods, and brightness, saturation, color The parameter of degree and contrast; The process of described optimization process specifically includes:

Identify the scene played in the first media stream, and optimize the corresponding scene frame in the first media stream according to the optimization strategy of the at least one scene recorded in the template file; if the identified If the scene does not find a corresponding optimization strategy in the template file, it will be optimized according to the local preset standard optimization strategy;

In the above process, it can be understood that the optimization strategy of all or part of the scenes is recorded in the template file; for example, for a movie, it will include multiple scenes, according to the template file, it can be based on the playback progress of the movie, that is, the timeline of the movie , each scene frame in each scene is optimized in turn, and the optimization strategy is different according to the scene; or, the template file only records the optimization strategy of some scenes in the movie, such as: character scenes, big dynamics scene, indoor scene, and outdoor scene, then when performing optimization processing according to the template file, first identify whether the current scene in the film is a scene that needs to be optimized in the template file, and if optimization is required, then according to the optimization strategy in the template file (resolution Adjustment method, and parameters of brightness, saturation, hue and contrast) are optimized for the corresponding scene frame, if the current scene (such as landscape scene) does not record the corresponding optimization strategy in the template file, you can follow the local preset The standard optimization strategy (including the preset standard resolution adjustment method, and the parameters of brightness, saturation, chroma and contrast) optimizes the corresponding picture frame; through the above process, it can type, and optimize the corresponding scene frame for the display effect suitable for the scene;

Of course, the settings of the above-mentioned scenes can also be divided according to the motion states of the objects in the picture. For example, a scene composed of pictures with more frequent movements (ie, a picture with strong motion) is called a scene with strong motion, and a picture with less motion (ie, a picture with strong motion) is called a scene with strong motion. Scenes composed of weak motion pictures) are called weak motion scenes, static pictures are called static scenes, etc.; the specific setting and classification of scenes are not limited here;

In some illustrative embodiments, the optimization process further includes:

Before the optimization according to the template file, the first media stream is preprocessed, the first media stream is decoded, and the format is converted into a YUV or RGB format; and/or,

Convert the frequency of the first media stream optimized according to the template file to a frequency that meets the requirements of the display device; for example, if the frequency of the received "4K" video signal is 120HZ, and the video playback of the current FHD TV If the frequency is up to 30HZ, it is necessary to convert the frequency of the video signal;

For FHD TV, when receiving media stream data, at first it can identify why the data is a signal, and identify the identification of the media stream (film name or film code, etc. are used to mark the identification of the media stream), if the first If the media stream is a video signal, it can be identified by the following methods:

Collecting at least one image from the first media stream; for example, extracting corresponding image frames from the film at fixed time intervals;

At least one image collected in the first media stream is matched in a video information library locally or on the network side (server or cloud platform, etc.), to obtain the identifier of the first media stream; the video The information base is used to store information for identifying videos;

or,

If the first media stream is an audio-visual signal, the above process may include:

Extracting the audio signal and/or video signal in the first media stream, according to the voiceprint of the corresponding audio signal and/or at least one image collected in the video signal, locally or on the network side Matching is performed in the audiovisual information database to obtain the identifier of the first media stream; the audiovisual information database is used to store information identifying audio and/or video;

In the above process, for a movie, audio signals are generally included in addition to video signals; therefore, in addition to identifying images in video signals, voiceprints in audio signals can also be identified, so as to know the the title of the film;

In some illustrative embodiments, if the resolution of the first media stream is 3840×2160, the resolution of the second media stream obtained after optimization processing is 1920×1080; it is assumed that the template file includes characters Scene and landscape scene optimization strategies; then the scenery in the entire picture of the landscape scene is the content that needs to be highlighted in the scene, then the corresponding optimization strategy focuses on adjusting the display parameters of the entire picture after reducing the resolution; and For character scenes, the actions and behaviors of the characters in the picture are the main prominent objects. Therefore, in the optimization process, in addition to reducing the resolution of the scene frame of the character scene, it is also necessary to compensate for the subsequent image development. , focus on adjusting the display parameters of the characters, especially their facial features;

The following example describes the identification of the character scene in the first media stream and the corresponding optimization method:

First, perform face recognition on the scene in the first media stream through edge detection and threshold processing technology, and confirm the face contours of all people in the scene;

Then, calculate the pixels occupied by the human face contours of all people identified, and compare with the preset value, if at least one of the recognized human face contours is greater than the preset value, then the scene is a character scene ; For some large dynamic scenes, such as war scenes, there are often many people in the picture, but what is highlighted in this scene is not the people in the picture, but the overall war scene. The proportion of the scene is identified to determine whether the scene is a character scene;

After the scene is recognized as a character scene, the process of optimizing the scene frame of the character scene in the first media stream according to the template file may include:

First, in order to ensure the brightness and contrast of the face after pixel adjustment, the brightness value of the pixel in the face outline greater than the preset value in the scene frame is increased by 30%, and the contrast value is increased by 30%;

Secondly, the scene frames of the character scene are extracted every other row and column to form a video signal with a resolution of 1920×1080; the process of extracting frames every other row and column described here can be understood to extract even numbers (or odd numbers) in the scene Pixels in rows and columns, the remaining pixels in odd (or even) rows and columns form a video signal with a resolution of 1920×1080; or, even rows and odd columns can be extracted, and the remaining pixels can also form 1920×1080 1080 video signal and other extraction methods;

Finally, adjust the chroma value of the pixel in the even-numbered row of the video signal to the average value of the chroma of the upper and lower adjacent pixels, and adjust the saturation value of the even-numbered column in the video signal to the value of the left and right adjacent pixels. The average value of saturation; because the image quality will be affected during the pixel reduction process, such as uneven hue and saturation, so after the pixel reduction, the hue and saturation in the video signal need to be adjusted accordingly. Make the image of the picture more uniform and soft;

Certainly, the above-mentioned optimization process is only an implementation mode. In the above-mentioned process, the brightness and contrast of the pixels in the contour of the face are first adjusted, then the pixels are reduced, and finally the display parameters (chroma and chromaticity) of the reduced scene frame are adjusted. saturation);

Optionally, pixel reduction can also be performed first, and then the corresponding display parameters are adjusted for the outline of the face and the background other than the face in the picture, so as to highlight the image of the face in the scene frame;

In the process of pixel reduction, it is carried out by a unified way of extracting frames every other row and every column (for example, uniformly extracting even-numbered rows and columns), or it can also be carried out in other ways, for example, different pixel reduction processes can be implemented according to different scenes , for example, in a character scene, pixel reduction is realized by extracting even-numbered rows and odd-numbered columns, while in a landscape scene, pixel reduction is realized by extracting even-numbered rows and columns;

In some illustrative embodiments, the process of obtaining the template file is obtained locally, and also includes the process of updating the template file; for example, the template file on the network side (server or cloud platform) can be detected in real time or periodically , to check whether there is a new template file, and if so, download the corresponding template file from the network side.

FIG. 2 shows a schematic structural diagram of an apparatus for optimizing media data according to an embodiment of the present invention;

In some illustrative embodiments, the device 200 includes:

The determining unit 201 is used for determining the mode of the current playing picture after the identifying unit 202 recognizes that the current media stream data is the first media stream;

An obtaining unit 203, configured to obtain a template file corresponding to the mode from the network side or locally for the first media stream;

An optimization unit 204, configured to optimize the first media stream according to the template file to obtain a second media stream; wherein, the resolution of the first media stream is greater than the resolution of the second media stream;

In some illustrative embodiments, the determining unit 201 includes:

The first determining subunit 2011 is configured to use the current mode of the display device as the mode; or,

The second determining subunit 2012 is used to search for the user preset mode corresponding to the user's identification through the user's identification, and use the found mode as the mode; if not found, then according to the user's identification Use the records to analyze the pattern that meets the user's preferences, and use this pattern as the pattern;

In some illustrative embodiments, the acquiring unit 203 includes:

The first obtaining subunit 2031 is configured to query whether the template file is locally stored according to the pattern and the identifier of the first media stream obtained through the identification process;

If so, then perform the optimization process according to the template file; if not, then:

The second obtaining subunit 2032 is configured to send a query request carrying the mode and the identifier of the first media stream to the network side;

The third obtaining subunit 2033 is configured to receive a feedback message corresponding to the query request replied by the network side;

If it is known through the feedback message that the template file has been found by the network side, download the template file from the network side; otherwise, use a locally preset standard template as the template file;

In some demonstrative embodiments, the first media stream is a video signal, and the template file includes at least one scene optimization strategy, and the optimization strategy includes: a device for adjusting resolution, and brightness, saturation, color The parameters of degree and contrast; the optimization unit 204 specifically includes:

The first optimization subunit 2041 is configured to identify the scene played in the first media stream, and optimize the corresponding scene in the first media stream according to the optimization strategy of the at least one scene recorded in the template file. The scene frame of the scene is optimized; if the identified scene does not find a corresponding optimization strategy in the template file, then optimize it according to the local preset standard optimization strategy;

In some illustrative embodiments, the resolution of the first media stream is not less than 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080.

In some illustrative embodiments, the optimization unit 204 further includes:

The second optimization subunit 2042 is configured to preprocess the first media stream, decode the first media stream and convert the format before the first optimization subunit 2041 optimizes according to the template file in YUV or RGB format; and/or,

The third optimization subunit 2043 is configured to convert the frequency of the first media stream optimized by the first optimization subunit 2041 according to the template file into a frequency that meets the requirements of the display device;

In some illustrative embodiments, if the first media stream is a video signal, the identifying unit 202 includes:

The first identifying subunit 2021 is configured to match at least one image collected in the first media stream with the video information library locally or on the network side, and obtain the identifier of the first media stream;

Or, if the first media stream is an audio-visual signal, the identification unit 202 includes:

The second identification subunit 2022 is configured to extract the audio signal and/or video signal in the first media stream, according to the voiceprint of the corresponding audio signal and/or at least one image collected in the video signal , performing matching in the video and audio information library locally or on the network side, to obtain the identifier of the first media stream.

In some illustrative embodiments, the resolution of the first media stream is 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080; the template file includes the Optimization strategy; the first optimization subunit 2041 includes:

Scene recognition unit 20411, configured to perform face recognition on the scene in the first media stream through edge detection and threshold processing, and confirm the face contours of all people in the scene;

The calculation unit 20412 is used to calculate the pixels occupied by the recognized face contours of all people and compare them with the preset value. If at least one of the recognized face contours is greater than the preset value, then the The scene is a character scene;

Face unit 20413, used for the calculation unit to increase the brightness value of pixels in the face outline greater than the preset value by 30% after the calculation unit recognizes that the current scene is a character scene, and increase the contrast value 30%;

The resolution unit 20414 is used to perform interlaced frame extraction on the scene frames of the character scene to form a video signal with a resolution of 1920×1080;

The compensation unit 20415 is used to adjust the chromaticity value of the pixel in the even-numbered row in the video signal to the average value of the chromaticity of the upper and lower adjacent pixels, and adjust the saturation value of the even-numbered column in the video signal to the left and right two The average of the saturation of neighboring pixels.

Adopt above-mentioned embodiment, can reach following effect:

Solved the problem that low-resolution screens could not play media streams intended for high-resolution screens;

It can intelligently optimize the video according to the user's preference or the current display status of the display screen to improve the user experience;

In the optimization process, according to the type of the scene in the video signal, the corresponding scene frame can be optimized for the display effect suitable for the scene;

It reduces the pollution of the environment caused by a large amount of electronic waste due to replacement.

Those skilled in the art should also understand that various illustrative logical blocks, modules, circuits and algorithm steps described in conjunction with the embodiments herein may be implemented as electronic hardware, computer software or a combination thereof. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (16)

1. A method for optimizing media data, comprising: After identifying the current media stream data as the first media stream, determine the mode of the current playback screen; Acquire a template file corresponding to the mode from the network side or locally for the first media stream; According to the template file, optimizing the first media stream to obtain a second media stream; wherein, the resolution of the first media stream is greater than the resolution of the second media stream; The template file includes an optimization strategy for character scenes; The process of identifying the character scene in the first media stream includes: performing face recognition on the scene in the first media stream through edge detection and threshold processing, and confirming the face contours of all people in the scene; The pixels occupied by the human face contours of all people are compared with the preset value. If at least one of the recognized human face contours is greater than the preset value, the scene is a character scene; Wherein, according to the template file, optimizing the scene frame of the character scene in the first media stream includes: Increase the brightness and contrast of pixels in the face outline greater than the preset value in the scene frame; performing interlaced frame extraction on the scene frames of the character scene to form a video signal with a specific resolution; Adjust the chroma value of the pixel in the even-numbered row in the video signal to the average value of the chroma of the upper and lower adjacent pixels, and adjust the saturation value of the even-numbered column in the video signal to the left and right two adjacent pixels The average value of the saturation of the pixels. 2. The method of claim 1, wherein determining the mode comprises: the current mode of the display device as said mode; or, Through the user's identification, search for the user's preset mode corresponding to the user's identification, and use the found mode as the mode; if not found, analyze the user's preferences according to the user's usage records , and use that as said schema. 3. The method according to claim 1, wherein obtaining the template file comprises: According to the pattern and the identifier of the first media stream obtained through the identification process, query whether the template file is locally stored; If so, then perform the optimization process according to the template file; if not, then: sending a query request carrying the mode and the identifier of the first media stream to the network side; Receiving a feedback message corresponding to the query request replied by the network side; If it is known from the feedback message that the template file has been found by the network side, the template file is downloaded from the network side; otherwise, a locally preset standard template is used as the template file. 4. The method according to claim 1, wherein the first media stream is a video signal, and the template file includes an optimization strategy for at least one scene, and the optimization strategy includes: a resolution adjustment method, and The parameters of brightness, saturation, chroma and contrast; the process of the optimization process specifically includes: Identifying the scene played in the first media stream, and optimizing the scene frame of the corresponding scene in the first media stream according to the optimization strategy of the at least one scene recorded in the template file; if identified If there is no corresponding optimization strategy found in the template file for the selected scene, it will be optimized according to the locally preset standard optimization strategy. 5. The method according to claim 4, wherein the resolution of the first media stream is not less than 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080. 6. method as claimed in claim 4, is characterized in that, the process of described optimization processing also comprises: Before the optimization according to the template file, the first media stream is preprocessed, the first media stream is decoded, and the format is converted into a YUV or RGB format; and/or, converting the frequency of the first media stream optimized according to the template file into a frequency meeting the requirements of the display device. 7. The method according to claim 3, wherein if the first media stream is a video signal, the process of obtaining the identification of the first media stream through the identification includes: Matching at least one image collected in the first media stream with the video information library locally or on the network side to obtain the identifier of the first media stream; Or, if the first media stream is an audio-visual signal, the process of obtaining the identification of the first media stream through the identification includes: Extracting the audio signal and/or video signal in the first media stream, according to the voiceprint of the corresponding audio signal and/or at least one image collected in the video signal, locally or on the network side Matching is performed in the video and audio information database to obtain the identifier of the first media stream. 8. The method according to claim 4, wherein the resolution of the first media stream is 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080; according to the The template file is used to optimize the scene frame of the character scene in the first media stream, including: Increase the brightness value of pixels in the face outline greater than the preset value in the scene frame by 30%, and increase the contrast value by 30%; The scene frame of the character scene is extracted by row and column to form a video signal with a resolution of 1920×1080. 9. A device for optimizing media data, comprising: The determination unit is used for determining the mode of the current playing picture after the identification unit recognizes that the current media stream data is the first media stream; An acquisition unit, configured to acquire a template file corresponding to the mode from the network side or locally for the first media stream; An optimization unit, configured to optimize the first media stream to obtain a second media stream according to the template file; wherein, the resolution of the first media stream is greater than the resolution of the second media stream; The template file includes an optimization strategy for character scenes; The optimization unit includes: a scene recognition unit, configured to perform face recognition on the scene in the first media stream through edge detection and threshold processing, and confirm the face contours of all people in the scene; a calculation unit, used to Calculating the pixels occupied by the human face contours of all people identified, and comparing with the preset value, if at least one of the recognized human face contours is greater than the preset value, then the scene is a character scene; The optimization unit includes a first optimization subunit, and the first optimization subunit includes: The human face unit is used to increase the brightness and contrast of pixels in the face outline greater than the preset value in the scene frame after the calculation unit recognizes that the current scene is a character scene; The resolution unit is used to perform interlaced and column-by-column extraction of the scene frames of the character scene to form a video signal of a specific resolution; The compensation unit is used to adjust the chroma value of the pixel in the even-numbered row in the video signal to the average value of the chroma of the upper and lower adjacent pixels, and adjust the saturation value of the even-numbered column in the video signal to The average value of the saturation of the left and right adjacent pixels. 10. The device according to claim 9, wherein the determining unit comprises: A first determining subunit, configured to use the current mode of the display device as the mode; or, The second determining subunit is used to search for a user-preset mode corresponding to the user's identification through the user's identification, and use the found mode as the mode; if not found, then according to the user's use Record and analyze the pattern that meets the user's preferences, and use this pattern as the pattern. 11. The device according to claim 9, wherein the acquiring unit comprises: The first obtaining subunit is configured to query whether the template file is locally stored according to the pattern and the identifier of the first media stream obtained through the identification process; If so, then perform the optimization process according to the template file; if not, then: The second obtaining subunit is configured to send a query request carrying the mode and the identifier of the first media stream to the network side; The third acquiring subunit is configured to receive a feedback message corresponding to the query request replied by the network side; If it is known from the feedback message that the template file has been found by the network side, the template file is downloaded from the network side; otherwise, a locally preset standard template is used as the template file. 12. The device according to claim 9, wherein the first media stream is a video signal, and the template file includes an optimization strategy for at least one scene, and the optimization strategy includes: a device for adjusting resolution, and Parameters of brightness, saturation, chroma, and contrast; the first optimization subunit is configured to identify the scene played in the first media stream, according to the at least one scene recorded in the template file The optimization strategy is to optimize the scene frame of the corresponding scene in the first media stream; if the identified scene does not find a corresponding optimization strategy in the template file, then optimize according to the locally preset standard optimization strategy. 13. The device according to claim 12, wherein the resolution of the first media stream is not less than 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080. 14. The device according to claim 12, wherein the optimization unit further comprises: The second optimization subunit is used to preprocess the first media stream, decode the first media stream and convert the format to YUV before the first optimization subunit optimizes according to the template file or RGB format; and/or, The second optimization subunit is configured to convert the frequency of the first media stream optimized by the first optimization subunit according to the template file into a frequency that meets the requirements of the display device. 15. The device according to claim 11, wherein if the first media stream is a video signal, the identifying unit comprises: The first identifying subunit is configured to match at least one image collected in the first media stream with the video information library locally or on the network side, and obtain the identifier of the first media stream; Or, if the first media stream is an audio-visual signal, the identification unit includes: The second identification subunit is configured to extract the audio signal and/or video signal in the first media stream, according to the corresponding voiceprint of the audio signal and/or at least one image collected in the video signal, Matching is performed locally or in the video and audio information database on the network side to obtain the identifier of the first media stream. 16. The device according to claim 12, wherein the resolution of the first media stream is 3840×2160, and the resolution of the second media stream obtained after optimization processing is 1920×1080; The human face unit is used to increase the brightness value of pixels in the human face outline greater than the preset value in the scene frame by 30%, and increase the contrast value by 30% after the calculation unit recognizes that the current scene is a character scene %; The resolution unit is configured to perform interlaced and column-by-column frame extraction on scene frames of character scenes to form a video signal with a resolution of 1920×1080.