WO2020135499A1 - 画质调整方法、电视及可读存储介质 - Google Patents

画质调整方法、电视及可读存储介质 Download PDF

Info

Publication number
WO2020135499A1
WO2020135499A1 PCT/CN2019/128280 CN2019128280W WO2020135499A1 WO 2020135499 A1 WO2020135499 A1 WO 2020135499A1 CN 2019128280 W CN2019128280 W CN 2019128280W WO 2020135499 A1 WO2020135499 A1 WO 2020135499A1
Authority
WO
WIPO (PCT)
Prior art keywords
image quality
video
current
quality parameter
station
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2019/128280
Other languages
English (en)
French (fr)
Inventor
张乐
李建强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen TCL New Technology Co Ltd
Shenzhen TCL Digital Technology Co Ltd
Original Assignee
Shenzhen TCL New Technology Co Ltd
Shenzhen TCL Digital Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen TCL New Technology Co Ltd, Shenzhen TCL Digital Technology Co Ltd filed Critical Shenzhen TCL New Technology Co Ltd
Publication of WO2020135499A1 publication Critical patent/WO2020135499A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • 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 or rendering scenes according to encoded video stream scene graphs
    • H04N21/4402—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 reformatting operations of video signals for household redistribution, storage or real-time display
    • 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
    • H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • H04N21/4316—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
    • 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 or rendering scenes according to encoded video stream scene graphs
    • H04N21/4402—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 reformatting operations of video signals for household redistribution, storage or real-time display
    • H04N21/440263—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 reformatting operations of video signals for household redistribution, storage or real-time display by altering the spatial resolution, e.g. for displaying on a connected PDA
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/462—Content or additional data management e.g. creating a master electronic programme guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities

Definitions

  • the present application relates to the technical field of video processing, in particular to a method for adjusting image quality, a television, and a readable storage medium.
  • image quality adjustment is a very important task.
  • TV image quality adjustment generally adopts a set of parameters for the screen content to achieve the effect of screen rendering.
  • each video has its own picture style, and this method of uniformly adjusting the picture quality cannot reflect the uniqueness and high-level sense of the video picture.
  • the main purpose of the present application is to provide an image quality adjustment method, a TV, and a readable storage medium, aiming to solve the technical problem of the single image quality adjustment method and low user perception experience in the prior art.
  • the present application provides a method for adjusting image quality, which is applied to a television.
  • the method for adjusting image quality includes the following steps:
  • the image quality adjustment method before the step of acquiring the current video played by the TV, the image quality adjustment method further includes:
  • the step of determining that the current video is a customized video includes:
  • the current video is determined to be a customized video.
  • the step of retrieving and importing the first image quality parameter from the cloud database further includes:
  • the step of obtaining the current video played by the TV includes:
  • the step of identifying the TV station logo of the current picture of the TV station channel includes:
  • the first rectangular area is a station logo area.
  • the image quality adjustment method further includes:
  • the step of obtaining the network time includes:
  • the TV guide is activated and connected to the network time server;
  • the present application also provides a television.
  • the television includes: a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor.
  • the computer may When the read instruction is executed by the processor, the steps of the image quality adjustment method described in any one of the above are implemented.
  • the present application also provides a readable storage medium having computer readable instructions stored on the readable storage medium, the computer readable instructions being executed by a processor to achieve any of the above The steps of the image quality adjustment method described above.
  • This application obtains the current video played by the TV, retrieves and imports the first image quality parameter from the cloud database when determining that the current video is a customized video, and adjusts the current video based on the image quality parameter, thereby realizing the current video
  • Picture quality adjustment, picture quality parameters include color temperature, hue, etc. After adjustment, the current video is more in line with the style of the video itself.
  • some picture quality problems inevitably exist in the video shooting and production process, such as color cast, highlight Problems such as exposure can also be improved, effectively improving the user's viewing experience.
  • This application adjusts the current video by retrieving and importing customized picture quality parameters, which solves the problem of poor picture quality caused by the picture quality defects of the video itself, and effectively improves the user's viewing experience.
  • FIG. 1 is a schematic diagram of a structure of a TV hardware involved in the solution of an embodiment of the present application
  • FIG. 2 is a block diagram of the TV of this application.
  • FIG. 3 is a schematic flowchart of the first embodiment of the image quality adjustment method of the present application.
  • FIG. 4 is a schematic flowchart of a second embodiment of a method for adjusting image quality according to the present application.
  • FIG. 5 is a schematic flowchart of a third embodiment of an image quality adjustment method according to this application.
  • FIG. 6 is a schematic flowchart of a fourth embodiment of an image quality adjustment method according to this application.
  • FIG. 7 is a schematic flowchart of step S103 in the fourth embodiment of the image quality adjustment method of the present application.
  • FIG. 1 is a schematic diagram of a TV structure of a hardware operating environment involved in an embodiment of the present application.
  • the television may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002.
  • the communication bus 1002 is used to implement connection communication between these components.
  • the user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface and a wireless interface.
  • the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the memory 1005 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as a magnetic disk memory.
  • the memory 1005 may optionally be a storage device independent of the foregoing processor 1001.
  • the TV may also include a camera, RF (Radio Frequency (radio frequency) circuits, sensors, audio circuits, WiFi modules, etc.
  • RF Radio Frequency (radio frequency) circuits
  • sensors audio circuits
  • WiFi modules etc.
  • the TV can also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, and infrared sensors, which will not be repeated here.
  • FIG. 1 does not constitute a limitation on the television, and may include more or less components than those illustrated, or combine certain components, or arrange different components.
  • the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and computer-readable instructions.
  • the network interface 1004 is mainly used to connect to the back-end server and perform data communication with the back-end server;
  • the user interface 1003 is mainly used to connect to the client (user end) and perform data communication with the client;
  • the processor 1001 can be used to call computer-readable instructions stored in the memory 1005 and perform the following operations:
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • the first rectangular area is a station logo area.
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • processor 1001 can call computer-readable instructions stored in the memory 1005, and also perform the following operations:
  • FIG. 2 is a block diagram of a TV of this application.
  • the television of this application includes an acquisition module, a storage module, and an import module, where,
  • the acquisition module is used to obtain the brightness information and network time in real time to know the current video being played on the current TV;
  • Storage module used to store information such as brightness data and network time
  • the import module is used to import the picture quality parameters into the TV software via the network.
  • the current video is played.
  • the TV obtains the brightness information and network time of the current picture in real time through the acquisition module, and then obtains the first video information of the current video being played by the current TV, including the TV station logo, network time and brightness. Data; and, store the brightness data and network time and other information through the storage module; after determining that the current video is a customized video, the TV imports the image quality parameters from the cloud database, and then realizes the image quality adjustment of the current video.
  • FIG. 3 is a schematic flowchart of a first embodiment of an image quality adjustment method of the present application.
  • the image quality adjustment method includes:
  • Step S10 Obtain the current video played by the TV.
  • some videos will be played. After selecting the favorite TV station, the user will often watch it for a period of time.
  • the video played at this time is the current video.
  • the current video includes the TV station logo, network time and Video content played.
  • the video content is usually a certain TV program, and the video information of the current video can be obtained through the TV station logo and network time, that is, the currently playing TV program, and whether the current video is a customized video is judged, so as to judge whether the current video quality needs to be adjusted .
  • Step S20 Determine whether the current video is a customized video.
  • determining whether the current video is a customized video specifically includes: acquiring first video information corresponding to the current video and second video information corresponding to the local video; determining whether the first video information is consistent with the second video Corresponding to the two video information; if it is, it is determined that the current video is a customized video.
  • Video information refers to video information such as name, category, production time, etc.
  • the first video information is the video information of the current video
  • the local video is a customized video adjusted by the second image quality parameter
  • the second video information is the local The video information of the customized video after the video is adjusted.
  • the first video information By comparing the first video information and the second video information, if the first video information, such as the name and category in it and the name and category in the second video information correspond to each other, it can be determined as a customized video; if the first video information If it does not correspond to the second video information, it is determined to be a non-customized video without any processing.
  • Step S30 if so, retrieve and import the first image quality parameter from the cloud database.
  • the first image quality parameter is retrieved from the cloud database, and the first image quality parameter is imported into the TV software.
  • the first image quality parameters include color temperature, hue, saturation, brightness, contrast, sharpness, etc.
  • the video is adjusted locally, including selecting the appropriate color temperature, selecting hue, saturation , Brightness, contrast, sharpness and other second image quality parameters, adjust the local video through the second image quality parameter to achieve the best display effect of the adjusted video, and at the same time, process the video with the second image quality parameter It is a picture quality file.
  • the image quality file called is actually a file after the local video is adjusted by the second image quality parameter. Therefore, the second image quality parameter will be exported as the first image quality parameter, and then the The second picture quality parameter is imported into the TV software to adjust the picture quality of the current video.
  • Step S40 Adjust the current video based on the first image quality parameter.
  • the current video is adjusted through the first image quality parameters. Adjustments to the current video, including adjustments to the video's color temperature, hue, saturation, brightness, contrast, sharpness, and other image quality parameters, make the video screen effectively improve some image quality problems during playback, such as color cast, highlight exposure .
  • This application obtains the current video played by the TV, retrieves and imports the first image quality parameter from the cloud database when determining that the current video is a customized video, and adjusts the current video based on the first image quality parameter, thereby realizing the current video
  • Video quality adjustment image quality parameters include color temperature, hue, etc. After adjustment, the current video is more in line with the style of the video itself. At the same time, some image quality problems, such as color cast, Problems such as highlight exposure can also be improved, effectively improving the user's viewing experience.
  • This application adjusts the current video by retrieving and importing customized image quality parameters, which solves the problem of poor image quality caused by the image quality defects of the video itself, and effectively improves the user's viewing experience.
  • the present application also proposes a second embodiment of the image quality adjustment method.
  • the image quality adjustment method further includes:
  • Step S11 obtaining local video
  • Local video refers to some videos stored in the local cloud database.
  • the local video is used to set the quality parameters of the customized video.
  • the quality file is obtained.
  • the quality file includes the local video. Video information, brightness data, upload time, production time, etc.
  • the quality engineer can determine the style of the content of the local video.
  • the quality of the local video conforming to the subjective aesthetic of the quality engineer can be obtained, so as to realize the individuality of the local video. Customized picture quality adjustment.
  • Step S12 When receiving the setting instruction of the second image quality parameter corresponding to the local video, adjust the local video based on the second image quality parameter to obtain an image quality file.
  • the image quality engineer sets the image quality parameters of the local video according to the local video's own style.
  • the local video is a TV series XXX, which is suitable for soft light style.
  • the tone is adjusted to soft light
  • the local video is adjusted by the second image quality parameter to obtain an image quality file, and the image quality file includes video information, brightness data, upload time and production time of the TV XXX, and data of the second image quality parameter.
  • Step S13 Upload the image quality file to the cloud database.
  • the second image quality parameters in the image quality file are retrieved and imported to realize the adjustment of the current video image quality.
  • the local video before acquiring the current video played by the television, the local video is acquired; when receiving the setting instruction of the second image quality parameter corresponding to the local video, the adjustment is performed based on the second image quality parameter
  • the local video obtains the picture quality file; upload the picture quality file to the cloud database.
  • the picture quality engineer adjusts the picture based on subjective contrast according to the style of the customized video, such as soft and full color.
  • the specific process of setting the style of the customized video is as follows:
  • the local video is TV drama XXX.
  • the style of TV drama XXX adjust its second image quality parameter so that the tone of TV drama XXX is soft and output the image quality file, and
  • the quality file is uploaded to the cloud database, so that when the current video is determined to be a customized video, the second image quality parameter of the image quality file is retrieved and imported for image quality adjustment.
  • step S30 further includes:
  • Step S301 Obtain first video information corresponding to the current video and second video information corresponding to the local video.
  • Each video has its own video information, such as name, category, production time and other video information, and the local video is a customized video adjusted by the second picture quality parameter, by obtaining the first video information of the current video and the local video
  • the corresponding second video information facilitates subsequent comparison of the first video information and the second video information, and then determines whether the current video is a customized video.
  • Step S302 Determine whether the first video information corresponds to the second video information
  • the first video information By comparing the first video information and the second video information, if the first video information, such as the name and category in it and the name and category in the second video information correspond to each other, it can be determined as a customized video; if the first video information If it does not correspond to the second video information, it is determined to be a non-customized video without any processing.
  • Step S303 if so, determine that the current video is a customized video.
  • determining whether the current video is a customized video specifically includes: acquiring first video information corresponding to the current video and second video information corresponding to the local video; determining whether the first video information is Corresponding to the second video information; if it is, it is determined that the current video is a customized video.
  • Each video has its own video information, such as name, category, production time and other video information.
  • the first video information of the current video played by the TV corresponds to the second video information of the local video, it is determined that the current video is a customized video At this time, you need to customize the image quality of the current video.
  • the local video is the second video information of TV series XXX.
  • the style of TV series XXX adjust the image quality parameters so that the tone of TV series XXX is soft and output the image quality file, and upload the image quality file to the cloud database.
  • the first video information corresponds to the second video information
  • the image quality parameters corresponding to the local video are retrieved and imported, and the current video is adjusted to a soft tone video by the image quality parameters.
  • step S30 includes:
  • the cloud database stores the image quality file
  • the image quality file contains the second image quality parameter that adjusts the local video to the customized video. Therefore, when it is determined that the current video is the customized video, connect to the cloud database and call After the image quality parameter interface, the second image quality parameter of the image quality file is exported from the cloud database, and the second image quality parameter is imported as the first image quality parameter into the TV software through the network, so that the current video image quality parameter is automatically Settings to achieve customized image quality adjustment for the current video.
  • step S10 includes:
  • Step S101 when receiving the broadcast instruction, search the TV station program database
  • the user selects the channel of the TV station according to his own needs, and sends the corresponding play command to the TV through the remote control.
  • the TV receives the play command, it will search the TV station program database carried by itself.
  • Step S102 play the TV station channel corresponding to the play instruction in the TV station program database
  • the existing TV program database stores many TV channels.
  • a broadcast command such as receiving a broadcast command to play channel A
  • search the TV station program database so as to select channel A from the TV station program database and play the playback command Corresponding A channel.
  • Step S103 Identify the TV station logo of the current picture of the TV station channel, and obtain the network time.
  • TV channels will be fixed in the upper left corner or upper right corner of the current screen with a TV station logo, and of course, network time.
  • the TV station logo is calculated by the recognition logo algorithm; after purchasing the TV, the user connects to the wireless or wired network according to the TV activation guide, and can obtain the standard network time through some public network time servers published on the Internet.
  • Step S104 Acquire the first video information of the current video according to the TV station logo and network time.
  • obtaining the current video broadcasted by the TV specifically includes: searching a TV station program database when receiving a play command; playing a TV station channel corresponding to the play command in the TV station program database; identifying the current picture of the TV station channel TV station logo and obtain network time; obtain the first video information of the current video according to the TV station logo and network time.
  • the video information refers to video information such as name, category, and production time.
  • the first video information is the video information of the current video, including the name, Category and other information, such as TV A, the TV series XXX will be broadcast from 8 pm to 9 pm, then, according to the logo of TV A and the network time, if the network time is 8:10, then the first video of the current video at this time
  • the information is TV series XXX.
  • the current video is obtained through the TV station logo and the network time, thereby obtaining the first video information corresponding to the current video, and then comparing the first video information with the second video information of the local video to determine whether the current video is a customized video.
  • step S103 includes:
  • Step S1031 dividing the current picture into a plurality of rectangular areas
  • Step S1032 marking the position coordinates of each rectangular area on the current screen
  • Step S1033 receiving the brightness data of each rectangular area and the corresponding position information through the local end, and judging the stability of the brightness data of each rectangular area;
  • Step S1034 if the brightness data of the first rectangular area remains unchanged within a preset time range, it is determined that the first rectangular area is a station logo area.
  • the TV station logo that identifies the current picture of the TV station channel is specifically: the current picture is divided into a plurality of rectangular areas, for example, divided into n*m rectangular areas, the values of n and m are as large as possible, rectangular The area is divided as much as possible to make the recognition more accurate; mark the position coordinates of each rectangular area on the current screen, that is, mark the position coordinates of each rectangle area on the current screen (x1, y1), (x2, y1), (x1 , Y2), (x2, y2)..
  • the preset time may be 15 seconds, 30 seconds, or other.
  • the station logo area of the TV station logo is accurately obtained, and then the position coordinates of the multiple rectangular areas are fitted to obtain the pattern of the TV station logo, thereby achieving accurate acquisition of the TV station logo.
  • the image quality adjustment method further includes:
  • Step S1035 Fit the position coordinates corresponding to the first rectangular area to obtain a TV station logo.
  • the first rectangular area is a plurality of rectangular areas that keep the brightness data unchanged.
  • the pattern of the TV station logo is obtained.
  • the specific TV station logo name is obtained.
  • step S103 further includes:
  • obtaining the network time is specifically: after the user first purchases a TV, the user will connect to a wireless or wired network according to the TV activation guide, and the standard network time may be obtained through some public network time servers published on the Internet.
  • the embodiments of the present application also provide a readable storage medium, and the computer-readable storage medium may be a non-volatile readable storage medium.
  • Computer-readable instructions are stored on the readable storage medium, and when the computer-readable instructions are executed by the processor, the steps of the image quality adjustment method described above are implemented.
  • the methods in the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware, but in many cases the former is better Implementation.
  • the technical solution of the present application can be embodied in the form of a software product in essence or part that contributes to the existing technology, and the computer software product is stored in a storage medium (such as ROM/RAM as described above) , Magnetic disks, optical disks), including several instructions to enable a device device (which may be a mobile phone, computer, server, air conditioner, or network equipment, etc.) to perform the method described in each embodiment of the present application.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

本申请公开了一种画质调整方法、电视及可读存储介质，其中，画质调整方法包括：获取所述电视播放的当前视频；判断所述当前视频是否为定制视频；若是，则从云端数据库调取并导入第一画质参数；基于所述第一画质参数调整所述当前视频。

Description

画质调整方法、电视及可读存储介质
本申请要求深圳TCL新技术有限公司、深圳TCL数字技术有限公司于2018年12月26日提交中国专利局、申请号为201811606880.1、发明名称为“画质调整方法、电视及可读存储介质”的中国专利申请的优先权，其全部内容通过引用结合在申请中。
技术领域
本申请涉及视频处理技术领域，尤其涉及画质调整方法、电视及可读存储介质。
 背景技术
在视频处理领域，画质调节是一个非常重要的工作，电视机画质调节一般都是针对画面内容采用一套参数达到画面渲染的效果。但是，每一部视频都有自己的画面风格，这种千篇一律的调节画质的方法不能体现出视频画面的独特性和高级感。
 技术解决方案
本申请的主要目的在于提供一种画质调整方法、电视及可读存储介质，旨在解决现有技术中画质调节方法单一、用户观感体验低的技术问题。
为实现上述目的，本申请提供一种画质调整方法，应用于电视，所述画质调整方法包括以下步骤：
获取所述电视播放的当前视频；
判断所述当前视频为定制视频，则从云端数据库调取并导入第一画质参数；
基于所述第一画质参数调整所述当前视频。
可选地，所述获取所述电视播放的当前视频的步骤之前，所述画质调整方法还包括：
获取本地视频；
接收到所述本地视频对应的第二画质参数的设置指令，基于所述第二画质参数调整所述本地视频得到画质文件；
将所述画质文件上传至所述云端数据库。
可选地，所述判断所述当前视频为定制视频的步骤包括：
获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；
判断所述第一视频信息与所述第二视频信息对应，则判定所述当前视频为定制视频。
可选地，所述从云端数据库调取并导入第一画质参数的步骤还包括：
连接云端数据库；
调用画质参数接口，从所述云端数据库中导出所述画质文件的第二画质参数；
将所述第二画质参数作为第一画质参数导入所述电视。
可选地，所述获取所述电视播放的当前视频的步骤包括：
接收到播放指令，查找电视台节目资料库；
播放所述电视台节目资料库中播放指令对应的电视台频道；
识别所述电视台频道的当前画面的电视台台标，且获取网络时间；
根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
可选地，所述识别所述电视台频道的当前画面的电视台台标的步骤包括：
将所述当前画面划分为多个长方形区域；
标记每个长方形区域在当前画面的位置坐标；
通过本地端接收每个长方形区域的亮度数据及对应的位置信息，并判断每个长方形区域的亮度数据的稳定性；
若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。
可选地，所述判定所述第一长方形区域为台标区域的步骤之后，所述画质调整方法还包括：
将所述第一长方形区域对应的位置坐标进行拟合，得到电视台台标。
可选地，所述获取网络时间的步骤包括：
所述电视的向导被激活，连接网络时间服务器；
通过所述网络时间服务器获取网络时间。
此外，为实现上述目的，本申请还提供一种电视，所述电视包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机可读指令，所述计算机可读指令被所述处理器执行时实现上述中任一项所述的画质调整方法的步骤。
此外，为实现上述目的，本申请还提供一种可读存储介质，所述可读存储介质上存储有计算机可读指令，所述计算机可读指令被处理器执行时实现上述中任一项所述的画质调整方法的步骤。
本申请通过获取所述电视播放的当前视频，在确定该当前视频为定制视频时，从云端数据库调取并导入第一画质参数，且基于画质参数调整当前视频，从而实现对当前视频的画质调整，画质参数包括色温、色调等，经过调整后的当前视频，更符合视频自身的风格，同时，在视频拍摄和制作过程中难免存在的一些画质问题，比如偏色、高亮曝光等问题也能得到改善，有效改善用户的观看体验。本申请通过调取并导入定制的画质参数进行对当前视频调整，解决了视频自身画质缺陷引起的画质效果不佳的问题，有效改善用户的观看体验。
 附图说明
图1为本申请实施例方案涉及的电视硬件结构示意图；
图2为本申请电视的方框示意图；
图3为本申请画质调整方法第一实施例的流程示意图；
图4为本申请画质调整方法第二实施例的流程示意图；
图5为本申请画质调整方法第三实施例的流程示意图；
图6为本申请画质调整方法第四实施例的流程示意图；
图7为本申请画质调整方法第四实施例中步骤S103细化后的流程示意图。
本申请目的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
 本发明的实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
如图1所示，图1是本申请实施例方案涉及的硬件运行环境的电视结构示意图。
如图1所示，该电视可以包括：处理器1001，例如CPU，网络接口1004，用户接口1003，存储器1005，通信总线1002。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏（Display）、输入单元比如键盘（Keyboard），可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可选的可以包括标准的有线接口、无线接口（如WI-FI接口）。存储器1005可以是高速RAM存储器，也可以是稳定的存储器（non-volatile memory），例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
可选地，电视还可以包括摄像头、RF（Radio Frequency，射频）电路，传感器、音频电路、WiFi模块等等。当然，电视还可配置陀螺仪、气压计、湿度计、温度计、红外线传感器等其他传感器，在此不再赘述。
本领域技术人员可以理解，图1中示出的电视结构并不构成对电视的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图1所示，作为一种计算机存储介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及计算机可读指令。
在图1所示的电视中，网络接口1004主要用于连接后台服务器，与后台服务器进行数据通信；用户接口1003主要用于连接客户端（用户端），与客户端进行数据通信；而处理器1001可以用于调用存储器1005中存储的计算机可读指令，并执行以下操作：
获取所述电视播放的当前视频；
判断所述当前视频是否为定制视频；
若是，则从云端数据库调取并导入第一画质参数；
基于所述第一画质参数调整所述当前视频。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
获取本地视频；
在接收到所述本地视频对应的第二画质参数的设置指令时，基于所述第二画质参数调整所述本地视频得到画质文件；
将所述画质文件上传至所述云端数据库。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；
判断所述第一视频信息是否与所述第二视频信息对应；
若是，则判定所述当前视频为定制视频。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
连接云端数据库；
调用画质参数接口后，从所述云端数据库中导出所述画质文件的第二画质参数；
将所述第二画质参数作为第一画质参数导入所述电视。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
在接收到播放指令时，查找电视台节目资料库；
播放所述电视台节目资料库中播放指令对应的电视台频道；
识别所述电视台频道的当前画面的电视台台标，且获取网络时间；
根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
将所述当前画面划分为多个长方形区域；
标记每个长方形区域在当前画面的位置坐标；
通过本地端接收每个长方形区域的亮度数据及对应的位置信息，并判断每个长方形区域的亮度数据的稳定性；
若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
将所述第一长方形区域对应的位置坐标进行拟合，得到电视台台标。
进一步地，处理器1001可以调用存储器1005中存储的计算机可读指令，还执行以下操作：
在所述电视的向导被激活后，连接网络时间服务器；
通过所述网络时间服务器获取网络时间。
参照图2为本申请电视的方框示意图。
本申请的电视包括获取模块、存储模块、导入模块，其中，
获取模块，用于实时获取亮度信息和网络时间，得知当前电视正在播放的当前视频；
存储模块，用于存储亮度数据及网络时间等信息；
导入模块，用于将画质参数通过网络导入到电视的软件内。
在用户打开电视时，播放一些当前视频，电视通过获取模块实时获取当前画面的亮度信息和网络时间，进而得到当前电视正在播放的当前视频的第一视频信息，包括电视台台标、网络时间及亮度数据；并且，通过存储模块存储亮度数据及网络时间等信息；在确定当前视频为定制视频后，电视从云端数据库导入画质参数，进而实现对当前视频的画质调整。
参照图3，图3为本申请画质调整方法第一实施例的流程示意图，在第一实施例中，画质调整方法包括：
步骤S10，获取所述电视播放的当前视频。
本实施例中，用户打开电视后，会播放一些视频，用户在选择自己喜爱的电视台后，往往会持续观看一段时间，此时播放的视频为当前视频，当前视频包括电视台台标、网络时间以及播放的视频内容。视频内容一般为某一电视节目，通过电视台台标及网络时间能够获取当前视频的视频信息，即当前播放的电视节目，并判断当前视频是否为定制视频，从而判断当前视频的画质是否需要调整。
步骤S20，判断所述当前视频是否为定制视频。
本实施例中，判断当前视频是否为定制视频具体为：获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；判断所述第一视频信息是否与所述第二视频信息对应；若是，则判定所述当前视频为定制视频。
视频信息，是指如名称、类别、制作时间等视频信息，并且，第一视频信息即当前视频的视频信息，本地视频是通过第二画质参数调整后的定制视频，第二视频信息即本地视频经过调整后的定制视频的视频信息。
通过对比第一视频信息与第二视频信息，若第一视频信息，如其中的名称、类别与第二视频信息中的名称、类别一一对应，则可判定为定制视频；若第一视频信息与第二视频信息不对应，则判定为非定制视频，无需做任何处理。
步骤S30，若是，则从云端数据库调取并导入第一画质参数。
本实施例中，在确认所述当前视频为定制视频时，从云端数据库中调取第一画质参数，并将第一画质参数导入电视的软件中。第一画质参数包括色温、色调、饱和度、亮度、对比度、清晰度等，针对某一视频，根据视频的风格类型，在本地对视频进行调整，包括选择合适的色温，选择色调、饱和度、亮度、对比度、清晰度等第二画质参数的数值，通过第二画质参数调整本地视频，使调整后的视频显示效果达到最佳，同时，将带有第二画质参数的视频处理为画质文件，输出画质文件后上传至云端数据库存储，以便于在确定当前视频为定制视频时的导入。并且，在导入第一画质参数时，调用的画质文件实际为本地视频经过第二画质参数调整后的文件，因此，将第二画质参数会作为第一画质参数导出，进而将第二画质参数导入电视的软件中，对当前视频进行画质调整。
步骤S40，基于所述第一画质参数调整所述当前视频。
本实施例中，在导入画质参数后，通过第一画质参数对当前视频进行调整。对当前视频的调整，包括对视频的色温、色调、饱和度、亮度、对比度、清晰度等画质参数的调整，使得视频画面在播放时有效改善一些画质问题，如偏色、高亮曝光。
本申请通过获取所述电视播放的当前视频，在确定该当前视频为定制视频时，从云端数据库调取并导入第一画质参数，且基于第一画质参数调整当前视频，从而实现对当前视频的画质调整，画质参数包括色温、色调等，经过调整后的当前视频，更符合视频自身的风格，同时，在视频拍摄和制作过程中难免存在的一些画质问题，比如偏色、高亮曝光等问题也能得到改善，有效改善用户的观看体验。本申请通过调取并导入定制的画质参数进行对当前视频调整，解决了视频自身画质缺陷引起的画质效果不佳的问题，有效改善用户的观看体验。
基于第一实施例，本申请还提出画质调整方法的第二实施例，如图4所示，在步骤S10之前，所述画质调整方法还包括：
步骤S11，获取本地视频；
本地视频，是指存储于本地云端数据库的一些视频，本地视频用于对定制视频的画质参数的设置，在对本地视频进行画质参数调整后得到画质文件，画质文件包括本地视频的视频信息、亮度数据、上传时间、制作时间等。
获取本地视频，以便于画质工程师针对本地视频的内容进行风格判定，在对本地视频的画质进行调整后，得到符合画质工程师主观审美的本地视频的画质，从而实现对本地视频的个人定制化画质调整。
步骤S12，在接收到所述本地视频对应的第二画质参数的设置指令时，基于所述第二画质参数调整所述本地视频得到画质文件。
画质工程师根据本地视频的自身风格，对本地视频进行画质参数设置，如本地视频为电视剧XXX，适合柔光的风格，对本地视频进行第二画质参数设置时，将色调调整为柔光，此时，通过第二画质参数调整本地视频得到画质文件，画质文件包括电视机XXX的视频信息、亮度数据、上传时间及制作时间以及第二画质参数的数据等。
步骤S13，将所述画质文件上传至所述云端数据库。
在得到画质文件后，上传至云端数据库保存，以便于当判定当前视频为定制视频时，调取并导入画质文件中的第二画质参数，实现对当前视频的画质调整。
本实施例中，在获取所述电视播放的当前视频之前，获取本地视频；在接收到所述本地视频对应的第二画质参数的设置指令时，基于所述第二画质参数调整所述本地视频得到画质文件；将所述画质文件上传至所述云端数据库。画质工程师根据定制视频的风格类型，比如色彩柔和饱满，通过主观对比来进行画面的调整，具体的定制视频的风格类型设置过程如下：
首先对本地视频进行对应的第二画质参数设置，比如，本地视频为电视剧XXX，针对电视剧XXX的风格，调整其第二画质参数使得电视剧XXX的色调柔和后输出画质文件，且将画质文件上传至云端数据库，以供在判定当前视频为定制视频时，调取并导入画质文件的第二画质参数进行画质调整。
基于第二实施例，本申请还提出画质调整方法的第三实施例，如图5所示，步骤S30还包括：
步骤S301，获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息。
每个视频都有自身的视频信息，如名称、类别、制作时间等视频信息，并且，本地视频是通过第二画质参数调整后的定制视频，通过获取当前视频的第一视频信息及本地视频对应的第二视频信息，以便于后续第一视频信息与第二视频信息的比对，进而判断当前视频是否为定制视频。
步骤S302，判断所述第一视频信息是否与所述第二视频信息对应；
通过对比第一视频信息与第二视频信息，若第一视频信息，如其中的名称、类别与第二视频信息中的名称、类别一一对应，则可判定为定制视频；若第一视频信息与第二视频信息不对应，则判定为非定制视频，无需做任何处理。
步骤S303，若是，则判定所述当前视频为定制视频。
本实施例中，判断所述当前视频是否为定制视频具体为：获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；判断所述第一视频信息是否与所述第二视频信息对应；若是，则判定所述当前视频为定制视频。每个视频都有自身的视频信息，如名称、类别、制作时间等视频信息，当电视播放的当前视频的第一视频信息与本地视频的第二视频信息对应时，则判定当前视频为定制视频，此时，需要对当前视频进行定制化画质调整。比如，本地视频为电视剧XXX的第二视频信息，针对电视剧XXX的风格，调整其画质参数使得电视剧XXX的色调柔和后输出画质文件，且将画质文件上传至云端数据库，若当前视频的第一视频信息与第二视频信息对应时，则判定当前视频为定制视频，此时，调取且导入本地视频对应画质参数，通过画质参数将当前视频调整为色调柔和的视频。
进一步地，步骤S30包括：
连接云端数据库；
调用画质参数接口后，从所述云端数据库中导出所述画质文件的第二画质参数；
将所述第二画质参数作为第一画质参数导入所述电视。
本实施例中，云端数据库存储有画质文件，并且，画质文件包含了将本地视频调节为定制视频的第二画质参数，因此，当判定当前视频为定制视频时，连接云端数据库，调用画质参数接口后，从云端数据库中导出画质文件的第二画质参数，通过网络将第二画质参数作为第一画质参数导入电视的软件内，从而使得当前视频的画质参数自动设置，实现对当前视频的定制化画质调整。
进一步地，基于第一实施例，提出本申请画质调整方法的第四实施例，如图6所示，步骤S10包括：
步骤S101，在接收到播放指令时，查找电视台节目资料库；
用户根据自身需求，选择电视台频道，通过遥控器，给电视发送对应的播放指令，电视接收到播放指令时，会查找自身携带的电视台节目资料库。
步骤S102，播放所述电视台节目资料库中播放指令对应的电视台频道；
现有的电视台节目资料库存储有很多电视台频道，在接收到播放指令时，如接收到播放A频道的播放指令，查找电视台节目资料库，从而从电视台节目资料库中选取A频道，播放播放指令对应的A频道。
步骤S103，识别所述电视台频道的当前画面的电视台台标，且获取网络时间。
电视台频道都会固定于当前画面的左上角或者是右上角设置有电视台台标，当然，还有网络时间。电视台台标通过识别台标算法计算得出；用户在购买电视后，依据电视激活向导连接无线或有线网络，通过互联网上发布的一些公用网络时间服务器，就可以获取标准网络时间。
步骤S104，根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
本实施例中，获取电视播放的当前视频具体为：在接收到播放指令时，查找电视台节目资料库；播放所述电视台节目资料库中播放指令对应的电视台频道；识别所述电视台频道的当前画面的电视台台标，且获取网络时间；根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
根据电视台台标及网络时间获取所述电视播放的当前视频的第一视频信息，视频信息是指如名称、类别、制作时间等视频信息，第一视频信息即当前视频的视频信息，包括名称、类别等信息，如A电视台，晚八点至九点播出电视剧XXX，那么，根据A电视台的台标以及网络时间，如网络时间是八点十分，那么，此时当前视频的第一视频信息为电视剧XXX。
通过电视台台标和网络时间获取当前视频，从而得到当前视频对应的第一视频信息，再通过第一视频信息与本地视频的第二视频信息的对比，实现对当前视频是否为定制视频的判断。
进一步地，如图7所示，步骤S103包括：
步骤S1031，将所述当前画面划分为多个长方形区域；
步骤S1032，标记每个长方形区域在当前画面的位置坐标；
步骤S1033，通过本地端接收每个长方形区域的亮度数据及对应的位置信息，并判断每个长方形区域的亮度数据的稳定性；
步骤S1034，若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。
本实施例中，识别电视台频道的当前画面的电视台台标具体为：将所述当前画面划分为多个长方形区域，如划分为n*m个长方形区域，n、m的值尽可能大，长方形区域尽可能划分得多，使得识别更准确；标记每个长方形区域在当前画面的位置坐标，即标记每个长方形区域在当前画面的位置坐标（x1，y1），（x2，y1），（x1，y2），（x2，y2）……（xn，ym）；通过本地端接收每个长方形区域的亮度数据Y及对应的位置信息（x，y），由于电视台频道在播放的过程中，电视会实时显示不同的画面，由于电视台台标是不变的，因此，通过判断所有长方形区域中某些长方形区域的亮度数据是否保持不变，若某几个长方形区域的亮度数据Y一直保持不变，则能够判定到固定的画面内容，因此，通过判断每个长方形区域的亮度数据的稳定性能够判断出电视台台标；若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。预设时间可以是15秒、30秒或者是其它。
通过步骤S1031-1033，准确获取电视台台标的台标区域，再通过对多个长方形区域的位置坐标进行拟合，得出电视台台标的图案，从而实现电视台台标的准确获取。
进一步地，步骤S1034之后，所述画质调整的方法还包括：
步骤S1035，将所述第一长方形区域对应的位置坐标进行拟合，得到电视台台标。
第一长方形区域为保持亮度数据不变的多个长方形区域，通过对多个长方形区域的位置坐标进行拟合，得出电视台台标的图案。然后，再经过与云端数据库中台标图案的比对，得出具体的电视台台标名称。
进一步地，步骤S103还包括：
在所述电视的向导被激活后，连接网络时间服务器；
通过所述网络时间服务器获取网络时间。
本实施例中，获取网络时间具体为：用户首次购买电视后，会依据电视激活向导连接无线或有线网络，通过互联网上发布的一些公用网络时间服务器，就可以获取标准网络时间。
此外，本申请实施例还提出一种可读存储介质，所述计算机可读存储介质可以为非易失性可读存储介质。所述可读存储介质上存储有计算机可读指令，所述计算机可读指令被处理器执行时实现如上所述的画质调整方法的步骤。
本申请可读存储介质的具体实施例与上述画质调整方法的各个实施例基本相同，在此不做赘述。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在如上所述的一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台装置设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (20)

  1. 一种画质调整方法，其中，应用于电视，所述画质调整方法包括以下步骤：
    获取所述电视播放的当前视频；
    判断所述当前视频为定制视频，则从云端数据库调取并导入第一画质参数；
    基于所述第一画质参数调整所述当前视频。
  2. 如权利要求1所述的画质调整方法，其中，所述获取所述电视播放的当前视频的步骤之前，所述画质调整方法还包括：
    获取本地视频；
    接收到所述本地视频对应的第二画质参数的设置指令，基于所述第二画质参数调整所述本地视频得到画质文件；
    将所述画质文件上传至所述云端数据库。
  3. 如权利要求1所述的画质调整方法，其中，所述判断所述当前视频为定制视频的步骤包括：
    获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；
    判断所述第一视频信息与所述第二视频信息对应，则判定所述当前视频为定制视频。
  4. 如权利要求1所述的画质调整方法，其中，所述从云端数据库调取并导入第一画质参数的步骤还包括：
    连接云端数据库；
    调用画质参数接口，从所述云端数据库中导出所述画质文件的第二画质参数；
    将所述第二画质参数作为第一画质参数导入所述电视。
  5. 如权利要求1所述的画质调整方法，其中，所述获取所述电视播放的当前视频的步骤包括：
    接收到播放指令，查找电视台节目资料库；
    播放所述电视台节目资料库中播放指令对应的电视台频道；
    识别所述电视台频道的当前画面的电视台台标，且获取网络时间；
    根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
  6. 如权利要求5所述的画质调整方法，其中，所述识别所述电视台频道的当前画面的电视台台标的步骤包括：
    将所述当前画面划分为多个长方形区域；
    标记每个长方形区域在当前画面的位置坐标；
    通过本地端接收每个长方形区域的亮度数据及对应的位置信息，并判断每个长方形区域的亮度数据的稳定性；
    若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。
  7. 如权利要求6所述的画质调整方法，其中，所述判定所述第一长方形区域为台标区域的步骤之后，所述画质调整方法还包括：
    将所述第一长方形区域对应的位置坐标进行拟合，得到电视台台标。
  8. 如权利要求5所述的画质调整方法，其中，所述获取网络时间的步骤包括：
    所述电视的向导被激活，连接网络时间服务器；
    通过所述网络时间服务器获取网络时间。
  9. 一种电视，其中，所述电视包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机可读指令，所述计算机可读指令被所述处理器执行时实现如下步骤：
    获取所述电视播放的当前视频；
    判断所述当前视频为定制视频，则从云端数据库调取并导入第一画质参数；
    基于所述第一画质参数调整所述当前视频。
  10. 如权利要求9所述的电视，其中，所述获取所述电视播放的当前视频的步骤之前，还包括：
    获取本地视频；
    在接收到所述本地视频对应的第二画质参数的设置指令时，基于所述第二画质参数调整所述本地视频得到画质文件；
    将所述画质文件上传至所述云端数据库。
  11. 如权利要求9所述的电视，其中，所述判断所述当前视频为定制视频的步骤包括：
    获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；
    判断所述第一视频信息与所述第二视频信息对应，则判定所述当前视频为定制视频。
  12. 如权利要求9所述的电视，其中，所述从云端数据库调取并导入第一画质参数的步骤还包括：
    连接云端数据库；
    调用画质参数接口，从所述云端数据库中导出所述画质文件的第二画质参数；
    将所述第二画质参数作为第一画质参数导入所述电视。
  13. 如权利要求9所述的电视，其中，所述获取所述电视播放的当前视频的步骤包括：
    接收到播放指令，查找电视台节目资料库；
    播放所述电视台节目资料库中播放指令对应的电视台频道；
    识别所述电视台频道的当前画面的电视台台标，且获取网络时间；
    根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
  14. 如权利要求13所述的电视，其中，所述识别所述电视台频道的当前画面的电视台台标的步骤包括：
    将所述当前画面划分为多个长方形区域；
    标记每个长方形区域在当前画面的位置坐标；
    通过本地端接收每个长方形区域的亮度数据及对应的位置信息，并判断每个长方形区域的亮度数据的稳定性；
    若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。
  15. 一种可读存储介质，其中，所述可读存储介质上存储有计算机可读指令，所述计算机可读指令被处理器执行时实现如下步骤：
    获取所述电视播放的当前视频；
    判断所述当前视频为定制视频，则从云端数据库调取并导入第一画质参数；
    基于所述第一画质参数调整所述当前视频。
  16. 如权利要求15所述的可读存储介质，其中，所述获取所述电视播放的当前视频的步骤之前，还包括：
    获取本地视频；
    在接收到所述本地视频对应的第二画质参数的设置指令时，基于所述第二画质参数调整所述本地视频得到画质文件；
    将所述画质文件上传至所述云端数据库。
  17. 如权利要求15所述的可读存储介质，其中，所述判断所述当前视频为定制视频的步骤包括：
    获取所述当前视频对应的第一视频信息及所述本地视频对应的第二视频信息；
    判断所述第一视频信息与所述第二视频信息对应，则判定所述当前视频为定制视频。
  18. 如权利要求15所述的可读存储介质，其中，所述从云端数据库调取并导入第一画质参数的步骤还包括：
    连接云端数据库；
    调用画质参数接口，从所述云端数据库中导出所述画质文件的第二画质参数；
    将所述第二画质参数作为第一画质参数导入所述电视。
  19. 如权利要求15所述的可读存储介质，其中，所述获取所述电视播放的当前视频的步骤包括：
    接收到播放指令，查找电视台节目资料库；
    播放所述电视台节目资料库中播放指令对应的电视台频道；
    识别所述电视台频道的当前画面的电视台台标，且获取网络时间；
    根据所述电视台台标及网络时间获取所述当前视频的第一视频信息。
  20. 如权利要求19所述的可读存储介质，其中，所述识别所述电视台频道的当前画面的电视台台标的步骤包括：
    将所述当前画面划分为多个长方形区域；
    标记每个长方形区域在当前画面的位置坐标；
    通过本地端接收每个长方形区域的亮度数据及对应的位置信息，并判断每个长方形区域的亮度数据的稳定性；
    若第一长方形区域的亮度数据在预设时间范围内保持不变，则判定所述第一长方形区域为台标区域。
PCT/CN2019/128280 2018-12-26 2019-12-25 画质调整方法、电视及可读存储介质 Ceased WO2020135499A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811606880.1A CN109495781A (zh) 2018-12-26 2018-12-26 画质调整方法、电视及可读存储介质
CN201811606880.1 2018-12-26

Publications (1)

Publication Number Publication Date
WO2020135499A1 true WO2020135499A1 (zh) 2020-07-02

Family

ID=65712476

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/128280 Ceased WO2020135499A1 (zh) 2018-12-26 2019-12-25 画质调整方法、电视及可读存储介质

Country Status (2)

Country Link
CN (1) CN109495781A (zh)
WO (1) WO2020135499A1 (zh)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109495781A (zh) * 2018-12-26 2019-03-19 深圳Tcl新技术有限公司 画质调整方法、电视及可读存储介质
CN111163349B (zh) * 2020-02-20 2021-03-02 腾讯科技（深圳）有限公司 一种画质参数调校方法、装置、设备及可读存储介质
CN114489531B (zh) * 2020-10-27 2025-03-11 深圳Tcl新技术有限公司 一种显示画质优化方法、智能终端及存储介质
CN114286150B (zh) * 2020-11-12 2024-10-22 海信视像科技股份有限公司 一种显示设备、服务器及画质共享的方法
CN112637693B (zh) * 2020-12-14 2022-02-18 四川长虹电器股份有限公司 动态切换电视画质效果的系统、方法、设备及存储介质
CN112887759A (zh) * 2021-01-22 2021-06-01 Oppo广东移动通信有限公司 智能电视的信号处理方法、装置、智能电视以及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080016532A1 (en) * 2006-07-11 2008-01-17 Teco Electric & Machinery Co., Ltd. Method and system for adjusting audio/video effects
CN202602832U (zh) * 2012-05-10 2012-12-12 青岛海尔电子有限公司 识别电视机所播放节目的系统
CN104780466A (zh) * 2015-04-03 2015-07-15 天脉聚源(北京)传媒科技有限公司 一种电视显示亮度的调整方法及装置
CN105898364A (zh) * 2016-05-26 2016-08-24 北京小米移动软件有限公司 一种视频播放处理方法、装置、终端及系统
CN108712674A (zh) * 2018-05-17 2018-10-26 深圳创维－Rgb电子有限公司 视频播放控制方法、播放设备及存储介质
CN109495781A (zh) * 2018-12-26 2019-03-19 深圳Tcl新技术有限公司 画质调整方法、电视及可读存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080016532A1 (en) * 2006-07-11 2008-01-17 Teco Electric & Machinery Co., Ltd. Method and system for adjusting audio/video effects
CN202602832U (zh) * 2012-05-10 2012-12-12 青岛海尔电子有限公司 识别电视机所播放节目的系统
CN104780466A (zh) * 2015-04-03 2015-07-15 天脉聚源(北京)传媒科技有限公司 一种电视显示亮度的调整方法及装置
CN105898364A (zh) * 2016-05-26 2016-08-24 北京小米移动软件有限公司 一种视频播放处理方法、装置、终端及系统
CN108712674A (zh) * 2018-05-17 2018-10-26 深圳创维－Rgb电子有限公司 视频播放控制方法、播放设备及存储介质
CN109495781A (zh) * 2018-12-26 2019-03-19 深圳Tcl新技术有限公司 画质调整方法、电视及可读存储介质

Also Published As

Publication number Publication date
CN109495781A (zh) 2019-03-19

Similar Documents

Publication Publication Date Title
WO2020135499A1 (zh) 画质调整方法、电视及可读存储介质
JP7210127B2 (ja) コンテンツ提示管理のためのシステム及び方法
CN108810649A (zh) 画质调节方法、智能电视机及存储介质
US20140201122A1 (en) Electronic apparatus and method of controlling the same
US11431880B2 (en) Method and device for automatically adjusting synchronization of sound and picture of TV, and storage medium
US11507619B2 (en) Display apparatus with intelligent user interface
US20190354608A1 (en) Display apparatus with intelligent user interface
CN108712674A (zh) 视频播放控制方法、播放设备及存储介质
US20130305307A1 (en) Server, electronic apparatus, server control method and computer-readable medium
US20150312648A1 (en) Mobile device controlled dynamic room environment using a cast device
US20190354603A1 (en) Display apparatus with intelligent user interface
CN111479371A (zh) 灯光控制方法、电视机以及存储介质
CN107027053A (zh) 音频播放方法、终端及计算机可读存储介质
WO2017185584A1 (zh) 播放优化方法和装置
CN110572720A (zh) 电视机及其电视控制方法、控制装置和可读存储介质
US9918131B2 (en) Broadcast receiving device
CN111131883B (zh) 视频进度调整方法、电视和存储介质
CN112534828B (zh) 自动为每个媒体设置图片模式
WO2023125393A1 (zh) 用于控制智能家居设备的方法、装置及移动终端
JP7766044B2 (ja) コンテンツディスプレイに再生デバイスを適応させるシステム及び方法
CN113965700A (zh) 智能电视场景的自动调节方法及系统
CN104902338A (zh) 一种电视频道预览方法和装置
JP2023509805A5 (zh)
US11375283B2 (en) Configuring settings of a television
CN117560545A (zh) 图像参数的调节方法、装置、显示设备及存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19902813

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19902813

Country of ref document: EP

Kind code of ref document: A1