CN108470362A - A kind of method and apparatus for realizing video toning - Google Patents

Abstract

The invention discloses a kind of method, apparatus, electronic equipment and computer readable storage mediums for realizing video toning.This method includes：Obtain the configuration file of designated to be played；The picture material of the designated is described in configuration file；When playing designated, toning processing is carried out to the designated according to configuration file, to play toning treated video.By the technical program, toning processing is carried out to video, compares and does not carry out the video of toning processing, the color matching of toning treated video is distincter, plays the toning treated video, can reach customer satisfaction system effect, the broadcasting demand that user can more be met, enhances the usage experience of user.

Description

A method and device for realizing video color adjustment

technical field

The present invention relates to the field of computer technology, in particular to a method, device, electronic equipment and computer-readable storage medium for realizing video color adjustment.

Background technique

With the increasing functions of electronic devices, the function of playing video through electronic devices is becoming more and more perfect. For example, when playing a specified video or live broadcasting on the Internet, when users play the corresponding video, they often wonder what the effect of the video resource is. , when played on the client device side, what effect the video will show. However, it is unavoidable that the display effect of some videos is not ideal, especially in terms of color. When the video is saved in the video resource library of the server, the color saturation of the video itself is small, which makes the client device play the video Sometimes, the video display effect presented to the user will be blurred, which makes the user feel that the video is not clear, and cannot achieve the satisfactory effect of the user and cannot meet the needs of the user.

Contents of the invention

In view of the above problems, the present invention is proposed to provide a method, device, electronic device and computer-readable storage medium for realizing video color adjustment that overcome the above problems or at least partially solve the above problems.

According to one aspect of the present invention, a method for implementing video color adjustment is provided, wherein the method includes:

Obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video;

When the specified video is played, the specified video is toned according to the configuration file, so as to play the video after toning.

Optionally, performing color adjustment processing on the specified video according to the configuration file includes:

When it is described in the configuration file that the specified video includes scene image content and its start and end times, the saturation of red, green, and blue colors in the scene image content in the specified video is increased by a preset value.

Optionally, performing color adjustment processing on the specified video according to the configuration file includes:

When the configuration file describes that the specified video includes image content containing a human face and its start and end times, perform face beautification processing on the image content containing a human face in the specified video.

Optionally, performing color adjustment processing on the specified video according to the configuration file includes:

When the configuration file describes that the specified video is applicable to the general rule of video processing, the specified video is input into the general video grading processing model for grading processing.

Optionally,

When it is described in the configuration file that the specified video includes scene image content and its start and end time, the saturation of the red, green, and blue colors in the scene image content in the specified video is increased by a preset value; and When the configuration file describes that the specified video includes image content containing a human face and its start and end time, perform face beautification processing on the image content containing a human face in the specified video;

Then, the specified video is input into the general video color-grading processing model for color-grading processing.

Optionally, the method further includes:

Obtaining a certain number of videos that are determined to be color-graded and meet preset criteria;

These videos are input as training data into the color-grading processing machine learning model for training and learning to obtain the general-purpose video color-grading processing model.

Optionally, before performing color adjustment processing on the specified video according to the configuration file, the method further includes:

Detect the parameter information of the smart terminal;

According to the detected parameter information of the intelligent terminal, it is judged whether to perform color adjustment processing on the specified video;

If it is judged to be yes, then perform the step of performing color adjustment processing on the specified video according to the configuration file;

If the judgment is negative, the specified video will not be color-graded.

Optionally, the parameter information of the smart terminal includes one or more of the following:

time information;

display mode;

attitude information.

According to another aspect of the present invention, a device for implementing video color adjustment is provided, wherein the device includes:

The obtaining unit is adapted to obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video;

The grading processing unit is adapted to perform grading processing on the specified video according to the configuration file when playing the specified video, so as to play the grading-processed video.

Optionally,

The toning processing unit is adapted to, when it is described in the configuration file that the specified video includes scene-like image content and its start and end times, red, green, and blue colors in the scene-like image content in the specified video Saturation increases by a preset value.

Optionally,

The toning processing unit is adapted to perform face beautification processing on the image content containing a human face in the specified video when the configuration file describes that the specified video includes image content containing a human face and its start and end time.

Optionally,

The grading processing unit is adapted to input the specified video into a general video grading processing model to perform grading processing when the configuration file describes that the specified video is applicable to general video processing rules.

Optionally,

The toning processing unit is adapted to, when it is described in the configuration file that the specified video includes scene-like image content and its start and end times, red, green, and blue colors in the scene-like image content in the specified video The saturation of the specified video is increased by a preset value; and when the configuration file describes that the specified video includes image content containing a human face and its start and end time, face beautification processing is performed on the image content containing a human face in the specified video; then , and then input the specified video into the general video color-grading processing model for color-grading processing.

Optionally, the device further includes:

The training and learning unit is adapted to obtain a certain number of videos that are determined to be the results of the color adjustment processing that meet the preset standards; these videos are input as training data into the color adjustment processing machine learning model for training and learning, and the general video color adjustment is obtained. Handle the model.

Optionally, before the color adjustment processing unit performs color adjustment processing on the specified video according to the configuration file, the device further includes:

The parameter detection unit is suitable for detecting the parameter information of the intelligent terminal; according to the detected parameter information of the intelligent terminal, it is judged whether to perform color adjustment processing on the specified video; The step of performing color correction processing on the specified video; if the judgment is no, the specified video color processing will not be performed.

Optionally, the parameter information of the smart terminal includes one or more of the following:

time information;

display mode;

attitude information.

According to yet another aspect of the present invention, an electronic device is provided, wherein the electronic device includes:

Processor; and,

A memory arranged to store computer-executable instructions which, when executed, cause the processor to perform the method according to the foregoing.

According to still another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, the aforementioned Methods.

According to the technical solution of the present invention, the configuration file of the specified video to be played is obtained; the image content of the specified video is described in the configuration file; when the specified video is played, the specified video is toned according to the configuration file, so as to play the tuned video. Color processed video. Through this technical solution, the video is toned. Compared with the video without toning, the color of the video after toning is more vivid. Playing the video after toning can improve the color display effect of the video. To achieve the effect of user satisfaction, it can better meet the user's playback needs and enhance the user experience.

The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and understandable , the specific embodiments of the present invention are enumerated below.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiment. The drawings are only for the purpose of illustrating a preferred embodiment and are not to be considered as limiting the invention. Also throughout the drawings, the same reference numerals are used to designate the same parts. In the attached picture:

Fig. 1 shows a schematic flow diagram of a method for implementing video color adjustment according to an embodiment of the present invention;

FIG. 2 shows a schematic structural diagram of a device for implementing video color adjustment according to an embodiment of the present invention;

FIG. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention;

Fig. 4 shows a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

Fig. 1 shows a schematic flowchart of a method for implementing video color adjustment according to an embodiment of the present invention. As shown in Figure 1, the method includes:

Step S110, acquiring the configuration file of the specified video to be played; the configuration file describes the image content of the specified video.

In this embodiment, when the specified video is played, a request to play the specified video will be sent to the server. When the specified video is obtained, in order to implement the color adjustment process for the specified video, the configuration file of the specified video needs to be obtained. The configuration file here is provided by the server side to describe the image content of the specified video, for example, the video image scene (such as a video image scene containing a human face or a landscape video image scene) in the image content of the specified video, and The start time of this video image scene in the video.

Step S120, when playing the specified video, perform color adjustment processing on the specified video according to the configuration file, so as to play the color adjusted video.

In this embodiment, when playing a specified video, the color-grading process is first performed according to the configuration file, and then the color-graded video is played, that is, the video perceived by the user has been color-graded. When performing grading, the grading is performed according to the configuration file of the specified video. For example, based on the above example, the face video image scene in the image content of the specified video recorded in the configuration file and the starting point of the image content containing the human face According to the above description in the configuration file, the face in the specified video will be beautified and toned.

It can be seen that, through this embodiment, the video is toned, compared with the video without toning, the color of the video after toning is more vivid, and the video after toning is played to improve the color display effect of the video , can achieve the effect of user satisfaction, better meet the user's playback needs, and enhance the user experience.

In the above description, different video image scenes may be included in the specified video, and the image content including different video image scenes may be toned according to the preset color adjustment processing rules during the toning process. The preferred embodiments are described below.

In one embodiment of the present invention, the color-grading processing of the specified video according to the configuration file in step S120 includes: when the specified video is described in the configuration file as including scene-type image content and its start and end time, the specified video The saturation of the red, green, and blue colors in the scene image content in the image is increased by a preset value.

In this embodiment, the color adjustment is performed on the scene image content in the specified video. Specifically, when performing color adjustment on the scene image content, the saturation of the red, green, and blue colors in the image content is adjusted. Make adjustments.

For example, the scene image content in the specified video includes flowers, grass, and blue sky. According to the description of the configuration file, the start and end time of the scene image content is 10s-25s. When performing color adjustment, the If the saturation of red, green and blue in the image content of the 10s-25s of the video is increased by 20%, the colors of the flowers, grass and blue sky in the video will be brighter and the display effect of the video will be improved.

In one embodiment of the present invention, the color-grading processing of the specified video according to the configuration file in step S120 includes: when the configuration file describes that the specified video includes image content containing human faces and its start and end time, the specified video Face beautification processing is performed on the image content containing human faces.

In this embodiment, the color adjustment is performed on the image content including the human face in the specified video. Specifically, face beautification processing is performed on the face in the image content containing the face, such as beautification, skin smoothing, whitening, etc., or the face is processed by using the preset one-key beautification processing operation.

For example, if the scene image content in the specified video contains a human face, according to the description of the configuration file, the start and end time of the image content containing the human face is 0s-20s, then when performing color correction, the video’s first The face in the image content of 0s-20s is whitened, so that the display effect of the face in the video is better.

In the above-mentioned embodiment, the configuration file records the start and end time of the corresponding type of image content in the specified video, so that when the client performs color adjustment according to the configuration file, it can obtain the specific start and end time of color adjustment, preventing the The image content of the video image scene in the video is also adjusted accordingly, which affects the display effect of the video.

In one embodiment of the present invention, performing the grading processing on the specified video according to the configuration file in step S120 includes: when the configuration file describes that the specified video is applicable to video processing general rules, inputting the specified video into the general video grading Toning is done in the processing model.

The general video toning processing model in this embodiment can use the method of machine learning to use existing video images with a certain color design as training data to generate a corresponding general video toning processing model, and use the general video toning processing model The processing model grades video for which the general rules for grading processing apply to the profile description.

The video grading processing model here is delivered by the server on the client side, or it can be in the configuration file. Specifically, the machine learning method is used to use the existing video images with certain color designs as training data. A corresponding general video toning processing model is generated, and the general video toning processing model is used to perform toning processing on videos that are suitable for the general rules of toning processing. For example, select a number of movies whose color matching meets the requirements, learn their color matching methods, and generate a corresponding general video color correction processing model, then after the video is input into the general video color correction processing model, its color tone will also show the same color tone as the selected film .

The above-mentioned embodiment of color-grading the specified video according to the configuration file may be combined with real-time. That is to say, when processing a specified video, the image content can be color-graded according to the configuration file, or the video after color-grading processing can be input into the general video color-grading processing model for color-grading processing.

In one embodiment of the present invention, when it is described in the configuration file that the specified video includes scene image content and its start and end time, the saturation of the red, green and blue colors in the scene image content in the specified video increase the preset value; and when the configuration file describes that the specified video includes image content containing a human face and its start and end time, perform face beautification processing on the image content containing a human face in the specified video; then, the The specified video is input to the general video color-grading processing model for color-grading processing.

In this embodiment, the configuration file is a description of the image content of the entire specified video. The specified video may contain image content of scenery, and may also contain image content of human faces. Color correction is required.

It should be noted that the time of the image content containing scenery and the image content containing human face can overlap in the video, for example, the start and end time of the image content containing scenery is 10s-25s, The start and end time of the content is 0s-20s, that is to say, if the image content of the 10s-20s in the specified video contains both scenery and human faces, then the image content of the content in this time period will be processed immediately Face beautification is also performed in the toning process of scenery.

In this embodiment, after different types of toning processing are performed on the image content of the specified video according to the configuration file, the specified video after the toning processing is input into the general video toning processing model for re-grading processing. That is to say, performing secondary grading processing on the specified video can further improve the display effect of the specified video.

In one embodiment of the present invention, the method shown in FIG. 1 further includes: obtaining a certain number of videos determined to be the result of the toning process meeting the preset standard; and inputting these videos as training data to the machine learning model of the toning process Training and learning are carried out in , and a general video color correction processing model is obtained.

In the above description, it is pointed out that the general video color adjustment processing model can be delivered by the server side, can also be in the configuration file, and can also be generated by the client side. In this embodiment, the client acquires the general video color adjustment processing model. Specifically, using the method of machine learning, a certain number of videos that are determined to be the results of the color adjustment process meeting the preset standards are used as training data to generate a corresponding general video color adjustment processing model, and the general video color adjustment processing model is used Grades video that fits the general rules for grading. For example, select a certain number of movies whose color matching results meet the preset standards, learn their color matching methods, and generate a corresponding general video color color processing model, then after the video is input into the general video color color processing model, its color tone A color tone consistent with the selected movie will be rendered.

In one embodiment of the present invention, before performing color adjustment processing on the specified video according to the configuration file in step S120, the method shown in FIG. 1 further includes: detecting parameter information of the smart terminal; Parameter information, to judge whether to perform toning processing on the specified video; if it is judged to be yes, then perform the step of performing toning processing on the specified video according to the configuration file; if it is judged to be no, then not to perform toning processing on the specified video.

Although the specified video can be color-graded according to the configuration file to make the color of the specified video brighter, so as to improve the display effect of the specified video and meet the playback needs of users. But videos with bright colors are not suitable for all scenes, or some scenes are suitable for color grading, and some scenes are not suitable for grading. For example, the contrast of the smart terminal itself is high, or the user's current status is not suitable for watching videos with too much color saturation, or it is not suitable for watching videos with high contrast in darker scenes, etc. The video color correction process will be counterproductive, which will bring some troubles to the user and reduce the user experience; another example, when the user is moving at high speed or the contrast of the smart terminal itself is small, it needs to be adjusted.

In this embodiment, before color-grading the specified video, the parameter information of the smart terminal is obtained first, and it is judged whether it is suitable for color-grading the specified video. Suitable for toning situations.

Specifically, the above-mentioned parameter information of the smart terminal includes one or more of the following: time information; display mode; gesture information.

In this embodiment, the time information can reflect the current time period of the smart terminal, for example, during the day or at night. During the day, the memory color adjustment process for the specified video can improve its display effect, but if the color adjustment is performed at night Processing, when the user is viewing the specified video, due to the high saturation of the specified video, the user's eyes are uncomfortable and the user's experience is reduced. Therefore, in this embodiment, the judgment is made based on the time information of the smart terminal. For example, if the current system time of the smart terminal acquired is 9:30, it is judged that the specified video can be color-graded, and the video screen after the color-graded processing is played; if the current system time of the smart terminal acquired is 22:00, then It is judged that the specified video is not to be color-graded, and the original video is played.

In this embodiment, the display model can describe the current display effect of the smart terminal, for example, the contrast in the display mode, if the contrast is relatively large, and then the specified video is toned, the contrast of the specified video will be doubled, In the case of strong contrast, the display effect of the specified video will be distorted, which will affect the effect of the specified video. Therefore, in this embodiment, the display model of the smart terminal is acquired for judgment. For example, when the acquired contrast of the smart terminal is greater than the first preset value, it is judged that the specified video should not be color-graded; Specifies the video to be color-graded.

The display mode here may also be modes such as brightness, cold light, or warm light.

In this embodiment, the posture information of the smart terminal will directly reflect the posture of the user. If the user is in a lying posture, it means that the user may be resting. The user's eyes cause a certain amount of pressure, or increase the user's excitement, which is not conducive to the user's current resting state. Therefore, in this embodiment, it is judged by the posture information of the smart terminal whether to perform color-grading processing on the specified video. The attitude information of the smart terminal here can be acquired through an attitude sensor in the smart terminal, for example, a gyroscope, an accelerometer, and the like.

For example, if the sensor obtains that the current user is lying down, it can be judged that the specified video is not to be color-graded. Or, if the sensor obtains that the current user is moving at a high speed, it means that the user may be on a train or a car, and the video is prone to blur. If the state is changed, then it is judged to perform color adjustment processing on the specified video at this time.

Fig. 2 shows a schematic structural diagram of an apparatus for implementing video color adjustment according to an embodiment of the present invention. As shown in Figure 2, the video color adjustment processing device 200 includes:

The obtaining unit 210 is adapted to obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video.

In this embodiment, when the specified video is played, a request to play the specified video will be sent to the server. When the specified video is obtained, in order to implement the color adjustment process for the specified video, the configuration file of the specified video needs to be obtained. The configuration file here is provided by the server side to describe the image content of the specified video, for example, the video image scene (such as a video image scene containing a human face or a landscape video image scene) in the image content of the specified video, and The start time of this video image scene in the video.

The grading processing unit 220 is adapted to perform grading processing on the specified video according to the configuration file when playing the specified video, so as to play the grading-processed video.

In this embodiment, when playing a specified video, the color-grading process is first performed according to the configuration file, and then the color-graded video is played, that is, the video perceived by the user has been color-graded. When performing grading, the grading is performed according to the configuration file of the specified video. For example, based on the above example, the face video image scene in the image content of the specified video recorded in the configuration file and the starting point of the image content containing the human face According to the above description in the configuration file, the face in the specified video will be beautified and toned.

It can be seen that, through this embodiment, the video is toned, compared with the video without toning, the color of the video after toning is more vivid, and the video after toning is played to improve the color display effect of the video , can achieve the effect of user satisfaction, better meet the user's playback needs, and enhance the user experience.

In the above description, different video image scenes may be included in the specified video, and the image content including different video image scenes may be toned according to the preset color adjustment processing rules during the toning process. The preferred embodiments are described below.

In one embodiment of the present invention, the grading processing unit 220 is adapted to, when the configuration file describes that the specified video includes scene-type image content and its start and end time, red in the scene-type image content in the specified video , Green, and Blue saturation increases by the preset value.

In this embodiment, the color adjustment is performed on the scene image content in the specified video. Specifically, when performing color adjustment on the scene image content, the saturation of the red, green, and blue colors in the image content is adjusted. Make adjustments.

For example, the scene image content in the specified video includes flowers, grass, and blue sky. According to the description of the configuration file, the start and end time of the scene image content is 10s-25s. When performing color adjustment, the If the saturation of red, green and blue in the image content of the 10s-25s of the video is increased by 20%, the colors of the flowers, grass and blue sky in the video will be brighter and the display effect of the video will be improved.

In one embodiment of the present invention, the grading processing unit 220 is adapted to, when the configuration file describes that the specified video includes image content containing a human face and its start and end time, process the image content containing a human face in the specified video Facial beautification.

In this embodiment, the color adjustment is performed on the image content including the human face in the specified video. Specifically, face beautification processing is performed on the face in the image content containing the face, such as beautification, skin smoothing, whitening, etc., or the face is processed by using the preset one-key beautification processing operation.

For example, if the scene image content in the specified video contains a human face, according to the description of the configuration file, the start and end time of the image content containing the human face is 0s-20s, then when performing color correction, the video’s first The face in the image content of 0s-20s is whitened, so that the display effect of the face in the video is better.

In the above-mentioned embodiment, the configuration file records the start and end time of the corresponding type of image content in the specified video, so that when the client performs color adjustment according to the configuration file, it can obtain the specific start and end time of color adjustment, preventing the The image content of the video image scene in the video is also adjusted accordingly, which affects the display effect of the video.

In one embodiment of the present invention, the grading processing unit 220 is adapted to input the specified video into the general video grading processing model to perform grading processing when the configuration file describes that the specified video is applicable to general video processing rules.

The general video toning processing model in this embodiment can use the method of machine learning to use existing video images with a certain color design as training data to generate a corresponding general video toning processing model, and use the general video toning processing model The processing model grades video for which the general rules for grading processing apply to the profile description.

The video grading processing model here is delivered by the server on the client side, or it can be in the configuration file. Specifically, the machine learning method is used to use the existing video images with certain color designs as training data. A corresponding general video toning processing model is generated, and the general video toning processing model is used to perform toning processing on videos that are suitable for the general rules of toning processing. For example, select a number of movies whose color matching meets the requirements, learn their color matching methods, and generate a corresponding general video color correction processing model, then after the video is input into the general video color correction processing model, its color tone will also show the same color tone as the selected film .

The above-mentioned embodiment of color-grading the specified video according to the configuration file may be combined with real-time. That is to say, when processing a specified video, the image content can be color-graded according to the configuration file, or the video after color-grading processing can be input into the general video color-grading processing model for color-grading processing.

In one embodiment of the present invention, the grading processing unit 220 is adapted to, when the configuration file describes that the specified video includes scene-type image content and its start and end time, red in the scene-type image content in the specified video , green, and blue color saturation increases by preset values; and when the configuration file describes that the specified video includes image content containing human faces and its start and end time, perform face recognition on the image content containing human faces in the specified video beautification processing; and then, input the designated video into the general video color-grading processing model for color-grading processing.

In this embodiment, the configuration file is a description of the image content of the entire specified video. The specified video may contain image content of scenery, and may also contain image content of human faces. Color correction is required.

It should be noted that the time of the image content containing scenery and the image content containing human face can overlap in the video, for example, the start and end time of the image content containing scenery is 10s-25s, The start and end time of the content is 0s-20s, that is to say, if the image content of the 10s-20s in the specified video contains both scenery and human faces, then the image content of the content in this time period will be processed immediately Face beautification is also performed in the toning process of scenery.

In this embodiment, after different types of toning processing are performed on the image content of the specified video according to the configuration file, the specified video after the toning processing is input into the general video toning processing model for re-grading processing. That is to say, performing secondary grading processing on the specified video can further improve the display effect of the specified video.

In one embodiment of the present invention, the device shown in FIG. 2 further includes: a training and learning unit adapted to obtain a certain number of videos determined to be the results of the grading process meeting the preset standard; and inputting these videos as training data Toning processing machine learning model is trained and learned to obtain a general video toning processing model.

In the above description, it is pointed out that the general video color adjustment processing model can be delivered by the server side, can also be in the configuration file, and can also be generated by the client side. In this embodiment, the client acquires the general video color adjustment processing model. Specifically, using the method of machine learning, a certain number of videos that are determined to be the results of the color adjustment process meeting the preset standards are used as training data to generate a corresponding general video color adjustment processing model, and the general video color adjustment processing model is used Grades video that fits the general rules for grading. For example, select a certain number of movies whose color matching results meet the preset standards, learn their color matching methods, and generate a corresponding general video color color processing model, then after the video is input into the general video color color processing model, its color tone A color tone consistent with the selected movie will be rendered.

In an embodiment of the present invention, before the toning processing unit 220 performs toning processing on the specified video according to the configuration file, the device shown in FIG. 2 further includes: a parameter detection unit, adapted to detect parameter information of the smart terminal; According to the detected parameter information of the intelligent terminal, it is judged whether to perform color adjustment processing on the specified video; Specifies the video to be color-graded.

Although the specified video can be color-graded according to the configuration file to make the color of the specified video brighter, so as to improve the display effect of the specified video and meet the playback needs of users. But videos with bright colors are not suitable for all scenes, or some scenes are suitable for color grading, and some scenes are not suitable for grading. For example, the contrast of the smart terminal itself is high, or the user's current status is not suitable for watching videos with too much color saturation, or it is not suitable for watching videos with high contrast in darker scenes, etc. The video color correction process will be counterproductive, which will bring some troubles to the user and reduce the user experience; another example, when the user is moving at high speed or the contrast of the smart terminal itself is small, it needs to be adjusted.

In this embodiment, before color-grading the specified video, the parameter information of the smart terminal is obtained first, and it is judged whether it is suitable for color-grading the specified video. Suitable for toning situations.

Specifically, the above-mentioned parameter information of the smart terminal includes one or more of the following: time information; display mode; gesture information.

In this embodiment, the time information can reflect the current time period of the smart terminal, for example, during the day or at night. During the day, the memory color adjustment process for the specified video can improve its display effect, but if the color adjustment is performed at night Processing, when the user is viewing the specified video, due to the high saturation of the specified video, the user's eyes are uncomfortable and the user's experience is reduced. Therefore, in this embodiment, the judgment is made based on the time information of the smart terminal. For example, if the current system time of the smart terminal acquired is 9:30, it is judged that the specified video can be color-graded, and the video screen after the color-graded processing is played; if the current system time of the smart terminal acquired is 22:00, then It is judged that the specified video is not to be color-graded, and the original video is played.

In this embodiment, the display model can describe the current display effect of the smart terminal, for example, the contrast in the display mode, if the contrast is relatively large, and then the specified video is toned, the contrast of the specified video will be doubled, In the case of strong contrast, the display effect of the specified video will be distorted, which will affect the effect of the specified video. Therefore, in this embodiment, the display model of the smart terminal is acquired for judgment. For example, when the acquired contrast of the smart terminal is greater than the first preset value, it is judged that the specified video should not be color-graded; Specifies the video to be color-graded.

The display mode here may also be modes such as brightness, cold light, or warm light.

In this embodiment, the posture information of the smart terminal will directly reflect the posture of the user. If the user is in a lying posture, it means that the user may be resting. The user's eyes cause a certain amount of pressure, or increase the user's excitement, which is not conducive to the user's current resting state. Therefore, in this embodiment, it is judged by the posture information of the smart terminal whether to perform color-grading processing on the specified video. The attitude information of the smart terminal here can be acquired through an attitude sensor in the smart terminal, for example, a gyroscope, an accelerometer, and the like.

For example, if the sensor obtains that the current user is lying down, it can be judged that the specified video is not to be color-graded. Or, if the sensor obtains that the current user is moving at a high speed, it means that the user may be on a train or a car, and the video is prone to blur. If the state is changed, then it is judged to perform color adjustment processing on the specified video at this time.

The present invention also provides an electronic device, wherein the electronic device includes:

A processor; and a memory arranged to store computer-executable instructions, which, when executed, cause the processor to execute the method for realizing video color adjustment according to the method shown in FIG. 1 and its various embodiments

Fig. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in Figure 3, the electronic device 300 includes:

a processor 310; and a memory 320 arranged to store computer-executable instructions (program code), in the memory 320 there is a memory space 330 for storing a program code, the program code 330 for carrying out the steps of the method according to the invention is stored in In the storage space 330, when the program code is executed, the processor 310 executes the method for realizing video color adjustment according to the method shown in FIG. 1 and its various embodiments.

Fig. 4 shows a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention. As shown in Figure 4, the computer-readable storage medium 400 stores one or more programs (program codes) 410, and when the one or more programs (program codes) 410 are executed by the processor, they are used to perform the Method steps, that is, the method for realizing video color adjustment as shown in FIG. 1 and in various embodiments thereof.

It should be noted that the embodiments of the electronic device shown in FIG. 3 and the computer-readable storage medium shown in FIG. 4 are the same as the embodiments of the method shown in FIG. 1 , which have been described in detail above, and here No longer.

In summary, according to the technical solution of the present invention, the configuration file of the specified video to be played is obtained; the image content of the specified video is described in the configuration file; when the specified video is played, the specified video is toned according to the configuration file processing to play the color-graded video. Through this technical solution, the video is toned. Compared with the video without toning, the color of the video after toning is more vivid. Playing the video after toning can improve the color display effect of the video. To achieve the effect of user satisfaction, it can better meet the user's playback needs and enhance the user experience.

It should be noted:

The algorithms and displays presented herein are not inherently related to any particular computer, virtual appliance, or other device. Various general purpose devices can also be used with the teachings based on this. The structure required to construct such an apparatus will be apparent from the foregoing description. Furthermore, the present invention is not specific to any particular programming language. It should be understood that various programming languages can be used to implement the content of the present invention described herein, and the above description of specific languages is for disclosing the best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, in order to streamline this disclosure and to facilitate an understanding of one or more of the various inventive aspects, various features of the invention are sometimes grouped together in a single embodiment, figure, or its description. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some of the devices, electronic devices and computer-readable storage media for video color adjustment according to the embodiments of the present invention. Or some or all of the functions of all components. The present invention can also be implemented as an apparatus or an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program for realizing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

For example, FIG. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device 300 conventionally comprises a processor 310 and a memory 320 arranged to store computer-executable instructions (program code). Memory 320 may be electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM. The memory 320 has a storage space 330 for storing program code 340 for executing any method steps shown in FIG. 1 and in various embodiments. For example, the storage space 330 for program codes may include respective program codes 340 for respectively implementing various steps in the above methods. These program codes can be read from or written into one or more computer program products. These computer program products comprise program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. Such a computer program product is typically, for example, the computer-readable storage medium 400 as described in FIG. 4 . The computer-readable storage medium 400 may have storage segments, storage spaces, etc. arranged similarly to the memory 320 in the electronic device of FIG. 3 . The program code can eg be compressed in a suitable form. Typically, the memory unit stores program code 410 for performing the steps of the method according to the invention, i.e. program code readable by a processor such as 310, which when executed by the electronic device causes the electronic device to perform steps in the method described above.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

The invention discloses A1, a method for realizing video color adjustment, wherein the method includes:

Obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video;

When the specified video is played, the specified video is toned according to the configuration file, so as to play the video after toning.

A2, the method as described in A1, wherein, according to described configuration file, carrying out color adjustment processing to this specified video comprises:

When it is described in the configuration file that the specified video includes scene image content and its start and end times, the saturation of red, green, and blue colors in the scene image content in the specified video is increased by a preset value.

A3, the method as described in A1, wherein, according to described configuration file, carrying out toning processing to this designated video comprises:

When the configuration file describes that the specified video includes image content containing a human face and its start and end times, perform face beautification processing on the image content containing a human face in the specified video.

A4, the method as described in A1, wherein, according to described configuration file, carrying out toning processing to this appointed video comprises:

When the configuration file describes that the specified video is applicable to the general rule of video processing, the specified video is input into the general video grading processing model for grading processing.

A5. The method as described in A1, wherein,

When it is described in the configuration file that the specified video includes scene image content and its start and end time, the saturation of the red, green, and blue colors in the scene image content in the specified video is increased by a preset value; and When the configuration file describes that the specified video includes image content containing a human face and its start and end time, perform face beautification processing on the image content containing a human face in the specified video;

Then, the specified video is input into the general video color-grading processing model for color-grading processing.

A6. The method as described in A4 or A5, wherein the method further comprises:

Obtaining a certain number of videos that are determined to be color-graded and meet preset criteria;

These videos are input as training data into the color-grading processing machine learning model for training and learning to obtain the general-purpose video color-grading processing model.

A7. The method as described in A1, wherein, before the specified video is toned according to the configuration file, the method further includes:

Detect the parameter information of the smart terminal;

According to the detected parameter information of the intelligent terminal, it is judged whether to perform color adjustment processing on the specified video;

If it is judged to be yes, then perform the step of performing color adjustment processing on the specified video according to the configuration file;

If the judgment is negative, the specified video will not be color-graded.

A8. The method according to A7, wherein the parameter information of the smart terminal includes one or more of the following:

time information;

display mode;

attitude information.

The present invention also discloses B9, a device for realizing video color adjustment, wherein the device includes:

The obtaining unit is adapted to obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video;

The grading processing unit is adapted to perform grading processing on the specified video according to the configuration file when playing the specified video, so as to play the grading-processed video.

B10. The device of B9, wherein,

The toning processing unit is adapted to, when it is described in the configuration file that the specified video includes scene-like image content and its start and end times, red, green, and blue colors in the scene-like image content in the specified video Saturation increases by a preset value.

B11. The device according to B9, wherein,

The toning processing unit is adapted to perform face beautification processing on the image content containing a human face in the specified video when the configuration file describes that the specified video includes image content containing a human face and its start and end time.

B12. The device of B9, wherein,

The grading processing unit is adapted to input the specified video into a general video grading processing model to perform grading processing when the configuration file describes that the specified video is applicable to general video processing rules.

B13. The device of B9, wherein,

The toning processing unit is adapted to, when it is described in the configuration file that the specified video includes scene-like image content and its start and end times, red, green, and blue colors in the scene-like image content in the specified video The saturation of the specified video is increased by a preset value; and when the configuration file describes that the specified video includes image content containing a human face and its start and end time, face beautification processing is performed on the image content containing a human face in the specified video; then , and then input the specified video into the general video color-grading processing model for color-grading processing.

B14. The device as described in B12 or B13, wherein the device further comprises:

The training and learning unit is adapted to obtain a certain number of videos that are determined to be the results of the color adjustment processing that meet the preset standards; these videos are input as training data into the color adjustment processing machine learning model for training and learning, and the general video color adjustment is obtained. Handle the model.

B15. The device as described in B9, wherein, before the toning processing unit performs toning processing on the specified video according to the configuration file, the device further includes:

The parameter detection unit is suitable for detecting the parameter information of the intelligent terminal; according to the detected parameter information of the intelligent terminal, it is judged whether to perform color adjustment processing on the specified video; The step of performing color correction processing on the specified video; if the judgment is no, the specified video color processing will not be performed.

B16. The device as described in B15, wherein the parameter information of the smart terminal includes one or more of the following:

time information;

display mode;

attitude information.

The present invention also discloses C17, an electronic device, wherein the electronic device includes:

Processor; and,

A memory arranged to store computer-executable instructions which, when executed, cause the processor to perform the method according to any one of A1 to A8.

The present invention also discloses D18, a computer-readable storage medium, wherein, the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by the processor, the steps in A1-A8 are realized. any one of the methods described.

Claims (10)

1. A method for realizing video color correction, wherein the method comprises: Obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video; When the specified video is played, the specified video is toned according to the configuration file, so as to play the video after toning. 2. The method according to claim 1, wherein, performing color adjustment processing on the specified video according to the configuration file comprises: When it is described in the configuration file that the specified video includes scene image content and its start and end times, the saturation of red, green, and blue colors in the scene image content in the specified video is increased by a preset value. 3. The method according to claim 1, wherein, performing color adjustment processing on the specified video according to the configuration file comprises: When the configuration file describes that the specified video includes image content containing a human face and its start and end times, perform face beautification processing on the image content containing a human face in the specified video. 4. The method according to claim 1, wherein, performing color adjustment processing on the specified video according to the configuration file comprises: When the configuration file describes that the specified video is applicable to the general rule of video processing, the specified video is input into the general video grading processing model for grading processing. 5. The method of claim 1, wherein, When it is described in the configuration file that the specified video includes scene image content and its start and end time, the saturation of the red, green, and blue colors in the scene image content in the specified video is increased by a preset value; and When the configuration file describes that the specified video includes image content containing a human face and its start and end time, perform face beautification processing on the image content containing a human face in the specified video; Then, the specified video is input into the general video color-grading processing model for color-grading processing. 6. The method of claim 4 or 5, wherein the method further comprises: Obtaining a certain number of videos that are determined to be color-graded and meet preset criteria; These videos are input as training data into the color-grading processing machine learning model for training and learning to obtain the general-purpose video color-grading processing model. 7. The method according to claim 1, wherein, before the specified video is toned according to the configuration file, the method further comprises: Detect the parameter information of the smart terminal; According to the detected parameter information of the intelligent terminal, it is judged whether to perform color adjustment processing on the specified video; If it is judged to be yes, then perform the step of performing color adjustment processing on the specified video according to the configuration file; If the judgment is negative, the specified video will not be color-graded. 8. A device for realizing video color adjustment, wherein the device comprises: The obtaining unit is adapted to obtain the configuration file of the specified video to be played; the configuration file describes the image content of the specified video; The grading processing unit is adapted to perform grading processing on the specified video according to the configuration file when playing the specified video, so as to play the grading-processed video. 9. An electronic device, wherein the electronic device comprises: Processor; and, A memory arranged to store computer-executable instructions which, when executed, cause the processor to perform a method according to any one of claims 1-7. 10. A computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, any one of claims 1-7 is implemented the method described.