CN107948627B - Video broadcasting method, calculates equipment and storage medium at device - Google Patents
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
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- H—ELECTRICITY
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- H04N9/00—Details of colour television systems
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- H04N9/68—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/74—Circuits for processing colour signals for obtaining special effects
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Abstract
This application discloses video broadcasting method, device, calculate equipment and storage medium.Wherein, video broadcasting method comprises determining that the type of colour anomaly, wherein the type of colour anomaly corresponds to one or more color adaptation strategies；When getting a picture frame to be played, color adaptation is carried out to described image frame using one or more of color adaptation strategies, to improve the visual recognition degree in the corresponding region of one or more colors in described image frame；Play the picture frame Jing Guo the color adaptation.
Description
Technical Field
The present application relates to the field of image processing, and in particular, to a video playing method and apparatus, a computing device, and a storage medium.
Background
Color vision disorder (also referred to as "color vision recognition disorder") refers to a defect that some or all of the color regions cannot be correctly perceived. Color vision abnormalities include color blindness and color weakness. Among them, color blindness mainly includes red blindness, green blindness and blue blindness. In real life, color vision anomaly usually appears as the inability to recognize a scene with complex colors. For example, green blindness cannot distinguish players wearing red shirts from grass in a soccer match scene.
Disclosure of Invention
The application provides a video playing method, a video playing device, a computing device and a storage medium, which are used for solving the technical problem of how to improve the performance of video playing equipment for users with abnormal color vision.
According to an aspect of the present application, a video playing method is provided, including: determining a type of color vision anomaly, the type of color vision anomaly corresponding to one or more color adjustment strategies; when an image frame to be played is acquired, color adjustment is carried out on the image frame by adopting the one or more color adjustment strategies so as to improve the visual identification degree of a region corresponding to one or more colors in the image frame; and playing the image frame subjected to the color adjustment.
In some embodiments, said color adjusting said image frame using said one or more color adjustment strategies comprises: changing a predetermined color corresponding to the adopted color adjustment strategy in the image frame to adjust the color value difference of each area in the area corresponding to the predetermined color and the adjacent area of the area, wherein the color value difference comprises at least one of brightness difference, chroma difference and saturation difference, and the adjacent area of the area comprises at least one part of the area adjacent to the area in the image frame.
In some embodiments, the changing a predetermined color in the image frame corresponding to the employed color adjustment strategy comprises: and for each pixel point in the obtained image frame, carrying out color change on the pixel point according to the adopted color adjustment strategy.
In some embodiments, the changing a predetermined color in the image frame corresponding to the employed color adjustment strategy further comprises: calculating the distance between each pixel point in the image frame and each pixel point in a neighborhood after the color is changed, wherein the neighborhood comprises a preset region which takes the pixel point as the center and does not contain the pixel point; for each pixel point in the image frame, calculating the reciprocal sum of the non-zero distance between the pixel point and the pixel point in the corresponding neighborhood in the color space; and adjusting the color value of the pixel point after the color change according to the reciprocal to enhance the visual difference between the edge of each area in the area corresponding to the preset color and the adjacent area of the area.
In some embodiments, the determining the type of color vision anomaly comprises: providing a user interface presenting at least two types of options in response to the operation of setting the color vision anomaly type, wherein each type of option corresponds to one color vision anomaly type; and responding to the selection operation of any type of option in the user interface, and determining the type of the color vision anomaly corresponding to the selected type of option.
In some embodiments, the video playing method according to the present application further includes: before the color change is performed, a value of a color adjustment parameter corresponding to the adopted color adjustment strategy is determined.
In some embodiments, the determining a value of a color adjustment parameter corresponding to the adopted color adjustment policy includes: providing a user interface presenting at least one configuration control, each configuration control corresponding to a color adjustment parameter; and responding to the operation of any configuration control in the user interface, and determining the value of the color adjustment parameter corresponding to the configuration control.
In some embodiments, the determining the type of color vision anomaly comprises: in response to an operation indicating a test color vision anomaly type, providing a user interface presenting at least one color vision inspection chart; and determining the type of the color vision anomaly corresponding to the obtained recognition result of the at least one color vision inspection chart.
In some embodiments, when the determined type of color vision anomaly is achromatopsia, for each pixel point in the obtained image frame, performing color adjustment on the pixel point according to the following formula:
wherein, I(x,y)Representing the color value of a pixel point with coordinates (x, y) in a long, medium and short color space, alpha representing a color adjusting parameter, gamma (I)(x,y)) Representing a color value of the pixel after the color change.
In some embodiments, the operations of calculating, for each pixel point in the image frame, a sum of reciprocals of non-zero distances between the pixel point and the pixel point in the corresponding neighborhood in color space, and adjusting a color value of the pixel point after the color change according to the sum of reciprocals are performed according to the following formula:
wherein, I(x,y)Color value representing a pixel point with coordinates (x, y), Γ (I)(x,y)) Representing the color value of the pixel point after being changed based on the color, xi representing a balance factor, N (x, y) representing the neighborhood space of the pixel point (x, y), I(p,q)A color value representing a neighborhood pixel point with coordinates (p, q) in a neighborhood of the pixel point, | Γ (I)(x,y))-I(p,q)L represents the distance of the pixel point (x, y) and the neighborhood pixel point (p, q) in the color space after the color change,represents the reciprocal sum, I'(x,y)A color value representing the pixel point (x, y) after an adjustment based on the sum of reciprocals.
According to another aspect of the present application, a video playing apparatus is provided, including: a type determination unit for determining a type of color vision abnormality; the type of color vision disorder corresponds to at least one predetermined color; the color adjusting unit is used for adjusting the color of an image frame to be played by adopting the one or more color adjusting strategies when the image frame is obtained so as to improve the visual identification degree of a region corresponding to one or more colors in the image frame; the playing unit is used for playing the image frames subjected to color adjustment.
In some embodiments, the color adjustment unit color adjusts the image frame using the one or more color adjustment strategies according to: changing a predetermined color corresponding to the adopted color adjustment strategy in the image frame to adjust the color value difference of each of the areas corresponding to the predetermined color and the adjacent area of the area, wherein the color value difference comprises at least one of a brightness difference, a chroma difference and a saturation difference, and the adjacent area of the area comprises at least one part of the area adjacent to the area in the image frame.
In some embodiments, the color adjustment unit changes the predetermined color in the image frame corresponding to the employed color adjustment strategy according to: and for each pixel point in the obtained image frame, carrying out color change on the pixel point according to the adopted color adjustment strategy.
In some embodiments, the color adjustment unit changes a predetermined color in the image frame corresponding to the employed color adjustment strategy, further performing the following: calculating the distance between each pixel point in the image frame and each pixel point in a neighborhood after the color is changed, wherein the neighborhood comprises a preset region which takes the pixel point as the center and does not contain the pixel point; for each pixel point in the image frame, calculating the reciprocal sum of the non-zero distance between the pixel point and the pixel point in the corresponding neighborhood in the color space; and adjusting the color value of the pixel point after the color change according to the reciprocal to enhance the visual difference between the edge of each area in the area corresponding to the preset color and the adjacent area of the area.
In some embodiments, the type determination unit determines the type of color vision anomaly according to: providing a user interface presenting at least two types of options in response to the operation of setting the color vision anomaly type, wherein each type of option corresponds to one color vision anomaly type; and responding to the selection operation of any type of option in the user interface, and determining the type of the color vision anomaly corresponding to the selected type of option.
In some embodiments, the color adjustment unit is further configured to: before the color change is performed, a value of a color adjustment parameter corresponding to the adopted color adjustment strategy is determined.
In some embodiments, the color adjustment unit determines the value of the color adjustment parameter corresponding to the adopted color adjustment policy according to the following manner: providing a user interface presenting at least one configuration control, each configuration control corresponding to a color adjustment parameter; and responding to the operation of any configuration control in the user interface, and determining the value of the color adjustment parameter corresponding to the configuration control.
In some embodiments, the type determination unit determines the type of color vision anomaly according to: in response to an operation indicating a test color vision anomaly type, providing a user interface presenting at least one color vision inspection chart; and determining the type of the color vision anomaly corresponding to the obtained recognition result of the at least one color vision inspection chart.
In some embodiments, when the determined type of color vision anomaly is achromatopsia, for each pixel point in the obtained image frame, the color adjustment unit performs color adjustment on the pixel point according to the following formula:
wherein, I(x,y)Representing the color value of a pixel point with coordinates (x, y) in a long, medium and short color space, alpha representing a color adjusting parameter, gamma (I)(x,y)) Representing a color value of the pixel after the color change.
In some embodiments, the color adjustment unit performs, for each pixel point in the image frame, the operations of calculating a reciprocal sum of a non-zero distance between the pixel point and a pixel point in a corresponding neighborhood in the color space, and adjusting a color value of the pixel point after the color change according to the reciprocal sum:
wherein, I(x,y)Color value representing a pixel point with coordinates (x, y), Γ (I)(x,y)) Representing the color value of the pixel point after being changed based on the color, xi representing a balance factor, N (x, y) representing the neighborhood space of the pixel point (x, y), I(p,q)A color value representing a neighborhood pixel point with coordinates (p, q) in a neighborhood of the pixel point, | Γ (I)(x,y))-I(p,q)L represents the distance of the pixel point (x, y) and the neighborhood pixel point (p, q) in the color space after the color change,represents the aboveReciprocal and, I'(x,y)A color value representing the pixel point (x, y) after an adjustment based on the sum of reciprocals.
In some embodiments, the color adjustment unit color adjusts the image frame using the one or more color adjustment strategies according to: providing a user interface presenting at least two policy options in response to an operation of setting a color adjustment policy, each policy option corresponding to a color adjustment policy; and responding to the selection operation of any strategy option in the user interface, and performing the color adjustment by adopting a color adjustment strategy corresponding to the selected strategy option.
According to yet another aspect of the present application, there is provided a computing device comprising: one or more processors, memory, and one or more programs. A program is stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing the video playback method of the present application.
According to still another aspect of the present application, there is provided a storage medium storing one or more programs. The one or more programs include instructions. The instructions, when executed by a computing device, cause the computing device to perform the video playback method of the present application.
In conclusion, the scheme of the application can adjust the color of the image frame to be played based on the color vision anomaly type of the user so as to improve the visual identification degree of the area corresponding to one or more preset colors in the image frame for the user, thereby improving the video playing effect, improving the user experience, providing a new playing function for the user with the color vision anomaly and improving the performance of the playing device.
Drawings
In order to more clearly illustrate the technical solutions in the examples of the present application, the drawings needed to be used in the description of the examples are briefly introduced below, and it is obvious that the drawings in the following description are only some examples of the present application, and it is obvious for a person skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 illustrates a schematic diagram of an application scenario 100, in accordance with some embodiments of the present application;
FIG. 2 illustrates a schematic diagram of a video playback method 200 according to some embodiments of the present application;
FIG. 3A illustrates a user interface diagram for setting a color vision anomaly type according to an embodiment of the present application;
FIG. 3B illustrates a schematic user interface diagram for testing the color vision anomaly type according to one embodiment of the present application;
FIG. 3C illustrates a user interface for determining a color adjustment strategy according to one embodiment of the present application;
FIG. 3D shows a schematic diagram of a red, green, blue (RGB) color space model;
FIG. 3E illustrates a playback interface for an image frame;
FIG. 3F shows an enlarged schematic view of region F in FIG. 3E;
FIG. 4 illustrates a flow diagram of a method 400 of playing a video according to some embodiments of the present application;
FIG. 5 illustrates a user interface for determining color adjustment parameters according to one embodiment of the present application;
FIG. 6 illustrates a schematic diagram of a video playback device 600 according to some embodiments of the present application;
FIG. 7 illustrates a schematic diagram of a video playback device 700 according to some embodiments of the present application; and
FIG. 8 illustrates a block diagram of the components of a computing device.
Detailed Description
The technical solutions in the examples of the present application will be clearly and completely described below with reference to the drawings in the examples of the present application, and it is obvious that the described examples are only a part of the examples of the present application, and not all examples. All other examples, which can be obtained by a person skilled in the art without making any inventive step based on the examples in this application, are within the scope of protection of this application.
In a video playing scene, a user with abnormal color vision may not be able to recognize some objects in the playing picture. Here, the color vision abnormality mainly includes color blindness and color weakness. Types of color blindness include total color blindness, red blindness, green blindness, blue-yellow blindness, and the like. The types of weakness include full weakness, red weakness, green weakness, blue-yellow weakness, and the like. Taking the example of the total color blindness, the users of this type belong to the complete cone cell dysfunction, and have only light and shade to the perception of the playing picture, and cannot distinguish the color difference, and see that the red color is dark and the blue color is brighter. Users who are red blind cannot distinguish between red and dark green, blue, magenta and purple, with green generally being treated as yellow and purple as blue. The application provides a video playing method for adjusting the color of an image frame, so that a user with abnormal color vision can better identify different objects in a video playing picture. Fig. 1 illustrates a schematic diagram of an application scenario 100 according to some embodiments of the present application.
As shown in fig. 1, the application scenario 100 may include a video server 110 and a terminal device 120. The video server 110 may provide video content to the terminal device 120. Here, the video server 110 may be implemented as a server device, a server cluster, or a distributed application, which is not limited in this application. The terminal device 120 may be implemented as a computing device such as a mobile phone, a desktop computer, a laptop computer, a tablet computer, or a handheld game console, for example. The terminal device 120 may include a video player 121. The video player 121 may play video content from the video server 120 or stored locally. The video player 121 may be implemented as a standalone playing application or as a component of a multimedia application. The video playing method of the present application may be executed in the video player 121, but is not limited thereto.
Fig. 2 illustrates a flow diagram of a video playback method 200 according to some embodiments of the present application. The method 200 may be performed in the video player 121 or other application that may play video. The video player may reside, for example, in the terminal device 120.
The method 200 begins at step S201, where the type of color vision anomaly is determined. Here, the type of color vision disorder corresponds to one or more color adjustment strategies. Here, each color adjustment strategy may adjust one or more predetermined colors. Typically, each predetermined color is, for example, a color that is not distinguishable by a user of the color vision disorder. For example, the type of dyschromatopsia is achromatopsia. The predetermined colors corresponding to red blindness include red and dark green. Alternatively, the predetermined color may be a color that can be distinguished by a user with color dysopia so as to be distinguished from a color that cannot be distinguished by the user by adjusting the color.
According to an embodiment of the present application, in step S201, in response to the operation of setting the color vision anomaly type, a user interface is provided that presents at least two type options, each type option corresponding to a type of color vision anomaly. On the basis, in step S201, in response to a selection operation of any type of option in the user interface, the type of color vision anomaly corresponding to the selected type of option is determined. Fig. 3A illustrates a user interface diagram for setting a color vision anomaly type according to an embodiment of the present application. As shown in fig. 3A, option controls 301 to 308 each correspond to a type of color vision anomaly. When one of the option controls is selected and the "ok" button 309 is clicked, step S201 may set the color vision anomaly type to the type corresponding to the selected control. When the "cancel" button 310 is clicked, step S201 may close the user interface illustrated in fig. 3A. For example, control 301, which is shown as red blind in FIG. 3A, is selected. Accordingly, step S201 may determine that the type of color vision anomaly is haematochrome.
According to another embodiment of the present application, in step S201, in response to an operation indicating a test color vision anomaly type, a user interface presenting at least one color vision inspection chart is provided. On this basis, in step S201, in response to the acquired recognition result of the color vision inspection chart, the type of color vision anomaly corresponding to the recognition result is determined. FIG. 3B shows a schematic diagram of a user interface for testing the color vision anomaly type according to an embodiment of the application. Region a in fig. 3B includes an example of a plurality of color vision charts. The area B includes a plurality of input boxes to which recognition results are to be input. Each input box corresponds to a color vision inspection chart. The user may input the recognition result of the corresponding color vision inspection chart in each input box, for example: a number (e.g., "69") or a pattern name (e.g., "rabbit") as viewed by the user from the corresponding color vision chart, and so on. When the user clicks the "ok" button 311, step S201 may determine whether the user has color vision abnormality and to which color vision abnormality (e.g., anerythrochloropsia) belongs, based on the recognition result input in each input box. When the user clicks the "cancel" button 312, step S201 may close the user interface shown in fig. 3B. It should be noted that the color vision inspection chart is a color image in a practical application scene, although it is displayed as a grayscale chart in fig. 3B.
According to another embodiment of the present application, when the user logs in to execute the application of the method 200 through the account, in step S201, the video player 121 may obtain the type of color vision anomaly related to the user login account from a local or external device. For example, in step S201, the type of color vision anomaly related to the current user login account may be acquired from the cloud. The cloud user login management server can store the mapping relation between the login account and the type of the color vision anomaly.
The method 200 may further perform step S202, and when an image frame to be played is obtained, perform color adjustment on the image frame by using one or more color adjustment strategies corresponding to the color anomaly type determined in step S201, so as to improve the visual identification of the region corresponding to one or more colors in the image frame. Here, the image frames to be played are, for example, from locally stored video content. For another example, the image frames to be played come from the video server 110, which is not limited in this application. The color adjustment policy employed may be one of one or more color adjustment policies corresponding to the color vision anomaly type determined in step S201. The region corresponding to each color may include one or more regions depending on the color distribution of the image frame. The visual identification of each region may be used to indicate how easily it is for a user to identify the region (i.e., the view object to which the region corresponds) from the image frame. In one embodiment, the visual identity of each region may be expressed as a visual difference between the region and the adjacent region. On this basis, the method 200 may perform step S203 to play the color-adjusted image frame.
In some examples, different color adjustment strategies may be used to adjust different color parameters in an image frame. Such as: for an image frame using a red-green-blue (RGB) color space model, each pixel corresponds to an RGB value, which includes a red parameter value, a green parameter value, and a blue parameter value, and the RGB value is a color parameter. In one embodiment, the color vision anomaly type is achromatopsia, the achromatopsia type can correspond to a plurality of color adjustment strategies, different color adjustment strategies can be used for adjusting the RGB values of the pixel points in different color areas, or the RGB values of the pixel points can be adjusted in different adjustment modes, and the like. For example, with color adjustment strategy 1, the red area in the image frame can be adjusted to magenta, and the green area can be adjusted to yellow-green; with color adjustment strategy 2, the red regions in the image frame can be adjusted to orange and the green regions to indigo. In a word, the color adjustment strategy corresponding to a certain color vision anomaly type is adopted, so that the colors of one or more areas in the image frame can be changed, the visual identification degree of the one or more areas can be improved for users of the color vision anomaly type, the defects of the users in color identification can be overcome, and the display effect of the video player is improved.
In one embodiment, step S202 may provide a user interface presenting at least two policy options in response to the operation of setting the color adjustment policy. Each strategy option corresponds to a color adjustment strategy. In response to the selection operation of any one of the policy options in the user interface, step S202 may perform color adjustment using the color adjustment policy corresponding to the selected policy option. For example, FIG. 3C illustrates a user interface for determining a color adjustment strategy according to one embodiment of the present application. As shown in fig. 3C, a plurality of option controls, such as option controls C, D and E, may be included in policy selection control 313. Each option control represents a color adjustment strategy. For example, when the user selects the option control C and clicks the "determine" control 314, step S202 may perform a color adjustment operation using the color adjustment strategy represented by C. When the user clicks the "cancel" control 315, step S202 may close the user interface shown in FIG. 3C.
In some embodiments, step S202 may change a predetermined color in the image frame corresponding to the adopted color adjustment strategy to adjust the color value difference of each of the regions corresponding to the predetermined color from the adjacent region of the region. Wherein the color value difference may include at least one of a luminance difference, a chrominance difference, and a saturation difference. The adjoining region of a region may include at least a portion of the region adjacent to the region in the image frame. The region corresponding to each predetermined color may include one or more regions that are not in communication with each other. Each region can be considered a view object. The color of each pixel point in one view object is the predetermined color. Generally, the color values of the pixels in the adjacent regions are the same or have small differences. For an area, its neighboring area can be considered as the background area of the area (the background area can wrap at least a part of the contour line of the area).
In some embodiments, for each pixel point in the image frame, step S202 may perform a color change on the pixel point through a color adjustment strategy. Here, depending on the adopted color space for representing color values, the attribute of the color value of each pixel point may include a parameter value of the pixel point in the color space. For example, in a red-green-blue (RGB) color space, the attributes of the color value of each pixel point include a red parameter value, a green parameter value, and a blue parameter value. For another example, in an HSL (hue: saturation: lightness) color space, the attribute of the color value of each pixel point includes a lightness parameter value, a chroma parameter value, and a saturation parameter value.
Taking the red blindness as an example, step S202 may use a color adjustment strategy related to the red blindness to perform color change on the pixel points in the image frame. For example, for each pixel point in the image frame, step S202 may change the color value of the pixel point according to the following formula:
wherein,I(x,y)and representing the color value of the pixel point with the coordinate (x, y) in a long-medium-short (LMS) color space. LMS is a color space represented by the response of three cone cells of the human eye, named for the responsivity (sensitivity) of long, medium and short wavelengths. α represents a color adjustment parameter, i.e., a parameter of the degree of adjustment of color. Gamma (I)(x,y)) And the color value of the pixel point (x, y) after color change is represented. Here, if the acquired image frame is not in the LMS color mode, step S202 needs to convert the image frame into the LMS color mode before the above formula is performed. For example, the color pattern of the acquired image frame is an RGB color pattern. Step S202 converts the image frame into the LMS color mode by the following formula.
Wherein, I0(x,y)And (3) representing the color value of the pixel point with the coordinate (x, y) in the RGB color space. I is(x,y)And (3) representing the color value of the pixel point with the coordinate (x, y) in the LMS color space.
In addition, for the red blind, the step S202 may also adopt other color adjustment strategies to perform color adjustment on the image frame, and the application does not limit what color adjustment strategy is specifically adopted. In some embodiments, step S202 may transform the region corresponding to each predetermined color into another color having a distinct visual difference from the color of the adjacent region by color adjustment. In still other embodiments, step S202 may further make the visual difference between the regions corresponding to different predetermined colors more obvious.
To visualize the color adjustment strategy of step S202, the following description is made with reference to fig. 3D. Fig. 3D shows a schematic diagram of a red, green, blue (RGB) color space model. Several typical colors are shown in fig. 3D, red R, green G, blue H and white W, respectively. In one embodiment, the color vision anomaly type is achromatopsia. In color toning an image frame, step S202 may adjust the red parameter value (i.e., the red component), the green parameter value, and the blue parameter value for one or more colors. Thus, step S202 may change one or more colors. For example, step S202 may adjust the red area to the magenta area and the green area to the yellow-green area. Thus, the magenta area and the yellow-green area can be more easily recognized by the user than the original colors. For another example, step S202 may adjust the red color region to a color region with higher brightness (e.g., an orange color region), and adjust the green color region to a color region with lower brightness (e.g., an indigo color region). In this way, the region where the color is changed can be made easier to recognize by changing the luminance in step S202. In yet another embodiment, the color vision anomaly type is blue-yellow blindness. In color toning one image frame, step S202 may adjust, for example, a blue area to a brighter color area (e.g., a light blue area) and a yellow area to a darker color area (e.g., a carrot color area). In this way, step S202 may allow the user to distinguish the original blue region from the yellow region. It should be noted that the color adjustment strategy in step S202 is not limited to adjustment in the RGB color space, and may also be adjusted in other suitable color spaces (e.g., LMS color space, etc.), which is not limited in this application.
In summary, by performing color adjustment on the image frame, the step S202 can make the object with the predetermined color in the image frame (i.e. the area corresponding to the predetermined color) more easily recognized by the user watching the video. To more visually illustrate the effect of color adjustment, an exemplary explanation is provided below in conjunction with fig. 3E.
Fig. 3E shows a playback interface for one image frame. The image frame of fig. 3E includes two regions, 316 and 317, respectively, for a predetermined color. Regions 316 and 317 are both red and the other regions in the image frame (i.e., the adjacent regions of regions 316 and 317) are green before the image frame is color adjusted. Thus, if an image frame without color adjustment is played, the red blind user cannot recognize the regions 316 and 317 from the picture. Through step S202, the method 200 may adjust the regions 316 and 317 in the image frame to blue (or other color that the user may distinguish from green). Thus, the user may recognize that the regions 316 and 317 are each a view object with respect to the human figure when viewing the image frame.
In still other embodiments, in order to change the color value of the region corresponding to the predetermined color, step S202 may further calculate the distance between each pixel point in the image frame and each pixel point in the neighborhood after the color change. The neighborhood includes a predetermined region centered on the pixel and not containing the pixel. For each pixel point in the image frame, step S202 may further calculate the reciprocal sum of the non-zero distance between the pixel point and the pixel point in the corresponding neighborhood in the color space. On the basis, step S202 may adjust the color value of the pixel point after color adjustment based on a color adjustment algorithm according to the reciprocal to enhance the visual difference between the edge of each region corresponding to the predetermined color and the adjacent region of the region. In one embodiment, step S202 may change the color value of the predetermined color corresponding region according to the following formula:
wherein, I(x,y)Representing the color value of a pixel with coordinates (x, y) before the color change, Γ (I)(x,y)) And the color value of the pixel point after color change is represented. ξ denotes the balance factor. N (x, y) represents the neighborhood space of the pixel point (x, y). I is(p,q)And expressing the color value of the neighborhood pixel point with the coordinate (p, q) in the neighborhood of the pixel point. L Γ (I)(x,y))-I(p,q)| represents the distance of the pixel (x, y) from the neighborhood pixel (p, q) in color space after the color change. Here, the type of the distance may be a mahalanobis distance, a euclidean distance, or any other distance suitable for representing a difference between pixel points in the color space.The reciprocal sum is indicated. I'(x,y)And expressing the color value after the color of the pixel point (x, y) is adjusted based on the reciprocal sum. Thus, by counting down and adjusting the color value of the pixel point, step S202 can enhance each color corresponding to the predetermined colorVisual differences of the edge of an area from the adjacent area of the area. For a more visual explanation, the process of adjusting the color value of the pixel point based on the reciprocal value is described below with reference to fig. 3E.
Fig. 3F shows an enlarged schematic view of region F in fig. 3E. In FIG. 3F, zone Z1Representing a portion of the area 316 corresponding to a predetermined color. Wherein, the pixel point P1In a region Z1At the edge of (a). Zone Z2Indicating a portion of the area not corresponding to the predetermined color. In other words, region F includes a region that includes a portion of the edge of region 316 (i.e., region Z)1) And also includes a border region (i.e., region Z) that is outside of a portion of the contour edge in region 3162). Zone Z3Representing a pixel point P1Of the neighborhood of (c). Zone Z3Including with respect to pixel point P18 neighborhood pixels. As shown in FIG. 3F, 3 neighborhood pixels P2、P3And P4In a region Z2In (1). After undergoing a color change, zone Z1Middle 5 neighborhood pixel points and pixel points P1Color values are the same, and zone Z2Middle pixel point P2、P3And P4And pixel point P1The color values are different. On the basis of reciprocal sum to adjust pixel point P1After the color of (2), pixel point P1And pixel point P2、P3And P4Is enhanced. Similarly, pixels at the edge of region 301 can all be performed similarly to pixel P1Color adjustment (color change based on color adjustment strategy and inverse sum based color adjustment). On this basis, the visual difference of the edge of the region 316 from the adjoining regions of the region may be enhanced. It is noted that if a pixel in the region 316 has the same color value as each pixel in the neighborhood. Then, after being performed reciprocal sum based color adjustment, the pixel is not enhanced in visual disparity from the neighboring pixels.
To sum up, the method 200 may perform color adjustment on the image frame to be played based on the color vision anomaly type of the user, so as to improve the visual identification degree of the area corresponding to one or more colors in the image frame for the user, thereby improving the video playing effect and improving the user experience.
FIG. 4 illustrates a flow diagram of a method 400 of playing a video according to some embodiments of the present application. The method 400 may be performed in the video player 121 or other application playing video.
The method 400 includes step S401. The specific implementation of step S401 is the same as step S201, and is not described herein again. In addition, the method 400 may also perform steps S402, S403, and S404. The specific implementation of step S403 is the same as step S202, and the specific implementation of step S404 is the same as step S203, which is not described herein again. In step S402, the value of the color adjustment parameter used by the color adjustment policy in step S403 is determined. Specifically, in step S402, a user interface is provided that presents at least one configuration control. Each configuration control corresponds to a color adjustment parameter. In response to an operation on any configuration control in the user interface, step S402 may determine a value of a color adjustment parameter corresponding to the configuration control. FIG. 5 illustrates a user interface for determining color adjustment parameters according to one embodiment of the present application. The user interface shown in fig. 5 is used to determine the color adjustment parameters in the red blind mode. Here, the control 501 is used to adjust a color adjustment parameter corresponding to the red blind mode, for example, the parameter α in the foregoing. When the user adjusts the control 501 and clicks the "ok" button 502, step S403 may determine the value of the color adjustment parameter. In this way, by dynamically adjusting the parameters of the color adjustment algorithm during the viewing of the video by the user, the method 400 may adjust the effect of color adjustment in real-time, thereby making objects in the played image frame more easily recognizable to the user.
Fig. 6 illustrates a schematic diagram of a video playback device 600 according to some embodiments of the present application. The apparatus 600 is adapted to reside in the video player 121. As shown in fig. 6, the apparatus 600 includes a type determining unit 601, a color adjusting unit 602, and a playing unit 603.
The type determination unit 601 is used to determine the type of color vision anomaly. Wherein the type of color vision anomaly corresponds to one or more color adjustment strategies.
When an image frame to be played is acquired, the color adjustment unit 602 may perform color adjustment on the image frame by using one or more color adjustment strategies corresponding to the color vision anomaly type, so as to improve the visual identification of the region corresponding to one or more colors in the image frame.
The playing unit 603 is configured to play the image frames subjected to color adjustment.
In one embodiment, the type determination unit 601 provides a user interface presenting at least two types of options in response to an operation of setting the color vision anomaly type. Each type option corresponds to a type of color vision anomaly. In response to a selection operation of any type of option in the user interface, the type determination unit 601 may determine a type of color vision anomaly corresponding to the selected type of option.
In yet another embodiment, the type determination unit 601 provides a user interface presenting at least one color vision inspection chart in response to an operation indicating a test color vision anomaly type. In response to the obtained recognition result of the at least one color vision inspection chart, the type determining unit 601 may determine the type of color vision anomaly corresponding to the recognition result.
In one embodiment, the color adjustment unit 602 may provide a user interface presenting at least two policy options, one for each color adjustment policy, in response to an operation to set the color adjustment policy. In response to a selection operation of any one of the policy options in the user interface, the color adjustment unit 602 performs the color adjustment using a color adjustment policy corresponding to the selected policy option.
In some embodiments, the color adjustment unit 602 may change a predetermined color in the image frame corresponding to the adopted color adjustment strategy to adjust a color value difference of each of the regions corresponding to the predetermined color from the neighboring region of the region. Wherein the color value difference comprises at least one of a luminance difference, a chrominance difference and a saturation difference. The adjoining region of a region includes at least a portion of the region adjacent to the region in the image frame.
In some embodiments, to change the color value of the region corresponding to one or more colors, the color adjustment unit 602 may perform color change on each pixel point according to the adopted color adjustment policy. In one embodiment, the type of color vision anomaly determined by the type determination unit 601 is red blindness. The color adjustment unit 602 may change the color value of the region corresponding to the predetermined color according to the following formula:
wherein, I(x,y)Representing the color value of a pixel point with coordinates (x, y) in a long, medium and short color space, alpha representing a color adjusting parameter, gamma (I)(x,y)) Representing a color value of the pixel after the color change.
In still other embodiments, the color adjustment unit 602 may further calculate the distance in color space between each pixel point in the image frame and each pixel point in the neighborhood after the color change. Wherein the neighborhood includes a predetermined region centered on the pixel and not containing the pixel. For each pixel point in the image frame, the color adjustment unit 602 may calculate the reciprocal sum of the non-zero distance between the pixel point and the pixel point in the corresponding neighborhood in the color space. The color adjusting unit 602 may adjust the color value of the pixel point after the color change according to the reciprocal and to enhance the visual difference between the edge of each area in the area corresponding to the predetermined color and the adjacent area of the area.
In one embodiment, the color adjustment unit 602 may change the color value of the region corresponding to the predetermined color according to the following formula.
Wherein, I(x,y)Color value representing a pixel point with coordinates (x, y), Γ (I)(x,y)) Representing the color value of the pixel point after being changed based on the color, xi representing a balance factor, N (x, y) representing the neighborhood space of the pixel point (x, y), I(p,q)Representing the pixelColor value, | Γ (I) of neighborhood pixel point with coordinate (p, q) in neighborhood of point(x,y))-I(p,q)L represents the distance of the pixel point (x, y) and the neighborhood pixel point (p, q) in the color space after the color change,represents the reciprocal sum, I'(x,y)A color value representing the pixel point (x, y) after an adjustment based on the sum of reciprocals. More specific implementations of the apparatus 600 are consistent with the method 200 and will not be described in detail herein.
Fig. 7 illustrates a schematic diagram of a video playback device 700 according to some embodiments of the present application. As shown in fig. 7, the apparatus 700 includes a type determining unit 701, a color adjusting unit 702, a playback unit 703, and a parameter adjusting unit 704. The type determining unit 701, the color adjusting unit 702, and the playing unit 703 are consistent with the embodiments of the type determining unit 601, the color adjusting unit 602, and the playing unit 603, respectively, and are not described herein again. The parameter adjustment unit 704 may determine the value of the color adjustment parameter used by the color adjustment strategy before the color adjustment unit 702 performs color adjustment. In one embodiment, the parameter adjustment unit 704 may provide a user interface that presents at least one configuration control. Each configuration control corresponds to a color adjustment parameter. In response to an operation on any configuration control in the user interface, the parameter adjusting unit 704 determines a value of a color adjustment parameter corresponding to the configuration control. The more specific real-time manner of the apparatus 700 is consistent with the method 400, and will not be described herein.
FIG. 8 illustrates a block diagram of the components of a computing device. As shown in fig. 8, the computing device includes one or more processors (CPUs or GPUs) 802, a communication module 804, a memory 806, a user interface 810, and a communication bus 808 for interconnecting these components.
The processor 802 may receive and transmit data via the communication module 804 to enable network communications and/or local communications.
User interface 810 includes one or more output devices 812 including one or more speakers and/or one or more visual displays. The user interface 810 also includes one or more input devices 814, including, for example, a keyboard, a mouse, a voice command input unit or microphone, a touch screen display, a touch sensitive tablet, a gesture capture camera or other input buttons or controls, and the like.
The memory 806 may be high-speed random access memory, such as DRAM, SRAM, DDR RAM, or other random access solid state memory devices; or non-volatile memory, such as one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid-state storage devices.
The memory 806 stores a set of instructions executable by the processor 802, including:
an operating system 816, including programs for handling various basic system services and for performing hardware-related tasks;
the application 818 includes various programs for implementing the video playing method described above, and such programs can implement the processing flows in the examples described above, such as a video player according to the present application. The video player may include the video playback device 600 shown in fig. 6 or the video playback device 700 shown in fig. 7.
In addition, each of the examples of the present application may be realized by a data processing program executed by a data processing apparatus such as a computer. It is clear that a data processing program constitutes the present application. Further, the data processing program, which is generally stored in one storage medium, is executed by directly reading the program out of the storage medium or by installing or copying the program into a storage device (such as a hard disk and/or a memory) of the data processing device. Such a storage medium therefore also constitutes the present invention. The storage medium may use any type of recording means, such as a paper storage medium (e.g., paper tape, etc.), a magnetic storage medium (e.g., a flexible disk, a hard disk, a flash memory, etc.), an optical storage medium (e.g., a CD-ROM, etc.), a magneto-optical storage medium (e.g., an MO, etc.), and the like.
The present application therefore also discloses a non-volatile storage medium having stored therein a data processing program for executing any one of the examples of the method of the present application.
In addition, the method steps described in this application may be implemented by hardware, for example, logic gates, switches, Application Specific Integrated Circuits (ASICs), programmable logic controllers, embedded microcontrollers, and the like, in addition to data processing programs. Such hardware capable of implementing the methods described herein may also constitute the present application.
The above description is only a preferred example of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present application should be included in the scope of the present application.
Claims (12)
1. A video playback method, comprising:
determining a type of color vision anomaly, wherein the type of color vision anomaly corresponds to one or more color adjustment strategies;
when an image frame to be played is acquired, the one or more color adjustment strategies are adopted to perform color adjustment on the image frame so as to improve the visual identification degree of a region corresponding to one or more colors in the image frame,
wherein the color adjusting the image frame using the one or more color adjustment strategies comprises: for each pixel point in the obtained image frame, carrying out color change on the pixel point according to the adopted color adjustment strategy; calculating the distance between each pixel point in the image frame and each pixel point in a neighborhood after the color is changed, wherein the neighborhood comprises a preset region which takes the pixel point as the center and does not contain the pixel point; for each pixel point in the image frame, calculating the reciprocal sum of the non-zero distance between the pixel point and the pixel point in the corresponding neighborhood in the color space; according to the reciprocal and the color value of the pixel point after the color change is adjusted, the color value difference between the edge of each area corresponding to the preset color corresponding to the adopted color adjusting strategy and the adjacent area of the area is enhanced; and
and playing the image frame subjected to the color adjustment.
2. The method of claim 1, wherein,
the color value difference includes at least one of a luminance difference, a chrominance difference, and a saturation difference, and the adjoining region of the region includes at least a portion of the region adjacent to the region in the image frame.
3. The method of claim 1, wherein the determining the type of color vision anomaly comprises:
providing a user interface presenting at least two types of options in response to the operation of setting the color vision anomaly type, wherein each type of option corresponds to one color vision anomaly type;
and responding to the selection operation of any type of option in the user interface, and determining the type of the color vision anomaly corresponding to the selected type of option.
4. The method of claim 1, further comprising:
before the color change is performed, a value of a color adjustment parameter corresponding to the adopted color adjustment strategy is determined.
5. The method of claim 4, wherein the determining a value of a color adjustment parameter corresponding to the adopted color adjustment strategy comprises:
providing a user interface presenting at least one configuration control, each configuration control corresponding to a color adjustment parameter;
and responding to the operation of any configuration control in the user interface, and determining the value of the color adjustment parameter corresponding to the configuration control.
6. The method of claim 1, wherein the determining the type of color vision anomaly comprises:
in response to an operation indicating a test color vision anomaly type, providing a user interface presenting at least one color vision inspection chart;
and determining the type of the color vision anomaly corresponding to the obtained recognition result of the at least one color vision inspection chart.
7. The method of claim 1, wherein, when the determined type of color vision anomaly is red blindness, for each pixel point in the acquired image frame, color adjustment is performed for the pixel point according to the following formula:
wherein, I(x,y)Representing the color value of a pixel point with coordinates (x, y) in a long, medium and short color space, alpha representing a color adjusting parameter, gamma (I)(x,y)) Representing a color value of the pixel after the color change.
8. The method of claim 1, wherein the operations of, for each pixel point in the image frame, calculating a sum of reciprocals of non-zero distances in color space between the pixel point and a pixel point in the corresponding neighborhood, and adjusting a color value of the pixel point after undergoing the color change based on the sum of reciprocals are performed according to the following formula:
wherein, I(x,y)Color value representing a pixel point with coordinates (x, y), Γ (I)(x,y)) Representing the color value of the pixel point after being changed based on the color, xi representing a balance factor, N (x, y) representing the neighborhood space of the pixel point (x, y), I(p,q)A color value representing a neighborhood pixel point with coordinates (p, q) in a neighborhood of the pixel point, | Γ (I)(x,y))-I(p,q)L represents the distance of the pixel point (x, y) and the neighborhood pixel point (p, q) in the color space after the color change,represents the reciprocal sum, I'(x,y)A color value representing the pixel point (x, y) after an adjustment based on the sum of reciprocals.
9. The method of claim 1, wherein said color adjusting the image frame using the one or more color adjustment strategies comprises:
providing a user interface presenting at least two policy options in response to an operation of setting a color adjustment policy, each policy option corresponding to a color adjustment policy;
and responding to the selection operation of any strategy option in the user interface, and performing the color adjustment by adopting a color adjustment strategy corresponding to the selected strategy option.
10. A video playback apparatus, comprising:
a type determination unit for determining a type of color vision anomaly, the type of color vision anomaly corresponding to one or more color adjustment strategies;
the color adjusting unit is used for changing the color of each pixel point in the obtained image frame according to the adopted color adjusting strategy when the image frame to be played is obtained; calculating the distance between each pixel point in the image frame and each pixel point in a neighborhood after the color is changed, wherein the neighborhood comprises a preset region which takes the pixel point as the center and does not contain the pixel point; for each pixel point in the image frame, calculating the reciprocal sum of the non-zero distance between the pixel point and the pixel point in the corresponding neighborhood in the color space; according to the reciprocal and the color value of the pixel point after the color change is adjusted, the color value difference between the edge of each area corresponding to the preset color corresponding to the adopted color adjusting strategy and the adjacent area of the area is enhanced; and
and the playing unit is used for playing the image frames subjected to the color adjustment.
11. A computing device, comprising:
one or more processors;
a memory; and
one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing the method of any of claims 1-9.
12. A storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform the method of any of claims 1-9.
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| CN109669660B (en) * | 2019-02-28 | 2020-06-02 | 深圳市华星光电半导体显示技术有限公司 | Image processing system and image processing method |
| CN110809145B (en) * | 2019-11-06 | 2021-11-02 | 内蒙古工业大学 | Image brightness conversion method, device and equipment based on Craik-O' Brien effect |
| CN111935509A (en) * | 2020-10-09 | 2020-11-13 | 腾讯科技（深圳）有限公司 | Multimedia data playing method, related device, equipment and storage medium |
| CN112702548A (en) * | 2020-12-11 | 2021-04-23 | 广州朗国电子科技有限公司 | Method and storage medium for adjusting display effect of display screen according to color discrimination capability |
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