Screen evaluation criterion determination method and device, screen evaluation method and device, equipment and medium
By obtaining the historical conditions of virtual shooting scenes and determining and optimizing screen evaluation indicators, the problem of lack of LED screen evaluation standards for virtual shooting in the existing technology is solved, and efficient and accurate evaluation of virtual shooting screens is achieved, and the quality of virtual shooting is improved.
Patent Information
- Application Number
- CN202510012761.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-03
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2045-01-03
AI Technical Summary
The prior art lacks special evaluation indicators and evaluation standards for LED screens for virtual shooting, which makes it impossible to accurately determine whether the screen is suitable for virtual shooting scenes.
By obtaining multiple sets of historical shooting conditions for virtual shooting scenes, the initial evaluation criteria for screen evaluation indicators that are adapted to virtual shooting scenes are determined, and the target evaluation criteria are obtained through verification and optimization to determine whether the screen is suitable for virtual shooting scenes.
It realizes efficient and accurate evaluation of the screen of the virtual shooting scene, ensuring that the display effect of the screen meets the specified requirements of virtual shooting, thereby improving the quality and effect of virtual shooting.
Smart Images

Figure CN119814943A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of virtual shooting, and in particular to a method for determining a screen evaluation standard and a screen evaluation method, device, equipment and medium. Background Art
[0002] Virtual shooting technology is to render virtual scenes in real time on the LED screen and shoot actors and backgrounds simultaneously with actual cameras, thus putting actors in a virtual environment. This technology combines real-time rendering with actor performance, bringing a new experience to film and television creation.
[0003] Currently, there is no evaluation system consisting of evaluation indicators, evaluation standards, and evaluation tool chains specifically for virtual shooting LED screens. Most evaluations are verified by indicators provided by LED screen manufacturers, and the evaluation standards of these indicators are not necessarily suitable for virtual shooting, which means that it is impossible to determine which LED screen is suitable for virtual shooting. Summary of the invention
[0004] In view of this, the present disclosure proposes a screen evaluation standard determination method and a screen evaluation method, device, equipment and medium, which can obtain a target evaluation standard adapted to a virtual shooting scene, and use the target evaluation standard to efficiently and accurately determine whether the screen to be evaluated is suitable for the virtual shooting scene.
[0005] According to one aspect of the present disclosure, a method for determining a screen evaluation standard is provided, comprising: acquiring multiple groups of historical shooting conditions for a virtual shooting scene, wherein a single group of historical shooting conditions comprises at least one of camera configuration information, screen configuration information and lighting configuration information used in the virtual shooting scene; determining an initial evaluation standard of at least one screen evaluation indicator adapted to the virtual shooting scene based on the multiple groups of historical shooting conditions, wherein the screen evaluation indicator is used to evaluate a display effect of a screen, and the initial evaluation standard is used to indicate a compliance condition of the screen evaluation indicator; and obtaining a target evaluation standard of the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator, wherein the target evaluation standard is used to indicate a target compliance condition of the screen evaluation indicator, so as to evaluate whether the screen is adapted to the virtual shooting scene using the target evaluation standard of the at least one screen evaluation indicator.
[0006] In a possible implementation, determining an initial evaluation standard for at least one screen evaluation indicator adapted to the virtual shooting scene based on the multiple sets of historical shooting conditions includes: determining a distribution range corresponding to each of the various screen evaluation indicators based on the multiple sets of historical shooting conditions; and determining an initial evaluation standard corresponding to each of the various screen evaluation indicators based on the distribution range corresponding to each of the various screen evaluation indicators.
[0007] In a possible implementation, the obtaining of a target evaluation standard corresponding to the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator includes:
[0008] For any screen evaluation index, simulate multiple defect display effects of the screen defect indicated by the screen evaluation index, and synthesize the multiple defect display effects onto a preset picture to obtain multiple defect pictures, where the severity of the screen defect represented by different defect display effects is different; display various defect pictures on a reference screen, and use a data acquisition device to collect screen data and screen pictures when the reference screen displays various defect pictures, the screen data includes at least one of color and brightness, the environment where the reference screen is located is the same as the real shooting environment of the virtual shooting scene, and the reference screen has screen configuration information specified by the virtual shooting scene; based on the screen data and screen pictures corresponding to the various defect pictures, verify whether the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard of the screen evaluation index meets the specified picture requirements of the virtual shooting scene; when the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard does not meet the specified picture requirements, optimize the initial evaluation standard of the screen evaluation index to obtain the target evaluation standard corresponding to the screen evaluation index.
[0009] In a possible implementation, the obtaining of the target evaluation standard corresponding to the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator includes: for any screen evaluation indicator, simulating a plurality of defect display effects of the screen defect indicated by the screen evaluation indicator, and synthesizing the plurality of defect display effects onto a preset picture to obtain a plurality of defect pictures, wherein the severity of the screen defect represented by different defect display effects is different; displaying various defect pictures on a reference screen, and using a data acquisition device to collect screen data and screen pictures when the reference screen displays the various defect pictures, wherein the screen data includes at least one of color and brightness, the environment in which the reference screen is located is the same as the real shooting environment of the virtual shooting scene, and the reference screen has screen configuration information specified by the virtual shooting scene; based on the screen data and screen pictures corresponding to the various defect pictures, verifying whether the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard of the screen evaluation indicator meets the specified picture requirement of the virtual shooting scene; in the case where the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard does not meet the specified picture requirement, optimizing the initial evaluation standard of the screen evaluation indicator to obtain the target evaluation standard corresponding to the screen evaluation indicator.
[0010] In a possible implementation, the screen evaluation index includes at least one of the following: a screen brightness range index, a screen uniformity index, a screen brightness continuity index, a screen color gamut range index, and a screen color accuracy index.
[0011] According to another aspect of the present disclosure, a screen evaluation method is provided, comprising: controlling a target screen to be evaluated to reach preset screen configuration information, and controlling the target screen to display a reference picture, wherein the reference picture comprises pictures of multiple colors; using a data acquisition device to acquire screen data when the target screen displays the reference picture, wherein the screen data comprises at least one of color and brightness; judging whether a display effect of the target screen meets a target evaluation standard of at least one screen evaluation index based on the screen data, and obtaining an evaluation result of the target screen, wherein the evaluation result is used to indicate whether the display effect of the target screen meets the target evaluation standards of various screen evaluation indexes, and the target evaluation standard corresponding to the at least one screen evaluation index is determined by the determination method.
[0012] In a possible implementation, the evaluation method further includes: determining, according to the evaluation result of the target screen, the availability of the target screen for virtual shooting, wherein the availability is used to indicate whether the target screen is suitable for the virtual shooting scene.
[0013] According to another aspect of the present disclosure, a device for determining a screen evaluation standard is provided, comprising: an acquisition module, used to acquire multiple groups of historical shooting conditions for a virtual shooting scene, wherein a single group of historical shooting conditions comprises at least one of camera configuration information, screen configuration information and lighting configuration information used in the virtual shooting scene; a determination module, used to determine, based on the multiple groups of historical shooting conditions, an initial evaluation standard of at least one screen evaluation indicator adapted to the virtual shooting scene, wherein the screen evaluation indicator is used to evaluate a display effect of a screen, and the initial evaluation standard is used to indicate a compliance condition of the screen evaluation indicator; a verification and optimization module, used to obtain a target evaluation standard of the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator, wherein the target evaluation standard is used to indicate a target compliance condition of the screen evaluation indicator, so as to evaluate whether the screen is adapted to the virtual shooting scene using the target evaluation standard of the at least one screen evaluation indicator.
[0014] According to another aspect of the present disclosure, a screen evaluation device is provided, comprising: a control module, used to control a target screen to be evaluated to reach preset screen configuration information, and control the target screen to display a reference picture, wherein the reference picture comprises pictures of multiple colors; a collection module, used to use a data collection device to collect screen data when the target screen displays the reference picture, wherein the screen data comprises at least one of color and brightness; a judgment module, used to judge whether a display effect of the target screen meets a target evaluation standard of at least one screen evaluation index according to the screen data, and obtain an evaluation result of the target screen, wherein the evaluation result is used to indicate whether the display effect of the target screen meets the target evaluation standards of various screen evaluation indicators, and the target evaluation standard corresponding to the at least one screen evaluation index is determined using the determination method.
[0015] According to another aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.
[0016] According to another aspect of the present disclosure, a non-volatile computer-readable storage medium is provided, on which computer program instructions are stored, wherein the computer program instructions implement the above method when executed by a processor.
[0017] According to another aspect of the present disclosure, a computer program product is provided, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.
[0018] According to various aspects of the present disclosure, by obtaining multiple groups of historical shooting conditions of virtual shooting scenes, determining initial evaluation standards for screen evaluation indicators that are adapted to the virtual shooting scenes, and then verifying and optimizing the initial evaluation standards, a more accurate target evaluation standard that is adapted to the virtual shooting scenes can be obtained, so that the target evaluation standard can be used to efficiently and accurately determine whether the screen to be evaluated is suitable for virtual shooting.
[0019] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
[0021] Figure 1A flowchart of a method for determining a screen evaluation standard according to an embodiment of the present disclosure is shown.
[0022] Figure 2 A flow chart of a screen evaluation method according to an embodiment of the present disclosure is shown.
[0023] Figure 3 A schematic diagram of a screen evaluation system according to an embodiment of the present disclosure is shown.
[0024] Figure 4 A block diagram of a device for determining a screen evaluation standard according to an embodiment of the present disclosure is shown.
[0025] Figure 5 A block diagram of an electronic device 1900 according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION
[0026] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.
[0027] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.
[0028] The term "and / or" herein is only a description of the association relationship of associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent any one or more elements selected from the set consisting of A, B, and C. In the description of the present disclosure, "plurality" means two or more, unless otherwise clearly and specifically defined.
[0029] It should be understood that the terms “include” and “comprising” used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.
[0030] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.
[0031] The evaluation criteria determination method and evaluation method of the embodiment of the present disclosure can be deployed on various terminal devices through software or hardware modification. The terminal device involved in the embodiment of the present disclosure may refer to a device with a wireless connection function and / or a wired connection function. The wireless connection function refers to the ability to connect to other devices through wireless connection methods such as wifi and Bluetooth. The terminal device involved in the embodiment of the present disclosure can also communicate with other devices through a wired connection function. The terminal device involved in the embodiment of the present disclosure can be a touch screen, a non-touch screen, or a screen-free terminal. The touch screen can be controlled by clicking and sliding on the display screen with a finger or a stylus. The non-touch screen device can be connected to an input device such as a mouse, a keyboard, a touch panel, and the terminal device is controlled through the input device. For example, the device without a screen can be a Bluetooth speaker without a screen. For example, the terminal device of the present application may include but is not limited to user equipment (UE), mobile devices, mobile terminals, handheld devices, tablet computers, laptops, PDAs, computing devices, etc.
[0032] The evaluation criteria determination method and evaluation method of the embodiment of the present disclosure can also be deployed on a server, which can be located in the cloud or locally, and can be a physical device or a virtual device, such as a virtual machine, a container, etc., and has a wireless communication function, wherein the wireless communication function can be set in the chip (system) or other parts or components of the server. It can refer to a device with a wireless connection function, and the wireless connection function refers to the ability to connect to other servers or terminal devices through wireless connection methods such as Wi-Fi and Bluetooth. The server involved in the embodiment of the present disclosure can also have the function of communicating through a wired connection. For example, the server of the embodiment of the present disclosure can be located in the cloud, communicate with the terminal device, receive multiple sets of historical shooting conditions of the virtual shooting scene sent by the terminal device, and use the evaluation criteria determination method deployed on the server based on the multiple sets of historical shooting conditions to obtain the target evaluation criteria of at least one screen evaluation indicator, and return it to the terminal device, so as to display the target evaluation criteria of at least one screen evaluation indicator to the user in the terminal device.
[0033] Figure 1 FIG. 1 is a flowchart showing a method for determining a screen evaluation standard according to an embodiment of the present disclosure. Figure 1 As shown, the method includes: step S11 to step S13.
[0034] In step S11, multiple groups of historical shooting conditions of the virtual shooting scene are obtained, and a single group of historical shooting conditions includes at least one of camera configuration information, screen configuration information and lighting configuration information used in the virtual shooting scene.
[0035] In practical applications, multiple sets of historical shooting conditions can be obtained by manually recording the camera configuration information, screen configuration information, and lighting configuration information used in different virtual shooting scenes. The camera configuration information may include at least one of the aperture, shutter, lens, focal length, and white balance of the camera used in the virtual shooting scene; the screen configuration information may include at least one of the brightness, color gamut, and refresh rate of the screen used in the virtual shooting scene, wherein the screen used in the virtual shooting scene may be an LED screen, and the embodiment of the present disclosure does not limit the shape, size, type, etc. of the screen; the lighting configuration information may include at least one of the light source information of the virtual light source and the light source information of the physical light source in the virtual asset used in the virtual shooting scene; the light source information includes the arrangement and brightness of the light source, wherein the arrangement of the light source may include the position and orientation of the light source, the virtual asset may be understood as a virtual scene to be displayed on the screen in the virtual shooting, a virtual light source may be provided in the virtual scene (such as a virtual light source for simulating sunlight, a virtual light source for simulating light, candlelight, etc.), and the physical light source may be understood as a light source provided in a real shooting location of the virtual shooting scene. Generally speaking, the lighting direction of the virtual light source is aligned with that of the physical light source, that is, the physical light source cooperates with the lighting direction of the virtual light source to better complete the virtual shooting.
[0036] Taking into account that some partial configuration information may not be able to be fully recorded, while the virtual assets used in the virtual shooting scene and the real-life scenes shot (i.e., the scenes obtained by the camera shooting the actors in front of the screen and the virtual assets displayed on the screen) are usually retained in their entirety, therefore, in one possible implementation method, obtaining multiple sets of historical shooting conditions for the virtual shooting scene may include: obtaining multiple virtual assets historically used in the virtual shooting scene and multiple real-life scenes shot, and determining multiple historical shooting conditions for the virtual shooting scene by analyzing the multiple virtual assets and the multiple real-life scenes. Among them, for any pair of virtual assets and real-life images (i.e., the virtual assets displayed on the screen and the real-life images simultaneously captured by the camera when the virtual assets are displayed on the screen), the lighting configuration information can be obtained by analyzing the virtual assets (e.g., the light source information of the virtual light source can be obtained from the virtual assets, and then the light source information of the physical light source can be inferred by using the light source information of the virtual light source). The brightness, color and frame rate of the screen can be inferred by analyzing the brightness, color and frame rate of the background in the real-life image. The camera parameters such as the aperture, shutter, focal length and white balance can be inferred by analyzing the projection relationship between the virtual assets and the real-life image.
[0037] Among them, for any pair of virtual assets and real-life images, for example, the virtual assets and real-life images can be used to simulate the screen, camera and lighting in the virtual shooting scene at that time, and by continuously adjusting the configuration information of the screen, camera and lighting, the screen displays the virtual assets and the camera shooting image is consistent with the real-life image, and the screen configuration information, camera configuration information and lighting configuration information under this effect are obtained; for example, an artificial intelligence model can also be used to analyze the virtual assets and the real-life images to obtain historical shooting conditions. The artificial intelligence model can be trained using a data set, which can include sample data (i.e., virtual assets and real-life images as samples) and annotation data (i.e., corresponding real shooting conditions). The artificial intelligence model is used to output a prediction result (i.e., the predicted shooting condition) based on the sample data, and then the difference between the prediction result output by the model and the annotation data is used to train the artificial intelligence model, and the embodiments of the present disclosure do not limit this. The embodiments of the present disclosure do not limit the method for obtaining historical shooting conditions.
[0038] In step S12, based on multiple groups of historical shooting conditions, an initial evaluation standard of at least one screen evaluation index adapted to the virtual shooting scene is determined, wherein the screen evaluation index is used to evaluate the display effect of the screen, and the initial evaluation standard is used to indicate the compliance condition of the screen evaluation index.
[0039] Among them, the screen evaluation index may include at least one of the following: screen brightness range index, screen uniformity index, screen brightness continuity index, screen color gamut range index, and screen color accuracy index. Among them, the screen brightness range index can measure the brightness range of the screen. In the virtual shooting scene, a larger brightness range can provide a larger shooting space. Among them, the screen uniformity index can measure the brightness difference and color difference in different areas of the screen, that is, the screen uniformity can be expressed as brightness difference and color difference. For example, since the screen (such as an LED screen) in the virtual shooting is assembled from multiple boxes, when the screen displays the same color picture, the brightness and color displayed when different boxes display the same color picture may be different, so the brightness mean square error of different areas of the screen (such as the brightness displayed by different boxes) can be used to indicate the brightness difference and the color mean error of different areas of the screen (such as the color displayed by different boxes) can be used to indicate the color difference. Among them, the screen brightness continuity index can measure the continuity and smoothness of the brightness change during the screen display process. If the brightness change is continuous and smooth, the screen display will be more natural and comfortable. Among them, the brightness value of the screen at different time and space positions can be measured, and the continuity of the screen brightness change can be evaluated by analyzing these data. The screen color gamut range index can measure the screen's color expression ability, that is, it can measure the color range that the screen can display. In a virtual shooting scene, the larger the color gamut range, the larger the shooting space provided. The screen color accuracy index can measure the closeness between the color displayed on the screen and the original color, that is, it can measure the color difference (i.e. color deviation) of the screen. Among them, color accuracy can be expressed as the color deviation between the color displayed on the screen and the original color.
[0040] It should be understood that the above-mentioned screen evaluation indicators are some possible indicators proposed in the embodiments of the present disclosure. These indicators can be indicators provided by the screen manufacturer, or some indicators suitable for virtual shooting scenes can be selected from the various indicators provided by the screen manufacturer. For example, based on obtaining virtual assets and real-life images as reference guidelines, some indicators suitable for virtual shooting scenes can be selected from the various indicators provided by the screen manufacturer. Of course, screen evaluation indicators can also be screened based on manual experience, which is not limited by the embodiments of the present disclosure.
[0041] In a possible implementation, determining the initial evaluation standard of at least one screen evaluation indicator adapted to the virtual shooting scene based on multiple groups of historical shooting conditions may include: determining the distribution range corresponding to each of the various screen evaluation indicators based on the multiple groups of historical shooting conditions; determining the initial evaluation standard corresponding to each of the various screen evaluation indicators based on the distribution range corresponding to each of the various screen evaluation indicators. Among them, the indicator values corresponding to each of the screen evaluation indicators under different historical shooting conditions may be determined by simulating the virtual shooting scenes under different historical shooting conditions (i.e., restoring the virtual shooting scenes under different historical shooting conditions), for example, determining the screen brightness value, screen uniformity, brightness continuity, screen color gamut value, color accuracy, etc., so that the distribution ranges corresponding to the different screen evaluation indicators may be obtained based on the indicator values corresponding to each of the screen evaluation indicators under multiple historical shooting conditions, for example, the brightness range corresponding to the screen brightness range indicator, the uniformity range corresponding to the screen uniformity indicator, the continuity range corresponding to the screen brightness continuity indicator, the color gamut range corresponding to the screen color gamut range indicator, and the accuracy range corresponding to the screen color accuracy. Alternatively, it is also possible to train an artificial intelligence model and use the artificial intelligence model to determine the distribution range corresponding to various screen evaluation indicators based on multiple sets of historical shooting conditions. The artificial intelligence model can be trained using a data set, which may include, for example, sample shooting conditions and annotation data (i.e., the true distribution range of various screen evaluation indicators). The artificial intelligence model is used to output the distribution range based on the sample shooting conditions, and then the difference between the distribution range output by the model and the annotation data is used to train the artificial intelligence model. The embodiments of the present disclosure are not limited to this.
[0042] Furthermore, the initial evaluation criteria corresponding to the various screen evaluation indicators can be determined based on the distribution ranges corresponding to the various screen evaluation indicators, that is, the initial compliance conditions corresponding to the various screen evaluation indicators (or the initial thresholds corresponding to the various screen evaluation indicators) can be determined. For example, the initial evaluation criteria corresponding to the screen brightness range indicator can be determined based on the highest brightness in the brightness range corresponding to the screen brightness range indicator determined based on multiple historical shooting conditions; the initial evaluation criteria corresponding to the screen uniformity indicator can be determined based on the minimum screen uniformity (that is, the minimum brightness difference and color difference) in the uniformity range corresponding to the screen uniformity indicator; the initial evaluation criteria corresponding to the screen brightness continuity indicator can be determined based on the maximum screen continuity in the continuity range corresponding to the screen brightness continuity indicator; the color gamut range corresponding to the screen color gamut range indicator is used as the initial evaluation criteria corresponding to the screen color gamut range indicator; the initial evaluation criteria corresponding to the screen color accuracy can be determined based on the highest color accuracy (that is, the minimum color deviation) in the accuracy range corresponding to the screen color accuracy. Exemplarily, the initial evaluation criteria corresponding to the screen brightness range index may include that the screen brightness is greater than the highest brightness in the brightness range corresponding to the screen brightness range index, the initial evaluation criteria corresponding to the screen uniformity index may include that the screen uniformity is less than the minimum screen uniformity in the uniformity range, the initial evaluation criteria corresponding to the screen brightness continuity index may include that the screen brightness continuity is greater than the maximum screen continuity in the continuity range, and the initial evaluation criteria corresponding to the screen color accuracy may include that the color accuracy is greater than the highest color accuracy in the accuracy range (i.e., the color deviation is less than the minimum color deviation in the accuracy range), and the embodiments of the present disclosure are not limited to this. It should be understood that the above implementation methods for determining the initial evaluation criteria are some possible implementation methods provided by the embodiments of the present disclosure. In fact, those skilled in the art can customize the determination method of the initial evaluation criteria according to actual needs. For example, the initial evaluation criteria corresponding to the screen brightness continuity index can also be determined based on the average value corresponding to the continuity range, and the initial evaluation criteria corresponding to the screen brightness range index can be determined based on the ratio between the highest brightness and the lowest brightness in the brightness range, and the embodiments of the present disclosure are not limited to this.
[0043] In actual applications, the same screen evaluation index can determine an initial evaluation standard, or multiple initial evaluation standards can be determined, and the requirements of different initial evaluation standards are different. For example, an initial evaluation standard corresponding to the screen brightness range index can include a screen brightness greater than the highest brightness in the brightness range corresponding to the screen brightness range index, and another initial evaluation standard can include a screen brightness greater than the average brightness in the brightness range corresponding to the screen brightness range index. Then, through step S13, one or more target evaluation standards can be determined for the same screen evaluation index to meet the different requirements of different virtual shooting scenes for screen display performance. For example, some imaginary shooting scenes have high requirements for screen display performance, and higher standard target evaluation standards can be used. Some imaginary shooting scenes do not have high requirements for screen display performance, and lower standard target evaluation standards can be used.
[0044] In step S13, by verifying and optimizing the initial evaluation criteria of at least one screen evaluation indicator, a target evaluation criteria of at least one screen evaluation indicator is obtained, and the target evaluation criteria is used to indicate the target attainment condition of the screen evaluation indicator, so as to evaluate whether the screen is suitable for the virtual shooting scene using the target evaluation criteria of at least one screen evaluation indicator.
[0045] Considering that the virtual assets used in the historical virtual shooting scene may change, even if the virtual assets are exactly the same as the virtual assets used at the shooting scene at that time, it is difficult to obtain accurate data for variables such as the screen configuration used at the shooting scene and the camera configuration used during actual shooting, and the shooting effect of the virtual shooting scene is not necessarily the most ideal effect. For example, the maximum brightness of the screen used in the historical virtual shooting scene is only 2200nit, but in this scene, it is more hoped that the screen can provide a brightness of 4000nit. Therefore, the initial evaluation standard obtained by step S12 is not necessarily an evaluation standard that accurately adapts to the virtual shooting scene, so the initial evaluation standard of at least one screen evaluation indicator can be verified and optimized to obtain a target evaluation standard of at least one screen evaluation indicator that more accurately adapts to the virtual shooting scene, that is, to obtain the target compliance condition corresponding to at least one screen evaluation indicator (or the target threshold corresponding to various screen evaluation indicators).
[0046] Specifically, in a possible implementation, step S13, verifying and optimizing the initial evaluation criteria of at least one screen evaluation indicator to obtain a target evaluation criteria corresponding to at least one screen evaluation indicator, may include:
[0047] Step S131, for any screen evaluation index, simulating multiple defect display effects of the screen defect indicated by the screen evaluation index, and synthesizing the multiple defect display effects onto a preset screen to obtain multiple defect screens, where different defect display effects represent different degrees of severity of the screen defect;
[0048] Step S132, displaying various defective images on the reference screen, and using a data acquisition device to acquire screen data and screen images when the reference screen displays the various defective images, wherein the screen data includes at least one of color and brightness, the environment in which the reference screen is located is the same as the real shooting environment of the virtual shooting scene, and the reference screen has screen configuration information specified by the virtual shooting scene;
[0049] Step S133, based on the screen data and screen images corresponding to the various defective images, verify whether the screen display effect of the screen image corresponding to the screen data that meets the initial evaluation standard of the screen evaluation index meets the specified image requirements of the virtual shooting scene;
[0050] Step S134, when the screen display effect corresponding to the screen data that meets the initial evaluation standard does not meet the specified screen requirement, the initial evaluation standard of the screen evaluation index is optimized to obtain the target evaluation standard corresponding to the screen evaluation index.
[0051] It should be understood that screen defects may have different degrees of severity. For example, the degree of brightness and color unevenness of the screen display is different, the degree of color deviation of the screen display is different, the maximum brightness that the screen can display is different, and the color gamut range of the screen display is different. Therefore, for the same screen evaluation index, a variety of defect display effects can be simulated, and the various defect display effects can be synthesized onto a preset picture to obtain a variety of defect pictures; wherein the preset picture can be a picture of a virtual scene (i.e., a virtual asset) to be projected onto a reference screen, and the virtual scene contained in the preset picture can be some virtual scenes with high light-dark contrast and rich colors, which is not limited to the embodiments of the present disclosure. For example, defective images A and B both have the defect of color deviation, the color deviation degree of defective image A is more serious than that of defective image B, and defective image C has the defect of low maximum brightness; or, the same defective image may also contain multiple severity levels of one defect type, for example, defective image D has the defect of color deviation, and the color deviation degree of the left area of the defective image D is more serious than that of the right area. Of course, the same defective image D may also be divided into three parts or more areas based on the number of divisions of the severity of the color deviation; or, the same defective image may also include multiple defect types, for example, the left area of the defective image E is a color deviation defect, and the right area is an uneven brightness defect. Multiple defective images E may be used, and the severity of the two defect types in each defective image E is different. Of course, each defective image E may also contain three or more defect types, then the defective image E may be divided into multiple parts or more areas, and this is not limited in the embodiments of the present disclosure.
[0052] Among them, displaying various defective images on the reference screen is equivalent to simulating screen defects of various severity on the reference screen, and then the data acquisition device can be controlled to collect screen data and screen images when the reference screen displays various defective images. For example, the data acquisition device may include a color analyzer and a camera. The color analyzer is used to collect the color and brightness of the screen when the reference screen displays various defective images, and the camera is used to collect the screen images when the reference screen displays various defective images; or, the data acquisition device may only include a camera. After collecting the screen images with the camera, the screen data can be extracted from the screen images.
[0053] Among them, in order to accurately verify the initial evaluation criteria, the environment in which the reference screen is located can be the same as the actual shooting environment of the virtual shooting scene, the reference screen can have the screen configuration information specified by the virtual shooting scene, and the camera used to collect the screen image can also have the camera configuration information specified by the virtual shooting scene. The screen configuration information and camera configuration information used at this time can be general default configuration information, or can also be configuration information customized by the user according to actual needs, that is, the scene scenery, lighting, etc. of the reference screen can be set to simulate the actual shooting scene of the virtual shooting scene, and the reference screen, camera and other equipment can be configured according to the virtual shooting requirements (such as: the brightness and color gamut of the reference screen, the image quality engine switch of the screen rendering, the shutter of the camera, the image data bit depth of the camera, the gamma value of the camera, etc. are configured according to the specified configuration parameters) to verify and optimize the initial evaluation criteria of the screen evaluation index by simulating the screen defects of the real shooting scene.
[0054] Among them, the screen data may include brightness values and color values of multiple areas (or multiple points) of the reference screen. Therefore, the screen data when the reference screen displays various defective pictures is known, and the index value corresponding to the screen evaluation index can be calculated. For example, based on the brightness value in the screen data collected when the screen displays multiple defective pictures, the maximum brightness corresponding to each defective picture can be determined, based on the brightness value and color value in the screen data collected when the screen displays each defective picture, the screen uniformity corresponding to each defective picture can be calculated, and based on the color value in the screen data collected when the screen displays each defective picture, the color gamut range and / or color accuracy corresponding to each defective picture can be determined; then, for each screen evaluation index, the calculated index value corresponding to each defective picture can be compared with the corresponding initial evaluation standard to obtain screen data that meets the initial evaluation standard of the screen evaluation index, and thus obtain the screen picture of the screen data that meets the initial evaluation standard of the screen evaluation index.
[0055] Among them, the specified picture requirements of the virtual shooting scene can indicate the quality requirements of the virtual shooting scene for the captured real scene, such as picture quality reaching a certain standard, clarity reaching a certain standard, no obvious color difference, no obvious defects (such as no scanning lines), uniform brightness, etc. In actual applications, a corresponding verification algorithm can be designed for the specified picture requirements to verify whether the screen display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard of the screen evaluation index meets the specified picture requirements of the virtual shooting scene, or it can be subjectively verified by professional evaluators, or it can be verified by training an artificial intelligence model whether the screen display effect meets the specified picture requirements of the virtual shooting scene, and the embodiments of the present disclosure are not limited to this.
[0056] If it is verified that the screen display effect of the screen image corresponding to the screen data that meets the initial evaluation standard does not meet the specified image requirements, it means that the current initial evaluation standard does not meet the requirements of the virtual shooting scene. Therefore, the initial evaluation standard of the screen evaluation index can be optimized. For example, the initial evaluation standard corresponding to the screen brightness range index can be increased, the initial evaluation standard corresponding to the screen uniformity index can be reduced, the initial evaluation standard corresponding to the screen brightness continuity index can be increased, the initial evaluation standard corresponding to the screen color accuracy can be increased, etc., to obtain the target evaluation standards corresponding to various screen evaluation indicators. It should be understood that those skilled in the art can adopt optimization algorithms known in the art to optimize the initial evaluation standards of the screen evaluation indicators, and the embodiments of the present disclosure are not limited to this.
[0057] For example, the defective images A, B, and C mentioned above can be displayed on the reference screen, and the screen data collected respectively can be used to determine the color deviations corresponding to the defective images A and B, and the maximum brightness corresponding to the defective image C. After comparing with the initial evaluation standard, it is determined that the color deviation corresponding to the defective image A has reached the initial evaluation standard, the color deviation corresponding to the defective image B has not reached the initial evaluation standard, and the maximum brightness corresponding to the defective image C has reached the initial evaluation standard. Then, it is further verified whether the screen display effect corresponding to the screen data corresponding to the defective images A and C meets the specified screen requirements of the virtual shooting scene. If the defective image A does not meet the requirements, the initial evaluation standard value of the color deviation is optimized, for example, the initial evaluation standard value as the color deviation threshold is reduced. If the defective image C meets the requirements, the initial evaluation standard value of the maximum brightness can be used as the target evaluation standard.
[0058] For another example, the color deviations of the left and right areas in the defective picture D used as an example above are different. There may be multiple defective pictures D, and the two parts of the pictures in different defective pictures have color deviations of different severity. Each defective picture can be divided into two parts according to the dividing boundaries of the areas corresponding to the different color deviations in each defective picture D, and the color deviations corresponding to the two parts are determined based on the partial screen data corresponding to each of the two parts after each defective picture D is displayed on the reference screen. Then, they are compared with the initial evaluation criteria to find a partial picture in a defective picture D that meets the initial evaluation criteria, and then it is verified whether the partial picture in the defective picture D that meets the initial evaluation criteria corresponds to the partial screen picture on the screen. Whether it meets the specified picture requirements of the virtual shooting scene, if not, the initial evaluation criteria are optimized, and if it is met, the initial evaluation criteria can be used as the target evaluation criteria. Correspondingly, the defect screen E exemplified in the above text may refer to the implementation method of the above-mentioned defect screen D. There may be multiple defect screens E. The defect severity of the two defect types displayed in the two areas of different defect screens E may be different. Each defect screen E may be divided into two parts based on the dividing boundary of different defect types in each defect screen E. Based on the partial screen data corresponding to the two parts of each defect screen after each defect screen E is displayed on the reference screen, the initial evaluation criteria corresponding to the two defect types may be verified and optimized respectively to obtain the corresponding target evaluation criteria.
[0059] It should be understood that the process of optimizing the initial evaluation criteria of the screen evaluation index can be iteratively executed for multiple rounds, that is, based on the screen data and screen images corresponding to various defective images, it can be iteratively verified whether the screen display effect of the screen image corresponding to the screen data that reaches the optimized initial evaluation criteria meets the specified picture requirements of the virtual shooting scene, until the screen display effect of the screen image corresponding to the screen data that reaches the optimized initial evaluation criteria meets the specified picture requirements of the virtual shooting scene, and the target evaluation criteria corresponding to the screen evaluation index are obtained. Exemplarily, assuming that for a certain defect type (such as color deviation), the defect severity in the corresponding five defective pictures (1, 2, 3, 4, 5) increases in sequence. In the first round of optimization, if it is determined that the screen data corresponding to the defective pictures (1, 2, 3) meet the corresponding initial evaluation criteria, then it can be checked whether the screen image corresponding to the defective picture 3 with the highest defect severity among the defective pictures (1, 2, 3) meets the specified picture requirements of the virtual shooting scene. This is because if the defective picture 3 with the most serious defects has met the specified picture requirements, then the defective pictures 1 and 2 with less serious defects will meet the specified picture requirements. If the screen image corresponding to the defective picture 3 does not meet the specified picture requirements of the virtual shooting scene, the initial evaluation criteria are optimized to make the optimized initial evaluation criteria higher. In this way, in the second round of optimization, based on the optimized initial evaluation criteria, it can be If it can be determined that the screen data corresponding to defective pictures 1 and 2 meet the optimized initial evaluation criteria, then it can be seen whether the screen image corresponding to defective picture 2 with the highest defect severity among defective pictures 1 and 2 meets the specified image requirements of the virtual shooting scene. If the screen image corresponding to defective picture 2 already meets the specified image requirements of the virtual shooting scene, the iterative optimization can be stopped, and the initial evaluation criteria after the first round of optimization can be determined as the corresponding target evaluation criteria. If the screen image corresponding to defective picture 2 still does not meet the specified image requirements of the virtual shooting scene, the initial evaluation criteria after the first round of optimization can be continued to be optimized to obtain the initial evaluation criteria after the second round of optimization, until the screen image corresponding to the defective picture determined according to the initial evaluation criteria after a certain round of optimization that meets the optimized initial evaluation criteria meets the specified image requirements, and the target evaluation criteria are obtained.
[0060] As described above, the same screen evaluation index can determine one or more initial evaluation criteria. When the same screen evaluation index determines multiple initial evaluation criteria, the specified screen requirements of the virtual shooting scene can be set in multiple ways. Multiple specified screen requirements can be set according to the user's high or low requirements for picture quality (that is, the high or low requirements for screen display performance). Based on this, in the above step S133, different specified screen requirements can be used to verify different initial evaluation criteria of the same screen evaluation index (that is, verify whether the screen display effect of the screen image corresponding to the screen data that meets the different initial evaluation criteria of the screen evaluation index meets the corresponding different specified screen requirements). It should be understood that a higher specified screen requirement can verify the initial evaluation criteria of a higher standard, and a lower specified screen requirement can verify the initial evaluation criteria of a lower standard, and the embodiment of the present disclosure does not limit this. In this way, multiple target evaluation criteria corresponding to the same screen evaluation index can be obtained to meet the user's different requirements for the screen display performance used in the virtual shooting scene.
[0061] According to the screen evaluation standard determination method of the embodiment of the present disclosure, by obtaining multiple groups of historical shooting conditions of the virtual shooting scene, the initial evaluation standard of the screen evaluation index adapted to the virtual shooting scene is determined, and then the initial evaluation standard is verified and optimized. A more accurate target evaluation standard adapted to the virtual shooting scene can be obtained, so that the target evaluation standard can be used to efficiently and accurately determine whether the screen to be evaluated is suitable for virtual shooting.
[0062] Based on the screen evaluation standard determination method proposed in the above embodiment of the present disclosure, the present disclosure embodiment also provides a Figure 2 The screen evaluation method shown may include:
[0063] Step S21, controlling the target screen to be evaluated to reach preset screen configuration information, and controlling the target screen to display a reference picture, wherein the reference picture includes pictures of multiple colors;
[0064] Step S22, using a data acquisition device to acquire screen data when the target screen displays the reference picture, wherein the screen data includes at least one of color and brightness;
[0065] Step S23, judging whether the display effect of the target screen meets the target evaluation standard of at least one screen evaluation indicator based on the screen data, and obtaining the evaluation result of the target screen, wherein the evaluation result is used to indicate whether the display effect of the target screen meets the target evaluation standards of various screen evaluation indicators, and the target evaluation standard corresponding to the at least one screen evaluation indicator is determined using the screen evaluation standard determination method.
[0066] In step S21, the screen configuration information achieved by the target screen may be the screen configuration information set by the user according to the actual shooting requirements, for example, the target screen is controlled to achieve a preset brightness, color gamut, and refresh rate. Then, the target screen is controlled to display a reference picture, which may be a picture of multiple colors, wherein the user may customize the color type of the reference picture, for example, the reference picture may include a red picture, a green picture, a blue picture, and a white picture, etc., which is not limited in the embodiments of the present disclosure.
[0067] In step S22, the data acquisition device may include a color analyzer, which can be used to effectively acquire screen data when the target screen displays the reference image. Alternatively, the data acquisition device may include a camera, which can be kept as close to the specified shooting standard as possible, that is, the camera's aperture, shutter, frame, frame rate, shutter angle and other parameters can be set according to the specified shooting standard, and the camera can be used to acquire the screen image, and then the screen data can be extracted from the screen image. The screen image captured by the camera can be acquired using a serial digital interface (SDI), which is not limited in the embodiments of the present disclosure.
[0068] In step S23, the index values of various screen evaluation indicators (such as determining at least one of the screen brightness value, screen uniformity, brightness continuity, screen color gamut value, and color accuracy) can be obtained by analyzing the screen data, and then it can be judged whether the index values of the various screen evaluation indicators meet the target evaluation standards of the various screen evaluation indicators, and the evaluation results of the target screen under the various screen evaluation indicators can be obtained. Then, based on the evaluation results of the target screen under the various screen evaluation indicators, it can be judged whether the target screen is suitable for virtual shooting. For example, when the evaluation results indicate that the display effects of the target screen meet the target evaluation standards of various screen evaluation indicators, or when the evaluation results indicate that the display effects of the target screen meet the target evaluation standards of at least 4 screen evaluation indicators, etc., it can be confirmed that the target screen is suitable for virtual shooting, and the embodiments of the present disclosure are not limited to this.
[0069] In a possible implementation, the method may further include: determining the usability of the target screen for virtual shooting according to the evaluation result of the target screen, the usability being used to indicate whether the target screen is suitable for the virtual shooting scene. The target screen may be scored according to the evaluation result of the target screen, and the score may be used to indicate the usability of the target screen for virtual shooting. For example, a scoring standard of 1-5 may be given, with 1 being the lowest score and 5 being the highest score.
[0070] In practical applications, a mapping relationship between the evaluation results of multiple screen evaluation indicators and the availability can be pre-established, so as to use the mapping relationship to determine the availability of the target screen for virtual shooting according to the evaluation results of the target screen; for example, when the display effect of the target screen meets the target evaluation criteria of all screen evaluation indicators, the availability can be 5 points, when it meets the target evaluation criteria of at least 4 screen evaluation indicators, the availability can be 4 points, when it meets the target evaluation criteria of less than 1 screen evaluation indicator, the availability can be 1 point, etc.; or, it is also possible to set weights for different screen evaluation indicators in combination with the importance of different screen evaluation indicators, and use the weights of different screen evaluation indicators and the initial scores of different screen evaluation indicators to perform weighted summation on the initial scores of the screen evaluation indicators satisfied by the display effect of the target screen, so as to obtain the availability of the target screen for virtual shooting, etc. It should be understood that those skilled in the art can customize and design relevant algorithms according to actual needs to determine the availability of the target screen for virtual shooting according to the evaluation results of the target screen, and the embodiments of the present disclosure are not limited to this.
[0071] In actual applications, an evaluation report can be generated based on the evaluation results of the above-mentioned target screen and the degree of availability determined based on the evaluation results, and sent to the user (such as sending it to the user via email, etc.). The embodiment of the present disclosure does not limit the style, content, format, sending method, etc. of the evaluation report.
[0072] According to the evaluation method of the embodiment of the present disclosure, it is possible to efficiently and accurately determine whether the target screen to be evaluated is suitable for virtual shooting by using the target evaluation standard of at least one screen evaluation index.
[0073] Based on the screen evaluation standard determination method and screen evaluation method provided by the above embodiments of the present disclosure, the embodiments of the present disclosure also provide Figure 3 A screen evaluation system is shown, such as Figure 3As shown, the screen evaluation system includes: a data acquisition module, a screening index module, an index verification and threshold determination module, an evaluation tool, and an evaluation report module. Among them, the data acquisition module can be used to control the color analyzer to collect screen data and control the camera to collect screen images; the screening index module can be used to execute the above step S12 to determine the initial evaluation standards for various screen evaluation indicators, that is, the manufacturer can provide indicators, collect past on-site assets to analyze historical shooting conditions as a guide for the initial evaluation standards, simulate and statistically analyze historical shooting conditions to analyze the distribution range of screen evaluation indicators, and preliminarily formulate initial evaluation standards through this distribution range; the index verification and threshold determination module can be used to execute the above step S13 to determine the target evaluation standards for each screen evaluation indicator, that is, the algorithm can be used to simulate the potential screen defects in virtual shooting, set the scene scenery, lighting, etc. to simulate the real shooting scene, and set the LED screen, camera and other equipment as required (such as: brightness setting, image quality engine switch, shutter adaptation, etc.), and then Then, the indicators and thresholds (i.e., the target evaluation criteria for screen evaluation indicators) are determined by screening and verifying the UE project (i.e., virtual assets), which is equivalent to judging the threshold feedback of each indicator on the screen through the virtual assets to determine the target evaluation criteria for the screen evaluation indicators; the evaluation tool can be used to execute the above-mentioned screen evaluation method, that is, the setting and content of the LED screen to be evaluated can be performed according to the corresponding screen configuration information, and then the color can be collected through instruments such as color analysis, and finally an evaluation report can be generated through data analysis to inform the user of the evaluation results of the LED screen (i.e., the indicator status of various screen evaluation indicators) and whether it is suitable for virtual shooting; the evaluation report module can give a score value of 1-5 points through the description of the evaluation tool for the collection and data analysis of each indicator, with 1 point being the lowest score and 5 points being the highest score, so as to use the score value to indicate the usability of the currently evaluated LED screen for virtual shooting.
[0074] In practical applications, the indicator verification and threshold determination module can design corresponding test processes (or test cases) for different screen evaluation indicators, and combine the results of human subjective evaluation to determine the target evaluation standards for different screen evaluation indicators. For example, different screen defects can be simulated on a reference screen (that is, a screen that is suitable for virtual shooting scenes and has no screen defects), and then a preliminary judgment is made as to whether the screen image obtained according to the test process is consistent with the subjective feeling to determine whether the test process is effective. Then, communication can be conducted with relevant personnel to formulate a subjective evaluation plan. After the test process is confirmed to be effective, virtual assets can be simulated on the reference screen and professionals can be invited to conduct subjective evaluations to determine two sets of target evaluation standards. One set can be the standard for high-end screens, and the main evaluation standard is subjective indifference; the other set can be the standard for low-end screens, and the main evaluation standard is subjective acceptability. Evaluation standards can be formulated based on the results of subjective evaluations, and the test process can be integrated and improved, and automated test scripts can be released to realize automated specified test processes. Exemplarily, an algorithm and a test process are developed to calculate the uniformity of the screen by analyzing the grayscale image of the screen captured by a camera; by simulating the unevenness between the various LED boxes of the LED screen, various intensities and types of uneven defect display effects are displayed on a uniform reference screen and the developed test process is preliminarily verified; the simulated uneven defect display effects of different intensities are applied to actual virtual assets, and the virtual assets with defect display effects are put on the screen and the screen image data is collected using a camera; the captured screen image data is processed and the evaluation results of professionals are collected using the MOS (Mean opinion score) and FCPC (Force Choice Paired Comparison) methods; the highest target evaluation standard and the lowest target evaluation standard applicable to the virtual shooting scene are analyzed based on the evaluation data; then the algorithm, the test script and the evaluation standard can be integrated into the evaluation tool, so as to use the evaluation tool to execute the screen evaluation method to realize the evaluation of whether the screen is suitable for virtual shooting.
[0075] In the prior art, verification can only be performed through the indicators provided by the manufacturer of the LED screen, and on-screen verification can be performed by experienced relevant personnel through historically accumulated shooting assets. The above-mentioned evaluation system provided by the embodiment of the present disclosure can be analyzed and verified through shooting experience, historical virtual assets, evaluation indicators provided by screen manufacturers, etc., and after data collection through corresponding tools, it is analyzed and judged whether the screen meets the virtual shooting requirements, and an evaluation report is generated. It is based on the business needs of virtual shooting by determining indicators and evaluation standards, a complete tool chain, etc. to realize a set of screen evaluation systems for virtual shooting. Through on-site shooting experience, asset accumulation, indicators provided by screen manufacturers, etc., a set of methods for selecting, verifying and finally determining evaluation standards for virtual shooting LED indicators is formed. Through the evaluation tool, the upstream and downstream tool chains such as LED settings and data collection are connected, the data collection and analysis process is completed, and the corresponding evaluation report is finally generated, which greatly simplifies the evaluation process and ease of use.
[0076] Figure 4 A block diagram of a device for determining a screen evaluation standard according to an embodiment of the present disclosure is shown as follows: Figure 4 As shown, the device comprises:
[0077] An acquisition module 401 is used to acquire multiple groups of historical shooting conditions of a virtual shooting scene, where a single group of historical shooting conditions includes at least one of camera configuration information, screen configuration information, and lighting configuration information used in the virtual shooting scene;
[0078] A determination module 402 is used to determine, based on the multiple groups of historical shooting conditions, an initial evaluation standard of at least one screen evaluation index adapted to the virtual shooting scene, wherein the screen evaluation index is used to evaluate the display effect of the screen, and the initial evaluation standard is used to indicate a condition for reaching a standard of the screen evaluation index;
[0079] The verification and optimization module 403 is used to obtain a target evaluation standard of the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator, wherein the target evaluation standard is used to indicate a target attainment condition of the screen evaluation indicator, so as to evaluate whether the screen is suitable for the virtual shooting scene using the target evaluation standard of the at least one screen evaluation indicator.
[0080] In a possible implementation, determining an initial evaluation standard for at least one screen evaluation indicator adapted to the virtual shooting scene based on the multiple sets of historical shooting conditions includes: determining a distribution range corresponding to each of the various screen evaluation indicators based on the multiple sets of historical shooting conditions; and determining an initial evaluation standard corresponding to each of the various screen evaluation indicators based on the distribution range corresponding to each of the various screen evaluation indicators.
[0081] In a possible implementation, the obtaining of the target evaluation standard corresponding to the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator includes: for any screen evaluation indicator, simulating a plurality of defect display effects of the screen defect indicated by the screen evaluation indicator, and synthesizing the plurality of defect display effects onto a preset picture to obtain a plurality of defect pictures, wherein the severity of the screen defect represented by different defect display effects is different; displaying various defect pictures on a reference screen, and using a data acquisition device to collect screen data and screen pictures when the reference screen displays the various defect pictures, wherein the screen data includes at least one of color and brightness, the environment in which the reference screen is located is the same as the real shooting environment of the virtual shooting scene, and the reference screen has screen configuration information specified by the virtual shooting scene; based on the screen data and screen pictures corresponding to the various defect pictures, verifying whether the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard of the screen evaluation indicator meets the specified picture requirement of the virtual shooting scene; in the case where the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard does not meet the specified picture requirement, optimizing the initial evaluation standard of the screen evaluation indicator to obtain the target evaluation standard corresponding to the screen evaluation indicator.
[0082] In a possible implementation, the obtaining of multiple sets of historical shooting conditions for the virtual shooting scene includes: obtaining multiple virtual assets historically used in the virtual shooting scene and multiple real-scene pictures shot, and determining the multiple sets of historical shooting conditions for the virtual shooting scene by analyzing the multiple virtual assets and the multiple real-scene pictures; wherein the camera configuration information includes: at least one of the aperture, shutter, focal length, and white balance of the camera used in the virtual shooting scene; the screen configuration information includes: at least one of the brightness, color gamut, and refresh rate of the screen used in the virtual shooting scene; the lighting configuration information includes: at least one of the light source information of the virtual light source and the light source information of the physical light source in the virtual assets used in the virtual shooting scene; the light source information includes the arrangement and brightness of the light sources.
[0083] In a possible implementation, the screen evaluation index includes at least one of the following: a screen brightness range index, a screen uniformity index, a screen brightness continuity index, a screen color gamut range index, and a screen color accuracy index.
[0084] According to the evaluation standard determination device of the embodiment of the present disclosure, by obtaining multiple groups of historical shooting conditions of the virtual shooting scene, the initial evaluation standard of the screen evaluation index adapted to the virtual shooting scene is determined, and then the initial evaluation standard is verified and optimized. A more accurate target evaluation standard adapted to the virtual shooting scene can be obtained, so that the target evaluation standard can be used to efficiently and accurately determine whether the screen to be evaluated is suitable for virtual shooting.
[0085] Based on the above evaluation method, the embodiment of the present disclosure further provides a screen evaluation device, which includes: a control module, which is used to control the target screen to be evaluated to reach the preset screen configuration information, and control the target screen to display a reference picture, wherein the reference picture includes pictures of multiple colors;
[0086] A collection module, used for collecting screen data when the target screen displays the reference picture by using a data collection device, wherein the screen data includes at least one of color and brightness;
[0087] A judgment module is used to judge whether the display effect of the target screen meets the target evaluation standard of at least one screen evaluation indicator based on the screen data, and obtain an evaluation result of the target screen, wherein the evaluation result is used to indicate whether the display effect of the target screen meets the target evaluation standards of various screen evaluation indicators, and the target evaluation standard corresponding to the at least one screen evaluation indicator is determined using the determination method.
[0088] In a possible implementation, the device further includes: an availability determination module, configured to determine the availability of the target screen for virtual shooting according to the evaluation result of the target screen, wherein the availability is used to indicate whether the target screen is suitable for the virtual shooting scene.
[0089] According to the evaluation device of the embodiment of the present disclosure, it is possible to efficiently and accurately determine whether the target screen to be evaluated is suitable for virtual shooting by using the target evaluation standard of at least one screen evaluation index.
[0090] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.
[0091] The embodiment of the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored, and the computer program instructions implement the above method when executed by a processor. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.
[0092] An embodiment of the present disclosure further proposes an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.
[0093] The embodiments of the present disclosure also provide a computer program product, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.
[0094] Figure 5 1 is a block diagram of an electronic device 1900 according to an embodiment of the present disclosure. For example, the electronic device 1900 may be provided as a server or a terminal device. Figure 5 , the electronic device 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions executable by the processing component 1922, such as an application. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.
[0095] The electronic device 1900 may also include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output interface 1958 (I / O interface). The electronic device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server 2003. TM , Mac OS X TM , Unix TM ,Linux TM , FreeBSD TM or similar.
[0096] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the electronic device 1900 to perform the above method.
[0097] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.
[0098] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.
[0099] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.
[0100] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.
[0101] Various aspects of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.
[0102] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.
[0103] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.
[0104] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.
[0105] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.
Claims
1. A method for determining a screen evaluation standard, characterized in that: include: Acquire multiple sets of historical shooting conditions for the virtual shooting scene, where a single set of historical shooting conditions includes at least one of camera configuration information, screen configuration information, and lighting configuration information used in the virtual shooting scene; Based on the multiple groups of historical shooting conditions, determining an initial evaluation standard of at least one screen evaluation index adapted to the virtual shooting scene, the screen evaluation index being used to evaluate the display effect of the screen, and the initial evaluation standard being used to indicate a condition for meeting the standard of the screen evaluation index; By verifying and optimizing the initial evaluation criteria of the at least one screen evaluation indicator, a target evaluation criteria of the at least one screen evaluation indicator is obtained, and the target evaluation criteria is used to indicate the target attainment condition of the screen evaluation indicator, so as to use the target evaluation criteria of the at least one screen evaluation indicator to evaluate whether the screen is suitable for the virtual shooting scene.
2. The method according to claim 1, characterized in that The determining, based on the multiple groups of historical shooting conditions, an initial evaluation standard of at least one screen evaluation index adapted to the virtual shooting scene comprises: Based on the multiple groups of historical shooting conditions, determining distribution ranges corresponding to various screen evaluation indicators; Based on the distribution ranges corresponding to the various screen evaluation indicators, initial evaluation criteria corresponding to the various screen evaluation indicators are determined.
3. The method according to claim 1, characterized in that The step of verifying and optimizing the initial evaluation criteria of the at least one screen evaluation indicator to obtain a target evaluation criteria corresponding to the at least one screen evaluation indicator includes: For any screen evaluation index, multiple defect display effects of the screen defects indicated by the screen evaluation index are simulated, and the multiple defect display effects are synthesized onto a preset screen to obtain multiple defect screens, where different defect display effects represent different degrees of severity of the screen defects; Displaying various defective images on a reference screen, and using a data acquisition device to acquire screen data and screen images when the reference screen displays the various defective images, wherein the screen data includes at least one of color and brightness, the environment in which the reference screen is located is the same as the real shooting environment of the virtual shooting scene, and the reference screen has screen configuration information specified by the virtual shooting scene; Based on the screen data and screen pictures corresponding to the various defective pictures, verify whether the picture display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard of the screen evaluation index meets the specified picture requirements of the virtual shooting scene; When the screen display effect of the screen picture corresponding to the screen data that meets the initial evaluation standard does not meet the specified picture requirement, the initial evaluation standard of the screen evaluation index is optimized to obtain the target evaluation standard corresponding to the screen evaluation index.
4. The method according to claim 1, characterized in that: The step of obtaining multiple sets of historical shooting conditions for a virtual shooting scene includes: Acquire multiple virtual assets and multiple real scene images that were historically used in the virtual shooting scene, and determine multiple groups of historical shooting conditions for the virtual shooting scene by analyzing the multiple virtual assets and the multiple real scene images; The camera configuration information includes: at least one of the aperture, shutter, focal length, and white balance of the camera used in the virtual shooting scene; The screen configuration information includes: at least one of brightness, color gamut, and refresh rate of the screen used in the virtual shooting scene; The lighting configuration information includes: at least one of light source information of a virtual light source in a virtual asset used in a virtual shooting scene and light source information of a physical light source; the light source information includes the arrangement and brightness of the light source.
5. The method according to any one of claims 1 to 4, characterized in that: The screen evaluation index includes at least one of the following: a screen brightness range index, a screen uniformity index, a screen brightness continuity index, a screen color gamut range index, and a screen color accuracy index.
6. A screen evaluation method, characterized in that: include: Controlling the target screen to be evaluated to reach preset screen configuration information, and controlling the target screen to display a reference picture, wherein the reference picture includes pictures of multiple colors; Using a data acquisition device to acquire screen data when the target screen displays the reference picture, the screen data including at least one of color and brightness; According to the screen data, it is determined whether the display effect of the target screen meets the target evaluation standard of at least one screen evaluation indicator, and an evaluation result of the target screen is obtained, wherein the evaluation result is used to indicate whether the display effect of the target screen meets the target evaluation standards of various screen evaluation indicators, and the target evaluation standard corresponding to the at least one screen evaluation indicator is determined by using the determination method described in any one of claims 1 to 5.
7. The evaluation method according to claim 6, characterized in that: The method further comprises: According to the evaluation result of the target screen, the availability of the target screen for virtual shooting is determined, and the availability is used to indicate whether the target screen is suitable for the virtual shooting scene.
8. A device for determining screen evaluation standards, characterized in that: include: An acquisition module, used to acquire multiple groups of historical shooting conditions of a virtual shooting scene, where a single group of historical shooting conditions includes at least one of camera configuration information, screen configuration information, and lighting configuration information used in the virtual shooting scene; A determination module, configured to determine, based on the multiple groups of historical shooting conditions, an initial evaluation standard of at least one screen evaluation index adapted to the virtual shooting scene, wherein the screen evaluation index is used to evaluate the display effect of the screen, and the initial evaluation standard is used to indicate a condition for reaching a standard of the screen evaluation index; A verification and optimization module is used to obtain a target evaluation standard of the at least one screen evaluation indicator by verifying and optimizing the initial evaluation standard of the at least one screen evaluation indicator, wherein the target evaluation standard is used to indicate a target attainment condition of the screen evaluation indicator, so as to use the target evaluation standard of the at least one screen evaluation indicator to evaluate whether the screen is suitable for the virtual shooting scene.
9. A screen evaluation device, characterized in that: include: A control module, used to control the target screen to be evaluated to reach preset screen configuration information, and control the target screen to display a reference picture, wherein the reference picture includes pictures of multiple colors; A collection module, used for collecting screen data when the target screen displays the reference picture by using a data collection device, wherein the screen data includes at least one of color and brightness; A judgment module is used to judge whether the display effect of the target screen meets the target evaluation standard of at least one screen evaluation indicator based on the screen data, and obtain an evaluation result of the target screen, wherein the evaluation result is used to indicate whether the display effect of the target screen meets the target evaluation standards of various screen evaluation indicators, and the target evaluation standard corresponding to the at least one screen evaluation indicator is determined by using the determination method described in any one of claims 1 to 5.
10. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the method described in any one of claims 1 to 7 when executing the instructions stored in the memory.
11. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.
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