Visual rendering method and system for environmental art design

By providing visual rendering systems and methods in environmental art design, and using rendering strategy units and update units, the problems of large amount of rendering data and low accuracy caused by the complexity of virtual scenes are solved, achieving more efficient rendering effects and stronger scene reality.

CN120107446AInactive Publication Date: 2025-06-06JINING POLYTECHNIC
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Patent Information

Application Number
CN202510251178.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-06-06
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In environmental art design, the complexity of virtual scenes leads to a huge amount of rendering data, making it difficult for renderers to view information intuitively, comprehensively and efficiently, thus affecting the rendering accuracy.

Method used

A visual rendering system and method are provided, including a rendering policy unit and an update unit. By identifying the rendering tags, obtaining the rendering strategy collection, and predicting the rendering effect recommendation scenes based on the rendering needs personnel's social network interest set, customizing and adjusting the rendering strategy, and guiding the rendering needs personnel to preview the updated rendering strategy.

Benefits of technology

It improves the rendering accuracy in complex virtual scenes, enhances the realism of the scene, reduces scene distortion, and allows renderers to render visual rendering more efficiently.

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Abstract

The invention relates to the technical field of data rendering, in particular to a visual rendering method and system for environmental art design, and the method comprises the steps: obtaining a rendering strategy set according to the rendering effect data of a to-be-rendered visual file associated with a rendering label when a rendering demander recognizes the rendering label on the to-be-rendered visual file; according to the rendering strategy set, a rendering demander is guided to update the rendering effect of the to-be-rendered visual file; wherein the rendering effect recommendation scene of the visual file to be rendered needs to be predicted according to the social network interest set of the rendering demand personnel; further obtaining a recommended target scene; customizing and adjusting the rendering strategy set according to the recommended target scene; and guiding a rendering demander to preview the customized and adjusted rendering strategy set. According to the method, the reality sense of the scene is stronger, the phenomenon of scene distortion occurs as much as possible, and the rendering accuracy can be improved in a huge and complex virtual scene.
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Description

Technical Field

[0001] The present application relates to the field of data rendering technology, and in particular to a visual rendering method and system for environmental art design. Background Art

[0002] With the continuous development of environmental art design, people's requirements for the authenticity and real-time rendering of virtual scenes are gradually increasing in the process of using environmental art design systems, and virtual scenes are becoming more and more complex, which means that the data required for rendering will be surprisingly large. Nowadays, with the vigorous development of the game industry, the free opening of Unreal Engine has attracted countless game developers and students to use it. Creating a realistic scene in Unreal Engine is bound to include many scenes. In order to make the scene more realistic and avoid scene distortion, the most important thing is to improve the rendering accuracy in large and complex virtual scenes.

[0003] However, the rendering of a game visual involves multiple scenes, resulting in a huge amount of information to be retrieved for rendering personnel to view. Rendering personnel are unable to efficiently view the information intuitively, comprehensively, and in a targeted manner to accurately render the game visual. Summary of the invention

[0004] To achieve the above objectives, this application provides the following technical solutions: According to a first aspect of the present invention, the present invention claims a visual rendering system for environmental art design, comprising: A rendering strategy unit, used for obtaining a rendering strategy set according to rendering effect data of the visual file to be rendered associated with the rendering tag when a rendering demand person identifies a rendering tag on the visual file to be rendered; An updating unit is used to guide rendering demand personnel to update rendering effects of visual files to be rendered according to a rendering strategy set; The updating unit guides the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set, including: According to the social network interest set of the rendering demand personnel, the rendering effect recommendation scene of the visual file to be rendered is predicted; Recommending scenes according to rendering effects of visual files to be rendered, and obtaining recommended target scenes; Customize the rendering strategy set based on the recommended target scenario; Guide rendering demand personnel to preview the customized rendering strategy set.

[0005] Furthermore, the updating unit recommends a scene according to the rendering effect of the visual file to be rendered to obtain a recommended target scene, including: Performing video frame representation on the recommended scene of the rendering effect of the visual file to be rendered, and obtaining multiple video frames; Perform frame image analysis on the correlation between metadata of each video frame and between two video frames to obtain frame image rendering features; Based on the key point response strategy associated with the frame rendering features, multiple corresponding key points are responded to in similar scenes; According to the video frame association strategy associated with the frame rendering feature, each video frame is associated with each key point accordingly; The similar scenes after associating each video frame to each key point are used as the recommended target scenes.

[0006] Furthermore, the updating unit customizes and adjusts the rendering strategy set according to the recommended target scene, including: List the key points on the recommended target scene from most to least according to the total number of associated video frames to obtain a key point set; Determine multiple partition subsets from the key point set; wherein the difference in the total number of video frames to which adjacent key points in the same partition subset are associated does not exceed a difference threshold or are associated key points in the recommended target scene; Polling each partition subset one by one, obtaining a model customization according to the video frame associated with each key point in the polled partition subset each time, and associating it with the polled partition subset; After polling each partition subset, the model customization obtained in each polling is listed according to the order of the associated partition subset in the key point set to obtain a customization set; Obtaining a customization adjustment strategy; wherein the customization adjustment strategy includes: the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the time value associated with the order of the displayed model customization in the customization set; According to the customized adjustment strategy, the rendering strategy set is customized and adjusted.

[0007] Furthermore, after the updating unit instructs the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set, it also includes: Depth Update Unit, used to: When the target content of the update message input by the rendering demand person associated with the rendering strategy set is blank, keyword decomposition is performed on the update message to obtain multiple rendering instructions; Combining the rendering instructions to obtain a plurality of keyword combinations; wherein the type distribution of the rendering instructions in the same keyword combination matches the standard type distribution, and the minimum rendering parameter amount of the rendering instructions in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold; Poll each keyword combination one by one, and in each poll, obtain a strategy according to the conditions associated with the type distribution of each rendering instruction in the polled keyword combination, obtain a rendering parameter query condition according to each rendering instruction in the polled keyword combination, and query the target rendering parameter from the rendering parameter library according to the rendering parameter query condition; After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain the combined rendering parameters; Respond to update messages based on combined rendering parameters.

[0008] Furthermore, the depth update unit performs rendering parameter combination on the target rendering parameters queried in each polling, including: Based on the multi-scale relationship between the target rendering parameters queried in each polling, an update combination model and an update guidance strategy are created; The target rendering parameters queried in each polling are associated with the update combination model; wherein, when the rendering demand personnel are guided by the update guidance strategy to update the rendering effect according to the update combination model after all the target rendering parameters are associated, the rendering demand personnel can perceive all multi-scale relationships; The updated combination model and the updated guidance strategy after associating all target rendering parameters are used as target rendering parameters.

[0009] According to a second aspect of the present invention, the present invention claims a visual rendering method for environmental art design, comprising: When the rendering demand person identifies the rendering tag on the visual file to be rendered, a rendering strategy set is obtained according to the rendering effect data of the visual file to be rendered associated with the rendering tag; According to the rendering strategy set, guide the rendering demand personnel to update the rendering effect of the visual files to be rendered; The method of guiding the rendering demand personnel to update the rendering effect of the visual file to be rendered based on the rendering strategy set includes: According to the social network interest set of the rendering demand personnel, the rendering effect recommendation scene of the visual file to be rendered is predicted; Recommending scenes according to rendering effects of visual files to be rendered, and obtaining recommended target scenes; Customize the rendering strategy set based on the recommended target scenario; Guide rendering demand personnel to preview the customized rendering strategy set.

[0010] Furthermore, the recommending scene according to the rendering effect of the visual file to be rendered to obtain the recommended target scene includes: Performing video frame representation on the recommended scene of the rendering effect of the visual file to be rendered, and obtaining multiple video frames; Perform frame image analysis on the correlation between metadata of each video frame and between two video frames to obtain frame image rendering features; Based on the key point response strategy associated with the frame rendering features, multiple corresponding key points are responded to in similar scenes; According to the video frame association strategy associated with the frame rendering feature, each video frame is associated with each key point accordingly; The similar scenes after associating each video frame to each key point are used as the recommended target scenes.

[0011] Furthermore, the customizing and adjusting the rendering strategy set according to the recommended target scene includes: List the key points on the recommended target scene from most to least according to the total number of associated video frames to obtain a key point set; Determine multiple partition subsets from the key point set; wherein the difference in the total number of video frames to which adjacent key points in the same partition subset are associated does not exceed a difference threshold or are associated key points in the recommended target scene; Polling each partition subset one by one, obtaining a model customization according to the video frame associated with each key point in the polled partition subset each time, and associating it with the polled partition subset; After polling each partition subset, the model customization obtained in each polling is listed according to the order of the associated partition subset in the key point set to obtain a customization set; Obtaining a customization adjustment strategy; wherein the customization adjustment strategy includes: the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the time value associated with the order of the displayed model customization in the customization set; According to the customized adjustment strategy, the rendering strategy set is customized and adjusted.

[0012] Furthermore, after guiding the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set, the method further includes: When the target content of the update message input by the rendering demand person associated with the rendering strategy set is blank, keyword decomposition is performed on the update message to obtain multiple rendering instructions; Combining the rendering instructions to obtain a plurality of keyword combinations; wherein the type distribution of the rendering instructions in the same keyword combination matches the standard type distribution, and the minimum rendering parameter amount of the rendering instructions in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold; Poll each keyword combination one by one, and in each poll, obtain a strategy according to the conditions associated with the type distribution of each rendering instruction in the polled keyword combination, obtain a rendering parameter query condition according to each rendering instruction in the polled keyword combination, and query the target rendering parameter from the rendering parameter library according to the rendering parameter query condition; After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain the combined rendering parameters; Respond to update messages based on combined rendering parameters.

[0013] Furthermore, the step of combining the rendering parameters of the target rendering parameters queried in each polling includes: Based on the multi-scale relationship between the target rendering parameters queried in each polling, an update combination model and an update guidance strategy are created; The target rendering parameters queried in each polling are associated with the update combination model; wherein, when the rendering demand personnel are guided by the update guidance strategy to update the rendering effect according to the update combination model after all the target rendering parameters are associated, the rendering demand personnel can perceive all multi-scale relationships; The updated combination model and the updated guidance strategy after associating all target rendering parameters are used as target rendering parameters.

[0014] The visual rendering method and system for environmental art design, when the rendering demand personnel identify the rendering tag on the visual file to be rendered, obtain the rendering strategy set according to the rendering effect data of the visual file to be rendered associated with the rendering tag; guide the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set; wherein, it is necessary to predict the recommended scene of the rendering effect of the visual file to be rendered according to the social network interest set of the rendering demand personnel; and further obtain the recommended target scene; customize and adjust the rendering strategy set according to the recommended target scene; guide the rendering demand personnel to preview the customized and adjusted rendering strategy set. The present invention makes the scene more realistic, minimizes the phenomenon of scene distortion, and can improve the rendering accuracy in large and complex virtual scenes. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A structural module diagram of a visual rendering system for environmental art design claimed in an embodiment of the present application; Figure 2 A workflow diagram of a visual rendering method for environmental art design as claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work based on the embodiments in the present application are within the scope of protection of this application.

[0017] The embodiment of the present invention provides a visual rendering system for environmental art design. Figure 1 As shown, including: A rendering strategy unit 1 is used to obtain a rendering strategy set according to rendering effect data of the visual file to be rendered associated with the rendering tag when the rendering demand person identifies the rendering tag on the visual file to be rendered; An updating unit 2 is used to guide the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set; The updating unit guides the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set, including: According to the social network interest set of the rendering demand personnel, the rendering effect recommendation scene of the visual file to be rendered is predicted; Recommending scenes according to rendering effects of visual files to be rendered, and obtaining recommended target scenes; Customize the rendering strategy set based on the recommended target scenario; Guide rendering demand personnel to preview the customized rendering strategy set.

[0018] In the above technical solution, the person who needs rendering is the consumer who purchases the visual file to be rendered; each visual file to be rendered is assigned a rendering tag when shooting, and the rendering tag is associated with the rendering effect data of the visual file to be rendered, and the rendering effect data of the visual file to be rendered includes at least: shooting location, shooting log, detection record, responsible person data, shooting date, etc.

[0019] The rendering strategy set displays the rendering effect data of the visual file to be rendered to the rendering demand personnel; therefore, the rendering demand personnel can be guided to update the rendering effect of the visual file to be rendered based on the rendering strategy set.

[0020] The social network interest set of the rendering requirement personnel at least includes: the age of the rendering requirement personnel, the visual rendering history used for environmental art design, etc.; the recommended scene of the rendering effect of the visual file to be rendered at least includes: the game progress stage and game progress conditions that may be recommended by the rendering requirement personnel that affect the rendering effect of the visual file to be rendered; the social network interest set will reflect the recommended scene of the rendering effect of the visual file to be rendered, and therefore, the latter can be predicted based on the former, for example: the visual rendering history used for environmental art design reflects that the rendering requirement personnel have historically often analyzed relevant data based on the game background film scene stage of the visual file to be rendered, then the predicted recommended scene of the rendering effect of the visual file to be rendered is the game background film scene stage, and the game progress stage that may be recommended by the rendering requirement personnel that affects the rendering effect of the visual file to be rendered.

[0021] According to the recommended scene of the rendering effect of the visual file to be rendered, a recommended target scene is obtained, and the recommended target scene is a feature representation of the recommended scene of the rendering effect of the visual file to be rendered.

[0022] The recommended target scene will reflect the rendering requirements personnel's recommendation on the recommended scene for the rendering effect of the visual file to be rendered. Therefore, the rendering strategy set can be customized and adjusted based on the recommended target scene. For example: the recommended target scene reflects that the game progress stages that may be recommended by the rendering requirements personnel to affect the rendering effect of the visual file to be rendered are the game background scene stages, then the rendering strategy set will be customized and adjusted to first display the relevant data of the visual file to be rendered in the game background scene stage, so that the rendering requirements personnel can preview it first.

[0023] After the customization and adjustment of the rendering strategy set is completed, the rendering demand personnel are guided to preview the customized and adjusted rendering strategy set.

[0024] The present application obtains a rendering strategy set based on the rendering effect data of the visual file to be rendered associated with the rendering tag, and guides the rendering demand personnel to update the rendering effect of the visual file to be rendered based on the rendering strategy set. Specifically, during the guidance, the recommended scene of the rendering effect of the visual file to be rendered is predicted based on the social network interest set of the rendering demand personnel, and the recommended target scene is obtained. Based on the recommended target scene, the rendering strategy set is customized and adjusted, and the rendering demand personnel are guided to preview the customized and adjusted rendering strategy set. Under the guidance, the rendering demand personnel can intuitively, comprehensively, and purposefully preview the data efficiently to perform visual rendering for environmental art design.

[0025] In one embodiment, the updating unit recommends a scene according to the rendering effect of the visual file to be rendered to obtain a recommended target scene, including: Performing video frame representation on the recommended scene of the rendering effect of the visual file to be rendered, and obtaining multiple video frames; Perform frame image analysis on the correlation between metadata of each video frame and between two video frames to obtain frame image rendering features; Based on the key point response strategy associated with the frame rendering features, multiple corresponding key points are responded to in similar scenes; According to the video frame association strategy associated with the frame rendering feature, each video frame is associated with each key point accordingly; The similar scenes after associating each video frame to each key point are used as the recommended target scenes.

[0026] In the above technical solution, when representing the video frame, multiple data features of the recommended scene of the rendering effect of the visual file to be rendered are extracted, and each data feature is classified into a feature set of multiple classification categories, and each feature set is cloud represented to obtain the video frame; wherein the classification categories include at least: the same time features, the same location features, the same features related to the game background scene stage, etc.

[0027] Video frames have metadata, and metadata is the classification category of the feature set of video frames represented by the cloud; the correlation between the metadata of two video frames at least includes: the same recommendation type that can be reflected together (for example, if the classification categories are the same recommended game manufacturer data and the same recommended game processing data, then the correlation reflects the same recommendation type of game), similar trigger time, and the connection relationship between game progress stages, etc.; when performing frame graph analysis on video frames and correlation, the metadata of the video frames, the number of features in the video frames, and the correlation are represented in vector form to obtain frame graph rendering features.

[0028] There are multiple key points on similar scenes, and each key point represents a recommended point; the frame rendering feature is associated with a pre-set key point response strategy, and the key point response strategy is to respond to the key points associated with the rendering demand personnel's recommendation points reflected by the frame rendering feature, so that it waits for data association. For example: the data constructed into the frame rendering feature is the metadata of the video frame, which belongs to the same recommended game manufacturer, and the relevance reflects the same recommendation type as game, etc., which reflects that the rendering demand personnel's recommendation point is the game manufacturer of the visual file to be rendered, and the key point response strategy is to respond to the key points of the game manufacturer.

[0029] The frame image rendering feature is also associated with a pre-set video frame association strategy, which indicates how to associate the video frame with the key points, including: associating the video frame with the key points recommended by the rendering demand personnel represented by the features in the video frame. For example, the data used to construct the frame image rendering feature is the metadata of a certain video frame, which belongs to the recommended game manufacturer, etc., then the video frame association strategy is to associate the video frame with the key points of the game manufacturer.

[0030] After each video frame is associated with each key point accordingly, each video frame is associated with a similar scene after each key point is completed as a recommended target scene; in this way, the more video frames are associated with the same key point, the higher the degree of recommendation of the recommended point represented by the key point by the rendering demand personnel.

[0031] When obtaining a recommended target scene, the embodiment of the present invention introduces video frames and similar scenes, responds to corresponding key points in similar scenes based on the key point response strategy and video frame association strategy associated with frame image rendering features, and associates corresponding video frames, and associates each video frame to a similar scene after each key point is completed as a recommended target scene, so that the recommended target scene can fully reflect the recommendation of the rendering demand personnel on the recommended scene for the rendering effect of the rendered visual file, which greatly improves the suitability and accuracy of the recommended target scene and improves the applicability of the system.

[0032] In one embodiment, the updating unit customizes and adjusts the rendering strategy set according to the recommended target scene, including: List the key points on the recommended target scene from most to least according to the total number of associated video frames to obtain a key point set; Determine multiple partition subsets from the key point set; wherein the difference in the total number of video frames to which adjacent key points in the same partition subset are associated does not exceed a difference threshold or are associated key points in the recommended target scene; Polling each partition subset one by one, obtaining a model customization according to the video frame associated with each key point in the polled partition subset each time, and associating it with the polled partition subset; After polling each partition subset, the model customization obtained in each polling is listed according to the order of the associated partition subset in the key point set to obtain a customization set; Obtaining a customization adjustment strategy; wherein the customization adjustment strategy includes: the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the time value associated with the order of the displayed model customization in the customization set; According to the customized adjustment strategy, the rendering strategy set is customized and adjusted.

[0033] In the above technical scheme, the difference threshold can be 3; the more video frames associated with the same key point, the higher the degree of recommendation of the recommended point represented by the key point by the rendering demand personnel; therefore, ensuring that the difference in the total number of video frames associated with adjacent key points in the same partition subset does not exceed the difference threshold can make the degree of recommendation represented by the recommended points represented by adjacent key points in the same partition subset close to that of the rendering demand personnel, and the video frames on them are necessary for obtaining the same model customization; associated key points are pre-set on the recommended target scene, and when the key points are associated key points, it means that the recommended points represented by the key points belong to the same recommendation type, etc., for example: the recommended points represented by two key points are recommended game manufacturers, recommended game transportation data, etc., and belong to the same recommended game; therefore, ensuring that adjacent key points in the same partition subset are associated key points can also make the video frames on adjacent key points in the same partition subset necessary for obtaining the same model customization.

[0034] When the model customization is obtained, it is ensured that all features in the video frame associated with each key point in the polled partition subset can be displayed within the same model customization; after the model customization is obtained, it is associated with the polled partition subset.

[0035] When enumerating model customizations, for example, if the order of the associated partition subset in the key point set is 2, the order of the model customization in the customization set is also 2.

[0036] The duration value is negatively correlated with the order of the model customization in the customization set. The smaller the order, the closer the partition sub-set is to the customization set, and the higher the overall degree of recommendation by the rendering requirements personnel, the longer the customization retention time. In the customization adjustment strategy, the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the duration value associated with the order of the displayed model customization in the customization set.

[0037] According to the customized adjustment strategy, the rendering strategy set is customized and adjusted, and the adjusted rendering strategy set is adapted to the recommended scene of the rendering effect of the rendering visual file reflected by the rendering demand personnel as reflected by the recommended target scene.

[0038] When the embodiment of the present invention customizes and adjusts the rendering strategy set, a key point set is introduced, multiple partition subsets are determined from the key point set, and each partition subset is polled one by one. During each polling, the model customization is obtained based on the video frames associated with each key point in the polled partition subset, and a customized set is determined. A customized adjustment strategy is obtained based on the customized set, and the rendering strategy set is customized and adjusted based on the customized adjustment strategy, which greatly improves the rationality of customized adjustment of the rendering strategy set.

[0039] In one embodiment, after the updating unit instructs the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set, the updating unit further includes: Depth Update Unit, used to: When the target content of the update message input by the rendering demand person associated with the rendering strategy set is blank, keyword decomposition is performed on the update message to obtain multiple rendering instructions; Combining the rendering instructions to obtain a plurality of keyword combinations; wherein the type distribution of the rendering instructions in the same keyword combination matches the standard type distribution, and the minimum rendering parameter amount of the rendering instructions in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold; Poll each keyword combination one by one, and in each poll, obtain a strategy according to the conditions associated with the type distribution of each rendering instruction in the polled keyword combination, obtain a rendering parameter query condition according to each rendering instruction in the polled keyword combination, and query the target rendering parameter from the rendering parameter library according to the rendering parameter query condition; After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain the combined rendering parameters; Respond to update messages based on combined rendering parameters.

[0040] In the above technical solution, the rendering requirement personnel can also input an update message, and the target content associated with the message in the rendering strategy set; if the target content is blank, it means that the update has failed, and a deep update is required at this time; first, the update message is disassembled into multiple rendering instructions, and the rendering instructions include at least: message type, message content range, etc.

[0041] The type distribution of each rendering instruction in the keyword combination indicates what types of each rendering instruction there are in the keyword combination; the pre-set standard type distribution indicates the keyword types that can be used as the basis for rendering parameter query conditions at the same time, for example: the standard types are the content trigger time of the message, the content trigger location of the message, etc.; a rendering parameter association table is pre-set, and a large number of data nodes recorded by the manufacturer of the visual file to be rendered when the visual file to be rendered is progressing the game, and each data node represents a game progress event; the minimum rendering parameter amount of each rendering instruction in the rendering parameter association table is the minimum value of the rendering parameter amount of the rendering instruction in the rendering parameter association table, and the rendering parameter amount of the rendering instruction in the rendering parameter association table is the number of data nodes related to the rendering instruction in the rendering parameter association table, for example: if the rendering instruction is the content trigger location of the message is the game library, then the game progress event represented by the data node related to it is the game progress video in the game library, etc.; ensuring that the minimum rendering parameter amount of each rendering instruction in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold can enable the rendering parameter query conditions obtained according to each rendering instruction in the keyword combination to be used to query the target rendering parameters.

[0042] The type distribution of each rendering instruction in the keyword combination is associated with a conditional acquisition strategy, which indicates how to obtain the rendering parameter query conditions of the query target rendering parameters according to each rendering instruction in the keyword combination. For example: the type distribution of each rendering instruction is the content trigger time of the message and the content trigger location of the message, then the rendering parameter query condition is to query the specific data of the game progress events whose trigger time is the same or close to the content trigger time of the message, and whose trigger location is the same or close to the content trigger location of the message; the rendering parameter library is associated with the rendering parameter association table, which records the specific data of the game progress events represented by different data nodes in the rendering parameter association table.

[0043] After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain combined rendering parameters.

[0044] Finally, according to the combined rendering parameters, in response to the update message, the combined rendering parameters can be displayed to the rendering demand personnel within the rendering strategy set, so as to realize the response to the update message of the rendering demand personnel.

[0045] When the rendering strategy set cannot meet the update message of the rendering demand personnel, the present application performs a deep update and introduces a keyword combination. The rendering parameter query condition is obtained based on the keyword combination, and the target rendering parameters are queried from the rendering parameter library based on the rendering parameter query condition. After polling each keyword combination, the rendering parameter combination is performed on the target rendering parameters queried in each polling, and the update message is responded to based on the combined rendering parameters, which greatly improves the experience of the rendering demand personnel and further improves the applicability of the system.

[0046] In one embodiment, the depth update unit performs rendering parameter combination on the target rendering parameters queried in each polling, including: Based on the multi-scale relationship between the target rendering parameters queried in each polling, an update combination model and an update guidance strategy are created; The target rendering parameters queried in each polling are associated with the update combination model; wherein, when the rendering demand personnel are guided by the update guidance strategy to update the rendering effect according to the update combination model after all the target rendering parameters are associated, the rendering demand personnel can perceive all multi-scale relationships; The updated combination model and the updated guidance strategy after associating all target rendering parameters are used as target rendering parameters.

[0047] In the above technical solution, the multi-scale relationship at least includes: the trigger time relationship and the trigger location relationship of the game progress event in the target rendering parameter; based on the multi-scale relationship, an update combination model and an update guidance strategy are created; the update combination model is a template model that can display the target rendering parameter by a rendering strategy, for example: the target rendering parameter is a video interest set in the game library, then there is an associated area in the template model for associating the video interest set in the game library, and the associated area can be a three-dimensional model of the game library; the update guidance strategy is a strategy for guiding the rendering demand personnel to preview the update combination model, which constrains the order in which the rendering demand personnel preview different contents in the update combination model in sequence during guidance, etc.; The target rendering parameters queried during each polling are associated with the update combination model. When associating, the corresponding associated area is found in the update combination model according to the trigger time and trigger location of the target rendering parameters, and the association is performed; when guiding the rendering requirement personnel to update the rendering effect according to the update combination model after all target rendering parameters are associated according to the update guidance strategy, the rendering requirement personnel can perceive all multi-scale relationships; finally, the update combination model after all target rendering parameters are associated and the update guidance strategy are used as the target rendering parameters; when using the target rendering parameters, according to the update guidance strategy, guide the rendering requirement personnel to preview the update combination model after all target rendering parameters are associated.

[0048] The embodiment of the present invention provides a visual rendering method for environmental art design. Figure 2As shown, including: S1. When a rendering demand person identifies a rendering tag on a visual file to be rendered, a rendering strategy set is obtained according to rendering effect data of the visual file to be rendered associated with the rendering tag; S2. Based on the rendering strategy set, guide the rendering demand personnel to update the rendering effect of the rendered visual file; The method of guiding the rendering demand personnel to update the rendering effect of the visual file to be rendered based on the rendering strategy set includes: According to the social network interest set of the rendering demand personnel, the rendering effect recommendation scene of the visual file to be rendered is predicted; Recommending scenes according to rendering effects of visual files to be rendered, and obtaining recommended target scenes; Customize the rendering strategy set based on the recommended target scenario; Guide rendering demand personnel to preview the customized rendering strategy set.

[0049] The method of recommending a scene according to the rendering effect of the visual file to be rendered to obtain a recommended target scene includes: Performing video frame representation on the recommended scene of the rendering effect of the visual file to be rendered, and obtaining multiple video frames; Perform frame image analysis on the correlation between metadata of each video frame and between two video frames to obtain frame image rendering features; Based on the key point response strategy associated with the frame rendering features, multiple corresponding key points are responded to in similar scenes; According to the video frame association strategy associated with the frame rendering feature, each video frame is associated with each key point accordingly; The similar scenes after associating each video frame to each key point are used as the recommended target scenes.

[0050] The customizing and adjusting the rendering strategy set according to the recommended target scenario includes: List the key points on the recommended target scene from most to least according to the total number of associated video frames to obtain a key point set; Determine multiple partition subsets from the key point set; wherein the difference in the total number of video frames to which adjacent key points in the same partition subset are associated does not exceed a difference threshold or are associated key points in the recommended target scene; Polling each partition subset one by one, obtaining a model customization according to the video frame associated with each key point in the polled partition subset each time, and associating it with the polled partition subset; After polling each partition subset, the model customization obtained in each polling is listed according to the order of the associated partition subset in the key point set to obtain a customization set; Obtaining a customization adjustment strategy; wherein the customization adjustment strategy includes: the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the time value associated with the order of the displayed model customization in the customization set; According to the customized adjustment strategy, the rendering strategy set is customized and adjusted.

[0051] After guiding the rendering demand personnel to update the rendering effect of the rendered visual file according to the rendering strategy set, the method further includes: When the target content of the update message input by the rendering demand person associated with the rendering strategy set is blank, keyword decomposition is performed on the update message to obtain multiple rendering instructions; Combining the rendering instructions to obtain a plurality of keyword combinations; wherein the type distribution of the rendering instructions in the same keyword combination matches the standard type distribution, and the minimum rendering parameter amount of the rendering instructions in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold; Poll each keyword combination one by one, and in each poll, obtain a strategy according to the conditions associated with the type distribution of each rendering instruction in the polled keyword combination, obtain a rendering parameter query condition according to each rendering instruction in the polled keyword combination, and query the target rendering parameter from the rendering parameter library according to the rendering parameter query condition; After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain the combined rendering parameters; Respond to update messages based on combined rendering parameters.

[0052] The step of combining the rendering parameters of the target rendering parameters queried during each polling includes: Based on the multi-scale relationship between the target rendering parameters queried in each polling, an update combination model and an update guidance strategy are created; The target rendering parameters queried in each polling are associated with the update combination model; wherein, when the rendering demand personnel are guided by the update guidance strategy to update the rendering effect according to the update combination model after all the target rendering parameters are associated, the rendering demand personnel can perceive all multi-scale relationships; The updated combination model and the updated guidance strategy after associating all target rendering parameters are used as target rendering parameters.

[0053] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A visual rendering system for environmental art design, characterized in that: include: A rendering strategy unit, used for obtaining a rendering strategy set according to rendering effect data of the visual file to be rendered associated with the rendering tag when a rendering demand person identifies a rendering tag on the visual file to be rendered; An updating unit is used to guide rendering demand personnel to update rendering effects of visual files to be rendered according to a rendering strategy set; The updating unit guides the rendering demand personnel to update the rendering effect of the visual file to be rendered according to the rendering strategy set, including: According to the social network interest set of the rendering demand personnel, the rendering effect recommendation scene of the visual file to be rendered is predicted; Recommending scenes according to rendering effects of visual files to be rendered, and obtaining recommended target scenes; Customize the rendering strategy set based on the recommended target scenario; Guide rendering demand personnel to preview the customized rendering strategy set.

2. The visual rendering system for environmental art design according to claim 1, characterized in that: The updating unit recommends a scene according to the rendering effect of the visual file to be rendered, and obtains a recommended target scene, including: Performing video frame representation on the recommended scene of the rendering effect of the visual file to be rendered, and obtaining multiple video frames; Perform frame image analysis on the correlation between metadata of each video frame and between two video frames to obtain frame image rendering features; Based on the key point response strategy associated with the frame rendering features, multiple corresponding key points are responded to in similar scenes; According to the video frame association strategy associated with the frame rendering feature, each video frame is associated with each key point accordingly; The similar scenes after associating each video frame to each key point are used as the recommended target scenes.

3. The visual rendering system for environmental art design according to claim 1, characterized in that: The updating unit customizes and adjusts the rendering strategy set according to the recommended target scene, including: List the key points on the recommended target scene from most to least according to the total number of associated video frames to obtain a key point set; Determine multiple partition subsets from the key point set; wherein the difference in the total number of video frames to which adjacent key points in the same partition subset are associated does not exceed a difference threshold or are associated key points in the recommended target scene; Polling each partition subset one by one, obtaining a model customization according to the video frame associated with each key point in the polled partition subset each time, and associating it with the polled partition subset; After polling each partition subset, the model customization obtained in each polling is listed according to the order of the associated partition subset in the key point set to obtain a customization set; Obtaining a customization adjustment strategy; wherein the customization adjustment strategy includes: the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the time value associated with the order of the displayed model customization in the customization set; According to the customized adjustment strategy, the rendering strategy set is customized and adjusted.

4. The visual rendering system for environmental art design according to claim 1, characterized in that: After the updating unit instructs the rendering demand personnel to update the rendering effect of the rendered visual file according to the rendering strategy set, the updating unit further includes: Depth Update Unit, used to: When the target content of the update message input by the rendering demand person associated with the rendering strategy set is blank, keyword decomposition is performed on the update message to obtain multiple rendering instructions; Combining the rendering instructions to obtain a plurality of keyword combinations; wherein the type distribution of the rendering instructions in the same keyword combination matches the standard type distribution, and the minimum rendering parameter amount of the rendering instructions in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold; Poll each keyword combination one by one, and in each poll, obtain a strategy according to the conditions associated with the type distribution of each rendering instruction in the polled keyword combination, obtain a rendering parameter query condition according to each rendering instruction in the polled keyword combination, and query the target rendering parameter from the rendering parameter library according to the rendering parameter query condition; After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain the combined rendering parameters; Respond to update messages based on combined rendering parameters.

5. The visual rendering system for environmental art design according to claim 4, characterized in that: The depth update unit performs rendering parameter combination on the target rendering parameters queried in each polling, including: Based on the multi-scale relationship between the target rendering parameters queried in each polling, an update combination model and an update guidance strategy are created; The target rendering parameters queried in each polling are associated with the update combination model; wherein, when the rendering demand personnel are guided by the update guidance strategy to update the rendering effect according to the update combination model after all the target rendering parameters are associated, the rendering demand personnel can perceive all multi-scale relationships; The updated combination model and the updated guidance strategy after associating all target rendering parameters are used as target rendering parameters.

6. A visual rendering method for environmental art design, using the visual rendering system for environmental art design as claimed in claim 1, characterized in that: include: When the rendering demand person identifies the rendering tag on the visual file to be rendered, a rendering strategy set is obtained according to the rendering effect data of the visual file to be rendered associated with the rendering tag; According to the rendering strategy set, guide the rendering demand personnel to update the rendering effect of the visual files to be rendered; The method of guiding the rendering demand personnel to update the rendering effect of the visual file to be rendered based on the rendering strategy set includes: According to the social network interest set of the rendering demand personnel, the rendering effect recommendation scene of the visual file to be rendered is predicted; Recommending scenes according to rendering effects of visual files to be rendered, and obtaining recommended target scenes; Customize the rendering strategy set based on the recommended target scenario; Guide rendering demand personnel to preview the customized rendering strategy set.

7. The visual rendering method for environmental art design according to claim 6, characterized in that: The method of recommending a scene according to the rendering effect of the visual file to be rendered to obtain a recommended target scene includes: Performing video frame representation on the recommended scene of the rendering effect of the visual file to be rendered, and obtaining multiple video frames; Perform frame image analysis on the correlation between metadata of each video frame and between two video frames to obtain frame image rendering features; Based on the key point response strategy associated with the frame rendering features, multiple corresponding key points are responded to in similar scenes; According to the video frame association strategy associated with the frame rendering feature, each video frame is associated with each key point accordingly; The similar scenes after associating each video frame to each key point are used as the recommended target scenes.

8. The visual rendering method for environmental art design according to claim 6, characterized in that: The customizing and adjusting the rendering strategy set according to the recommended target scenario includes: List the key points on the recommended target scene from most to least according to the total number of associated video frames to obtain a key point set; Determine multiple partition subsets from the key point set; wherein the difference in the total number of video frames to which adjacent key points in the same partition subset are associated does not exceed a difference threshold or are associated key points in the recommended target scene; Polling each partition subset one by one, obtaining a model customization according to the video frame associated with each key point in the polled partition subset each time, and associating it with the polled partition subset; After polling each partition subset, the model customization obtained in each polling is listed according to the order of the associated partition subset in the key point set to obtain a customization set; Obtaining a customization adjustment strategy; wherein the customization adjustment strategy includes: the rendering strategy set displays the model customizations in the customization set one by one according to the set order, and the retention time of each display is the time value associated with the order of the displayed model customization in the customization set; According to the customized adjustment strategy, the rendering strategy set is customized and adjusted.

9. The visual rendering method for environmental art design according to claim 6, characterized in that: After guiding the rendering demand personnel to update the rendering effect of the rendered visual file according to the rendering strategy set, the method further includes: When the target content of the update message input by the rendering demand person associated with the rendering strategy set is blank, keyword decomposition is performed on the update message to obtain multiple rendering instructions; Combining the rendering instructions to obtain a plurality of keyword combinations; wherein the type distribution of the rendering instructions in the same keyword combination matches the standard type distribution, and the minimum rendering parameter amount of the rendering instructions in the same keyword combination in the rendering parameter association table exceeds the rendering parameter amount threshold; Poll each keyword combination one by one, and in each poll, obtain a strategy according to the conditions associated with the type distribution of each rendering instruction in the polled keyword combination, obtain a rendering parameter query condition according to each rendering instruction in the polled keyword combination, and query the target rendering parameter from the rendering parameter library according to the rendering parameter query condition; After polling each keyword combination, the target rendering parameters queried in each polling are combined to obtain the combined rendering parameters; Respond to update messages based on combined rendering parameters.

10. The visual rendering method for environmental art design according to claim 9, characterized in that: The step of combining the rendering parameters of the target rendering parameters queried during each polling includes: Based on the multi-scale relationship between the target rendering parameters queried in each polling, an update combination model and an update guidance strategy are created; The target rendering parameters queried in each polling are associated with the update combination model; wherein, when the rendering demand personnel are guided by the update guidance strategy to update the rendering effect according to the update combination model after all the target rendering parameters are associated, the rendering demand personnel can perceive all multi-scale relationships; The updated combination model and the updated guidance strategy after associating all target rendering parameters are used as target rendering parameters.

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