A special effect auditing task flow management method and system

Abstract

This invention relates to the field of special effects review task process management technology, specifically disclosing a special effects review task process management method and system. By preprocessing special effects project files to obtain key modification data, and using this data to match a simplified review model to construct a virtual review scenario, reviewers can efficiently review key modification points in the virtual scenario. This solves the problems of low review efficiency and wasted time on file loading and unnecessary reviews when reviewers face a large number of complex special effects tasks in the prior art, greatly shortening the review time and aiming to improve the efficiency of special effects review and reduce the risk of project delays.

Description

Technical Field

[0001] This application relates to the field of special effects review task process management technology, and more specifically, to a special effects review task process management method and system. Background Technology

[0002] In large-scale visual projects such as film, television, and games, the production and review of special effects shots is a complex and time-consuming process. To ensure on-time delivery and quality, a workflow management system is typically used to coordinate and handle a large number of special effects tasks. However, existing management methods often reveal inefficiencies when dealing with certain types of complex tasks, especially when reviewers need to conduct in-depth reviews of tasks but lack sufficient prior information to effectively plan their work. This information asymmetry makes it difficult for reviewers to estimate the actual time and complexity of each task when faced with a large volume of work, resulting in wasted time and delays in the overall project schedule.

[0003] There is currently no effective technical solution to the above problems. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for managing special effects review tasks, which aims to solve the problem of low review efficiency in the existing special effects review process.

[0005] To achieve the above objectives, the technical solutions of the present invention are as follows:

[0006] As one aspect of this application, a method for managing special effects review task workflows is provided, applied to a special effects review task workflow management client, wherein the special effects review task workflow management client is used to display a special effects review task page, and the method includes the following steps:

[0007] The special effects project file input into the special effects review task workflow management client is preprocessed to obtain key modification data, wherein the key modification data contains multiple data modification items;

[0008] Based on the key modification data, the corresponding simplified review model is matched from the pre-set prior knowledge base with multiple simplified review models, and a virtual review scenario is constructed in combination with the corresponding simplified review model so that the reviewers can review the current key modification data in the virtual review scenario. The changes indicated by each data modification are presented in the virtual review scenario.

[0009] In a virtual review scenario, review results are output based on the reviewers' review, and decisions are made on the special effects engineering documents to be reviewed based on the review results.

[0010] Furthermore, the step of preprocessing the special effects project file input into the special effects review task workflow management client to obtain key modification data specifically includes:

[0011] Get the currently submitted special effects project file and the special effects project file of the previous version corresponding to this special effects project file;

[0012] The current effects project file and the previous version of the effects project file are parsed, and the core nodes and attribute values ​​of the current effects project file and the previous version of the effects project file are extracted.

[0013] The key modification data is obtained by comparing the core nodes and attribute values ​​of the special effects project file with the previous version of the special effects project file;

[0014] Associate key modification data with the current special effects project file and store it in a structured manner.

[0015] Furthermore, the core nodes include one or more of the following: light nodes, camera nodes, geometry nodes, particle system nodes, and fluid simulation nodes;

[0016] The attribute values ​​include one or more of the following: light color, light intensity, light position, number of particle systems, particle system size, particle system lifespan, fluid simulation resolution, fluid simulation density, fluid simulation speed, and geometry transformation path.

[0017] Furthermore, the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model, so that the reviewer can review the current key modification data in the virtual review scenario, specifically includes:

[0018] Obtain the key modification data of the current special effects project file, and extract the core nodes and attribute values ​​contained in each data modification item from the key modification data;

[0019] Based on the core nodes contained in each data modification item, the corresponding simplified review model is obtained by matching from a prior knowledge base with multiple simplified review models;

[0020] Based on the attribute values ​​of each data modification item and the matching simplified review model, a virtual review scenario is constructed in the special effects review task workflow management client, and the core nodes and attribute values ​​of the data modification items are presented in the virtual review scenario;

[0021] In a virtual review scenario, auditors review the current key modified data.

[0022] Furthermore, in the process of constructing a virtual review scenario in the special effects review task workflow management client based on the attribute values ​​of each data modification item and the matching simplified review model, and presenting the core nodes and attribute values ​​of the data modification items in the virtual review scenario, the construction of the virtual review scenario also includes:

[0023] The set review period for each data modification item is obtained by matching the core nodes of each data modification item from the prior knowledge base with special effects review cycle benchmark.

[0024] The review period for each data modification item is set in order of length.

[0025] A virtual review scenario is constructed in the special effects review task workflow management client by combining the sorted data modification items in ascending order with a simplified review model.

[0026] Furthermore, before the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model so that the reviewer can review the current key modification data in the virtual review scenario, the method further includes:

[0027] Upon receiving critical modification data, the critical modification data is analyzed and key interaction areas associated with the modified data items are identified;

[0028] For each identified key interaction area, scene data related to the key interaction area is extracted from the special effects project file;

[0029] Multi-frame high-fidelity rendering is performed on the scene data related to the key interaction area to generate dynamic visual slices;

[0030] The dynamic visual slices are associated with and stored with the corresponding modified data items.

[0031] Furthermore, the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model, so that the reviewer can review the current key modification data in the virtual review scenario, also includes:

[0032] In a virtual review environment, the dynamic visual slices are presented in a picture-in-picture or overlay manner, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing the dynamic visual slices.

[0033] Furthermore, in a virtual review environment, the dynamic visual slices are presented through picture-in-picture or overlay display, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing them with the dynamic visual slices. This process specifically includes:

[0034] Based on the keyframe information of the dynamic visual slice, mark the corresponding keyframes in the corresponding virtual review scene;

[0035] When the reviewer adjusts the perspective of the virtual review scene, the perspective of the dynamic visual slice is adjusted simultaneously, and the core nodes of the dynamic visual slice and the virtual review scene in the data modification items are highlighted.

[0036] Furthermore, the steps of outputting review results based on the reviewers' review in a virtual review scenario, and making decision-making outputs for the special effects engineering documents to be reviewed based on the review results, specifically include:

[0037] Record the time the reviewer spends in a virtual review scenario, the adjusted parameter values, and the judgment results made;

[0038] The review results are output by associating the dwell time, adjusted parameter values, and judgment results with the currently reviewed special effects project files.

[0039] Based on the review results, make decisions regarding the special effects engineering documents to be reviewed.

[0040] As a second aspect of this application, a special effects review task workflow management system includes:

[0041] The data processing and acquisition module is used to preprocess the special effects project file input to the special effects review task process management client to obtain key modification data, wherein the key modification data includes multiple data modification items.

[0042] The model building and review module is used to match the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and to build a virtual review scenario in combination with the corresponding simplified review model, so that the reviewers can review the current key modification data in the virtual review scenario, wherein the changes indicated by each data modification are presented in the virtual review scenario.

[0043] The review result and decision output module is used to output review results based on the reviewer's review in a virtual review scenario, and to make decision outputs on the special effects engineering documents to be reviewed based on the review results.

[0044] As described above, this application provides a special effects review task workflow management method. By preprocessing special effects project files to obtain key modification data, and then using this data to match a simplified review model to construct a virtual review scenario, reviewers can efficiently review key modifications within the virtual scenario. This method effectively solves the problems of low review efficiency and wasted time on file loading and unnecessary reviews when reviewers face a large number of complex special effects tasks in existing technologies. Specifically, by identifying and presenting key modification data, reviewers can quickly understand the specific changes in this submission without loading the entire large project file. The introduction of the virtual review scenario allows reviewers to focus on core modifications, avoiding repeated reviews of unmodified parts and significantly shortening review time. Therefore, this application aims to improve the efficiency of special effects review and reduce the risk of project delays. Attached Figure Description

[0045] Figure 1 A flowchart of a special effects review task process management method provided in this application embodiment;

[0046] Figure 2 A flowchart of the instruction step S1 in a special effects review task workflow management method provided in this application embodiment;

[0047] Figure 3 A flowchart illustrating the instruction step S2 in a special effects review task workflow management method provided in this application embodiment;

[0048] Figure 4 This is a system structure diagram of a special effects review task workflow management system provided in an embodiment of this application.

[0049] Attached labels: 100, Special Effects Review Task Workflow Management System; 101, Data Processing and Acquisition Module; 102, Model Building and Review Module; 103, Review Results and Decision Output Module. Detailed Implementation

[0050] To better illustrate the present invention, the invention will now be described in further detail with reference to the accompanying drawings.

[0051] It should be understood that, in order to make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0052] The following description is based on at least one specific embodiment, in which:

[0053] Firstly, such as Figure 1 As shown, a method for managing special effects review task workflows is provided, applied to a special effects review task workflow management client. The client is used to display special effects review task pages. The method includes:

[0054] Step S1: Preprocess the special effects project file input into the special effects review task process management client to obtain key modification data, wherein the key modification data contains multiple data modification items;

[0055] Step S2: Based on the key modification data, the corresponding simplified review model is matched from the preset prior knowledge base with multiple simplified review models, and a virtual review scenario is constructed in combination with the corresponding simplified review model so that the reviewers can review the current key modification data in the virtual review scenario. The changes indicated by each data modification are presented in the virtual review scenario.

[0056] Step S3: In the virtual review scenario, output the review results based on the reviewers' review, and make a decision output on the special effects engineering documents to be reviewed based on the review results.

[0057] In this embodiment, by preprocessing the special effects project files, extracting key modification data, and constructing a virtual review scenario based on this data, reviewers can conduct reviews in an efficient environment, thereby effectively solving the problem of low review efficiency in traditional methods and significantly improving the efficiency and accuracy of special effects review.

[0058] To better understand the special effects review task process management method proposed in this embodiment, it is necessary to explain some key terms involved.

[0059] In this embodiment, the special effects project file is the object of processing. It refers to the file used to store special effects-related data and settings during the production of visual content such as film, television and games. For example, it is a project file containing elements such as 3D models, animations, materials, lighting, particle systems, and fluid simulations.

[0060] Key modification data refers to the core changes extracted from different versions of a visual effects project file after preprocessing and comparative analysis. This data typically includes the core modified nodes, attribute values, and their corresponding change types. Additionally, data modification items are specific entries within the key modification data, representing modifications to a particular element in the visual effects project file, such as adjustments to light color or changes in particle count.

[0061] Simplified review models refer to review strategies or processes pre-defined in a prior knowledge base, designed for specific types of modifications or special effects engineering documents of a certain complexity. These models aim to improve review efficiency by simplifying the review environment and focusing on key information.

[0062] A virtual review scenario refers to a virtual environment built within the special effects review task workflow management client, based on key modification data and a simplified review model. In this environment, reviewers can intuitively see and interactively review key modifications to the special effects project files without having to load the entire massive project file.

[0063] The special effects review task process management method proposed in this application is based on the fact that it greatly improves the efficiency and accuracy of special effects review through intelligent data preprocessing and virtual review scenario construction.

[0064] Specifically, this method first preprocesses the VFX project files input into the VFX review task workflow management client to obtain key modification data. This key modification data includes multiple data modification items. For example, a modification log tool can be used, with VFX artists manually marking the main modifications made during the submission of the VFX project files, and these markings can be included as part of the key modification data. Alternatively, the system can provide a simple interface allowing VFX artists to select the core nodes and attributes involved in the modification and manually enter the values ​​before and after the modification, thereby generating the key modification data.

[0065] Furthermore, based on the key modification data, the system matches the corresponding simplified review model from a pre-defined prior knowledge base containing multiple simplified review models. A virtual review scenario is then constructed using this model, allowing reviewers to examine the current key modification data within the virtual environment. The changes indicated by each data modification are presented in the virtual review scenario. For example, the system can search for a predefined simplified review model in the prior knowledge base based on the modification type (such as lighting adjustment, particle quantity change, etc.) contained in the key modification data. If the key modification data indicates a minor adjustment to the light color, the system might match a "color review model," which only highlights the affected light and its color attributes in the virtual scene and provides a color selector for reviewers to quickly adjust and evaluate. If the key modification data indicates an increase in the number of particle systems, the system might match a "particle quantity review model," which only renders the particle system in the virtual scene and provides a slider for reviewers to adjust the particle quantity in real time to observe the effect.

[0066] Therefore, in a virtual review scenario, review results are output based on the reviewers' assessments, and decisions are made regarding the visual effects project files awaiting review based on these results. For example, after completing the review in the virtual scenario, the reviewers can submit the review results by clicking the "Approved" or "Rejected" button. If "Rejected" is selected, a text box will pop up, allowing the reviewers to enter specific modification suggestions. These review results and modification suggestions are then recorded and associated with the visual effects project files awaiting review. Based on these results, the system can automatically update the task status and notify the visual effects artist for subsequent modifications.

[0067] The special effects review task workflow management method in this application optimizes the special effects review process through the steps described above. By preprocessing and extracting key modification data, the reviewers' attention is directly guided to the core modification points. By constructing a virtual review scenario, reviewers can review key modifications in a lightweight environment without loading the entire large project file. This approach significantly reduces file loading and scenario initialization time, enabling reviewers to process tasks more efficiently.

[0068] As a specific example in this embodiment, the special effects project file is first preprocessed to identify key modified data, such as "fluid simulation node: density attribute value changes from 0.8 to 0.9". Then, based on this key modified data, the system matches the "fluid density review model" from the prior knowledge base and constructs a virtual review scene containing only the fluid simulation portion. In this virtual scene, reviewers can directly see the change in fluid density and observe its impact on visual effects, thus quickly providing review results. The entire process does not require loading the complete scene or waiting for long rendering times, greatly improving review efficiency.

[0069] Compared to existing technologies, the core innovation of this application lies in introducing the concept of "key modification data" and constructing a "virtual review scenario" based on it. Reviewers currently waste a significant amount of time on file loading and unproductive waiting. This application preprocesses the special effects project file, intelligently extracting the core modifications submitted and structuring them as key modification data. Based on this, the system can match the most suitable simplified review model from a pre-set knowledge base using this key modification data and construct a focused virtual review scenario. This virtual scenario only presents the parts related to the key modification data, allowing reviewers to directly review the core changes without loading the entire large project file. This approach significantly reduces reviewers' waiting time and solves the problem of low review efficiency in traditional methods.

[0070] In this embodiment, as Figure 2 As shown, the step of preprocessing the special effects project file input into the special effects review task workflow management client to obtain key modification data specifically includes:

[0071] Step S11: Obtain the currently submitted special effects project file and the special effects project file of the previous version corresponding to this special effects project file;

[0072] Step S12: Parse the current special effects project file and the previous version of the special effects project file, and extract the core nodes and attribute values ​​from the special effects project file and the previous version of the special effects project file;

[0073] Step S13: Compare the core nodes and attribute values ​​of the special effects project file with those of the previous version of the special effects project file to obtain key modification data;

[0074] Step S14: Associate the key modification data with the current special effects project file and store it in a structured manner.

[0075] Specifically, this involves retrieving both the currently submitted special effects project file and the previous version of the special effects project file corresponding to this submission. This aims to provide foundational data for subsequent differential analysis. The currently submitted special effects project file refers to the most recently submitted special effects project file that requires review, while the previous version of the special effects project file refers to the most recent saved or reviewed version of the special effects project file before this submission.

[0076] This process involves parsing the current and previous versions of the special effects project files, extracting core nodes and attribute values. The parsing process can be understood as a deep analysis of the internal structure of the special effects project files, identifying and extracting the key elements constituting the special effects scene and their related parameters. Core nodes refer to structural units that have a significant impact on special effects production, such as objects and effectors in the scene, including light nodes, camera nodes, geometry nodes, particle system nodes, and fluid simulation nodes. These nodes are the most fundamental and crucial components of special effects production, and any changes to them can significantly affect the final visual presentation. Attribute values ​​refer to the specific parameters carried by these core nodes, such as the color, intensity, and position of lights; the number, size, and lifespan of particle systems; the resolution, density, and speed of fluid simulations; and the transformation paths of geometry. Extracting and comparing these specific attribute values ​​allows for the precise identification of substantial modifications that have occurred between different versions of the special effects project files.

[0077] Subsequently, the core nodes and attribute values ​​of the current effects project file are compared with those of the previous version to obtain key modification data. This comparison process identifies the differences in core nodes and attribute values ​​between the two versions, recording only the changed parts. Therefore, the key modification data only includes the data items that have actually been modified, rather than redundant information from the entire file.

[0078] Finally, the obtained key modification data is associated with the current special effects project file and stored in a structured format. This ensures that the key modification data accurately points to its corresponding special effects project file, facilitating subsequent querying and processing. For example, database, XML, or JSON formats can be used to improve data readability, manageability, and retrieval efficiency.

[0079] By analyzing the two versions of the special effects project files, the core nodes and attribute values ​​contained within can be accurately identified and extracted, ensuring the accuracy of the comparison. It is precisely because of this meticulous comparison of the core nodes and attribute values ​​that the unchanged parts can be effectively filtered out, extracting only the key modified data.

[0080] In this embodiment, as Figure 3 As shown, the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model, so that the reviewer can review the current key modification data in the virtual review scenario, specifically includes:

[0081] Step S21: Obtain the key modification data of the current special effects project file, and extract the core nodes and attribute values ​​contained in each data modification item from the key modification data;

[0082] Step S22: Based on the core nodes contained in each data modification item, the corresponding simplified review model is obtained from the prior knowledge base with multiple simplified review models;

[0083] Step S23: Based on the attribute values ​​of each data modification item and the matching simplified review model, construct a virtual review scenario in the special effects review task workflow management client, and present the core nodes and attribute values ​​of the data modification items in the virtual review scenario;

[0084] Step S24: In a virtual review scenario, the reviewers review the current key modified data.

[0085] After extracting the core nodes of each data modification item, the system matches the most suitable simplified review model from a pre-defined prior knowledge base containing various simplified review models. This prior knowledge base stores predefined simplified review strategies and models for different types of core nodes or their combinations, aiming to improve review efficiency. For example, for data items involving only lighting node modifications, a simplified model focusing on lighting effect evaluation might be matched; for data items involving particle system node modifications, a simplified model focusing on particle dynamics and morphology evaluation might be matched.

[0086] Subsequently, based on the attribute values ​​of each data modification item and the matched simplified review model, a virtual review scenario is constructed in the special effects review task workflow management client. This virtual review scenario is designed to intuitively and efficiently present the core nodes of the data modification items and the changes indicated by their attribute values. For example, if the attribute value indicator light changes color from blue to red, the virtual review scenario will directly display this color change without loading the entire complex special effects project file. In this way, reviewers can conduct reviews in a virtual environment focused on key modification points.

[0087] As a concrete example, a virtual review scenario could be a review sandbox, a highly simplified and virtual interactive environment. Within the sandbox, affected core nodes are loaded based on key modified data, recorded data modifications, and a matching simplified review model. For instance, if the manifest shows a change in the intensity of a light, the sandbox simultaneously loads a simplified model representing that light (such as a sphere or cone) and a basic test geometry (such as a gray cube or sphere) to demonstrate the lighting effect. If particle system parameters change, the sandbox simultaneously loads a simplified particle emitter model.

[0088] In this embodiment, the essential content of the modifications is clarified by extracting core nodes and attribute values ​​from key modified data. Secondly, a simplified review model is matched to these core nodes, ensuring the targeted and efficient nature of the review strategy. Finally, a virtual review scenario is constructed in the special effects review task workflow management client, presenting the core nodes and attribute values ​​of the data modifications within this scenario. This allows reviewers to intuitively observe and evaluate the modification effects in a highly focused and optimized environment, thereby effectively improving review efficiency.

[0089] In some of the above implementations of this embodiment, a simplified review model is obtained by matching the key modification data from a pre-set prior knowledge base with multiple simplified review models. A virtual review scenario is then constructed based on this simplified review model, allowing reviewers to review the current key modification data within the virtual scenario. However, if the review order of multiple data modification items is not properly planned when constructing the virtual review scenario, it may lead to low efficiency for reviewers during the review process, making it difficult to quickly focus on key or time-consuming modifications, thereby prolonging the overall review cycle.

[0090] In this regard, this embodiment further proposes how to optimize the review process and improve review efficiency when constructing a virtual review scenario.

[0091] Specifically, in the process of constructing a virtual review scenario in the special effects review task workflow management client based on the attribute values ​​of each data modification item and the matching simplified review model, and presenting the core nodes and attribute values ​​of the data modification items in the virtual review scenario, the construction of the virtual review scenario also includes:

[0092] The set review period for each data modification item is obtained by matching the core nodes of each data modification item from the prior knowledge base with special effects review cycle benchmark.

[0093] The review period for each data modification item is set in order of length.

[0094] A virtual review scenario is constructed in the special effects review task workflow management client by combining the sorted data modification items in ascending order with a simplified review model.

[0095] When constructing a virtual review scenario, firstly, based on one or more core nodes of each data modification item, such as lighting nodes, camera nodes, geometry nodes, particle system nodes, and fluid simulation nodes, the pre-established prior knowledge base with special effects review cycle benchmarks is used to match the set review cycle for each data modification item. This prior knowledge base can store the average or recommended review time corresponding to different types of core nodes or specific attribute value combinations. This benchmark data can be obtained through historical review data statistics, expert experience settings, etc. The set review cycle refers to the estimated time required to complete the review of a specific data modification item.

[0096] Secondly, compare the set review periods for each data modification item and sort them according to the length of the review period. For example, they can be arranged in order from shortest to longest (smallest to largest), so that reviewers can prioritize reviewing those modifications that are expected to take less time, or conversely, prioritize reviewing key modifications that take longer.

[0097] Finally, for each sorted data modification item, in ascending order, and combined with the previously matched simplified review model, a virtual review scenario is constructed in the special effects review task workflow management client. This means that the presentation order or layout of the virtual review scenario will be optimized based on the estimated review cycle of the data modification items. For example, modification items with shorter review cycles can be loaded and displayed first to guide the reviewers' review process.

[0098] In this embodiment, by introducing a mechanism for matching, sorting, and sequentially constructing virtual review scenarios by setting review cycles for data modification items, the inefficiency that may exist in the construction of traditional review scenarios is effectively solved.

[0099] Specifically, by acquiring and utilizing the pre-existing knowledge base of special effects review cycle benchmarks for each data modification item's set review cycle, the system can predict the review complexity and time consumption of different modification items. Subsequently, these set review cycles are sorted, for example, in ascending order, allowing reviewers to conduct reviews along a pre-defined, optimized path in the virtual review scenario. This orderly presentation guides reviewers to prioritize shorter or less complex modifications, thus quickly completing some review tasks and avoiding prioritizing longer review tasks, which would increase review time due to loading time.

[0100] In some preferred embodiments, a specific example is given below. Suppose a special effects project file contains multiple data modification items, such as: data modification item A (light color adjustment, estimated review period 5 minutes), data modification item B (particle system quantity adjustment, estimated review period 15 minutes), data modification item C (fluid simulation resolution adjustment, estimated review period 60 minutes), and data modification item D (camera position fine-tuning, estimated review period 3 minutes).

[0101] First, the system matches the corresponding set review period from the prior knowledge base with special effects review period benchmarks based on the core nodes of each data modification item (for example, the core nodes of A and D are light nodes, the core node of B is particle system node, and the core node of C is fluid simulation node).

[0102] Next, these set review periods are sorted as follows: data modification item D (3 minutes), data modification item A (5 minutes), data modification item B (15 minutes), and data modification item C (60 minutes).

[0103] Finally, when constructing a virtual review scenario in the special effects review task workflow management client, the data modification item D will be loaded and presented first, followed by data modification item A, then data modification item B, and finally data modification item C. In this way, reviewers can prioritize short-duration, low-complexity modifications, quickly complete some reviews, and concentrate more energy and time on subsequent, longer-duration, and more complex modifications, thereby improving overall review efficiency and experience.

[0104] In actual special effects review processes, virtual review scenarios built solely with simplified review models may not be able to fully showcase the high-fidelity visual changes resulting from complex special effects modifications, especially in key interactive areas. Reviewers may require more refined and realistic visual references to accurately assess the impact of modifications on the overall visual presentation.

[0105] Therefore, this application proposes a scheme for preprocessing key modification data before constructing a virtual review scenario, aiming to provide reviewers with richer and more accurate visual reference information.

[0106] Before the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model so that the reviewer can review the current key modification data in the virtual review scenario, the method further includes:

[0107] Upon receiving critical modification data, the critical modification data is analyzed and key interaction areas associated with the modified data items are identified;

[0108] For each identified key interaction area, scene data related to the key interaction area is extracted from the special effects project file;

[0109] Multi-frame high-fidelity rendering is performed on the scene data related to the key interaction area to generate dynamic visual slices;

[0110] The dynamic visual slices are associated with and stored with the corresponding modified data items.

[0111] Specifically, key interactive areas can be understood as specific scene areas or objects in a visual effects project file whose visual effects are significantly affected when a certain data item is modified. For example, when the color of a light changes, the affected object surfaces, shadow areas, and reflection areas can all be considered key interactive areas.

[0112] Multi-frame high-fidelity rendering refers to the process of generating high-quality image sequences from extracted local scene data. Unlike the fast, low-fidelity rendering used to build simplified review models, the rendering technology employed here aims to reproduce realistic visual effects to the greatest extent possible, including advanced rendering features such as complex global illumination, reflection, refraction, and volumetric fog. Through multi-frame rendering, the continuous changes of dynamic effects (such as particles, fluids, and animations) along the timeline can be captured, thereby generating high-quality visual information with a temporal dimension.

[0113] Dynamic visual slices are the result of multi-frame high-fidelity rendering. They are image or video clips containing a series of consecutive frames that accurately show the visual changes of key interactive areas before and after modification.

[0114] Associating the dynamic visual slices with their corresponding modified data items involves logically binding the generated dynamic visual slices with the specific data modifications that led to them, and storing this association in the storage system of the special effects review task workflow management client. This associated storage allows reviewers to easily and quickly retrieve and view the corresponding dynamic visual slices when examining specific modifications, thereby obtaining a more comprehensive visual reference.

[0115] The solution proposed in this application addresses the problem that traditional simplified review models may not be able to fully demonstrate complex special effects modifications, thus affecting the efficiency and accuracy of reviewers, by introducing in-depth analysis and high-fidelity rendering of key modified data before constructing the virtual review scenario.

[0116] As a specific implementation method, a concrete example is given below. Suppose that in a special effects project file, the color attribute value of a light node is changed from white to blue. Upon receiving this critical modification data, the system analyzes the modification and identifies the "critical interaction areas" affected by this light color change. For example, the surfaces of geometric nodes illuminated by this light, their shadow areas, and any material surfaces with reflective properties will be identified as critical interaction areas. Subsequently, the system extracts scene data related to these critical interaction areas from the special effects project file, including the mesh data of the geometric nodes, material textures, other relevant lighting information in the scene, and camera perspective. Next, these local scene data are rendered in high-fidelity multi-frame format to generate a dynamic visual slice. This slice might be a short video showing the continuous changes in the surface color, shadows, and reflections of the geometric nodes as the light color gradually changes from white to blue. Finally, this dynamic visual slice is associated with the "light color modification" data modification item and stored. When reviewers examine the light color modification in the special effects review task workflow management client, in addition to seeing the change in light color in the simplified virtual review scene, they can also retrieve and play this high-fidelity dynamic visual slice, thereby more intuitively and accurately assessing the actual impact of the color change on the overall visual effect of the scene, such as whether it is coordinated with the surrounding environment, or whether it produces unwanted visual artifacts.

[0117] Furthermore, the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model so that the reviewer can review the current key modification data in the virtual review scenario, also includes:

[0118] In a virtual review environment, the dynamic visual slices are presented in a picture-in-picture or overlay manner, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing the dynamic visual slices.

[0119] Based on the above, when reviewing special effects, auditors can simultaneously obtain a simplified overall view of the review scenario and high-fidelity dynamic details of key interactive areas within a unified virtual review environment. This intuitive comparison significantly improves the efficiency and accuracy of the review process, avoiding the cognitive burden and time consumption caused by frequently switching between different views or tools. As a result, auditors can more accurately evaluate the visual effects of special effects modifications, ensuring that the final output special effects project files meet the expected quality standards, thereby effectively improving the overall efficiency of special effects review workflow management.

[0120] In some preferred embodiments, suppose a data modification in a special effects project file involves a particle system node whose attribute values, including the number and size of the particle system, have changed significantly. After constructing a virtual review scene, a simplified representation of this particle system will be presented in the scene. Simultaneously, for the key interactive areas associated with this particle system node, pre-generated multi-frame high-fidelity dynamic visual slices will be displayed in a picture-in-picture format in the upper right corner of the virtual review scene. When reviewers observe the overall effect of the particle system in the virtual review scene, they can simultaneously compare it with the high-fidelity dynamic visual slices in the picture-in-picture format to observe in detail the specific visual manifestations of changes in particle number and size across different frames, such as particle collisions and dissipation details. In this way, reviewers can clearly determine whether the particle effects in the simplified review scene accurately reflect the details in the high-fidelity slices, thus making a more accurate review judgment.

[0121] In some of the above implementations, dynamic visual slices are presented in a virtual review environment using picture-in-picture or overlay methods, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing the dynamic visual slices. However, in actual review processes, due to potential inconsistencies in perspective, timeline, or focus between the virtual review scene and the dynamic visual slices, reviewers may face challenges in quickly and accurately comparing and evaluating the differences, thus affecting review efficiency and accuracy.

[0122] Therefore, a procedure is proposed to present the dynamic visual slices in a virtual review environment through picture-in-picture or overlay display, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing the dynamic visual slices. Specifically, this includes:

[0123] Based on the keyframe information of the dynamic visual slice, mark the corresponding keyframes in the corresponding virtual review scene;

[0124] When the reviewer adjusts the perspective of the virtual review scene, the perspective of the dynamic visual slice is adjusted simultaneously, and the core nodes of the dynamic visual slice and the virtual review scene in the data modification items are highlighted.

[0125] Specifically, the dynamic visual slice is generated by rendering multiple frames of high-fidelity local scene data in the special effects project file, and it contains dynamic visual effects of key interactive areas associated with the modified data items.

[0126] The keyframe information refers to frames within a dynamic visual slice that exhibit significant visual changes, such as frames marking the start, climax, or end of special effects. Marking these keyframes within the corresponding virtual review scene is understood as visually indicating the time point or scene state corresponding to the keyframe in the dynamic visual slice on the timeline or display interface of the virtual review scene. The purpose is to help reviewers quickly locate and understand the position of important moments in the dynamic visual slice within the overall virtual review scene.

[0127] This application's solution addresses the problem of low efficiency in comparing virtual review scenes with dynamic visual slices in existing technologies by introducing keyframe marking, viewpoint synchronization, and core node highlighting mechanisms. Specifically, by marking corresponding keyframes in the virtual review scene based on the keyframe information of the dynamic visual slices, reviewers can quickly identify the contextual position of important moments in the dynamic visual slices within the entire virtual review scene, thereby avoiding the tedious operation of manually searching and comparing timelines.

[0128] When reviewers adjust the perspective of the virtual review scene, the perspective of the dynamic visual slices is adjusted synchronously, ensuring that reviewers can always examine the modified content from a consistent viewing angle. This eliminates comprehension barriers caused by perspective differences, allowing reviewers to more intuitively evaluate the effectiveness of the modifications. Furthermore, by highlighting the core nodes of the data modifications in the dynamic visual slices and the virtual review scene, the system can directly guide reviewers' attention to the core area where the modifications occurred. This eliminates the need for reviewers to manually search for modification points in complex scenarios, significantly improving the focus and efficiency of the review process.

[0129] As a specific example in this embodiment, suppose a special effects project file contains modifications to an explosion effect. After preprocessing, key modification data regarding the number, size, and lifecycle of the explosion particle system is generated, along with a dynamic visual slice containing the explosion process. When reviewers examine this modification in the special effects review workflow management client, a virtual review scene is constructed, displaying the dynamic visual slice in a picture-in-picture format.

[0130] Specifically, the system uses keyframe information from the dynamic visual slices—the start, climax, and end of the explosion—to mark the corresponding moments of these keyframes on the timeline of the virtual review scene or in the scene view, using small icons or color bars. For example, on the timeline of the virtual review scene, 0.5 seconds after the explosion begins is marked as "Explosion Begins," 2.0 seconds after the climax is marked as "Climax," and 4.0 seconds after the explosion ends is marked as "End."

[0131] When reviewers drag the viewpoint of the virtual review scene with their mouse to observe the explosion effect from the side, the viewpoint of the dynamic visual slice displayed in the picture-in-picture format also adjusts synchronously, showing the explosion process from the side as well, ensuring that the observation angles of the two views are consistent. Simultaneously, the system automatically highlights particle system nodes in the virtual review scene and the corresponding particle effect areas in the dynamic visual slice; for example, it highlights particle system nodes with green outlines and gives the particle areas in the dynamic visual slice a semi-transparent red overlay effect.

[0132] These mechanisms allow reviewers to clearly see the key changes in explosion effects at different stages, examine their visual effects from multiple angles, and identify the core points of modification. This enables reviewers to efficiently and accurately assess whether modifications to explosion effects meet expectations, thus making a quick review decision.

[0133] Furthermore, the steps of outputting review results based on the reviewers' review in a virtual review scenario, and making decision-making outputs for the special effects engineering documents to be reviewed based on the review results, specifically include:

[0134] Record the time the reviewer spends in a virtual review scenario, the adjusted parameter values, and the judgment results made;

[0135] The review results are output by associating the dwell time, adjusted parameter values, and judgment results with the currently reviewed special effects project files.

[0136] Based on the review results, make decisions regarding the special effects engineering documents to be reviewed.

[0137] By systematically recording the time auditors spend in a virtual review scenario, the parameter values ​​they adjust, and the judgments they make, it is possible to capture their key behaviors and thought processes during the review process. This data is considered a quantitative basis for review, objectively reflecting the auditors' attention to specific modifications, their sensitivity to parameter changes, and their final professional judgment. By linking this detailed data to the current special effects engineering documents being reviewed and outputting the review results, not only is the review process made transparent, but a solid data foundation is also provided for subsequent decision-making.

[0138] For example, a longer dwell time may indicate that the modification point has complexity or potential problems; adjusting parameter values ​​directly reflects the reviewer's exploration and evaluation of the effect; and a clear judgment result directly guides the flow of engineering documents.

[0139] Through the aforementioned technical solution, this application can significantly improve the transparency, traceability, and scientific rigor of special effects review processes. Detailed records of reviewers' time spent in the virtual review scenario, adjusted parameter values, and judgments made ensure that every review is traceable, facilitating subsequent review, auditing, or accountability. Furthermore, this quantified review data provides a more comprehensive basis for decision-making, helping to reduce biases caused by subjective judgment and ensuring objectivity. For example, in case of disputes, the specific operations and judgment processes of reviewers can be reviewed to effectively resolve issues. Simultaneously, this data can also be used to analyze reviewers' work efficiency and professional preferences, providing data support for optimizing the review process.

[0140] In some preferred embodiments, suppose a special effects project file contains modifications to "light color" and "particle system quantity". As reviewers examine these modifications in a virtual review scenario, the system records their actions in real time. For example, a reviewer might spend 30 seconds reviewing "light color" and attempt to change the light color from blue to purple, ultimately determining it as "unacceptable, warmer tone recommended". Subsequently, when reviewing "particle system quantity", the reviewer might spend 15 seconds and adjust the particle quantity from 1000 to 800, ultimately determining it as "acceptable". This data, including the 30-second dwell time at the "light color" modification point, the adjustment parameter (blue -> purple), and the judgment result (unacceptable, warmer tone recommended), and the 15-second dwell time at the "particle system quantity" modification point, the adjustment parameter (1000 -> 800), and the judgment result (acceptable), will be structured and recorded and associated with the special effects project file. Ultimately, the system integrates this detailed review data into a review report, and based on this report, for example, automatically marks the special effects project file as "needs modification" and provides specific modification suggestions to guide the special effects artists in making precise adjustments.

[0141] Secondly, such as Figure 4 As shown, a special effects review task workflow management system 100 is provided, including:

[0142] The data processing and acquisition module 101 is used to preprocess the special effects project file input to the special effects review task process management client to obtain key modification data, wherein the key modification data includes multiple data modification items.

[0143] The model building and review module 102 is used to match the corresponding simplified review model from a preset prior knowledge base with multiple simplified review models based on the key modification data, and to build a virtual review scenario in combination with the corresponding simplified review model, so that the reviewer can review the current key modification data in the virtual review scenario, wherein the changes indicated by each data modification are presented in the virtual review scenario.

[0144] The review result and decision output module 103 is used to output review results based on the review of the reviewers in a virtual review scenario, and to make decision outputs on the special effects engineering documents to be reviewed based on the review results.

[0145] As can be seen from the above, the special effects review task workflow management method and system provided in this embodiment preprocesses the special effects project files to obtain key modification data, and constructs a virtual review scenario based on this data and a simplified review model, enabling reviewers to efficiently review key modification points in a virtual scenario. This method effectively solves the problems of low review efficiency and wasted time on file loading and unnecessary reviews when reviewers face a large number of complex special effects tasks in the prior art. Specifically, by identifying and presenting key modification data, reviewers can quickly understand the specific changes in this submission without loading the entire large project file. The introduction of the virtual review scenario allows reviewers to focus on core modifications, avoiding repeated reviews of unmodified parts and greatly shortening the review time. Therefore, the special effects review task workflow management method and system in this embodiment aims to improve the efficiency of special effects review and reduce the risk of project delays.

[0146] Finally, it should be noted that the above-described embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit them. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure.

Claims

1. A method for managing special effects review task workflows, applied to a special effects review task workflow management client, wherein the special effects review task workflow management client is used to display a special effects review task page, characterized in that, The method includes the following steps: The special effects project file input into the special effects review task workflow management client is preprocessed to obtain key modification data, wherein the key modification data contains multiple data modification items; Based on the key modification data, the corresponding simplified review model is matched from the pre-set prior knowledge base with multiple simplified review models, and a virtual review scenario is constructed in combination with the corresponding simplified review model so that the reviewers can review the current key modification data in the virtual review scenario. The changes indicated by each data modification are presented in the virtual review scenario. In a virtual review scenario, the review results are output based on the reviewers' review, and decisions are made on the special effects engineering documents to be reviewed based on the review results. The step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model, so that the reviewer can review the current key modification data in the virtual review scenario, specifically includes: Obtain the key modification data of the current special effects project file, and extract the core nodes and attribute values ​​contained in each data modification item from the key modification data; Based on the core nodes contained in each data modification item, the corresponding simplified review model is obtained by matching from a prior knowledge base with multiple simplified review models; Based on the attribute values ​​of each data modification item and the matching simplified review model, a virtual review scenario is constructed in the special effects review task workflow management client, and the core nodes and attribute values ​​of the data modification items are presented in the virtual review scenario; In a virtual review scenario, auditors review the current key modified data.

2. The special effects review task process management method according to claim 1, characterized in that, The step of preprocessing the special effects project files input into the special effects review task workflow management client to obtain key modification data specifically includes: Get the currently submitted special effects project file and the special effects project file of the previous version corresponding to this special effects project file; The current effects project file and the previous version of the effects project file are parsed, and the core nodes and attribute values ​​of the current effects project file and the previous version of the effects project file are extracted. The key modification data is obtained by comparing the core nodes and attribute values ​​of the special effects project file with the previous version of the special effects project file; Associate key modification data with the current special effects project file and store it in a structured manner.

3. The special effects review task process management method according to claim 2, characterized in that: The core nodes include one or more of the following: light nodes, camera nodes, geometry nodes, particle system nodes, and fluid simulation nodes; The attribute values ​​include one or more of the following: light color, light intensity, light position, number of particle systems, particle system size, particle system lifespan, fluid simulation resolution, fluid simulation density, fluid simulation speed, and geometry transformation path.

4. The special effects review task process management method according to claim 1, characterized in that, In the process of constructing a virtual review scenario in the special effects review task workflow management client based on the attribute values ​​of each data modification item and the matching simplified review model, and presenting the core nodes and attribute values ​​of the data modification items in the virtual review scenario, the construction of the virtual review scenario also includes: The set review period for each data modification item is obtained by matching the core nodes of each data modification item from the prior knowledge base with special effects review cycle benchmark. The review period for each data modification item is set in order of length. A virtual review scenario is constructed in the special effects review task workflow management client by combining the sorted data modification items in ascending order with a simplified review model.

5. The special effects review task process management method according to claim 1, characterized in that, Before the step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model so that the reviewer can review the current key modification data in the virtual review scenario, the method further includes: Upon receiving critical modification data, the critical modification data is analyzed and key interaction areas associated with the modified data items are identified; For each identified key interaction area, scene data related to the key interaction area is extracted from the special effects project file; Multi-frame high-fidelity rendering is performed on the scene data related to the key interaction area to generate dynamic visual slices; The dynamic visual slices are associated with and stored with the corresponding modified data items.

6. The special effects review task process management method according to claim 5, characterized in that, The step of matching the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and constructing a virtual review scenario in combination with the corresponding simplified review model, so that the reviewer can review the current key modification data in the virtual review scenario, further includes: In a virtual review environment, the dynamic visual slices are presented in a picture-in-picture or overlay manner, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing the dynamic visual slices.

7. The special effects review task process management method according to claim 6, characterized in that, In a virtual review environment, the dynamic visual slices are presented in a picture-in-picture or overlay manner, allowing reviewers to evaluate the visual effects of key interactive areas corresponding to each data modification item by comparing them with the dynamic visual slices. This process specifically includes: Based on the keyframe information of the dynamic visual slice, mark the corresponding keyframes in the corresponding virtual review scene; When the reviewer adjusts the perspective of the virtual review scene, the perspective of the dynamic visual slice is adjusted simultaneously, and the core nodes of the dynamic visual slice and the virtual review scene in the data modification items are highlighted.

8. The special effects review task process management method according to claim 1, characterized in that, The steps of outputting review results based on the reviewers' review in a virtual review scenario, and making decisions on the special effects engineering documents to be reviewed based on the review results, specifically include: Record the time the reviewer spends in a virtual review scenario, the adjusted parameter values, and the judgment results made; The review results are output by associating the dwell time, adjusted parameter values, and judgment results with the currently reviewed special effects project files. Based on the review results, make decisions regarding the special effects engineering documents to be reviewed.

9. A special effects review task workflow management system, wherein the system is applied to a special effects review task workflow management client, the special effects review task workflow management client being used to display a special effects review task page, characterized in that, The system includes: The data processing and acquisition module is used to preprocess the special effects project file input to the special effects review task process management client to obtain key modification data, wherein the key modification data includes multiple data modification items. The model building and review module is used to match the corresponding simplified review model from a pre-set prior knowledge base with multiple simplified review models based on the key modification data, and to build a virtual review scenario in combination with the corresponding simplified review model, so that the reviewers can review the current key modification data in the virtual review scenario, wherein the changes indicated by each data modification are presented in the virtual review scenario. The review result and decision output module is used to output review results based on the reviewer's review in a virtual review scenario, and to make decision outputs on the special effects engineering documents to be reviewed based on the review results. The model building and review module includes: The modification item information extraction unit is used to obtain the key modification data of the current special effects project file and extract the core nodes and attribute values ​​contained in each data modification item from the key modification data. The review model matching unit is used to match the corresponding simplified review model from a prior knowledge base with multiple simplified review models based on the core nodes contained in each data modification item. A virtual review scenario construction unit is used to construct a virtual review scenario in the special effects review task process management client based on the attribute values ​​of each data modification item and the matching simplified review model. The core nodes and attribute values ​​of the data modification items are presented in the virtual review scenario. The modified data review unit is used to review the current key modified data by auditors in a virtual review scenario.

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