Special effect auditing task process management method and system

Abstract

The invention relates to the technical field of special effect auditing task process management, and particularly discloses a special effect auditing task process management method and system, and the method comprises the steps: carrying out the preprocessing of a special effect project file to obtain key modification data, and carrying out the matching of a simplified auditing model according to the data to construct a virtual auditing scene; according to the method, the auditing personnel can efficiently examine the key modification points in the virtual scene, the problems that in the prior art, when the auditing personnel face a large number of complex special effect tasks, the auditing efficiency is low, and a large amount of time is wasted on file loading and unnecessary auditing are solved, the auditing time is greatly shortened, and the purpose of improving the special effect auditing efficiency is achieved. And the risk of project delay is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of special effect audit task process management, in particular to a special effect audit task process management method and system. BACKGROUND

[0002] In large visual project production such as film and television, game, etc., the production and audit of special effect shots is a complex and time-consuming link. In order to ensure the timely delivery of the project and guarantee the quality, a set of process management system is usually used to coordinate and process a large number of special effect tasks. However, the existing management method often exposes the problem of low efficiency when dealing with some specific types of complex tasks, especially when the audit personnel need to conduct in-depth examination on the tasks, but lack sufficient pre-information to effectively plan their work. This information asymmetry makes it difficult for the audit personnel to estimate the actual time consumption and complexity of each task when facing a large number of tasks, resulting in waste of working time and delay of the overall project progress.

[0003] At present, there is no effective technical solution to the above problems. SUMMARY

[0004] The purpose of the present application is to provide a special effect audit task process management method and system, aiming at solving the problem of low audit efficiency in the existing special effect audit process.

[0005] In order to achieve the above purpose, the technical scheme of the present application has: As one aspect of the present application, a special effect audit task process management method is provided, applied to a special effect audit task process management client, the special effect audit task process management client being used to display a special effect audit task page, the method comprising the following steps: preprocessing a special effect engineering file input to the special effect audit task process management client to obtain key modification data, wherein the key modification data contains a plurality of data modification items; According to the key modification data, a corresponding simplified review model is matched from a pre-set prior knowledge base with a plurality of simplified review models, and a virtual review scene is constructed in combination with the corresponding simplified review model, so that the audit personnel reviews the current key modification data in the virtual review scene, wherein the changes indicated by each data modification are presented in the virtual review scene; According to the review result, a decision output is made on the special effect engineering file to be audited.

[0006] Further, the step of preprocessing the special effect engineering file input to the special effect audit task process management client to obtain key modification data specifically comprises: obtain a current submitted special effect engineering file and obtain a previous version of the special effect engineering file corresponding to a current version of the special effect engineering file; analyze the current special effect engineering file and the previous version of the special effect engineering file, and extract core nodes and attribute values in the special effect engineering file and the previous version of the special effect engineering file; compare the core nodes and the attribute values in the special effect engineering file and the previous version of the special effect engineering file to obtain key modification data; associate the key modification data with the current special effect engineering file and perform structured storage.

[0007] Further, the core nodes include one or more of a light node, a camera node, a geometry node, a particle system node, and a fluid simulation node; The attribute values include one or more of a color of a light, an intensity of the light, a position of the light, a number of a particle system, a size of the particle system, a life cycle of the particle system, a resolution of a fluid simulation, a density of the fluid simulation, a speed of the fluid simulation, and a transformation path of a geometry.

[0008] Further, the corresponding simplified review model is matched from a preset prior knowledge base with multiple simplified review models according to the key modification data, and a virtual review scene is constructed in combination with the corresponding simplified review model, so that the step of the reviewer reviewing the current key modification data in the virtual review scene includes: obtain key modification data of the current special effect engineering file, and extract core nodes and attribute values contained in each data modification item from the key modification data; According to the core nodes contained in each data modification item, a corresponding simplified review model is matched from a prior knowledge base with multiple simplified review models; According to the attribute values of each data modification item and the matched simplified review model, a virtual review scene is constructed in a special effect review task process management client, and the core nodes and the attribute values of the data modification item are presented in the virtual review scene; The reviewer reviews the current key modification data in the virtual review scene.

[0009] Further, in the step of constructing a virtual review scene in a special effect review task process management client according to the attribute values of each data modification item and the matched simplified review model, the core nodes and the attribute values of the data modification item are presented in the virtual review scene, and for constructing the virtual review scene, it further includes: According to the core nodes of each data modification item, a set review period of each data modification item is matched from a prior knowledge base with a special effect review period benchmark; The setting review period of each data modification item is sorted according to the length of the review period; The sorted each data modification item is combined according to the small to large order matching the simplified review model to build a virtual review scene in the special effect review task flow management client.

[0010] Further, the corresponding simplified review model is matched from the preset prior knowledge base with multiple simplified review models according to the key modification data, and the virtual review scene is constructed combined with the corresponding simplified review model, so that before the step of the reviewer reviewing the current key modification data in the virtual review scene, further comprising: Upon receiving the key modification data, analyzing the key modification data and identifying the key interaction area associated with the modification data item; For each identified key interaction area, extract scene data related to the key interaction area from the special effect engineering file; The scene data related to the key interaction area is rendered in multiple frames with high fidelity and a dynamic visual slice is generated; The dynamic visual slice is stored in association with the corresponding modification data item.

[0011] Further, the corresponding simplified review model is matched from the preset prior knowledge base with multiple simplified review models according to the key modification data, and the virtual review scene is constructed combined with the corresponding simplified review model, so that the step of the reviewer reviewing the current key modification data in the virtual review scene, further comprising: In the virtual review environment, the dynamic visual slice is presented by picture-in-picture or superimposed display, so that the reviewer evaluates the visual effect of the key interaction area corresponding to each data modification item against the dynamic visual slice.

[0012] Further, in the virtual review environment, the dynamic visual slice is presented by picture-in-picture or superimposed display, so that the reviewer evaluates the visual effect of the key interaction area corresponding to each data modification item against the dynamic visual slice, specifically comprising: According to the key frame information of the dynamic visual slice, mark the corresponding key frame 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 synchronously, and the core node of the dynamic visual slice and the virtual review scene in the data modification item is highlighted.

[0013] Further, the step of outputting the review result according to the reviewer's review in the virtual review scene, and outputting the decision of the special effect engineering file to be reviewed according to the review result, specifically comprising: record the time spent by the reviewer in the virtual review scene, the adjusted parameter values, and the results of the judgment; associate the time spent, the adjusted parameter values, and the results of the judgment with the current special effect engineering file being audited and output the review results; make a decision output for the special effect engineering file being audited according to the review results.

[0014] As a second aspect of the present application, a special effect audit task process management system comprises: a data processing and acquisition module, configured to preprocess a special effect engineering file input into the special effect audit task process management client to obtain key modification data, wherein the key modification data comprises a plurality of data modification items; a model construction and review module, configured to match a corresponding simplified review model from a pre-set prior knowledge base having a plurality of simplified review models according to the key modification data, and construct a virtual review scene in combination with the corresponding simplified review model, so that a reviewer reviews the current key modification data in the virtual review scene, wherein the changes indicated by each data modification are presented in the virtual review scene; a review result and decision output module, configured to output review results under the virtual review scene according to the review by the reviewer, and make a decision output for the special effect engineering file being audited according to the review results.

[0015] As can be seen from the above, the special effect audit task process management method provided by the present application preprocesses a special effect engineering file to obtain key modification data, and constructs a virtual review scene according to the simplified review model matched according to the data, so that the reviewer can efficiently review the key modification points in the virtual scene. This method effectively solves the problems of low review efficiency and a large amount of time wasted on file loading and unnecessary review when the reviewer faces a large number of complex special effect tasks in the prior art. Specifically, by identifying and presenting the key modification data, the reviewer does not need to load the entire large engineering file to quickly understand the specific changes submitted this time. The introduction of the virtual review scene enables the reviewer to focus on the core modification content, avoiding repeated review of the unmodified part, greatly shortening the review time. Therefore, the present application aims to improve the efficiency of special effect review and reduce the risk of project delay. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 a flowchart of a special effect audit task process management method provided by an embodiment of the present application; Figure 2 a flowchart indicating step S1 in a special effect audit task process management method provided by an embodiment of the present application; Figure 3 A flowchart illustrating the instruction step S2 in a special effects review task workflow management method provided in this application embodiment; Figure 4 This is a system structure diagram of a special effects review task workflow management system provided in an embodiment of this application.

[0017] 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

[0018] To better illustrate the present invention, the invention will now be described in further detail with reference to the accompanying drawings.

[0019] 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.

[0020] The following description is based on at least one specific embodiment, in which: 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: 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; 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. Step S3, outputting the review result according to the review of the reviewer in the virtual review scene, and outputting the decision of the special effect engineering file to be reviewed according to the review result.

[0021] In this embodiment, by preprocessing the special effect engineering file, extracting the key modification data, and constructing a virtual review scene based on these data, the reviewer can perform review in an efficient environment, thereby effectively solving the problem of low efficiency in the traditional method, and significantly improving the efficiency and accuracy of special effect review.

[0022] In order to better understand the special effect review task flow management method proposed in this embodiment, some key terms involved therein need to be explained.

[0023] In this embodiment, the special effect engineering file as the processing object refers to a file used to store special effect related data and settings in the process of visual content production such as film and television, games, etc., such as project files containing three-dimensional models, animations, materials, lights, particle systems, fluid simulation and other elements.

[0024] The key modification data refers to the core change information extracted after preprocessing and comparative analysis between different versions of the special effect engineering file. These data usually include the core nodes, attribute values and their corresponding change types of the modification. In addition, the data modification item is a specific entry in the key modification data, which represents the modification of a specific element in the special effect engineering file, such as adjustment of light color, change of particle quantity, etc.

[0025] The simplified review model refers to the review strategy or process designed in the prior knowledge base for special types of modification or special complexity of special effect engineering files. These models aim to improve the review efficiency by simplifying the review environment, focusing on key information, etc.

[0026] The virtual review scene refers to a virtual environment constructed in the special effect review task flow management client according to the key modification data and the simplified review model. In this environment, the reviewer can intuitively see and interactively review the key modification part of the special effect engineering file without loading the entire huge engineering file.

[0027] The special effect review task flow management method proposed in this application is based on intelligent data preprocessing and virtual review scene construction, which greatly improves the efficiency and accuracy of special effect review.

[0028] Specifically, the method first pre-processes the special effect engineering file input to the special effect review task flow management client to obtain key modification data. The key modification data contains multiple data modification items. For example, the special effect engineer can manually mark the main modification points of this submission as part of the key modification data by using a modification record tool and through manual marking when submitting the special effect engineering file. Alternatively, the system can provide a simple interface to allow the special effect engineer to select the core nodes and attributes involved in this modification and manually input the values before and after the modification to generate the key modification data.

[0029] Further, the corresponding simplified review model is matched from a pre-set prior knowledge base with multiple simplified review models according to the key modification data, and a virtual review scene is constructed in combination with the corresponding simplified review model, so that the reviewer reviews the current key modification data in the virtual review scene. The changes indicated by each data modification are presented in the virtual review scene. For example, the system can look up the pre-defined simplified review model in the prior knowledge base according to the modification type (such as light adjustment, particle quantity change, etc.) contained in the key modification data. If the key modification data indicates fine tuning of the light color, the system can match a "color review model", which only highlights the affected light and its color attribute in the virtual scene and provides a color selector for the reviewer to quickly adjust and evaluate. If the key modification data indicates an increase in the number of particle systems, the system can match a "particle quantity review model", which only renders the particle system in the virtual scene and provides a slider for the reviewer to adjust the particle quantity in real time to observe the effect.

[0030] Thus, the review result is output according to the review of the reviewer in the virtual review scene, and a decision is output for the special effect engineering file to be reviewed according to the review result. For example, after the reviewer completes the review in the virtual review scene, the reviewer can submit the review result by clicking the "pass" or "reject" button. If "reject" is selected, a text box will pop up to allow the reviewer to input specific modification suggestions. These review results and modification suggestions will be recorded and associated with the special effect engineering file to be reviewed. The system can automatically update the task status according to these results and notify the special effect engineer to make subsequent modifications.

[0031] The special effect audit task flow management method of the present application realizes the optimization of the special effect audit flow through the above steps. Through preprocessing and extraction of key modification data, the attention of the auditors is directly guided to the core modification points. By constructing a virtual review scene, the auditors do not need to load the entire large engineering file, and can review the key modifications in a lightweight environment. This way greatly reduces the file loading and scene initialization time, enabling the auditors to more efficiently handle tasks.

[0032] As a specific example in the present embodiment, the special effect engineering file is first preprocessed to identify key modification data, such as "fluid simulation node: density attribute value changes from 0.8 to 0.9". Then, the system matches "fluid density review model" from the prior knowledge base according to the key modification data, and constructs a virtual review scene containing only the fluid simulation part. In this virtual scene, the auditor can directly see the change of fluid density and observe its effect on the visual effect, thereby quickly giving the review result. The entire process does not need to load the complete scene, nor does it need to wait for a long time to render, greatly improving the audit efficiency.

[0033] Compared with the prior art, the core innovation of the present application lies in the introduction of the concept of "key modification data" and the construction of a "virtual review scene" based on it. The auditors waste a lot of time on file loading and invalid waiting. The present application preprocesses the special effect engineering file, intelligently extracts the core modification points of this submission, and structures them into key modification data. On this basis, the system can match the most suitable simplified review model from the pre-set prior knowledge base according to these key modification data, and construct a focused virtual review scene. This virtual scene only presents the part related to the key modification data, and the auditor can directly review the core changes without loading the entire large engineering file. This way significantly shortens the waiting time of the auditors, solving the problem of low efficiency of the traditional method.

[0034] In the present embodiment, as shown in Figure 2 The step of preprocessing the special effect engineering file input into the special effect audit task flow management client to obtain key modification data specifically includes: Step S11, obtaining the current submitted special effect engineering file and obtaining the previous version of the special effect engineering file corresponding to the current submitted version of the special effect engineering file; Step S12, parsing the current special effect engineering file and the previous version of the special effect engineering file, and extracting the core nodes and attribute values in the special effect engineering file and the previous version of the special effect engineering file; Step S13, comparing the core nodes and attribute values in the special effect engineering file and the previous version of the special effect engineering file to obtain key modification data; Step S14, associate the key modification data with the current special effect engineering file and store it in a structured manner.

[0035] Specifically, the current submitted special effect engineering file is obtained, and the previous version of the special effect engineering file corresponding to the current submitted version is obtained, aiming to provide basic data for subsequent differential analysis. Among them, the current submitted special effect engineering file refers to the latest submitted and to-be-audited special effect engineering file of the auditor, and the previous version of the special effect engineering file refers to the latest saved or audited version before the current submission.

[0036] The current special effect engineering file and the previous version of the special effect engineering file are parsed, and the core nodes and attribute values are extracted. The parsing process is to deeply analyze the internal structure of the special effect engineering file, identify and extract the key elements and related parameters that constitute the special effect scene. The core node refers to a structural unit that has an important influence in special effect production, such as objects in the scene, effectors, etc., such as light nodes, camera nodes, geometric body nodes, particle system nodes and fluid simulation nodes. These nodes are the most basic and key components in special effect production, and any change in them can have a significant impact on the final visual presentation. Attribute values refer to specific parameters carried by these core nodes, such as the color of the light, the intensity of the light, the position of the light, the number of particle systems, the size of the particle system, the life cycle of the particle system, the resolution of the fluid simulation, the density of the fluid simulation, the speed of the fluid simulation and the transformation path of the geometric body. The extraction and comparison of these specific attribute values can accurately identify the substantive modifications of the special effect engineering file between different versions.

[0037] Subsequently, the core nodes and attribute values in the current special effect engineering file and the previous version of the special effect engineering file are compared to obtain the key modification data. This comparison process identifies the differences in core nodes and attribute values between the two versions and only records the parts that have changed. Thus, the key modification data only contains the data items that have actually been modified, rather than redundant information of the entire file.

[0038] Finally, the obtained key modification data is associated with the current special effect engineering file and stored in a structured manner, aiming to ensure that the key modification data can accurately point to the special effect engineering file it belongs to, facilitating subsequent query and processing. For example, using database, XML or JSON format to improve data readability, manageability and retrieval efficiency.

[0039] By parsing the two versions of the special effect engineering files, the core nodes and attribute values contained therein can be accurately identified and extracted, ensuring the accuracy of the comparison. It is precisely because of the detailed comparison of the core nodes and attribute values that the unchanged parts can be effectively filtered out, and only the key modification data that has actually been modified is extracted.

[0040] In the embodiment, as shown in Figure 3 The step of constructing a virtual review scene according to the key modification data and the corresponding simplified review model, specifically includes: Step S21, obtaining the key modification data of the current special effect engineering file, and extracting the core nodes and attribute values contained in each data modification item from the key modification data; Step S22, matching the corresponding simplified review model from the prior knowledge base with multiple simplified review models according to the core nodes contained in each data modification item; Step S23, constructing a virtual review scene in the special effect review task process management client according to the attribute values of each data modification item and the matched simplified review model, and presenting the core nodes and attribute values of the data modification item in the virtual review scene; Step S24, reviewing the current key modification data in the virtual review scene by the reviewer.

[0041] After extracting the core nodes of each data modification item, the system will match the most suitable simplified review model from the preset prior knowledge base with multiple simplified review models according to these core nodes. The prior knowledge base stores pre-defined simplified review strategies and models for different types of core nodes or their combinations, aiming to improve the review efficiency. For example, for data items involving only light node modification, a simplified model focusing on lighting effect evaluation may be matched; for data items involving particle system node modification, a simplified model focusing on particle dynamics and morphology evaluation may be matched.

[0042] Subsequently, a virtual review scene is constructed in the special effect review task process management client according to the attribute values of each data modification item and the matched simplified review model. The virtual review scene is designed to directly and efficiently present the changes indicated by the core nodes and attribute values of the data modification item. For example, if the attribute value indicates that the light color changes from blue to red, the virtual review scene will directly display this color change without loading the entire complex special effect engineering file. In this way, the reviewer can review in a virtual environment that focuses on the key modification points.

[0043] As a specific example, for a virtual review scene, it can be a review sandbox, which is a highly simplified and virtual interactive environment, in which the affected core nodes are loaded according to the key modification data, the recorded data modification items and the matched simplified review models, for example, if the list shows that a certain light intensity changes, the review sandbox synchronously loads a simplified model (such as a sphere or cone) representing the light and a basic test geometry (such as a gray cube or sphere) to show the light effect. If the particle system parameters change, the review sandbox synchronously loads a simplified particle emitter model.

[0044] In this embodiment, the essence of the modification is clarified by extracting the core nodes and attribute values from the key modification data. Secondly, according to these core nodes, the corresponding simplified review models are matched to ensure the pertinence and efficiency of the review strategy. Finally, the virtual review scene is constructed in the special effect audit task process management client, and the core nodes and attribute values of the data modification items are presented in this scene, so that the reviewer can intuitively observe and evaluate the modification effect in a highly focused and optimized environment, thereby effectively improving the review efficiency.

[0045] In some embodiments of the above embodiment, the corresponding simplified review model is matched from the pre-set prior knowledge base with multiple simplified review models according to the key modification data, and the virtual review scene is constructed combined with the corresponding simplified review model, so that the reviewer reviews the current key modification data in the virtual review scene. However, when constructing the virtual review scene, if the review order of multiple data modification items is not reasonably planned, it may lead to low efficiency of the reviewer in the review process, and it is difficult to quickly focus on the key or time-consuming modification, thereby prolonging the overall audit cycle.

[0046] In this embodiment, how to optimize the audit process and improve the audit efficiency when constructing the virtual review scene is further proposed.

[0047] Specifically, in the step of constructing the virtual review scene in the special effect audit task process management client according to the attribute values of each data modification item and the matched simplified review model, the core nodes and attribute values of the data modification items are presented in the virtual review scene, and the virtual review scene is further constructed, including: According to the core nodes of each data modification item, the set audit period of each data modification item is matched from the prior knowledge base with special effect audit period benchmarks; The set audit periods of each data modification item are sorted according to the length of the audit period; The sorted data modification items are combined with the matched simplified review model in the order from small to large to build a virtual review scene in the special effect review task flow management client.

[0048] In building the virtual review scene, first, according to the core nodes of the data modification items, such as one or more of the light nodes, camera nodes, geometry nodes, particle system nodes and fluid simulation nodes, the set review period of each data modification item is matched from the prior knowledge base with special effect review period benchmarks. The prior knowledge base can store the average review time or recommended review time corresponding to different types of core nodes or specific attribute value combinations. These benchmark data can be obtained through historical review data statistics, expert experience setting, etc. The set review period refers to the estimated time required to complete the review of a specific data modification item.

[0049] Secondly, the set review periods of the data modification items obtained are compared and sorted according to the length of the review period. For example, they can be arranged in order from short to long (from small to large), so that the reviewer can prioritize reviewing those modification items that are expected to take less time, or vice versa, prioritize reviewing key modification items that take longer.

[0050] Finally, for the sorted data modification items, a virtual review scene is built in the special effect review task flow management client in the order from small to large, combined with the simplified review model matched before. This means that the presentation order or layout of the virtual review scene will be optimized according to the estimated review period of the data modification items. For example, modification items with shorter review periods can be loaded and displayed first to guide the review process of the reviewer.

[0051] In this embodiment, by introducing the mechanism of matching, sorting and constructing a virtual review scene in order according to the set review period of the data modification items, the problem of low efficiency in traditional review scene construction is effectively solved.

[0052] Specifically, by obtaining and utilizing the set review period of each data modification item from the prior knowledge base of special effect review period benchmarks, the system can have a preliminary judgment of the review complexity and time consumption of different modification items. Then, the set review periods are sorted, for example, arranged in order from small to large, so that the reviewer can review in a pre-set and optimized path in the virtual review scene. This ordered presentation can guide the reviewer to prioritize processing modification items with shorter time consumption or lower complexity, thereby quickly completing part of the review tasks and avoiding the problem of prioritizing processing review tasks with longer time consumption, which leads to an increase in review time due to the increase in the length of the loaded review tasks.

[0053] In some preferred embodiments, the following is illustrated by a specific example. Assume that a special effect engineering 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), data modification item D (camera position fine-tuning, estimated review period 3 minutes).

[0054] Firstly, the system matches the corresponding set review period from the prior knowledge base with special effect review period benchmarks according to 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 a particle system node, and the core node of C is a fluid simulation node).

[0055] Then, the set review periods are sorted: 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).

[0056] Finally, when building a virtual review scene in the special effect review task flow management client, the sorting result will be followed, that is, data modification item D is loaded and presented first, followed by data modification item A, then data modification item B, and finally data modification item C. In this way, the reviewer can prioritize short-time and low-complexity modifications, quickly complete part of the review, and can focus more energy and time on subsequent long-time and high-complexity modifications, thereby improving overall review efficiency and experience.

[0057] In the actual special effect review process, a virtual review scene constructed only by a simplified review model may not be able to fully exhibit the high-fidelity visual effect changes brought about by complex special effect modifications, especially in key interaction areas. Reviewers may need more detailed and realistic visual references to accurately assess the impact of modifications on overall visual presentation.

[0058] Therefore, the present application further proposes a scheme for preprocessing key modification data before building a virtual review scene, aiming to provide more rich and accurate visual reference information for reviewers.

[0059] Before the step of matching the corresponding simplified review model from the preset prior knowledge base with multiple simplified review models, and constructing a virtual review scene in combination with the corresponding simplified review model, so that the reviewer reviews the current key modification data in the virtual review scene, the step further comprises: Upon receiving the key modification data, analyzing the key modification data and identifying the key interaction area associated with the modification data item; extract scene data related to the key interaction region from the special effect engineering file; perform multi-frame high-fidelity rendering on the scene data related to the key interaction region and generate a dynamic visual slice; store the dynamic visual slice in association with the corresponding modification data item.

[0060] Specifically, the key interaction region can be understood as a specific scene region or object in the special effect engineering file that will be significantly affected by the change of a certain data modification item. For example, when the light color changes, the object surface, shadow area and reflection area affected by it can be regarded as the key interaction region.

[0061] Multi-frame high-fidelity rendering refers to a high-quality image sequence generation process on the extracted local scene data. Unlike the fast and low-fidelity rendering used in the construction of the simplified review model, the rendering technology used here aims to restore the real visual effect to the greatest extent, including complex global lighting, reflection, refraction, volume fog and other advanced rendering features. Through multi-frame rendering, the continuous changes of dynamic special effects (such as particles, fluids, animation) on the time axis can be captured, thereby generating high-quality visual information with time dimension.

[0062] The dynamic visual slice is the result of multi-frame high-fidelity rendering, which is an image or video clip containing a series of consecutive frames, accurately showing the visual changes of the key interaction region before and after modification.

[0063] Storing the dynamic visual slice in association with the corresponding modification data item means logically binding the generated dynamic visual slice with the specific data modification item that causes it, and storing it in the storage system of the special effect review task flow management client. This associated storage allows the reviewer to conveniently and quickly retrieve and view the corresponding dynamic visual slice when reviewing a specific modification item, thereby obtaining more comprehensive visual reference.

[0064] The scheme of the present application solves the problem that the traditional simplified review model may not be able to fully display complex special effect modifications, which affects the review efficiency and accuracy of the reviewer, by introducing deep analysis and high-fidelity rendering of key modification data before building a virtual review scene.

[0065] As a specific implementation, the following is illustrated by a specific example. Suppose that in a specific VFX engineering file, the color attribute value of a light node is modified from white to blue. Upon receiving this key modification data, the system analyzes the modification and identifies the "key interaction areas" affected by the change in light color. For example, the surfaces of the geometry nodes illuminated by the light, the shadow areas generated by the light, and any material surfaces with reflective properties in the scene will be identified as key interaction areas. Subsequently, the system extracts the scene data related to these key interaction areas from the VFX engineering file, including the mesh data of the geometry nodes, material textures, other relevant light information in the scene, and camera perspectives, etc. Then, multi-frame high-fidelity rendering is performed on these local scene data to generate a dynamic visual clip. This clip can be a short video showing the continuous changes in the surface color of the geometry nodes, shadows, and reflection effects as the light color gradually changes from white to blue. Finally, this dynamic visual clip is associated with the "light color modification" data modification item and stored. When the reviewer examines the light color modification in the VFX review task process management client, in addition to seeing the change in light color in the simplified virtual review scene, the high-fidelity dynamic visual clip can also be retrieved and played, allowing the reviewer to more intuitively and accurately assess 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 unexpected visual artifacts.

[0066] Furthermore, in the step of matching the corresponding simplified review model from the pre-set prior knowledge base with multiple simplified review models according to the key modification data, and constructing a virtual review scene combined with the corresponding simplified review model to enable the reviewer to review the current key modification data in the virtual review scene, the step further comprises: In the virtual review environment, the dynamic visual clip is presented through picture-in-picture or superimposed display, allowing the reviewer to evaluate the visual effect of the key interaction areas corresponding to each data modification item against the dynamic visual clip.

[0067] Based on the above, when performing VFX review, the reviewer can obtain both the overall view of the simplified review scene and the high-fidelity dynamic details of the key interaction areas in a unified virtual review environment. This intuitive comparison method significantly improves the efficiency and accuracy of the review, avoiding the cognitive burden and time consumption caused by frequent switching between different views or tools. As a result, the reviewer can more accurately evaluate the visual effect of the VFX modification, ensuring that the final output VFX engineering file meets the expected quality standards, thereby effectively improving the overall efficiency of the VFX review task process management.

[0068] In some preferred embodiments, suppose a certain data modification item in a special effect engineering file involves a particle system node, and its attribute values include significant changes in the number and size of the particle system. After the virtual review scene is built, the simplified performance of the particle system will be presented in the scene. At the same time, the pre-generated multi-frame high-fidelity dynamic visual slices for the key interaction area associated with the particle system node will be displayed in the form of picture-in-picture in the upper right corner of the virtual review scene. When observing the overall effect of the particle system in the virtual review scene, the reviewer can simultaneously compare the high-fidelity dynamic visual slices in the picture-in-picture to observe the specific visual performance of the particle number and size changes in different frames, such as particle collision, dissipation, and other details. In this way, the reviewer can clearly determine whether the particle effect in the simplified review scene accurately reflects the details in the high-fidelity slices, thereby making more accurate review judgments.

[0069] In some of the above embodiments, it is proposed to present dynamic visual slices in a picture-in-picture or superimposed display manner in a virtual review environment, so that reviewers can evaluate the visual effects of key interaction areas corresponding to each data modification item by comparing dynamic visual slices. However, in actual review processes, there may be inconsistencies in perspective, timeline, or focus points between the virtual review scene and the dynamic visual slices, and reviewers may face certain challenges when quickly and accurately comparing and evaluating the differences between the two, thereby affecting review efficiency and accuracy.

[0070] Therefore, it is proposed to present the dynamic visual slices in a picture-in-picture or superimposed display manner in a virtual review environment, so that reviewers can evaluate the visual effects of key interaction areas corresponding to each data modification item by comparing the dynamic visual slices. Specifically, the steps include: According to the key frame information of the dynamic visual slices, mark the corresponding key frames in the corresponding virtual review scene; When the reviewer adjusts the perspective of the virtual review scene, the perspective of the dynamic visual slices is adjusted synchronously, and the core nodes in the data modification item of the dynamic visual slices and the virtual review scene are highlighted.

[0071] Specifically, the dynamic visual slices are generated after multi-frame high-fidelity rendering of local scene data in the special effect engineering file, and they contain the dynamic visual effects of the key interaction area associated with the modified data item.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] 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.

[0076] 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."

[0077] 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.

[0078] 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.

[0079] 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: 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.

[0080] 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.

[0081] 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.

[0082] 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.

[0083] 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.

[0084] Secondly, such as Figure 4 As shown, a special effects review task workflow management system 100 is provided, including: 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. 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. 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.

[0085] 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.

[0086] 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 special effect audit task flow management method applied to a special effect audit task flow management client, the special effect audit task flow management client being configured to display a special effect audit task page, and the method comprising the steps of: The method comprises the following steps: ​ Preprocessing the special effect engineering file input into the special effect review task process management client to obtain key modification data, wherein the key modification data contains multiple data modification items; According to the key modification data, a corresponding simplified review model is matched from a preset prior knowledge base with multiple simplified review models, and a virtual review scene is constructed in combination with the corresponding simplified review model, so that the reviewer reviews the current key modification data in the virtual review scene, and the changes indicated by each data modification are presented in the virtual review scene; According to the reviewer's review in the virtual review scene, a review result is output, and a decision is made on the special effect engineering file to be reviewed according to the review result.

2. The special effect review task flow management method of claim 1, wherein, The step of preprocessing the special effect engineering file input into the special effect review task process management client to obtain key modification data specifically comprises: Obtaining the current submitted special effect engineering file and the previous version of the special effect engineering file corresponding to the current submitted version; Parsing the current special effect engineering file and the previous version of the special effect engineering file, and extracting the core nodes and attribute values in the special effect engineering file and the previous version of the special effect engineering file; Comparing the core nodes and attribute values in the special effect engineering file and the previous version of the special effect engineering file to obtain key modification data; Associating the key modification data with the current special effect engineering file and storing it in a structured manner.

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

4. The special effect review task flow management method of claim 1, wherein, The step of matching a corresponding simplified review model from a preset prior knowledge base with multiple simplified review models according to the key modification data, and constructing a virtual review scene in combination with the corresponding simplified review model, so that the reviewer reviews the current key modification data in the virtual review scene, specifically comprises: Obtaining the key modification data of the current special effect engineering file, and extracting the core nodes and attribute values contained in each data modification item from the key modification data; According to the core nodes contained in each data modification item, a corresponding simplified review model is matched from the prior knowledge base with multiple simplified review models; According to the attribute values of each data modification item and the matched simplified review model, a virtual review scene is constructed in the special effect review task process management client, and the core nodes and attribute values of the data modification item are presented in the virtual review scene; The reviewer reviews the current key modification data in the virtual review scene.

5. The special effect review task flow management method of claim 4, wherein, In the step of constructing a virtual review scene in the special effect review task flow management client according to the attribute values of each data modification item and the matched simplified review model, and presenting the core nodes of the data modification items and the attribute values in the virtual review scene, the constructing of the virtual review scene further includes: According to the core nodes of each data modification item, matching a set review period of each data modification item from a priori knowledge base with a special effect review period benchmark; Sorting the set review periods of each data modification item according to the length of the review period; Constructing a virtual review scene in the special effect review task flow management client according to the sorted data modification items from small to large in combination with the matched simplified review model.

6. The special effect review task flow management method of claim 4, wherein, Before the step of matching a corresponding simplified review model from a pre-set priori knowledge base with multiple simplified review models according to the key modification data, and constructing a virtual review scene in combination with the corresponding simplified review model to enable the reviewer to review the current key modification data in the virtual review scene, the step further includes: Upon receiving the key modification data, analyzing the key modification data and identifying the key interaction area associated with the modification data item; For each identified key interaction area, extracting scene data related to the key interaction area from the special effect engineering file; Performing multi-frame high-fidelity rendering on the scene data related to the key interaction area and generating a dynamic visual slice; Storing the dynamic visual slice in association with the corresponding modification data item.

7. The special effect review task flow management method of claim 6, wherein, The step of matching a corresponding simplified review model from a pre-set priori knowledge base with multiple simplified review models according to the key modification data, and constructing a virtual review scene in combination with the corresponding simplified review model to enable the reviewer to review the current key modification data in the virtual review scene, further includes: In the virtual review environment, the dynamic visual slice is presented through picture-in-picture or superimposed display, enabling the reviewer to evaluate the visual effect of the key interaction area corresponding to each data modification item against the dynamic visual slice.

8. The special effect review task flow management method of claim 7, wherein, The step of presenting the dynamic visual slice in the virtual review environment through picture-in-picture or superimposed display, enabling the reviewer to evaluate the visual effect of the key interaction area corresponding to each data modification item against the dynamic visual slice, specifically includes: According to the key frame information of the dynamic visual slice, marking the corresponding key frame 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 synchronously, and the core nodes of the dynamic visual slice and the virtual review scene in the data modification item are highlighted.

9. The method of claim 1, wherein the special effect review task flow management method is characterized by, The step of outputting a review result according to the reviewer's review in the virtual review scene, and making a decision output on the special effect engineering file to be reviewed according to the review result, specifically includes: Recording the time spent by the reviewer in a virtual review scene, the adjusted parameter values, and the judgment results; Associating the time spent, the adjusted parameter values, and the judgment results with the current special effect engineering file to be reviewed and outputting the review result; Making a decision output on the special effect engineering file to be reviewed according to the review result.

10. A special effect review task flow management system, characterized by, The step of outputting a review result according to the reviewer's review in the virtual review scene, and making a decision output on the special effect engineering file to be reviewed according to the review result, specifically includes: A data processing and obtaining module is configured to preprocess a special effect engineering file input into the special effect review task flow management client to obtain key modification data, wherein the key modification data contains a plurality of data modification items; A model construction and review module is configured to match a corresponding simplified review model from a pre-set prior knowledge base with a plurality of simplified review models according to the key modification data, and construct a virtual review scene in combination with the corresponding simplified review model, so that the reviewer reviews the current key modification data in the virtual review scene, wherein the changes indicated by each data modification are presented in the virtual review scene; A review result and decision output module is configured to output a review result according to the review of the reviewer in the virtual review scene, and output a decision for the special effect engineering file to be reviewed according to the review result.

Images