212 results about "Cloud rendering" patented technology

The invention provides a large-scale scene multi-level-of-detail cloud rendering processing method and device based on 3DGS, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: dividing a target modeling scene into a plurality of sub-blocks; performing particle redundancy reconstruction and overlapping region marking on boundary regions between adjacent sub-blocks of each sub-block to obtain processed sub-blocks; performing multi-detail level division on each processing sub-block to generate a particle level set; determining a current visual area according to the user motion data, and scheduling a target hierarchy of a particle hierarchy set in the current visual area; the rendering tasks of all the processing sub-blocks of the target hierarchy are distributed to a plurality of rendering nodes to execute real-time rendering operation; and performing video stream coding on pictures rendered by each rendering node, decoding and displaying received video stream data, and performing particle level updating and re-rendering operation according to an interaction instruction. According to the invention, high-quality detail rendering can be realized for a model of a large scene.

The invention relates to a high-fidelity cloud rendering cluster scheduling method and system, and the method comprises the steps: receiving a rendering task, generating a multi-level priority queue according to the task complexity, timeliness and resource demand classification, and automatically optimizing a scheduling strategy; monitoring the resource state of the heterogeneous computing node in real time; allocating tasks by using preemptive and round-robin scheduling strategies, and adjusting and coping with resource fluctuation in combination with a dynamic code rate; the tasks are decomposed by adopting a spatial blocking and time framing strategy, and an execution sequence is controlled according to a topological sorting algorithm; abnormal nodes are identified through heartbeat detection, and affected subtasks are migrated through incremental task updating. According to the method, efficient resource allocation, scheduling algorithm and idle key frame scheme can be realized, the GPU directly outputs the video stream, the rendering speed is remarkably improved, resource waste and operation cost are reduced through a dynamic resource allocation mechanism, a fault-tolerant mechanism is provided, the task is ensured to be normally completed under the condition of node fault, and the task efficiency is improved. And distributed rendering and synthesis of large-scale high-resolution images are supported.

The invention relates to the technical field of computer systems and human-computer interaction, in particular to a text travel element universe virtual role collaboration system and method based on large-space interaction. The method specifically comprises the following steps: tracking a user spatial position in real time through a multi-source positioning technology, and carrying out identity authentication and equipment legality verification by fusing multi-modal features; constructing a virtual-real fused semantic point cloud structural body, binding role interaction nodes, dynamically generating a task collaboration graph by using a graph neural network, and driving multiple roles to collaboratively execute subtasks; calling a graph attention network and a GPT module to deduce personalized plot branches in combination with user multi-modal input and a historical track, and rendering an immersive interactive scene in real time; spatial preferences and content interests are mined by adopting DBSCAN clustering and depth feature coding, a dynamic portrait is constructed, and a task path and content presentation are optimized through a weighted recommendation algorithm. According to the method, cloud rendering, edge calculation and cross-module cooperative control are integrated, and the interactivity and immersion experience of the text travel element universe are remarkably improved.

The invention provides an image quality enhancement method and system based on a cloud game, and the method comprises the following steps: firstly, a cloud end renders a game picture and generates an initial video stream; then, performing preliminary optimization on the video stream, and reducing jumping and frame loss through motion compensation of an inter-frame motion vector; the optimized video stream is transmitted to a user side, after the user side receives the video stream, image quality enhancement processing is carried out, specifically, denoising processing is carried out, and random noise and compression noise are eliminated by combining an inter-frame difference method and spatial domain bilateral filtering; sharpening enhancement: enhancing image edges and texture details by using a Laplacian operator; artifact removal: removing compression artifacts through frequency domain filtering; the dynamic contrast is enhanced, and gray level distribution is adjusted through histogram equalization; finally, the video stream after enhancement processing is presented to a user in real time, the image quality of the cloud game can be remarkably improved by gradually updating the processing result of each pixel point, the video stream is presented in real time in a high-quality mode, and the user experience is optimized.

The invention discloses an asynchronous full-speed task scheduling method based on a cloud rendering platform. The asynchronous full-speed task scheduling method comprises the following steps: S1, task submission and state management; S2, a scheduling system regularly queries a retry queue and screens to-be-processed tasks meeting conditions; S3, asynchronous thread processing tasks; by combining scene setting and system architecture, links such as task submission by a user, task service processing requests, task scheduling by a scheduling system and task execution by an asynchronous thread are elaborated, and implementation strategies of key technologies such as dynamic resource allocation, an intelligent retry mechanism and concurrency control are explained in detail.

The invention provides a cloud rendering technology-based cloud CAD online cooperation system and method. The cloud rendering technology-based cloud CAD online cooperation system comprises a front end, a rear end and a network communication module, the rear end comprises a storage layer, a CAD core layer and a view layer, and the CAD core layer processes and updates CAD file data in the storage layer in real time based on any front-end data and renders the CAD file data to a video memory cache. The view layer comprises view sets in one-to-one correspondence with the front ends, any view set comprises a viewport layout module and a video coding module, and the CAD core layer realizes real-time synchronous operation of any front end on the same CAD file data and real-time synchronous operation of any front end on the same CAD file data video memory cache data by sharing the video memory cache. And the information is pushed to all front ends through the network communication module. The method has the advantages that multiple users are supported to edit the same CAD file online at the same time, and therefore interactive free modeling and parametric modeling are completed in a multi-user online cooperation scene.

The invention discloses a volume cloud rendering method and system based on three-dimensional Gaussian splash, and the method comprises the steps: carrying out the feature matching and structure reconstruction of a volume cloud image through an SfM algorithm, obtaining a sparse point cloud in a scene, and representing the sparse point cloud as an anisotropic Gaussian ellipsoid; decomposing the illumination transmission process of the volume cloud into two parts of forward single scattering and internal multiple scattering based on a radiation transmission equation to obtain an illumination modeling formula embedded volume cloud rendering process; determining the contribution of each three-dimensional Gaussian ellipsoid to a rendering result according to the opacity index of the three-dimensional Gaussian ellipsoid, and dynamically cutting the low-contribution three-dimensional Gaussian ellipsoid by adopting a delay deletion strategy to reduce redundancy; a comprehensive loss function is constructed, so that the three-dimensional Gaussian model is focused on the volume cloud region and the structure detail reduction capability is enhanced; and outputting the optimized volume cloud rendering result and the three-dimensional Gaussian model. According to the method, the volume cloud rendering efficiency and quality are effectively improved on the premise of ensuring real-time rendering.

The invention relates to the technical field of power system operation and maintenance training, and discloses a power grid maintenance training system and method based on augmented reality, and the system comprises a cloud rendering and distribution system which is used for rendering an augmented reality scene, generating real-time rendering output, and transmitting the real-time rendering output to terminal equipment through an edge computing node and a content distribution network, and the cloud rendering and distribution system is connected with the real-time dynamic content updating module and the data processing module, and is used for receiving the real-time state data of the equipment and the student operation behavior data, and is responsible for embedding the data into a rendering scene. The performance requirement of the terminal equipment is remarkably reduced through the cloud-based XR service, real-time rendering and transmission of high-quality content are realized by combining cloud rendering and edge computing with the content distribution network, and low-delay and smooth experience can be kept under the condition of network fluctuation, so that the network adaptability of the system is improved, and the hardware cost is reduced.

The invention provides a spatial path visualization method and device for coupling a place name label and a Voronoi diagram, and relates to the technical field of geographic information visualization, and the method comprises the steps: carrying out the preprocessing of obtained initial path data, and generating a path point sequence; obtaining a point-of-interest score corresponding to the specific type parameter of each city in the path point sequence, and determining a first display space corresponding to each city based on the sum of the point-of-interest scores, determining a second display space corresponding to the specific type parameters of each type in the first display space based on the interest point scores of the specific type parameters of different types in each city; and performing word cloud rendering on the second display space to generate a visual path parameter display diagram. According to the method, the spatial region is hierarchically divided through the weighted Voronoi graph, and the sub-regions are filled with the corresponding POI word cloud information, so that the path visualization has higher information bearing capacity and a more intuitive semantic expression effect.

The invention discloses a digital twinning-oriented multi-engine adaptive rendering system and a digital twinning-oriented multi-engine adaptive rendering method. The adaptive rendering system comprises a component layer, an adaptation layer and an engine layer, the adaptive rendering method comprises the following steps: setting a GPU monitoring index and setting an engine switching condition according to the monitoring index; preprocessing the universal 3D object data, converting a data format into a data format of a corresponding object in a UE engine or a WebGL engine, and distributing the corresponding data to different engines; the method comprises the following steps: streaming different types of data from a Web side to a UE server side according to different schemes by utilizing a pixel streaming function provided by UE and a designed data streaming scheme, then carrying out real-time cloud rendering by a UE engine, streaming a rendering result to the Web side, and displaying the rendering result in real time on a browser; and monitoring the GPU in real time, and selecting a rendering engine according to monitoring data. The problems that an existing rendering engine is single, the rendering effect is not excellent, and GPU performance is limited are solved.

The invention discloses an implementation method and device for cloud rendering of a voice interaction digital human, computer equipment and a readable storage medium, and the method comprises the steps: firstly constructing the voice interaction digital human, carrying out the audio lip movement synchronization and personification configuration, and then carrying out the real-time cloud rendering, and placing the voice interaction digital human in a front-end page. After front-end voice interaction input of a user is obtained, interaction feedback of a digital human is generated through previous configuration, and then the feedback is cloud-rendered to a front-end page in real time. According to the method, the requirements of various industries for high-quality voice interaction digital people are met, meanwhile, the requirements of user equipment are reduced by means of the cloud rendering technology, and the user experience is improved.

The invention discloses a lightweight transmission and loading optimization method for cloud rendering of a high-precision three-dimensional model, belongs to the technical field of network transmission, and aims to solve the problems of large data volume, high transmission delay and slow loading of cloud rendering of the high-precision three-dimensional model. Carrying out importance evaluation on the rendering primitives, constructing a feature matrix and a weight vector, and determining important data points through matrix multiplication; important data points are subjected to lightweight coding and preferential transmission, and non-important data points are subjected to high-strength compression or delayed transmission. At the client side, client importance re-evaluation is carried out on received rendering data blocks, a client feature matrix and a weight vector are constructed, high-priority loading data are determined through matrix multiplication, and decoding, loading and rendering are preferentially carried out. According to the invention, lightweight transmission and rapid loading of the high-precision three-dimensional model are realized, and the user experience and the resource utilization efficiency are remarkably improved.

The invention provides a virtual digital human interaction method and system based on digital twinning, and the method comprises the steps: S1, obtaining an operation instruction of a digital human, carrying out the preprocessing of the obtained operation instruction of the digital human, and obtaining a processed operation instruction of the digital human; s2, triggering a cloud rendering configurator to complete interaction between the digital human and the digital twin system based on the processed digital human operation instruction, and updating the real-time state of the digital twin system; and S3, encoding the updated real-time state of the digital twin system into a pixel stream video, and transmitting the pixel stream video to a client to realize real-time state synchronization of the digital twin system.

The application provides a Windows three-dimensional cloud rendering system, method and device, relates to the technical field of cloud computing, and the system comprises a model data acquisition unit which judges whether a corresponding historical rendering model is stored in a cloud server; three-dimensional model data to be rendered and rendering parameters corresponding to the three-dimensional model data are acquired according to a judgment result; a load balancing unit dynamically distributes according to the node state of a service node, and distributes rendering tasks to a plurality of rendering nodes; a task scheduling unit constructs a cloud rendering node cluster according to all the rendering nodes; rendering tools are deployed according to the cloud rendering node cluster, and local resources are called; and a rendering unit utilizes the rendering tools and the local resources to perform rendering according to the rendering parameters. The application performs task acquisition, load balancing, resource scheduling and rendering execution through various units, enhances the reliability and scalability of the system, and improves the cloud rendering efficiency of Windows.

The invention discloses a cross-platform three-dimensional rendering task allocation co-processing system and method.In the system, a cloud rendering task scheduling module constructs a rendering time consumption prediction model of a rendering task based on triangle throughput rate calibration and video memory bandwidth calibration, and predicts the rendering duration during local rendering; and a cloud rendering task is scheduled based on a frame-level preemptive formula. According to the method, a dynamic unloading strategy is adopted, load balancing between the rendering task of the mobile equipment and the rendering task of the edge node can be realized, the load pressure of the local rendering task is reduced, and the computing power of the edge node is saved to a certain extent; according to the method, a three-order assembly line and frame-level preemptive scheduling mode is adopted, so that the delay between ends is effectively reduced; and under the condition of network jitter, dynamic screening of cloud rendering tasks is realized, local rendering is taken as a main part, and the influence of delay fluctuation is reduced.

The invention discloses an end-cloud collaborative rendering method, and the method comprises the steps: carrying out the basic rendering of a first end-side scene through electronic equipment, and obtaining first basic rendering data; the electronic equipment sends a scene identifier of the first end side scene and a first high-order rendering type to a server; the server stores a first cloud side scene converted from the first end side scene for the first high-order rendering type; the electronic equipment sends the first state data to a server; after updating the first cloud side scene according to the first state data, the server executes preprocessing of a first high-order rendering type on the first cloud side scene to obtain first preprocessing data; the server sends the first preprocessing data to the electronic equipment; and the electronic equipment obtains a first image according to the first basic rendering data and the first preprocessing data, and displays the first image. Therefore, the computing power requirement and the load of the end-side GPU are reduced, the electronic equipment with relatively weak computing power of the GPU can also present a high-order rendering effect, and the user experience is effectively improved.

The invention discloses a hyper-converged server system suitable for edge and end side data centers, and relates to the field of cloud computing. A calculation module; the computing module is arranged at the front part of the case and comprises a plurality of CPU (Central Processing Unit) modules, and the CPU modules are used for providing computing power required by general services; a GPU module; the GPU module is arranged at the rear part of the case, the GPU module comprises a plurality of GPU modules, and the GPU modules are used for providing computing power required by services of cloud rendering, cloud games, AI reasoning and small model training; a fan module; a network switching module; an out-of-band management module; a redundant power source; and a middle plate. By implementing the method, a plurality of computing modules are fused in one server architecture, so that hardware construction is more flexible.

The invention discloses a digital twin modeling and dynamic visualization method based on multi-source heterogeneous data fusion, which comprises the following steps: firstly, constructing a multi-source data access engine, and standardly integrating heterogeneous data such as GIS, IoT, BIM, video monitoring and the like; secondly, realizing rapid three-dimensional modeling by adopting aerial photography of an unmanned aerial vehicle and an AI algorithm, and optimizing rendering performance in combination with an LOD technology; and finally, dynamic visualization and interaction are realized through a spatio-temporal data engine and a cloud rendering technology. According to the method, the problems of scenic spot data islands, low modeling efficiency and large-scale scene rendering lagging are solved, the real-time performance and decision-making efficiency of scenic spot management are remarkably improved, and total-factor scene support is provided for smart tourism.

The invention relates to the technical field of digital twinning, and particularly provides a cloud rendering management method and device, based on digital twinning application, comprising the following steps: S1, calling a cloud rendering service; s2, cloud rendering service logic; and S3, performing automatic operation and maintenance management on the digital twin application program. Compared with the prior art, the method has the advantages that the operation efficiency of the park can be improved, potential risks can be effectively reduced, and powerful data support is provided for scientific decision making.

The invention discloses a middleware-based cloud rendering method and a middleware system, and relates to the technical field of cloud rendering, and the middleware-based cloud rendering method comprises the following steps: creating an application instance, loading the application instance to a cloud rendering platform system, and starting a three-dimensional rendering task; a three-dimensional rendering task is scheduled and allocated through a resource management and scheduling module of the cloud rendering platform system according to the resource use conditions of the load and the server; receiving a three-dimensional rendering task through middleware, and transmitting three-dimensional rendering data of the three-dimensional rendering task between a client and a Web server through a two-way communication module of the cloud rendering platform system to realize real-time communication; and under the condition that the three-dimensional rendering task is finished, waiting for a next rendering task instruction. According to the method, the resource management and operation and maintenance process in the containerized environment can be effectively optimized, and the expandability, stability and usability of the system are improved.

The invention provides an end-cloud unified three-dimensional rendering interface framework, belongs to the technical field of computer graphic rendering, and solves the problems that end rendering and cloud rendering interfaces are not unified and development and maintenance are complex in the prior art by compiling a unified development framework. According to the framework, by introducing a layered framework comprising a unified rendering API, a rendering mode adaptation layer and a rendering execution layer, abstract packaging of bottom layer rendering technologies (such as WebGL / WebGPU, game engine pixel flow and the like) is achieved. According to the method, an application program is allowed to be intelligently and transparently switched between an end rendering mode and a cloud rendering mode through the same API according to conditions such as equipment performance and network conditions. According to the method, the development complexity of cross-platform three-dimensional application can be remarkably simplified, the terminal or cloud computing power is fully utilized to optimize the rendering performance, the consistent experience on different devices is ensured, and the method is particularly suitable for the fields of smart cities, digital twinning, universal three-dimensional visualization and the like.

The invention relates to the technical field of mobile phone end cloud rendering display, and discloses a mobile phone end simulation scene interactive display method based on cloud rendering. The method comprises the following steps: collecting user interaction data, equipment state information and network environment parameters of a mobile phone end, and generating an interaction state monitoring value through validity verification, noise filtering and multi-source integration; extracting a rendering engine configuration parameter based on the monitoring value, and selecting a resolution and detail level balance point through an optimization algorithm to obtain a rendering parameter optimization value; in combination with real-time network delay and equipment electric quantity, a rendering strategy is adjusted according to the optimization value, and an environment response adjustment value is generated; setting a frame rate and an image quality threshold and dynamically applying the frame rate and the image quality threshold to obtain a display threshold set value; capturing a user behavior mode and scene complexity change, analyzing a prediction demand through a time sequence, and generating a scene demand prediction value; and comparing the actual rendering output with the predicted value, calculating an error, feeding back and controlling a rendering process, and outputting an optimized interactive display result.

The invention discloses a computer system for digital human rendering, local equipment and cloud equipment, and belongs to the field of digital human. The computer system comprises local equipment and cloud equipment, and the computer system supports a local rendering mode and a cloud rendering mode. The local equipment is used for sending input information to the cloud equipment; the cloud equipment is used for generating rendering related information according to the input information; in the local rendering mode, the cloud device is used for sending rendering related information to the local device, and the local device is used for obtaining video stream data of the digital human through rendering according to the rendering related information; and in the cloud rendering mode, the cloud device is used for rendering according to the rendering related information to obtain the video stream data of the digital person, and the local device is used for receiving the video stream data of the digital person. The computer system supports two rendering modes, rendering is performed by the local device in the local rendering mode, and rendering is performed by the cloud device in the cloud rendering mode, so that service requirements in different scenes are met.

The invention discloses a point cloud rendering method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original point cloud file, and constructing an index structure for the original point cloud file to generate a to-be-rendered point cloud file; calling a point cloud rendering engine to analyze an index structure in the to-be-rendered point cloud file so as to construct a paging detail level structure; and rendering the to-be-rendered point cloud file by using a point cloud rendering engine according to the rendering nodes in the paging detail level structure. According to the technical scheme, the universality of the point cloud rendering technology is improved, rapid rendering of large-scale point cloud data can be achieved, and the point cloud visualization effect is smoother.

The present disclosure is directed to systems and methods for providing interactive services to a device. For example, a method may include determining service authorization information for a device, the service authorization information being associated with an interactive service on a wireless network. The method may also include determining device policies for the device based on the service authorization information. The method may also include transmitting the device policies to the device, wherein the device policies cause the device to select a cloud rendering server for the interactive service.

The invention relates to the technical field of image processing, in particular to a cloud rendering system and method based on a computer, and the method comprises the steps: a multi-scale feature comparison module analyzes the influence of each feature on an image through collecting the edge, texture and pixel information of the image, analyzing the gradient change of the pixel, measuring the texture distribution, comparing the image features under each resolution, and analyzing the image feature; and generating feature comparison data. According to the method, by deeply analyzing the multi-scale features of the image, accurate capture and optimization of image details are achieved, the overall quality of the image is effectively improved, fine pixel gradient and texture distribution analysis are utilized, image edge processing is optimized, sawtooth and edge distortion are obviously reduced, and the image quality is improved. Compared with the prior art, the method has the advantages that the authenticity and definition of the visual effect are obviously improved in the aspect of dynamic adjustment of color distribution and smoothness, in addition, the resource allocation is optimized on the premise of not sacrificing details through intelligent adjustment of the resolution, and the rendering efficiency is obviously improved.

The invention relates to the technical field of advertisement design, and discloses an advertisement art design computer processing system. The user interaction module is used for receiving advertising art design data input by a user; the data acquisition and preprocessing module is used for acquiring and preprocessing material data of advertising art design; the cloud rendering calculation module is used for performing efficient rendering through distributed calculation resources; and the format recommendation module is used for recommending a proper advertisement format layout to the user based on a machine learning algorithm according to the design requirements and historical design data input by the user. Through the system, the operation effect of advertisement design can be monitored in real time, key indexes such as the popularity degree, the click rate and the conversion rate of advertisements are analyzed through a data feedback function, and the design is optimized and adjusted in time. The function can ensure that the design quality is continuously improved in the advertising process, so that an efficient propagation effect is always kept, and the dynamic change requirement of the market is met.

The invention relates to the technical field of digital human synthesis, in particular to a digital human synthesis system based on an interactive multimedia editing and cloud rendering technology, which comprises a multi-mode interactive editing front end, and the multi-mode interactive editing front end is coupled with a distributed action synthesis engine. The distributed action synthesis engine is coupled with an elastic cloud rendering cluster, and the elastic cloud rendering cluster is coupled with an intelligent synchronous controller. According to the digital human synthesis system based on the interactive multimedia editing and cloud rendering technology, through triple innovation of algorithm-architecture-theory, the end-to-end delay is less than 80ms under film and television level image quality, and a performance benchmark is established for next-generation digital human application; the problem that in the actual use process of a digital man-machine synthesis system in the prior art, when a GPU conducts path tracking under the 4K resolution, the single-frame rendering time exceeds 500 ms, and the 100 ms threshold value of real-time interaction cannot be met is solved.

The invention provides a distributed cloud rendering information flow collaboration method and system based on CIM management, and belongs to the technical field of cloud rendering information collaboration. When a cloud rendering engine of a city information model (CIM) management platform is used for service push pixel flow, the distributed cloud rendering information flow collaboration method and system based on the CIM management are realized by means of platform scheduling management capability and superposition of central message forwarding platform capability; message flow cooperative communication between a client and a server is realized, unified interception, processing and forwarding are carried out on a central message forwarding platform, and message flows are synchronized to pixel flow service clients of the same service, so that synchronization of message flow communication and scene pictures is realized among different pixel flows of the same service, and the synchronization efficiency is improved. The problems that different pixel flow messages cannot communicate and functions cannot be coordinated under the same service and the multi-concurrency scene are solved. The method has the characteristics of flexible use, intelligent distribution, message collaboration, rapid disposal and convenient deployment.

Systems and methods are disclosed herein for inserting supplemental content into cloud-rendered media content, such as video game cutscenes. The media content is rendered and encoded for streaming to a client device. Data related to a current session associated with the client device is retrieved. Based on the retrieved session data, a supplemental content item is identified for insertion into the streaming media content. If an insertion point is detected within the streaming media content, the supplemental content item is streamed to the client device in place of the streaming media content. Once streaming of the supplemental content item has ended, either at the end of the supplemental content item or in response to a request from the client device to skip the supplemental content item, streaming of the streaming media content is resumed.