51 results about "Digital culture" patented technology

The invention provides a digital culture product right confirmation and data sharing method and system based on a block chain, and relates to the technical field of digital culture, and the method comprises the steps: generating a comprehensive trust score through a self-adaptive trust evaluation model by fusing timeliness, integrity and consistency trust scores, and constructing a self-evolution data trust network and an encrypted data synchronization channel. After smart contract verification, the access authority of the data requester is determined according to the trust score, access features are extracted through a bidirectional long-short term memory network and a multi-head attention mechanism, a proof chain node is constructed, a mapping relation with an authority confirmation certificate is established by using a graph neural network, and the access contribution degree is calculated through homomorphic encryption and federated learning; and finally, performing income distribution according to a sectional income distribution curve. According to the invention, the problems of difficult right confirmation and low data sharing credibility of digital culture products are effectively solved, and safe and controllable data sharing and income distribution are realized.

The invention discloses an AI-based digital culture space full-process intelligent collaborative display system, and relates to the technical field of intelligent collaborative display. The AI-based digital culture space full-process intelligent collaborative display system comprises a data acquisition and construction module used for acquiring three-dimensional point cloud data and text information of a museum to be displayed, and constructing a museum structure display model based on the three-dimensional point cloud data and the text information; the behavior acquisition and analysis module is used for acquiring historical video stream time sequence data and extracting a user behavior index set; the comprehensive response analysis module is used for analyzing the user behavior response index of each collection based on the user behavior index set; the initial display regulation and control module is used for carrying out initial display regulation and control based on the user behavior response indexes, and optimal display regulation and control are carried out on each collection through the local semantic coordination indexes analyzed in the optimal display regulation and control module, so that the collection with the high response index is matched with a preferential visual display position; and thus, the space coordination and the culture vein continuity of the whole display model are enhanced.

The invention belongs to the field of artificial intelligence, and discloses a digital culture creative content generation system based on artificial intelligence, and the system comprises a culture spectrogram construction module which is used for constructing a digital culture knowledge graph; the constraint condition generation module generates a multi-dimensional constraint condition based on the creative input information, and verifies and corrects the multi-dimensional constraint condition to obtain a standardized constraint condition set; a generated content generation module drives a preset generation model to synthesize generated content based on the digital culture knowledge graph and the standardized constraint condition set; and the content verification constraint module decomposes the generated content into N content units, performs historic verification and coordination verification on each content unit, and generates editing constraint content of each content unit based on a verification result. According to the method, the problem of culture inaccuracy is fundamentally solved, and the historic and professional properties of the generated content are ensured.

The invention provides a code detection method and system, computing equipment, a storage medium and a program product, and is applied to a code detection system, the code detection system comprises a code management tool and a detection agent, and the method comprises the following steps: calling the code management tool to monitor a code submission event, and when the code submission event is monitored, sending the code submission event to a server; submission information of a to-be-detected code corresponding to the code submission event is obtained; identifying the event type of the code submission event, and determining a target prompt template based on the event type; and constructing a target prompt word based on the submission information and the target prompt template, calling a detection agent, executing a code detection task based on the target prompt word, and obtaining a detection result for the to-be-detected code. The problems that manual examination efficiency is low and research and development resources are occupied are effectively solved, the overall code examination efficiency and quality are improved, and the method can be widely applied to the fields of digital culture product manufacturing software, digital culture creative software and the like in a new generation of information technology.

The invention relates to the technical field of digital content recommendation, and discloses a digital cultural transmission content recommendation method and system based on a knowledge graph, and the method comprises the steps: constructing a space-time perception knowledge representation model, and introducing a space-time marked tetrad knowledge representation structure; a culture event detection model based on multi-source data fusion is constructed, and real-time detection of culture events is realized; constructing a new culture content discovery and value evaluation model, and automatically identifying and evaluating the emerging culture content; realizing a knowledge graph dynamic updating and expansion algorithm, and responding to cultural events and new contents; and constructing a timeliness-perceived adaptive recommendation algorithm, and balancing the recommendation of hot contents and novel contents. According to the invention, accurate, timely and innovative recommendation of the digital culture content is realized.

The application belongs to the technical field of artificial intelligence, and particularly relates to a digital cultural creative content generation method based on artificial intelligence. The method comprises the following steps: step 1, calculating global text embedding; step 2, obtaining latent variables after manifold transformation; step 3, taking the transformed latent variables as initial states, constructing a potential energy function in a latent space, which comprises text semantic constraints and a global regularization term, and realizing diffusion update of the latent variables through a discrete random differential equation; adopting an inverse Fourier transform method to generate a local texture map; and step 4, taking the generated local texture map as a local driving factor, constructing a partial differential equation based on diffusion and reaction mechanism, and realizing spatiotemporal evolution of image brightness distribution under a preset initial condition, so as to realize adaptive synthesis of image structure layout and generate image content. The application realizes intelligent generation from text description to high-quality image content.

The application discloses a kind of digital culture intelligent resource library construction method and system, belong to digital cultural resource management technical field.The method includes: multi-source heterogeneous layered collection (six categories of resources are synchronously collected by multimodal terminal, high-precision detail capture), adaptive heterogeneous resource standardization processing (personalized algorithm, independent DCIR format), double-branch attention intelligent classification association (accurate classification, mining internal correlation), distributed encryption storage and intelligent indexing (safe and traceable, fast retrieval), dynamic self-optimization and intelligent updating (model incremental updating, resource real-time replenishment).The system, device and medium correspond to realize the above method.The present application completely avoids prior art, realizes the high-precision, intelligent, safe and dynamic construction of digital cultural resources, and improves the efficiency of resource protection and utilization.

The embodiment of the invention provides a model topological structure detection method and related equipment, which can be widely applied to the fields of digital culture product manufacturing software, digital culture creative software and the like in the digital creative industry. The method comprises the following steps: acquiring preset model grid data including vertex data and surface data; performing preset topological structure detection according to the preset model grid data, including at least one of model shell integrity detection, model internal and external inversion detection and shell cross detection, so as to generate a model topological structure detection result; the step of carrying out model shell integrity detection comprises carrying out matching analysis on directed edges determined by vertex data and surface data, and the step of carrying out model inside and outside inversion detection and shell cross detection comprises carrying out ray emission according to normal data determined by the vertex data and the surface data, and carrying out detection analysis in combination with a hitting result of rays. According to the embodiment of the invention, model topological structure anomaly detection can be realized, the recognition accuracy and efficiency are improved, and the rendering anomaly problem is reduced.

The application discloses a scene-driven Chinese culture digital identification and real-time output method and system, and relates to the technical field of digital culture, comprising a Chinese culture digital identification real-time output method, and the steps of the Chinese culture digital identification and real-time output method are as follows: step one, constructing a Chinese culture element library, establishing a cultural knowledge graph and a scene label system, and forming a correlation index and an aesthetic constraint rule of culture elements and scenes.The application has the advantages that: through a scene driving + knowledge graph double-engine architecture, the accurate vector and the vector length adaptive matching of culture content, space, behavior, terminal and intention are realized, the culture expression selected by partial human judgment and in compliance is more suitable for the scene, more natural and more immersive, the transmission efficiency and the user education experience are significantly improved, and through a globally unique identification + blockchain traceability right confirmation mechanism, each Chinese culture digital identification is endowed with a digital identity which is tamper-proof, verifiable and can be circulated across platforms.

The invention provides a data processing method and device, equipment, a storage medium and a product, and the data processing method comprises the steps: obtaining to-be-evaluated content and a plurality of target digital twin bodies, and enabling the target digital twin bodies to be pre-constructed based on the user historical data of a target real user; according to the to-be-assessed content and the digital twinborn information of each target digital twinborn, generating assessment information of each target digital twinborn for assessing the to-be-assessed content; and obtaining an assessment result for the to-be-assessed content according to each piece of assessment information. The method can be widely applied to the fields of digital culture product manufacturing software, digital culture creative software and the like in a new generation of information technology.

This specification provides a method, apparatus, device, medium, and program product for rendering flexible objects. The method includes: acquiring reference pose information for each bone point in the skeletal chain of the flexible object, wherein the constraint pose information of the endpoint bones is determined based on the pose of the connected objects of the endpoint bones; determining endpoint pose information based on the reference pose information of each endpoint bone; performing physical simulation based on the reference pose information of intermediate bones to obtain intermediate pose information, wherein the intermediate bones are bone points located between the endpoint bones; and rendering the flexible object based on the endpoint pose information of each endpoint bone and the intermediate pose information of the intermediate bones. This solution differentiates the processing of endpoints and intermediate bones, balancing precise control with physical realism, achieving accurate and natural flexible simulation. It can be widely applied to digital cultural products in the next-generation information technology fields such as games and virtual reality.

The invention relates to a cultural product value evaluation and recommendation method and system based on multi-party cooperation, and is suitable for working scenes of cultural product value evaluation and analysis, cultural resource recommendation, cultural heritage protection and the like. The method comprises the following steps: constructing a data sharing network through an application programming interface or a data sharing protocol; data integration and privacy protection; in the three aspects of legal value, economic value and cultural value, the value of the cultural product is evaluated according to corresponding evaluation standards in combination with expert experience and a machine learning algorithm, and the weight of each dimension is dynamically adjusted; the method comprises the following steps: identifying interest points and preferences of a user through user behavior data, constructing a user interest map, converting the user interest map into low-dimensional vector representation, and generating a recommendation list by adopting a collaborative filtering algorithm. The invention provides an efficient, safe and explainable cultural product value evaluation and recommendation scheme for the digital cultural industry.

The invention discloses an image super-resolution reconstruction method and system, and belongs to the field of digital cultural heritage protection, and the method comprises the steps: constructing a multi-resolution image pyramid, carrying out the semantic analysis based on a low-resolution layer, recognizing a key structure and a uniform region, and generating a self-adaptive dicing strategy; dynamically selecting a super-resolution model in combination with texture complexity grading through streaming loading of the blocks and the overlapping bands to a GPU (Graphic Processing Unit); and executing global color micro-correction in a Lab color space, and generating a seamless high-definition image by applying Poisson fusion in an overlapping zone region. According to the method, boundary artifacts, texture fractures and color deviations caused by blocking processing can be eliminated, video memory occupation is reduced, and calculation efficiency is optimized.

The invention provides a virtual object rendering method and device.The virtual object rendering method is applied to a rendering platform and comprises the steps that in response to a stylized rendering request for a virtual object, an initial coloring model is created, and the initial coloring model is created based on stylized information of the stylized rendering request; obtaining a target dynamic normal adjustment rule and a target texture set corresponding to the virtual object, and adjusting initial normal information corresponding to the initial coloring model based on the target dynamic normal adjustment rule to obtain a target coloring model, the target dynamic normal adjustment rule and the target texture set are generated based on a user-defined adjustment module of the rendering platform; and rendering the virtual object according to the target coloring model and the target texture set to obtain a target rendering result. The rendering method can be widely applied to the fields of virtual display processing software, digital culture product manufacturing software, digital culture creative software and the like in the digital creative technology.

The invention relates to the technical field of digital cultural heritage protection, in particular to an ancient musical instrument digital duplicating method based on an acoustic modeling and 3D printing technology, which comprises the following steps: synchronously executing geometric structure data acquisition and acoustic characteristic data acquisition on an ancient musical instrument body to be duplicated; constructing a parameterized physical acoustic model based on the acoustic characteristic data; preparing a physical entity copy of the ancient musical instrument through an additive manufacturing technology by utilizing the geometric structure data; carrying out acoustic characteristic data acquisition on the physical entity copy to obtain an acoustic response of the physical entity copy; and carrying out comparative analysis on the acoustic response of the copy, the acoustic response of the original musical instrument body and the output of the physical acoustic model, and carrying out iterative optimization. Through a multi-dimensional data collaborative acquisition mechanism and a sound-shape fusion verification and iteration calibration process, high-precision digital reproduction of shape, sound and playing integration is realized, and the problem of shape and acoustic data separation in the background technology is solved.

The invention provides an automatic program monitoring system and method based on set top box transformation and AI analysis, and relates to the technical field of digital culture, in the invention, a heterogeneous device is utilized to control a terminal simulation instruction, and an HDMI encoder is combined to realize stock asset streaming access and matrix polling; the transmission continuity of the weak network is guaranteed by adopting code rate adaptive logic, a parallel dual-core AI engine is constructed to fuse picture semantics, physical characteristics and MFCC audio fingerprints, and content violation and audio abnormity are accurately recognized; introducing a closed-loop self-healing strategy, judging a fault through a motion vector, and triggering a power supply to restart and reset; and constructing a weighted evaluation model based on the alarm severity, the operation and maintenance scene coefficient and the weight coefficient, and realizing adaptive distribution of response priorities. According to the method, the old utilization upgrading cost is effectively reduced, the deep fusion efficiency of technology monitoring and content supervision is improved through a privacy desensitization and model increment updating mechanism, and safe broadcasting of radio and television is guaranteed.

This specification provides an audio adaptation method, system, computing device, and storage medium. The audio adaptation method includes: acquiring a user's audio perception information and initial audio data in a virtual scene; determining a first matching degree between the audio perception information and the initial audio data; and adjusting the initial audio data based on the first matching degree to obtain first audio data. This enables the adjusted audio data to match the user's auditory characteristics, avoiding situations where the user cannot perceive key sound effects due to excessively low loudness, or where excessively high loudness causes auditory fatigue and hearing damage. It satisfies the personalized needs of users with different hearing abilities for audio output effects, improves the user's auditory experience, and can be widely applied in the fields of digital cultural and creative product production software and digital cultural and creative software in the next-generation information technology field (such as artificial intelligence, virtual reality, etc.).

The invention provides a data processing method and device.The data processing method comprises the steps that initial burying point information and a target service code file are obtained, and the burying point information comprises burying point identifiers of burying points and the service code file where the burying points are located; determining reference burying point information according to the target service code file; according to the initial burying point information and the reference burying point information, determining a to-be-processed burying point from burying points corresponding to the reference burying point information, and simulating and running the target service code file to obtain a simulated burying point log of the to-be-processed burying point; evaluating the to-be-processed buried point according to the simulated buried point log and a preset evaluation standard to obtain evaluation information; and updating the initial burying point information according to the evaluation information to obtain target burying point information. The method can be widely applied to the fields of digital culture product manufacturing software, digital culture creative software and the like in a new generation of information technology.

The application discloses a method for realizing dynamic visualization of non-heritage pictures, and belongs to the cross field of computer vision and digital cultural heritage protection. The method comprises the following steps: collecting non-heritage pictures and text instructions containing dynamic requirements and respectively preprocessing; completing semantic labeling and image segmentation based on a hierarchical labeling system combined with a ResBlock-CBAM enhanced U-Net; detecting key points according to non-heritage object types; introducing a cultural constraint mechanism, selecting a GANs model to fuse features to generate dynamic data; previewing and iteratively optimizing, and the method can also integrate style picture features. The method can improve labeling and segmentation accuracy, guarantee the cultural authenticity of dynamic effects, improve generation efficiency, adapt to various non-heritage scenes, and optimize user experience, and is suitable for non-heritage digital inheritance.

This invention discloses a system and method for the activation and dynamic deduction of digital cultural heritage based on neural symbols and multi-agent collaboration. First, the system transforms unstructured ancient Chinese documents into machine-readable neural symbol vectors through a two-layer semantic mapping mechanism, combined with fine-tuning of a large language model and semantic dependency analysis. Second, it instantiates intelligent agents representing cultural relics or historical figures, dynamically calculating their health status and updating their memory bank based on environmental parameters. Third, it drives a multi-agent network composed of researchers, simulated actors, and critics to collaborate and engage in game theory under the constraints of a geographic information system and spatiotemporal rules, generating historically accurate and logically consistent historical narratives. Finally, it outputs multimodal results and updates the knowledge base, realizing the transformation of cultural heritage from static archives to dynamic deduction, improving the accuracy of historical semantic understanding and the depth of narrative logic.

The invention provides an application program performance monitoring method and system, electronic equipment and a program product. According to the scheme, a resource configuration file of a role model in a target application program is obtained; performing model resource analysis calculation processing on the resource configuration file to obtain model resource data; performing data report generation processing on the model resource data to obtain an application program performance report; and performing performance optimization processing on the role model according to the application program performance report to obtain an optimization result. According to the scheme, the efficiency of application program performance monitoring can be improved, and the method can be widely applied to the fields of animation game making engine software and development systems, digital culture product making software, digital culture creative software and the like in the digital creative industry.

The invention discloses an intelligent manufacturing system and method for a text travel digital cultural product based on a large model, and relates to the technical field of text travel digitization, and the system comprises a data graph module which receives and processes multi-source data, and constructs a text travel knowledge graph; the semantic extraction module is used for finely tuning the model to extract semantic tags, and calculating and verifying the tag reliability; the gene pool matching module is used for retrieving a gene pool and matching visual features with cultural relic parameters; the double-drive dynamic generation module is used for generating a static model and simulating dynamic evolution in combination with semantic vision; the achievement verification output module is used for converting the data into multimedia, verifying the similarity and judging the achievement; according to the invention, through semantic-vision dual-drive dynamic generation and multi-dimensional verification of a closed loop, it is ensured that digital products fit historical logic of cultural relics; meanwhile, through multi-source data integration, semantic optimization and gene pool accurate matching, full-process data and semantic optimization is achieved, and the problems of semantic vision disjunction, data fragmentation and the like in traditional text travel digitization are solved.

The embodiment of the invention provides an interactive animation generation method and device, and the method comprises the steps: determining a to-be-interacted first object and a to-be-interacted second object in response to an interactive animation generation request, and obtaining the first object information of the first object and the second object information of the second object; obtaining a to-be-executed target interaction action based on the first object information; determining an initial response action of the target interaction action based on a response action library, and adjusting the initial response action based on the second object information to obtain an updated response action; and generating an interaction animation of the first object and the second object based on the target interaction action and the update response action. According to the method, the excellent animation expressive force is obtained, meanwhile, independent interactive animations do not need to be made for each object and action combination, the resource use efficiency and development efficiency are improved, and the method can be widely applied to the field of digital culture creative software in the digital creative industry.

The present specification provides a data processing method and device, which can be widely applied in the field of digital cultural product production software and data cultural creative software. The data processing method comprises: in response to a rendering request for a target scene, obtaining resource identifiers of at least one scene resource in the target scene, wherein the resource identifiers comprise level identifiers for identifying levels to which the scene resources belong, and the rendering request carries performance configuration parameters; determining a target level identifier from the level identifiers according to the performance configuration parameters; determining a target scene resource from the at least one scene resource according to the resource identifiers containing the target level identifier, and rendering a target scene corresponding to the performance configuration parameters according to the target scene resource. Through fine control of the performance configuration parameters, the best visual effect under different performance requirements is ensured, and stable and scalable data support for the rendering quality of large digital cultural product projects is provided.

The specification provides a resource processing method, a computing device, a storage medium and a computer program product, wherein the resource processing method comprises: determining a target update resource corresponding to a target object; determining an associated update resource associated with the target update resource according to a resource association relationship corresponding to the target object, and determining target configuration data corresponding to the target update resource and / or associated configuration data corresponding to the associated update resource; integrating the target update resource, the associated update resource, the target configuration data and / or the associated configuration data to obtain update resource information corresponding to the target object, and submitting the update resource information to an update database of the target object. The resource processing method can be widely applied to the fields of digital cultural product production software, digital cultural creative software, digital cultural creative design, etc. in digital creative technology.

This application provides a method and system for managing activities related to ancient architecture research and study, relating to the field of digital culture. The method includes: acquiring multi-source data on ancient architecture and basic data of research and study users; performing entity recognition and relationship extraction on the multi-source data to construct a knowledge graph of ancient architecture and form structured knowledge of ancient architecture; constructing a set of rules for the knowledge graph of ancient architecture based on the multi-source data and the knowledge graph of ancient architecture; constructing user profiles based on the basic data of research and study users and the knowledge graph of ancient architecture; the user profiles are used to characterize the user's cognitive level, interests, preferences, and learning abilities; retrieving knowledge subgraphs from the knowledge graph that match the user profiles, and generating research and study activity paths. This application, used in the management of activities related to ancient architecture research and study, solves the technical problem that existing technologies cannot meet the needs of multi-dimensional knowledge integration and application in ancient architecture research and study activities.

The method is digital protection inheritance and activation utilization of historic and cultural heritage historic buildings, and is characterized in that modern surveying and mapping data of the historic buildings are used as a basis, a construction algorithm is used as a core, and the modern surveying and mapping data are restored into original design blueprint data of the historic buildings through calculation, conversion and valuing of construction parameters and construction moduli; and on the basis of original design blueprint data, three-dimensional digital building modeling of the ancient building is realized, and finally an immersive digital culture product with augmented reality (XR) interactive experience is created to serve the development of the digital culture industry and the digital travel industry.

The embodiment of the invention provides an application resource data collection method and related equipment, which can be widely applied to the fields of digital culture product manufacturing software, digital culture creative software and the like in the digital creative industry. The method comprises the following steps: constructing a preset resource management unit; wherein the preset resource management unit comprises a resource loading detection subunit; constructing an application driving unit according to a preset application execution mechanism, executing application operation simulation through the application driving unit, and triggering an application resource loading request; wherein the preset application execution mechanism is determined based on a target application program; the application resource loading request is detected through the resource loading detection subunit, and then target loading resource data is acquired. According to the embodiment of the invention, the resource data used by the application client can be accurately obtained, so that the problem of resource redundancy of the client is effectively relieved.

The invention discloses a digital culture symbol automatic fusion method based on a generative adversarial network, and relates to the field of digital art, computer vision and deep learning, and the method comprises the following steps: S1, carrying out the preprocessing of a digital culture symbol image; s2, extracting feature vectors by using a convolutional neural network; s3, generating a symbol fusion image by using a generator; s4, evaluating the authenticity of the symbol fusion image through a discriminator; s5, continuously iteratively generating the weight of the adversarial network by using an improved RAdam algorithm; s6, optimizing the visual quality of the symbol fusion image; s7, calculating information entropy to score image quality; and S8, providing a user interaction visualization function. According to the method, the self-attention generative adversarial network and the deep learning technology are combined, the digital culture symbols are accurately and efficiently generated and fused, and the method is particularly suitable for automatic processing of complex backgrounds and diversified symbols and has a wide application prospect.

The invention belongs to the technical field of digital cultural heritage protection, and discloses a deep learning-based non-abandoned skill motion capture and digital reproduction method, which comprises the following steps of: obtaining original motion data and carrying out multi-modal fusion on the original motion data to obtain fused motion data; constructing a three-level action characteristic spectrum based on the fused action data, and constructing a fine action key frame sequence for a characteristic sequence in a fine operation layer in the three-level action characteristic spectrum; the key frame sequence is optimized in combination with time continuity and space coordination constraint, and enhanced action feature representation is obtained; semantic annotation and digital action reconstruction are carried out on the enhanced action feature representation; according to the method, the fidelity of skill details and the interpretability of cultural semantics are remarkably improved, and high-quality technical support is provided for non-abandoned inheritance and digital protection.