873 results about "Content distribution" patented technology

The invention discloses a media content production and distribution integrated system based on multi-agent collaboration, and relates to the technical field of media content production and distribution. The system comprises a content creation multi-task intelligent system, an audience analysis multi-task intelligent system and a media content distribution module, and the content creation multi-task intelligent system comprises a topic selection planning agent, a text creation agent, an article illustration agent and a content evaluation agent. The audience analysis multi-task intelligent system comprises a data processing agent, a user portrait agent and an interest prediction agent, and through functions and cooperation of the agents, an AI large language model and a multi-agent cooperation technology can be introduced, so that a full-service process from media content production to media content distribution can be automatically opened, and the efficiency is improved. And automatic production and personalized distribution of the media content are realized, the production efficiency and the propagation effect of the media content are greatly improved, and practical application and popularization are facilitated.

The invention provides a private domain live broadcast content distribution and visitor interaction method and system based on edge computing, and relates to the technical field of edge computing, and the method comprises the steps: constructing a distributed collaborative network through the hierarchical deployment of edge computing nodes of a core layer, a region layer and an access layer; the regional layer nodes collect load state information, predict access popularity by using federated learning, LSTM time sequence prediction and an attention mechanism, construct an adaptive content distribution model, and optimize content caching and distribution; the access layer node collects user multi-mode interaction data, including user input, equipment perception and social interaction data, identifies an interaction mode through an attention mechanism, and fuses historical data to generate an intelligent interaction strategy, thereby realizing personalized recommendation and real-time interaction.

Aspects of the present disclosure may include systems and methods generating visual content. The system may detect input of descriptive text associated with text content or audio content. The system may generate, based on the descriptive text, an initial latent representation by using a finetuned latent diffusion model. The system may apply a denoising process to the initial latent representation to produce a refined latent representation. The system may sample data points from a content distribution associated with prior timesteps and from a style distribution associated with subsequent timesteps, thereby generating a final image latent. The system may decode the final image latent to obtain a visually aligned image(s) corresponding to the descriptive text. The system may output the visually aligned image(s) on a user interface or a display.

The invention provides a front-end performance optimization method based on cache management, and the method comprises the steps: S1, collecting and processing user behavior data, and obtaining target data; s2, analyzing a user behavior based on the target data, constructing a user behavior model, and predicting an access demand of a user by using a prediction algorithm to obtain a prediction model; s3, generating a caching strategy based on the user behavior model and the prediction model; and S4, storing resources on the client, the server and the content distribution network node based on the caching strategy. The cache hit rate is improved; the caching strategy is dynamically adjusted according to the actual use condition of the user, and the user requirement is more accurately met; the cache preloading mechanism can shorten the response time of the user request, can adapt to different user behaviors, and improves the user experience. The system and the electronic equipment provided by the invention have corresponding advantages.

The invention discloses a scheduling system of a content distribution network based on edge computing, and relates to the technical field of computer networks. An edge resource sensing module; an NLP semantic analysis module; reinforcing a learning scheduling engine; a semantic and resource linkage module; and a federation collaboration module. According to the scheduling system of the content distribution network based on edge computing, semantic understanding is carried out on a request of a user to analyze a deep intention of the user, edge node multi-dimensional state sensing data and a semantic label vector are integrated, a scheduling action is generated based on a node state and the user intention, and the scheduling effect is improved. Therefore, each edge node is fully utilized while user requirements are met, the edge nodes have caching, computing and scheduling capabilities, the limitation of surface feature matching of a traditional CDN is broken through, technical upgrading from traditional file type recognition to intention understanding and from a fixed rule to dynamic intelligence is realized, and finally, the resource efficiency and service quality of the CDN are improved.

The invention discloses a hierarchical traffic prediction-based multi-terminal video display adaptive method, which comprises the following steps of: acquiring network traffic, user behaviors and equipment state information in real time by constructing a multi-dimensional feature acquisition module, and generating a dynamic feature matrix containing traffic, interaction and performance features; processing the feature matrix by using a deep learning model, and generating and dynamically adjusting a network traffic grading prediction result; formulating an optimized video content distribution strategy based on a prediction result and equipment performance parameters, and coordinating multi-terminal resource distribution; through user behavior analysis and network state monitoring, a self-adaptive video display control strategy is generated, dynamic adaptation of video resolution, frame rate and playing logic is realized, a full-link collaborative optimization module is constructed, terminal, network and application layer resource allocation is coordinated, a video transmission and display strategy is optimized, and network flow prediction and multi-terminal interaction requirements are combined to realize multi-terminal interaction. And generating a dynamic video layout and content switching strategy.

A computer-implemented method of using affinity profiles to determine at least one audience category that is expected to consume a selected item of content, the method comprises:obtaining affinity profiles for a plurality of users of a content distribution system, wherein each affinity profile comprises at least one selected affinity category or affinity category score, and the affinity categories are selected from a stored set of affinity categories, each representing a user's affinity for a respective subject area;determine an audience that is expected to consume the selected item of content based on the affinity profiles of the users.

The invention relates to the technical field of encryption communication, in particular to a distributed vehicle-mounted advertisement node encryption communication and tamper-proofing system. Comprising a vehicle-mounted advertisement node layer, an edge computing layer, a block chain layer and a cloud platform layer, the vehicle-mounted advertisement node layer is composed of a plurality of vehicle-mounted advertisement nodes and is responsible for collecting vehicle sensor data, playing advertisement content and performing local encryption. The edge computing layer is composed of edge computing nodes distributed in a regional base station or a road side unit and is responsible for dynamic key distribution, lightweight data verification and node state monitoring; the block chain layer comprises an advertisement evidence storage module and an identity management module, adopts an alliance chain, stores advertisement content hash, node identity certificates and operation logs, and ensures that data cannot be tampered; the cloud platform layer comprises an advertisement distribution module, a secret key life cycle module and an anomaly analysis module, and is responsible for global advertisement content distribution, secret key life cycle management and anomaly detection analysis.

The invention relates to the technical field of editing and special effect generation, in particular to a digital media content intelligent editing and special effect generation system based on artificial intelligence. Comprising a content understanding analysis module, an editing decision module, a special effect generation preview module, an audio processing module, a dynamic transition special effect module, a subtitle generation editing module, a virtual interaction module and a content distribution optimization module. The content understanding analysis module is used for video content identification and sentiment analysis; and the editing decision module is used for recommending an editing point and providing a dynamic editing strategy. The video content can be automatically analyzed, the editing point and the special effect adding position can be identified, the editing and special effect generation efficiency is greatly improved, the editing strategy and the special effect type can be dynamically adjusted according to the video content and the sentiment analysis result, the editing and the special effect can better meet the user requirement and the video content, and the user experience is improved. Abundant editing and special effect options are provided, and the editing and special effect generation process is simplified.

The invention discloses a CDN-based video downlink weak network adaptive image quality optimization method and system, and relates to the technical field of video content distribution. The method comprises the following steps: S1, generating a basic compensation amount according to frame interval deviation and frame content complexity; s2, calculating a rendering overhead index and a rendering urgency threshold according to the state of the multi-source equipment, and generating an interpolation correction coefficient for frame rendering time sequence adjustment; s3, constructing a channel damage quantization map segment trigger redundancy control and introducing an equipment load state constraint; and S4, basic waiting time is generated according to local historical features, and a final waiting time value is generated in combination with the playing buffer area state and the composite load factor. Through cooperation of frame time sequence compensation enhancement, rendering scheduling optimization and segmentation redundancy control strategies, improvement of video image quality stability and end side load adaptability in a weak network environment is realized.

The invention relates to an edge computing-oriented distribution task self-adaptive load prediction method and system and a medium, and aims to solve the problems that a traditional resource configuration mode is difficult to meet the quality requirement of content distribution along with explosive increase of mobile data traffic, large-scale invalid data transmission is often caused, and the service quality is influenced. According to the task-sending adaptive load prediction system based on edge computing, content caching and intelligent resource allocation are carried out at network edge nodes, so that the data transmission delay is remarkably reduced, and the response speed is increased. The system drives local workload prediction through incremental expression of historical service data, introduces a position information coding mode based on a Transform architecture, and effectively identifies and processes key features in load changes, so that the resource utilization rate of edge devices is improved, and efficient management of the edge devices is realized.

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 discloses a cross-platform content distribution intelligent adaptation method and system. The method comprises the following steps: acquiring multi-modal original input content; performing feature extraction on the multi-modal original input content to obtain a content feature group; obtaining platform feature parameters of the target distribution platform; obtaining a feature matching degree between the content feature group and the platform feature parameter; generating a content transformation scheme according to the platform feature parameters and the feature matching degree; and according to the content transformation scheme, carrying out transformation adjustment on the multi-modal original input content to obtain transformation content. According to the technical scheme provided by the invention, the original content is subjected to intelligent transformation adaptive to each platform; various content forms are supported, and the application scene is wide; quality evaluation and optimization are carried out on the transformation content, and the quality and the effect are improved; a publishing strategy is formulated, and content value maximization is achieved; fast access of a new platform is supported, a feature library is continuously optimized and updated, and a content modification scheme is dynamically adjusted; and the multi-platform operation efficiency is obviously improved.

The invention discloses a network resource loading method and system, electronic equipment and a storage medium. The method relates to the technical field of computer networks, is applied to a server, and can comprise the steps that a page access request of a client side is obtained, and the page access request is used for requesting the server to access a page; in response to the page access request, identification information is identified from the page access request, and the identification information is used for representing the access authority of the client to the content distribution network; at least one target page matched with the identification information and network resources matched with the identification information are determined, the page type of the target page corresponds to the permission corresponding to the identification information, and the source of the network resources corresponds to the permission corresponding to the identification information; and returning the target page to the client, and loading the network resources to the target page. The technical problem of low loading efficiency of network resources is solved.

The embodiment of the invention relates to the field of artificial intelligence, and discloses an edge semantic caching method and device based on a content distribution network, and a storage medium, and the method comprises the steps: obtaining a current prompt inputted by a user, and judging the correlation between the current prompt and the context of the current prompt; after it is judged that the current prompt is related to the context of the current prompt, the current prompt and the context of the current prompt serve as retrieval conditions, and a first target answer is retrieved in a semantic cache pre-deployed in an edge node to which the user belongs; if the first target answer is retrieved, returning the first target answer to the user; and if the first target answer is not retrieved, submitting a current prompt to the large language model to obtain the answer, returning the answer to the user, and storing a prompt of dialogue information determined according to the dialogue information of the user and the large language model, a context and the corresponding answer in a semantic cache pre-deployed in an edge node to which the user belongs. According to the scheme, the hit rate and the accuracy rate of semantic caching can be considered and improved at the same time.

The embodiment of the invention discloses a data transmission method and device, electronic equipment and a storage medium, and the method comprises the steps: after a data distributor in a content distribution network receives a data obtaining request sent by a data requester, searching target data matched with the data obtaining request, the method comprises the steps that a data distributor transmits target data to a data requester through a data transmission channel between the data distributor and the data requester in a content distribution network, and the data distributor transmits the target data to the data requester through the data transmission channel between the data distributor and the data requester; if yes, generating a data migration signaling used for indicating the data requester to obtain the target data from other data distributors, and sending the data migration signaling to the data requester through a signaling transmission channel with the data requester, and the data requester requests other data distributors in the content distribution network to obtain the target data according to the data migration signaling. The method can be applied to the field of intelligent transportation. The embodiment of the invention can improve the data acquisition efficiency.

Improved methods for retrieval of content from CDNs is provided that includes a rendezvous controller that receives information of an identification of content being requested and an estimated location of a content requesting device. Based on this information, the rendezvous system identifies a server within a CDN from which the requested content may be retrieved. The selected server may be based on a repeatable hash function such that the likelihood that the content being requested is cached at the selected server. Steering requests to a server of the CDN which may have the content cached may reduce the number of servers within the CDN with the same cached content, particularly for the highest requested content. The rendezvous system may then return a corresponding domain name associated with the selected server and that can be subsequently submitted to a DNS for resolution to the IP address of the identified server.

Disclosed is a content distribution system including a content server communicatively coupled to a data packet network and running one or more server-side components. A mobile computing device also communicatively coupled to the data packet network and running a client-side component may be configured to: (a) receive from said one or more server-side components a mobile device operational scenario definition; (b) activate or configure one or more monitoring routines in accordance with the device operational scenario definition; and (c) monitor said mobile computing device for an occurrence of the defined operating scenario using the activated or configured monitoring routines.

The invention discloses a website data monitoring method, system and device and a storage medium. The method comprises the following steps: acquiring content distribution of website data, and dividing a key monitoring page and a common monitoring page according to the content distribution; respectively setting monitoring indexes of the key monitoring page and the common monitoring page, and collecting user access parameters according to the monitoring indexes; determining audience characteristics and flow characteristics of the website data according to the user access parameters, and determining an optimization strategy based on the audience characteristics and the flow characteristics; and carrying out content optimization on the website data according to the optimization strategy, adjusting the monitoring index according to an optimization result, and carrying out subsequent monitoring. According to the method, the page with high popularity can be emphatically monitored, meanwhile, the page with low popularity can be effectively monitored, the monitoring efficiency is improved, meanwhile, manual flow statistics is not needed, and the labor cost is saved.

The invention relates to the field of data analysis and cleaning, in particular to a method and system for automatically collecting and cleaning public opinion experimental data. The method comprises the following steps of performing periodic data crawling on a public information website, performing public opinion hotspot analysis, and extracting a to-be-processed hotspot event stream; performing keyword detection and global content distribution analysis on the to-be-processed hot event stream to obtain a keyword frequency distribution diagram; performing negative emotion deep recognition according to the to-be-processed hot event stream, and extracting negative emotion public opinion data; performing negative public opinion evolution trend prediction based on the keyword frequency distribution diagram to obtain a negative public opinion propagation situation; and performing IP address tracing on the negative emotion public opinion data to obtain the negative public opinion region sensitivity. According to the method, comprehensive and accurate abnormal public opinion detection and deletion are realized, and the network information quality and the public governance level are improved.

The invention relates to the technical field of Internet video content distribution and distribution, in particular to a micro and short play content distribution and distribution system. The system comprises a content management module, a user portrait module, a copyright protection module, a commercial realization module and a data analysis module, the content management module realizes efficient uploading, auditing, storage and intelligent distribution of a movie, and content retrieval and popularization efficiency is improved through accurate classification and tagging management; the user portrait module utilizes data preprocessing, feature extraction and clustering analysis to construct an accurate user model, and user experience is improved based on a personalized recommendation algorithm; the copyright protection module comprehensively guarantees content security through request verification, URL encryption, anti-theft link and a dynamic access control mechanism; the commercial realization module adopts various strategies to improve the platform profitability; and the data analysis module optimizes a content recommendation and distribution strategy through big data collection and mining, and improves the overall operation effect. According to the invention, high-quality experience is provided for the user while the rights and interests of the content creator are ensured.

The invention discloses an artificial intelligence algorithm-based e-commerce product recommendation method and system, and relates to the technical field of product recommendation. Comprising the following steps: constructing a user-behavior path flow tree by adopting a multi-criterion splitting mechanism, and generating a node path set; respectively slicing and recombining the user portrait set and the commodity portrait set, and carrying out cross combination; constructing a behavior cluster atlas to which the user belongs, projecting cross commodity nodes in the node path set and the candidate cross mapping set into an anti-cross atlas structure among behavior clusters, and extracting interaction points as a candidate recommendation set; and performing weight regression calculation on each node of the path of the user-behavior path flow tree by utilizing path probability density mapping corresponding to each cross commodity node in the candidate recommendation set, and generating a commodity recommendation sequence according to the maximum path passing probability. According to the method, the recommendation process with the behavior chain criterion and the coupling map mapping is constructed, so that the user experience is improved, and the conversion efficiency and the content distribution capability of the platform are enhanced.

The present disclosure relates to the technical field of computers, and discloses a content distribution network configuration method, apparatus, device, medium and program product, the method comprising: displaying a rule configuration page, the rule configuration page displaying a first condition configuration item of a content distribution network for a target domain name; in response to a configuration operation for the first condition configuration item, configuring and displaying a first condition group; in response to an action configuration instruction for the first condition group, displaying a first action configuration item; in response to a configuration operation for the first action configuration item, a first execution action corresponding to the first condition group is configured and displayed, and the execution opportunity of the first execution action is related to the judgment opportunity of the first condition group; and based on the first condition group and the first execution action, first processing information of the target domain name is generated, and the first processing information is used for processing the access request under the target domain name by the content distribution network. According to the invention, the problem of long time consumption of content distribution network configuration can be solved.

The invention discloses a file transmission control method and device, equipment and a medium, and relates to the technical field of computer network data transmission, and the method comprises the steps: scanning a to-be-transmitted target file, and determining the number of concentrated presentation bytes of various types of data in the target file, thereby determining the packaging length of the various types of data, the length of the sliding window is set accordingly; and acquiring file contents at different sliding window positions from the target file for multiple times, splitting the target file into a plurality of data packets with different packaging lengths according to the data proportion of each type of data in the file contents, and respectively sending the data packets to a data receiver. The packaging length and the length of the sliding window are determined through the number of concentrated presentation bytes of various types of data in the target file, and the data packets are split into a plurality of data packets with different packaging lengths according to the data proportion of the various types of data in the sliding window and are respectively sent, so that the packet length is dynamically optimized according to file content distribution; and the utilization efficiency of the data packet and the file transmission efficiency are improved.

The invention provides a micro-front-end multi-application architecture, a micro-front-end multi-application system and an integration method of the micro-front-end multi-application system. The method comprises the following steps: constructing a main application based on a Vite tool chain; a multi-application universal code warehouse is constructed based on Monorepo; based on the main application and the multi-application universal code warehouse, introducing a Wujie micro-front-end, and constructing a micro-front-end multi-application architecture; performing technical agreement based on a micro-front-end multi-application architecture; based on the technical agreement, transforming a main application and a sub-application which are integrated and accessed into the micro-front-end multi-application architecture, and constructing a multi-application integrated system; according to the dependency relationship of different application resources in the multi-application integrated system, public resources are planned, a CDN content distribution network is constructed, and a distribution strategy of the resources and a distribution service of the resources are constructed; performing configuration setting and construction deployment on the multi-application integrated system and the resource distribution service; according to the method, the problem of'giant application 'of enterprise-level integrated software is solved.

The invention discloses a CDN content caching method, device and equipment, a storage medium and a product. The method can be applied to the technical field of artificial intelligence, is applied to any CDN node in a content distribution network CDN, and specifically comprises the following steps: obtaining user access content data in a first preset time period; inputting the user access content data into a popularity prediction model obtained by pre-training to obtain predicted content popularity of the user access content data output by the model; and determining a target cache hierarchy of the user access content data according to the predicted content popularity, and storing the user access content data to the target cache hierarchy. According to the technical scheme, the access content hit rate of the CDN cache is improved, the CDN performance is improved, and the request processing efficiency of the user access content is improved.

To properly assist reactions from a content distributor in a field of content distribution.SOLUTION: A program causes a computer to execute the processes of: managing past content distributed by a distributor, and activity information, for each viewer, related to activities allowed for the viewers who view at least one of the past content and content currently distributed by the distributor; managing setting information related to reactions of the distributor; obtaining multiple actions from one or more viewers who are viewing the content currently distributed by the distributor; and automatically generating reaction candidates that the distributor can take for one or more specific actions out of multiple actions, on the basis of the activity information and the setting information.SELECTED DRAWING: Figure 15

The invention provides an intelligent reply system suitable for a live broadcast matrix scene. The intelligent reply system comprises a receiving module, an algorithm processing module, a reply generation module, a distribution module and a feedback closed loop module. The receiving module collects user input data and dynamic scene parameters of the live broadcast room in parallel, wherein the parameters comprise audience activeness, content sensitivity and real-time response level. The algorithm processing module dynamically integrates a real-time sentiment analysis algorithm, a semantic association algorithm and a scene adaptation algorithm through a weight distributor to generate a real-time weight. The reply generation module generates self-adaptive reply content according to the output, the distribution module configures a resource allocation strategy, and the feedback closed loop module monitors user interaction indexes in real time and adjusts weight distributor parameters. The reply content highly matched with the live broadcast scene can be generated in real time, and the user interaction experience and the live broadcast efficiency are effectively improved.

The invention relates to a content delivery network (CDN) coverage quality monitoring method and device and computer equipment, and relates to the technical field of CDN coverage quality monitoring. The method comprises the following steps: acquiring an initial user IP list corresponding to each edge node in the content distribution network, screening and summarizing user records in the initial user IP list, grouping the user records in the summarized user IP list, performing network detection on active users in the grouped user IP list corresponding to the node to be monitored to obtain detection data corresponding to each group; and determining a network quality score value of each group according to the detection data, determining the group of which the network quality score value is less than a second preset value as a to-be-scheduled group, and generating scheduling indication information. By adopting the method, the monitoring efficiency of the content distribution network in the aspect of coverage quality can be improved.

The invention provides a PCDN service processing method and device, electronic equipment and a readable storage medium, and relates to the technical field of network security. The PCDN service processing method comprises the following steps: identifying a received data stream based on a data stream feature; and under the condition that the data stream is identified to be a peer-to-peer network content distribution network PCDN scheduling request data stream, performing blocking processing on the PCDN scheduling request data stream. According to the scheme provided by the invention, the PCDN scheduling request data stream can be accurately identified and blocked, other services are not influenced, and the user experience is improved.