379 results about "Content delivery" patented technology

A modular system designed for privacy-preserving content recognition and supplemental content delivery across web and mobile environments. The system employs lightweight character sampling and vision-based recognition to generate unique content fingerprints without storing or replicating original data. It features a hybrid processing architecture, using local computing resources for intensive tasks while optimizing performance on resource-constrained devices. Core functionalities include multi-method content fingerprinting, real-time monitoring with adaptive sampling, and secure supplemental content association. Operating entirely on the client-side, it complies with website terms of service and privacy regulations. Advanced features include AI-driven content recognition, blockchain-based verification, and granular content targeting through resizable selection interfaces. This technology enables seamless delivery of supplemental content while preserving privacy, reducing resource usage, and ensuring scalability across browsers, mobile applications, and edge devices. It is particularly applicable in industries such as education, retail, and secure data sharing.

The invention discloses a method for applying linear programming to CDN (Content Delivery Network) scheduling, which relates to the technical field of content delivery networks and comprises the steps of data preparation, strategy layer version smooth configuration, macroscopic layer and microscopic layer linear solution and online execution. Basic data are collected, cleaned and repaired, and a version change rule is set; the macroscopic layer constructs a linear programming model, and the cross-provincial bearing quota is solved with the aim of minimizing the cross-provincial cost; the micro layer takes the quota as a boundary and generates domain name class-node weight vectors in parallel; and adapting a routing request online through weighted rendezvous hashing and request features. According to the method, a dynamic cost matrix and a weight granularity control technology are integrated, the engineering problem of linear programming is solved, second-level response, approximate global optimal scheduling and accurate execution of floating-point-level weight are realized, memory overhead is reduced, smooth updating of a strategy and system stability are guaranteed, and CDN service quality and operation efficiency are improved.

The invention relates to the technical field of audio and video processing, in particular to an unmanned live broadcast management system based on a video streaming technology. The system comprises a data acquisition module used for synchronously acquiring multi-modal real-time data streams including videos and audios from multiple dimensions; the real-time analysis module is used for analyzing the competition and outputting structured data including key events and competition narrative states; the automatic narrative director module is used for generating a director instruction based on the narrative logic model, and controlling shot selection, image-text generation and automatic explanation; the manufacturing and distributing module is used for synthesizing and distributing the final program stream at low delay; and the management module is used for configuring, monitoring, scheduling and managing the live broadcast process. Through multi-modal fusion analysis and narrative logic driving, automation and intelligentization of the whole process from data acquisition to content distribution are realized, the ornamental value, accuracy and management efficiency of unmanned live broadcast are remarkably improved, and meanwhile, the manufacturing cost is reduced.

The present disclosure relates to methods, apparatus, systems, and non-transitory computer-readable storage media for training and using a multi-scale machine learning model for the enhancement of compressed video. According to some examples, a computer-implemented method includes receiving a video at a content delivery service; performing an encode on a frame of the video by the content delivery service that converts the frame from a pixel domain to a transform domain and back to the pixel domain to generate first pixel values and a first residual for a block of the frame at a first resolution; generating a first set of features, by a machine learning model of the content delivery service, for an input, at a first resolution, of the first pixel values and the first residual of the block; generating a second set of features, by the machine learning model of the content delivery service, for an input, at a second lower resolution, of second pixel values and a second residual of the block; upsampling the second set of features to the first resolution to generate an upsampled second set of features; generating a modified version of the frame based on the first set of features and the upsampled second set of features; and transmitting the modified version of the frame to a frame buffer or from the content delivery service to a viewer device.

Apparatus and associated methods relate to provide transient access rights to entities for creating, accessing, and / or sharing digital health content (DHC). In an illustrative example, a health content distribution system (HCDS) may generate a time-limited access token (TLAT) for authenticated users to access DHC. The TLAT, for example, may be generated based on a predetermined association of a corresponding DHC with a patient, a predetermined association of a requestor with the patient, a predetermined role of the requestor with relation to the patient, and a predetermined association between the requestor and a creator of the content. The TLAT may be further generated based on a predetermined association between the requestor and an organization associated with the patient. The HCDS may, for example, upon receiving the TLAT, transmit the corresponding DHC to be displayed at the requestor's device. Various embodiments may advantageously provide a secure on-demand health content access system.

The invention relates to a cross-channel intelligent marketing decision-making system and method based on dynamic user behavior mining, and relates to the technical field of marketing data processing, and the method comprises the steps: obtaining a multi-channel user behavior data sequence, constructing a multi-dimensional channel priority scoring system, and achieving the precise classification of a core channel and a long-tail channel. And based on user conversion path data, quantifying a correlation coefficient of the core channel and the main channel, and generating a dynamic budget allocation strategy and a content delivery strategy in combination with a priority score. And finally, based on the budget allocation strategy and the content delivery strategy of each channel, automatically adjusting the operation parameters of the corresponding channel. The problems of one-sided channel value evaluation, unquantized synergistic effect, strategy stiffness and the like in traditional marketing are effectively solved, and the marketing resource utilization rate and the user conversion efficiency are improved.

Methods, systems, and apparatus for recognizing objects and providing content related to the recognized objects are described. In one aspect, a method includes detecting presence of one or more objects depicted in a viewfinder of a camera of the mobile device. In response to detecting the presence of the one or more objects, image data representing the one or more objects is sent to a content distribution system that selects content related to objects depicted in images. A location of each of the one or more objects in the viewfinder of the camera is tracked while waiting to receive content from the content distribution system. Content related to the one or more objects is received from the content distribution system. A current location of each object in the viewfinder is determined and the content related to the object is presented within the viewfinder at the current location of the object.

Apparatus and associated methods relate to management of therapeutic digital assets in a non-medical environment. In an illustrative example, non-medical digital asset(s) (NMDAs) may be evaluated relative to one or more therapeutic modalities. A corresponding therapeutic digital asset (TDA) may, for example, be generated for each therapeutically associated NMDA. The TDA may, for example, be traceably associated with corresponding risks and / or risk mitigations. Each TDA may be associated, for example, with a test profile corresponding to a risk and / or risk mitigation. A TDA may be released into a non-medical digital content delivery environment (DCDE), for example. The TDA may, for example, be monitored in the DCDE to maintain verification and / or validation (VV). A change in the DCDE affecting VV of the TDA may, for example, result in deactivation of the TDA in the DCDE. Various embodiments may advantageously permit VV of selected digital assets in a non-medical environment.

The invention discloses an Internet user behavior accurate analysis method based on artificial intelligence. The method comprises the following steps: obtaining user behavior data of an Internet platform; inputting the user behavior sequence into a Mamba network to generate a behavior state vector; inputting the commodity image set into an improved DeiT model, and setting a hierarchical feature routing controller; executing cross-modal feature interaction to generate a fusion feature tensor; inputting the fusion feature tensor into an IQL network; updating a fusion weight, high-level attention mapping and a routing control vector based on a value gradient resonance feedback mechanism; and outputting a user behavior analysis result and a personalized recommendation result. According to the method, the accuracy of Internet user behavior prediction and personalized recommendation can be remarkably improved, and the method is suitable for scenes needing high-precision user portraits and intelligent recommendation, such as a large-scale e-commerce platform and a content distribution platform.

Artificial intelligence (AI) techniques for connection networking are described. A method comprises receiving an input vector by a multi-tower machine learning (ML) model for a content delivery system of a connection network system, generating a set of user embeddings from a first vector of the input vector by a first tower of the multi-tower ML model based on the activity data associated with users of the connection network system, generating a set of campaign embeddings from a second vector of the input vector by a second tower of the multi-tower ML model based on the textual description of the content delivery campaign, generate a metric based on a subset of the user embeddings and a subset of the campaign embeddings, selecting audience user identifiers based on the metric, and sending content items for the content delivery campaign to electronic devices of the audience user identifiers.

Example implementations include methods and systems that relate to search results and recommendations in a media content delivery system. An example method includes providing a search query to a multi-task language model associated with a media content delivery system. The method also includes providing user engagement information to the multi-task language model. The user engagement information indicates user engagement activity with the media content delivery system. The method also includes retrieving, using the multi-task language model and based on the search query, one or more candidate media items from a media item database of the media content delivery system. The method also includes identifying, using the multi-task language model and based on the user engagement information, one or more recommended media items from the media item database.

A user device may be configured to make a better choice between switching to a different content bit rate or switching to a different content server when responding to interruptions during content output, based on an awareness of a cause of the interruptions. Based on conditions associated with content delivery or information concerning playback quality at one or more user devices, an alternative bit rate ladder for encoding content may be determined. Such dynamic generation of an alternative bit rate ladder may enable fine tuning of load reductions in the content delivery network and optimized delivery of the encoded content to the user devices.

Techniques for live event server-side content synchronization are described. According to some examples, a computer-implemented method includes receiving, at a content delivery service, a first live stream of an event and a first timestamp for the first live stream, and a second live stream of the event and a second timestamp for the second live stream; determining, by the content delivery service, a time offset between the first live stream of the event and the second live stream of the event; modifying, by the content delivery service, the second timestamp based at least in part on the time offset to generate a modified second timestamp for the second live stream to align the second live stream with the first live stream; and sending, by the content delivery service, the second live stream and the modified second timestamp to a client device or a storage.

A process for generating and presenting instructional content using a machine-learning system can include the step of monitoring a playback device to log user interactions with a service to a user interaction table (UIT) and to log operational data of the service to a health server. Baseline interaction values are identified for the service. The user interactions and the operational data are compared with the baseline interaction values to determine an interaction with the service is inefficient. Hardware and software of the playback device used to interact with the service are identified. The process includes generating instructional content for using the service in response to determining the interaction with the service is inefficient. The instructional content includes images of an interface of the identified hardware and software of the playback device.

A system and method for creating and publishing augmented reality (AR) content using a mobile device and application. The method includes selecting a content theme, presenting associated content templates, receiving user input, and generating an AR content item. Metadata is created indicating AR content type, selected theme, and used template. The AR content item and metadata are published to a server for storage in a manner enabling retrieval and presentation via an AR device application. The system facilitates easy creation of AR content without requiring specialized AR development skills, allowing users to generate content using familiar mobile interfaces. The created content can be accessed and viewed through AR devices, providing an seamless workflow from content creation to AR presentation.

This application belongs to the field of digital push technology and relates to a method and system for collaborative online and offline marketing content delivery, aiming to solve the problems of rigid delivery, low accuracy, and disconnect between online and offline in existing technologies. The method includes: acquiring user behavior characteristics and scenario characteristics collected by offline display terminals when displaying content, and determining interests; when preset conditions are met, sending an instruction to cause the offline display terminal to dynamically generate a unique interaction identifier and output an interaction entry point; receiving online access requests and extracting the unique interaction identifier from them, associating display events and online interaction events based on the unique interaction identifier to obtain event-level attribution results; and adjusting the generation control parameters and / or delivery strategy parameters of subsequent target marketing content based on the attribution results. This application can achieve event-level association and attribution between offline display and online interaction, forming a closed loop of content generation, display, interaction, and optimization, improving the efficiency of marketing content generation, delivery accuracy, and conversion effect.

The application discloses a resource acquisition method and device, electronic equipment and a computer readable medium, and relates to the technical field of computers. A specific embodiment comprises receiving a resource acquisition request, and then generating a corresponding timestamp anti-theft link based on the resource acquisition request. The target content distribution node is located based on the timestamp anti-theft link, so that the target content distribution node can verify the resource acquisition request based on the timestamp anti-theft link. In response to determining that the verification fails and that there is a resource package update, the target content distribution node is called to acquire the updated resource package. The updated resource package is parsed to acquire the target resource. Therefore, the latest resource can be quickly and accurately acquired.

A method for content delivery to a user device, that helps to reduce bandwidth requirements and increases security of the content. The method includes receiving a download request from the user device, the download request including request data corresponding to characteristics of the user device, analyzing the request data to select a bootstrap module; transmitting the bootstrap module to the user device for download; analyzing an authentication characteristic to determine that the user device is authenticated for content viewing; transmitting a content catalogue to the user device; and upon receiving a user selection of a content item from the content catalogue, transmitting the user selected content item to the user device.

The invention provides a cloud edge-end cooperative service method, device and equipment. The method comprises the following steps: establishing a cloud edge time delay model and an edge-end time delay model; the cloud edge time delay model is used for minimizing the transmission time delay of the cloud and the edge side; the edge time delay model is used for minimizing the transmission time delay between the edge side and the terminal; and according to the cloud edge time delay model and the edge end time delay model, determining cloud edge routing information and an edge side resource allocation result. According to the embodiment of the invention, the cloud edge time delay model and the edge end time delay model are established, the cloud edge routing information is determined according to the congestion degree, throughput and the like of the cloud-edge network, and the return path of the XR data packet is effectively optimized so as to reduce the residence time of the XR data packet in the cloud-edge transmission network; wireless frequency band resources are reasonably distributed for the XR service according to the requirements of the XR service so as to accelerate the transmission rate of the XR service in an edge-end transmission network, so that an XR data packet from a cloud end or an edge side is transmitted back to a terminal user in a low-time-delay manner, and flexible and low-time-delay content delivery is realized.

Systems and methods for improving interaction with computers in content delivery, search, and / or hosting systems supported or configured by devices, servers, and / or platforms, as well as interactions between computers, are disclosed. The disclosed systems and methods provide a novel framework that automatically generates and dynamically updates consistent instances of multi-display dashboards across disparate device and / or network locations. The disclosed framework generates and displays interactive dashboards comprising electronic tiles representing data from multiple processes and operations. The framework includes functionality for maintaining a consistent look and feel for the dashboard and the display characteristics of the tiles contained therein across platforms with different devices, operating environments, and / or display capabilities.

Methods and systems are described for improved delivery of foveated rendering streams for media content delivery. Received video data is separated into a high acuity (HA) stream and a low acuity (LA) stream. The HA stream is marked to indicate HA transmission. A communication device that retransmits the HA stream based on the marking transmits the HA stream at a lower latency and a higher reliability than the LA stream. A receiving device receives the HA stream and the LA stream. A display device generates for display a combined stream including the HA stream and the LA stream. Artificial intelligence systems, including neural networks, are trained for improving the foveated rendering. Models are developed for the foveated rendering. Related apparatuses, devices, techniques, and articles are also described.

To enable a user to easily search for contents matching his / her taste and to continue his / her motivation for creation.SOLUTION: The content management device includes an acquisition unit that acquires collected sound data indicating sound data collected while a user is reproducing content or composite content, a harmonization determination unit that determines whether or not a sound of the collected sound data is harmonized with the reproduced content or composite content and outputs tag information tagged to the content or the composite content, and a reproduction configuration unit that selects at least one of the content and the composite content to be distributed to the user on the basis of the tag information regarding the user.SELECTED DRAWING: Figure 10

Systems, methods, and use-cases of multi-modal authentications and content distribution are presented. A content consumer can capture a multi-modal digital representation of multiple objects where a juxtaposition of features derived from the digital representation can be used to recognize that at least some of the objects are a valid authentication object. Upon authentication, an authentication agent determines a content access level for content associated with the corresponding to the juxtaposition. The content can then be presented on an electronic device, possibly within a secure virtual machine, according to the content access level.

To provide a user-friendly content receiving device and distributing device.SOLUTION: The content reception device suspends the download and bookmarks the content when a sufficient storage time limit can be confirmed by the designation of the moving image content, and downloads the content when the storage time limit cannot be confirmed or the storage time limit is approaching. To restart reproduction of a moving image content designated at the time of previous power-off when power is turned on. A constant communication state with a communication server is established by a normal operation of a television. To enable appreciation from the beginning or the like of a program of moving image contents of the same contents and download of the whole data by accessing a communication server by a link from a television program in the middle of broadcasting. A server side stores moving picture contents data of the same contents with a time limit in cross-reference with a broadcast program. At the time of live streaming distribution, distribution is automatically performed from a packet at the time of access, and archive data are automatically distributed from a head packet or the like.SELECTED DRAWING: Figure 2

The disclosure relates to content delivery systems such as gateways for use in locations where the services of many end user devices are provided by a common management entity, such as hospitality, dormitory, healthcare, or other enterprise settings. The disclosure includes methods of initializing a gateway configuration and operating a gateway by ingesting content from a variety of signals (satellite, broadcast, cable, and IP), processing the content to have additional desired features, and reassembling content in various forms for delivery to individual end user devices.

Aspects of the present disclosure relate to mapping content delivery. A client device provides, to a map management server, a request for a map of a geographic region. The client device receives, from the map management server, an identification of tiles for the map. The client device provides, to a first tile server, a request for the tiles for the map. In response to receiving the tiles from the first tile server: the client device displays the map of the geographic region based on the tiles.

The application discloses a content delivery method and device, a server and a storage medium. The method comprises the following steps: determining a target user amount of target content in a next target time period; determining target users associated with the target content in the next target time period according to the target user amount and a target user determination strategy; screening the target users associated with the target content in the next target time period to obtain to-be-delivered users, and sending the target content to the to-be-delivered users; at the end of the next target time period, updating a current real exposure amount of the target content at the end of a previous target time period by using a real exposure amount of the target content in the to-be-delivered users, returning to the first step until the real exposure amount at the end of the next target time period accumulates to reach a target exposure amount or until a corresponding accumulated time length at the end of the next target time period reaches a target time length. The method can reduce the over-exposure amount in the content delivery process.

Embodiments provide efficient multicast handover for content delivery to client devices in multi-carrier communications systems. For example, client devices in a transport craft can consume a media channel offering via a first carrier during transport through the communications system. Embodiments can establish respective multicast groups for the media channel offering in at least the first carrier and a subsequent second carrier, and can notify the craft of the multicast groups prior to the craft being serviced by the second carrier. Such pre-notification can permit multicast handover of the media channel offering from the first carrier to the second carrier in a manner that avoids typical handover-related. For example, embodiments can direct multicast delivery of the media channel offering to the craft in accordance with the first multicast group while being serviced by the first carrier and in accordance with the second multicast group while being serviced by the second.

The application relates to the computer technical field, and particularly relates to a content delivery method and device, electronic equipment and storage medium, to improve the accuracy of the delivery object screening and improve the content delivery efficiency. The method comprises the following steps: obtaining a set of to-be-delivered contents; obtaining the content representation features corresponding to each to-be-delivered content based on the content information of each to-be-delivered content; obtaining the object representation features of the seed objects associated with each to-be-delivered content; determining the target representation features corresponding to each to-be-delivered content based on the content representation features and the object representation features corresponding to each to-be-delivered content; obtaining the target objects corresponding to each to-be-delivered content based on the target representation features, and delivering each to-be-delivered content to the target objects corresponding to each to-be-delivered content. The application jointly recalls the target objects from the content and behavior dimensions, which are used for subsequent content delivery, and can effectively improve the accuracy of the delivery object screening and the content delivery efficiency.

The application discloses a kind of similar cache content dynamic placement method for mobile edge network, similar cache is introduced in cooperative mobile edge cache, and similar content different from content request can be delivered.First, solve the cache placement problem of highly dynamic content popularity and network connection state in similar cache.Then a kind of similar cache placement algorithm and similar content delivery algorithm based on counter multi-arm tiger machine are disclosed;The problem is modeled as a counter multi-arm tiger machine model;Select a pull arm, call similar content delivery algorithm to process requests, collect the cache reward of the current stage, return to the similar cache placement algorithm, estimate the reward and weight of the arm according to the reward, repeat execution until termination, and the algorithm can obtain an excellent cache placement scheme adapted to the current environment.Through the mode, the application can solve the similar cooperative cache placement problem existing in the prior art.