112 results about "Digital content" patented technology

Surround sound systems can dramatically expand the size of a user's sound field. Much surround sound content is mixed in a simplistic way where the front audio is copied to the rear, at a lower volume. It can be difficult for users to appreciate the value proposition of a surround sound system without more compelling spatially complex content. Quantifying surround sound complexity of various content items based on an audio spatial complexity scoring system can address this issue. Algorithms can be implemented to determine an audio spatial complexity score based on audio channels of a content item. Large catalog of content items can be analyzed, and audio spatial complexity scores can be associated with various content items. If a user has a surround sound system, content items with a high audio spatial complexity can be retrieved or recommended to the user to demonstrate the surround sound system's value better.

A system for adaptive text rendering includes an editor, a context analyzer, an adaptive text generator, and a feedback and learning engine. The editor renders a text box on a digital canvas and receives user input via the text box. The context analyzer extracts contextual information from digital content associated with the digital canvas. The adaptive text generator uses the user input, text box dimensions, and contextual information to direct an artificial intelligence (AI) model to generate text. It then formats the generated text to fit within the text box based on one or more fit criteria. The feedback and learning engine captures and evaluates user feedback related to the formatted text and generates tuning adjustments to refine the adaptive text generator or the AI model.

The application provides a touch event processing method, system, device and medium, wherein the method comprises the following steps: obtaining interface touch data in a target interface and an event priority list corresponding to the target interface; the interface touch data comprises a plurality of event elements; performing event priority analysis on the interface touch data according to the event priority list to obtain an event sorting queue, the event sorting queue comprising a plurality of target touch events sorted from high to low according to event priority; the target touch events comprising a plurality of event elements in the interface touch data; the number of event elements in each target touch event is less than or equal to the number of event elements in the interface touch data; and performing event response according to the event sorting queue. The method can effectively improve the processing accuracy of touch events, is conducive to reducing the difficulty of realizing complex interaction in the target interface, and can be widely applied in the technical field of digital content service.

A method for processing a digital content with a decision tree, including: transmitting a ciphertext to a server; obtaining, from the server, a processed ciphertext function of an encryption of a difference between a third vector equal to a multiplication of the plaintext and a first matrix, and a first vector; decrypting the processed ciphertext; setting elements of the processed plaintext selectively to 1 or 0; encrypting the processed plaintext; transmitting the resulting second ciphertext to the server; obtaining, from the server, a second processed ciphertext function of an encryption of a difference between a fourth vector equal to a multiplication of the processed plaintext and a second matrix, and a second vector; decrypting the second processed ciphertext; setting elements of the resulting second plaintext selectively to 0 or 1; and determining an outcome of the decision tree based on the second plaintext.

In one example, a computing system is described. The computing system is configured to perform a set of acts that includes obtaining, from a DEP, a non-redacted unique viewer count for a set of digital content exposures. The set of acts also includes obtaining, from the DEP via the protected cloud environment, a redacted exposures count for the set of digital content exposures. In addition, the set of acts includes determining, using an inverted reach curve and the non-redacted unique viewer count, an initial exposures value for the set of digital content exposures. The set of acts also includes scaling the initial exposures value using the redacted exposures count to obtain a final exposures value. Further, the set of acts includes determining, using a reach curve and the final exposures value, a final unique viewer count for the set of digital content exposures, and outputting the final unique viewer count.

Apparatus and methods for colour grading may be implemented to improve the efficiency of colour grading digital content. Features of the apparatus and methods include: automatic detection of differences between image data and rendered images, automatic suggestions for colour grading, detection and communication of temporal effects, guidance for selecting an order of frames for grading, automated QC processes, and / or reference monitor emulation.

The application discloses a kind of based on multi-dimensional structure coupling and phase change determination digital content asset evaluation method and system.The method comprises: obtaining multidimensional state data;System state characteristics are constructed;Phase change determination is carried out based on state variable derivative change;When detecting phase change, value transition analysis is carried out;Output value evaluation result.Wherein, the system state characteristics are mapped by multivariate function containing structure coupling degree function, the phase change determination is realized by comparing first derivative or second derivative of state variable with preset threshold, and the value transition analysis is realized by nonlinear model containing piecewise function or exponential function.The application identifies the transition process of digital content from exchange value to structural value, solves the technical problems that the value evaluation dimension is single and the dynamic adaptability is poor in the prior art, and can be widely applied in AI content evaluation, digital asset pricing, public opinion analysis and other fields.

Disclosed are various embodiments for securely and efficiently transmitting various types of digital content (e.g., images, audio, video, etc.) with added assurance regarding the integrity and similarity to the original form of the content. Content to be transmitted can be encoded into a latent encoded representation of the content using a trained AI encoder, thereby reducing the size or compressing the content. A digital signature can also be applied to the encoded representation. The sender can send the original content and the signed encoded representation to a receiver. The receiver can encode the received content using the AI encoder and compare the encoded representations to determine similarities. In addition, the receiver side can validate the digital signature of the received encoded representation. The comparison of the encoded representations and the validation of the digital signature can both be used to validate the integrity of the received content.

This invention relates to a method for generating and evaluating personalized sound therapy formulas based on voice emotion recognition, belonging to the field of voice analysis, and more specifically to the field of digital music development and production. The method includes: using an AI sound therapy effect judgment model to intelligently determine the increase in the target user's happiness level after using each five-tone sound therapy formula based on the target user's current five-element attribute data and current five-organ attribute data, and the digital content of each five-tone sound therapy formula; selecting the five-tone sound therapy formula with the largest increase value as the target user's personalized sound therapy formula. This invention addresses the technical problems of difficulty in providing the most suitable personalized music therapy plan for different users and the insufficient precision of music therapy plans. It employs an AI-based traversal method to intelligently judge each sound therapy formula for the target user, and uses five-tone five-element sound therapy formulas to improve the precision of the sound therapy formulas, thereby solving the aforementioned technical problems.

An example may train a cross encoder embedding model using a ranking instruction, a combined input, a pseudo label, and a combined loss. The combined loss includes a ranking loss and a first retrieval loss. A first entity embedding of an entity and a first item embedding of an item may be obtained from the trained cross encoder embedding model. A first input including the first entity embedding obtained from the trained cross encoder embedding model, a second input including the first item embedding obtained from the trained cross encoder embedding model, and a second retrieval loss, may be used to train a dual encoder retrieval model to produce a trained dual encoder retrieval model. A system may use output of the trained dual encoder retrieval model to include or exclude items from a presentation of digital content items to the entity via a device.

This invention provides secure remote access for digital engineering. Industrial Information Centers (IIHs) and Industrial Development Centers (IDHs) serve as industrial ecosystem platforms where multiple participants can deliver repeatable and standardized services relevant to their core competencies. At the heart of the IIH system is a development ecosystem that creates and delivers value for users (including industrial enterprises, OEMs, system integrators, suppliers, etc.) by aggregating digital content and domain expertise. The IIH system acts as a trusted information broker between the ecosystem and the OT environment of the plant facility, providing a platform for connecting assets, contextualizing asset data, and providing secure access to the ecosystem. As part of this ecosystem, the IIH system uses a secure remote access architecture to allow users to remotely access data about their plant floor assets via a VPN connection.

A method and computer system for submitting and receiving data relating to a first digital content element. A search query comprising at least a portion of a first digital content element is derived a

Aspects of the disclosure are directed to performing hierarchical queries based on summary reporting from an application programming interface (API) for digital content estimation. Performing the hierarchical queries can include denoising API outputs while ensuring consistency across different levels of a hierarchy. Performing the hierarchical queries can further include optimizing a privacy budget across different levels of the hierarchy.

A posthumous memory-sharing system including a memory storage system storing user-selected digital content and instructions for communicating with a computing device of a recipient. The memory storage system authenticates death of the user based on receiving biometric data and / or third-party data validation, then transmits verification to the computing device that the death of the user has been authenticated. The memory storage system also receives a unique, recipient-specific encryption key indicating that the recipient wishes to receive at least some of the user-selected digital content or at least one physical item associated with the recipient. In response to receiving the encryption key, the memory storage system sends the user-selected digital content or initiates delivery of the physical item at user-specified or algorithmically determined times. The memory storage system also dynamically adjusts delivery schedules of these items based on recipient availability or real-time interaction feedback.

The disclosed embodiments include computer-implemented apparatuses and processes that provision, in real-time, targeted recommendations based on decomposed structured messaging data. For example, an apparatus receives a message that includes elements of message data disposed within corresponding message fields. The message data may characterizes an exchange of data requested by a first counterparty from a second counterparty and associated with a first product provisioned to the second counterparty by the first counterparty. Based on elements of message data, the apparatus determines a value of a parameter that characterizes at least one of the second counterparty or a relationship between the second counterparty and the first counterparty, and transmits digital content associated with the parameter value to a device operable by the second counterparty, which presents a portion of the digital content within a digital interface.

We provide the system. [Solution] A means of obtaining a user profile via the user interface, A means for dynamically generating appropriate narrative development and visual representation from pre-configured options based on acquired user profiles, A means of sequentially constructing a story by having the user choose options, A means of visually previewing the constructed story and outputting the completed digital content in a storable format, A means for processing user voice input using a voice recognition device and managing the profile, A means of providing an intuitive interface for visually displaying the story in real time, A system that includes this.

In other embodiments, a method to perform image-based searching may include receiving a group of images from a content owner; creating an index using the group of images; receiving a further image from a mobile computing device of a user; determining a correlation between the further image and the index; and / or directing the mobile computing device of the user to content of the content owner, responsive to the determining of the correlation.

The application belongs to the technical field of artificial intelligence, and discloses a multi-modal content generation method, device, equipment and storage medium, the generation method comprising: collecting hot information related to a target business field; analyzing the hot information and extracting initial scene features in the hot information; inputting the initial scene features into a scene derivation reasoning engine to generate a derived scene set containing at least one derived scene feature; matching and reasoning each scene feature information with a pre-constructed business solution feature knowledge graph respectively to obtain a solution recommendation result corresponding to each scene feature information; generating an interactive content script containing interactive options according to the solution recommendation result; and inputting the interactive content script into a multi-modal content generation model to output an interactive digital content. The application can be applied to financial technology, medical health and other business management systems, and improves the efficiency of the marketing scheme adopted by the user in the prior art.

Systems, apparatuses, methods, and computer program products are disclosed for disclosure validation. A method includes determining an applicability status for digital content indicating whether a required disclosure applies to the digital content, and determining a disclosure inclusion status for the digital content indicating whether the digital content includes a candidate disclosure. The method also includes, in response to determining a disclosure inclusion status that indicates that the digital content includes the candidate disclosure, determining a conformity status for the digital content that indicates whether the candidate disclosure conforms to a set of styling requirements, determining a digital content status for the digital content based on at least one of the applicability status, the disclosure inclusion status, and the conformity status, and causing presentation of the digital content status.

This invention relates to the fields of artificial intelligence and digital image processing technology. It discloses an intelligent painting generation and style control method that simulates human creative strategies, comprising the following steps: S1, acquiring creative input information, which includes at least theme information defining the scope of the creative content and creative target parameters describing the desired visual effect; S2, based on the creative input information, constructing a multi-dimensional creative strategy feature vector to characterize dynamic decision-making factors in the human creative process; S3, acquiring the current painting state features corresponding to the current round of painting on the canvas. This invention simulates human creative strategies, improves the creative flexibility of the intelligent painting system, realizes dynamic decision-making and control of painting styles, supports multi-round generation and feedback optimization, is suitable for serialized creation, and is applicable to animation, illustration, and cultural IP digital content generation scenarios.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that distribute item-based digital content across digital platforms using trend setting participants of those digital platforms. For instance, in one or more embodiments, the disclosed systems generate affinity metrics for digital items from a catalog of digital items with respect to a plurality of trend setting participants of a plurality of digital platforms using attributes of digital posts by the plurality of trend setting participants on the plurality of digital platforms and corresponding attributes of the digital items. The disclosed systems further determine predicted demand metrics for the digital items on the plurality of digital platforms using the affinity metrics. Using the predicted demand metrics, the disclosed systems distribute digital content related to the digital items for display on a plurality of client devices via the plurality of digital platforms.

The application relates to the technical field of cross-cultural cognitive quantification, and discloses an activity data processing method based on cross-cultural artistic exchange, which comprises the following steps: collecting multi-modal interaction data of a target user in the process of watching digital content of source cultural art, and performing structural processing on the interaction data to obtain cultural element attention distribution data of the user for specific cultural elements and interaction matrix data of cross-cultural dimensions; a cultural cognitive bias field of the target user is constructed and quantified; based on the cultural cognitive bias field, potential cognitive evolution paths of the target user in a cross-cultural characteristic space are simulated; a cross-cultural calibration recommendation list is generated according to the end points of the high-adaptability cognitive evolution paths obtained through simulation; and the cultural cognitive bias field of the target user and the benchmark cognitive data of the cultural group to which the target user belongs are dynamically updated according to real-time interaction feedback data of the target user on recommended art.

This invention proposes a method for rapid determination of the content of Phellodendron amurense charcoal slices processed at different temperatures using near-infrared spectroscopy. Near-infrared spectroscopy is used to collect spectral information of Phellodendron amurense charcoal slices processed at different temperatures. Background interference is eliminated through preprocessing methods such as baseline correction, standard normal variable transformation, multivariate scattering correction, and first derivative. Combined with competitive adaptive reweighted sampling, CARS combined with iterative retention of information variables, and iterative combination optimization, a partial least squares regression quantitative prediction model is established. This model achieves accurate prediction of the content of five key components: 5-O-FQA, 3-O-FQA, berberine, berberine, and berberine, with prediction correlation coefficients all exceeding 0.90. This invention combines spectral information with chemometric methods to establish a digital content prediction model based on near-infrared spectroscopy for online monitoring of the Phellodendron amurense charcoal slice processing process. It has the advantages of objectivity, speed, non-destructive nature, and reliability, effectively solving the technical problem of lack of objectivity in existing technologies based on human judgment.

This invention discloses an automatic identification system for digital instrument testing, comprising an image acquisition module, an image preprocessing module, a character recognition module, a data judgment module, a data processing module, and a certificate generation module. The invention acquires the reading window image of the digital instrument under test through the image acquisition module, and automatically extracts and parses the displayed digital content by combining image preprocessing and character recognition algorithms. This achieves non-intrusive reading without requiring any hardware or software modifications to the tested digital instrument, making it applicable to most digital instruments. The invention connects the image acquisition module locally to a computer, avoiding the risks of privacy violations and data leaks associated with using webcams. Furthermore, the invention ensures standardized operating procedures and accurate data collection by performing automated logical verification on the identified digital information. This invention achieves automated and standardized reading, improves the testing efficiency of digital instruments, and eliminates human error.

This invention provides a method for tracing the source of large language model text based on virtual prompt word embedding, belonging to the fields of artificial intelligence natural language processing technology and digital content security technology. The method includes: (1) constructing chat input command text with role format; (2) obtaining embedded vector input; (3) obtaining system prompt word embedding representation; (4) obtaining generated text with user identity information watermark; (5) restoring user identity information to achieve source tracing of generated text. This invention achieves real-time embedding of traceable identity information in the large language model generation process without modifying the main parameters of the large language model or affecting the model text generation quality and response efficiency. At the same time, it ensures the robustness of the embedded watermark information in text transformation scenarios, and can stably extract verifiable and reproducible identity information from the generated text, providing reliable technical support for tracing the source of generated text.

The disclosure relates to systems and methods for training, tagging, recommending and / or generating digital content, such as but not limited to virtual reality ("VR"), augmented reality ("AR"), mixed reality ("MR") content, audio content, spatial audio content, video content (e.g., 2-dimensional ("2D") and / or flat video content), audiovisual content, and / or any combination thereof, based on user biometrics. The systems and methods are adapted to process the biometric data of a user to evaluate a biometric response of the user to the digital content. The systems and methods are further adapted to modify or generate, based on the biometric response of the user, digital content to improve one or more metrics indicative of the physiological health, psychiatric health, general fitness, and / or wellness of the user.

The present disclosure provides a method of provisioning digital content. Further, the method may include receiving, using a communication device, a content stream data from one or more content source devices. Further, the receiving may be performed based on a real-time communication protocol. Further, the method may include generating, using the processing device, an adaptive content stream data based on the one or more content stream data in accordance with an adaptive bitrate streaming protocol. Further, the method may include transmitting, using the communication device, the adaptive content stream data to one or more user devices associated with one or more users.