230 results about "Interactive video" patented technology

Example systems, methods, and non-transitory computer readable media are directed to an AI-assisted interview system that provides real-time analysis and suggestions during video and audio interviews. The system can analyze questions, response text, audio, and video in real-time and suggest follow-up topics and questions. Suggested topics and questions can optimize for breadth by sampling under-sampled semantic regions and / or depth by identifying related questions. The system can provide clarification suggestions for ambiguous responses and measure quality metrics for questions and answers.

The invention discloses a multi-modal sentiment analysis method and device, and relates to the technical field of sentiment analysis, and the method comprises the steps: carrying out the feature extraction and modal alignment of to-be-detected multi-modal sentiment data, and determining an aligned text feature, an aligned video feature and an aligned audio feature; performing feature enhancement on the aligned video features and the aligned audio features based on the aligned text features to generate enhanced video features and enhanced audio features; performing cross-modal cross attention fusion by adopting the aligned text features, the enhanced video features and the enhanced audio features, and constructing interactive text features, interactive video features and interactive audio features; and performing later fusion on the interactive text features, the interactive video features and the interactive audio features, performing emotion prediction, and outputting an emotion analysis result. The feature quality of audio and video modals is improved by adopting an audio and video feature enhancement mechanism, and cross-modal feature interaction and multi-modal late fusion are effectively combined, so that the reliability of multi-modal sentiment analysis is improved on the whole.

The invention relates to a digital life individuation implementation method and device, equipment and a medium. The method comprises the steps of obtaining user interaction information in response to an obtained user input instruction; preprocessing the user interaction information according to a set mode to obtain a user interaction text; inputting the user interaction text into the digital life entity to obtain a personalized reply; the personalized reply comprises a target person and audio data; and generating an interactive video corresponding to the personalized reply based on digital human rendering. By adopting the method, personalized digital cloned construction, cross-space-time emotional interaction and cultural heritage digital inheritance can be realized through emotional analysis, behavior pattern learning and the like, and the method is suitable for scenes of emotional science and technology, digital immortality, family archive management and the like.

The invention provides an interactive video generation method capable of intelligent interaction based on multi-agent cooperation and a related device, and relates to the technical field of artificial intelligence such as large language models, generative models, agents, interactive videos and the like. The method comprises the following steps: determining a user demand according to interaction between a target user and initial video content; controlling a preset copywriting agent to generate an interactive video copywriting matched with the user demand; controlling a preset interaction option generation agent and a split agent to respectively generate interaction options and split plans according to the interaction video copywriting; controlling a preset material generation agent to generate materials forming each video frame according to the mirror splitting plan; and generating an interactive video matched with a user demand from the interactive video copywriting, the interactive options and the materials according to a preset video rendering template. According to the method, through automation and agent cooperation between the main agent and each special agent, the generated interactive video can fully meet personalized and diversified user requirements, the user stickiness and the interactive experience of the interactive video are further improved, and the satisfaction degree of the user for such services or products is further improved.

Interactive video game content for a video game is streamed to a client device using a first streaming protocol configured for low-latency streaming. When an indication of non-interactive content to be inserted into the video game is detected, streaming of the interactive video game content to the client device is paused and the non-interactive content is streamed to the client device using a second streaming protocol configured for adaptive bitrate streaming. Upon receiving an indication that streaming of the non-interactive content to the client device has ended, streaming of the interactive content to the client device is resumed using the first streaming protocol.

The invention discloses a real-time interaction video stream generation and intelligent interaction system and method, and belongs to the technical field of artificial intelligence and data fusion, a control center generates an instruction according to a preset video stream theme, interaction information and video stream content of a real-time video stream module, and a content generation module generates a real-time interaction video stream according to the instruction. And the feedback module is used for acquiring corresponding data from the knowledge base, generating new video stream content in combination with the video stream content of the real-time video stream module, and adjusting data acquisition and content generation in real time according to the interactive information. According to the invention, through construction of full-link intelligent interaction ecology, highly automatic processing from data acquisition, intelligent decision-making to content generation is realized, real-time interactive video live broadcast is realized, and efficient circulation of the whole process from audience interaction to video content generation, transmission and feedback is ensured. And the real-time performance, the interactivity and the data accuracy of the interactive video stream generation technology are improved.

1. The name of the product of this design: A graphical user interface for deep interaction of private video chats in electronic devices. 2. Purpose of the product of this design: an electronic device. 3. The key design features of this design product are the part of the graphical user interface in the electronic device for which protection is sought. 4. The picture or photo that best illustrates the design points: Interface change state diagram 1. 5. Purpose of the Graphical User Interface: The product interface is an interactive interface for displaying the depth of private chat interaction and interaction in the private chat social scene of the video platform; the main view interface is the interactive interface of the chat room page; in the main view interface, click on any user avatar to enter the private chat scene, and display the interface change state diagram 1‑2. When the user enters the private chat interface for the first time, the intimacy challenge is enabled by default, and the intimacy is 0 at this time; and the "Intimacy Guidance Pop-up Window" pops up at the same time; in the interface change state diagram 2 interface, click the "X" close button and interact, and the interface change state diagram 3 is displayed; in the interface change state diagram 3 interface, continue to interact until the intimacy value reaches 100%, and the "Intimacy Reward Pop-up Window" pops up again, displaying the interface change state diagram 4‑6, and the gray area of ​​the interface is the content screen.

A system for interactive video content includes one or more interactive engagement platform servers communicatively couplable to a user device configured to display one or more video programs received from video provider servers. The interactive engagement platform servers may be configured to: generate an API trigger; receive an event ID or metadata associated with the video program stream; generate an event report; retrieve the event report from a third-party provider; transmit the event report to an analysis system; perform one or more analysis operations based on the event report transmitted; generate one or more control signals configured to cause a graphical user interface of the user device to display a small interactive content window; and upon selecting the small interactive content window, generate one or more control signals configured to cause the graphical user interface of the user device to display an interactive content overlay.

A generative interactive video computer-implemented method and system applies trained computer-implemented neural networks to generate a sequence of images, which may comprise a video, and which contains identified objects, and then delivers the sequence of images to a user. The sequence of images may be further generated in accordance with an inference of a preference from user behavioral information. The identified objects may be provided to the system in the form of natural language and / or images. The system then generates and delivers to users natural language-based responses to user requests for information with respect to the identified objects, including attributes that are associated with the identified objects. Users may direct the system to generate video-based virtual environments that include representations of the identified objects.

The present disclosure describes techniques for creating a real-time interactive video. A source image is generated by a first machine learning model based on capturing an image of a user. The image comprises a face of the user. One or more facial images of the user are captured. The one or more facial images depict one or more facial expressions. The source image and information extracted from the one or more facial images are input into a second machine learning model. The second machine learning model is configured and trained to transfer facial expressions of creators to machine-generated images in real-time. The real-time interactive video is created by dynamically driving the source image based on the one or more facial expressions.

Disclosed embodiments include two-way interactive video methods and computing systems configured to perform such methods. Some embodiments include (i) while first interactive video content played for a viewer within a playback window, receiving a question from the viewer of the first interactive video content; (ii) pausing playback of the first interactive video content within the playback window; (iii) while playback of the first interactive video content is paused within the playback window, determining a response based on (a) the received question and (b) information approved by a creator of the first interactive video content; (iv) after determining the response, causing playback of the response in an experience window within the playback window in which the first interactive video content is paused; and (v) after playing at least a portion of the response in the experience window, resuming playback of the first interactive video content within the playback window.

Systems and methods for facilitating, managing, and providing on-line events and meetings. The present disclosure provides systems and methods for creation of content, live video event manages content and information to be provided during online events and meetings, as well as for generating and managing archives thereof. The present disclosure provides a set of tools for creating a virtual environment that includes a mixed-reality world of virtual sets and live video streams that enables users to attend large scale events and stay engaged in virtual conferences that can last days or longer.

A method and a system for generating real-time target video are provided, the method includes: acquiring training data including interactive information and video data corresponding to the interactive information; preprocessing the training data to obtain target training data; where the preprocessing includes: performing down-sampling processing on the video data to obtain a plurality of frames of low-resolution images; performing model training to a preset model based on the target training data; the model training includes a model pre-training process and a video pre-generation process, the model pre-training process includes a training of a low-resolution image reconstruction model and a training of a super-resolution model, and the video pre-generation process includes: performing video pre-generation based on the target training data and an interactive video generation model to complete training to the interactive video generation model; and, obtaining an interactive target video through the trained interactive video generation model and input data.

The invention provides an interactive video generation method, and relates to the technical field of deep learning, and the method comprises the steps: obtaining training data which comprises video data and interaction information corresponding to the video data; the video data consists of a plurality of frames of low-resolution images; obtaining image hidden layer features of the initial frame from the training data; performing feature conversion processing according to the image hidden layer feature and the interaction information of the corresponding frame to obtain a first frame image and a target image hidden layer feature; performing image reconstruction processing according to the hidden layer features of the target image to obtain a reconstructed low-resolution image; performing image super-resolution processing according to the reconstructed low-resolution image to obtain pre-generated image frames until the pre-generated image frames of each frame number in the corresponding training data are obtained, and obtaining a video generation model; and processing the input data by adopting the video generation model to obtain a target video. According to the method, the problem that real-time interaction adjustment cannot be carried out in the existing video generation technology is solved.

The invention relates to the technical field of autism detection, in particular to an autism spectrum disorder detection system based on eye movement recognition, which comprises a video acquisition module, a data preprocessing module, a sight line drop point analysis module, a data correction module, a recognition model module and a month age association evaluation module, the data preprocessing module is used for determining a target user, the sight falling point analysis module is used for forming a sight falling point time sequence, the data correction module is used for correcting the sight falling point time sequence, and the recognition model module is used for outputting a result. According to the system and the method, the user is guided to watch various types of interactive videos through the video acquisition module to obtain rich eye movement related data, and visual performance in different scenes is integrated, so that the detection basis is more comprehensive, the autism spectrum disorder detection accuracy is improved, and autism spectrum disorder and typical development conditions are distinguished more accurately.

Systems and methods for incorporating online user generated media content (e.g., videos) into an interactive video gaming environment are provided. Media assets that are associated with different measures of quality generated by users are stored on a remote server. A player action is received by the remote server. A determination is made as to which one of the plurality of levels of the interactive video gaming environment corresponds to the action. One of the videos associated with one of the measures of quality is selected based on the determination of the level corresponding to the action. The selected video is transmitted to the player.

The invention provides an interactive video target space-time retrieval system based on visual similarity, which comprises a video management module for carrying out structured management on video files and related information, a target detection module for carrying out target detection, a feature extraction module for extracting visual feature vectors from detected targets, and a retrieval module for retrieving the visual feature vectors of the detected targets. The vector storage module is used for storing visual feature vectors and related information of a target to obtain a target library, the interactive display module is used for retrieving the target and carrying out manual confirmation according to a user instruction, and the path calculation module is used for calculating a target action range in a given time interval. And the vector retrieval module is used for retrieving in the target library and returning a retrieved target list. According to the system, space-time retrieval can be carried out on targets such as pedestrians and vehicles in mass video monitoring data, and investigators are assisted to quickly construct motion tracks of the targets such as the pedestrians and the vehicles.

The present invention relates to the field of intelligent interaction technology, and discloses a big data driven digital human intelligent interaction method and system, the method comprising: extracting interactive audio and video frame sets in user historical interactive videos, performing image smoothing and image equalization on each video frame in the video frame set to obtain enhanced video frames; identifying interactive texts corresponding to interactive audios; extracting feature time sequence information of enhanced video frames, interactive texts and interactive audios respectively, performing feature interaction on the feature time sequence information to obtain multimodal features; calculating target interactive texts and corresponding target interactive voices according to multimodal features, generating target interactive expressions according to target interactive texts and target interactive voices; constructing interactive videos of target digital humans according to target interactive texts, target interactive voices and target interactive expressions, and using interactive videos to interact with users. The present invention can improve the accuracy of intelligent interaction of digital humans.

A computing system receives a video stream of a game. The computing system generates tracking data corresponding to the video stream using one or more artificial intelligence models. The computing system generates interactive video data by combining the video stream of the game with the tracking data. The computing system causes a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data to a client device executing the media player.

An interactive video distribution system and video player are described. A client server arrangement may be used for providing a video player and video content to a client device. The video player may display navigation images enabling navigation to specific portions of the video content by activating a corresponding navigation image. The video player may also enable the sharing of a segment of the video with other video players, enabling the video players to play the streamed segment of the video without having to play the entire video, thereby reducing network bandwidth usage. The video player may be embeddable. The server may associate searchable tags with respective video segments.

Techniques for video processing using artificial intelligence are disclosed. An interactive video interface (IVF) located in a physical store is accessed. The IVF includes a video camera, interactive screen, and one or more microphones. The IVF includes a synthetic human that interacts with customers. A customer initiates an interaction with the IVF by standing within a minimum distance of the IVF, speaking to the IVF, interacting with the IVF screen, or scanning an identification card. The IVF collects input from the customer regarding products in the store. The IVF creates responses to the customer inquiries based on a large language model (LLM), including skills such as checking product inventory, recommending related products, completing ecommerce purchases, and coordinating product deliveries. The IVF produces a video segment featuring the response performed by the synthetic human. The IVF presents the video segment to the customer, including performing the selected skills.

A system and method for protecting a multi-panel interactive video display is disclosed having a frame having a plurality of vertical and horizontal members to generally define a rectilinear structure; a plurality of interactive video displays operatively connected to the vertical members of the frame; one or more protective panels positioned in front of the interactive video displays; an infrared sensing frame circumnavigating and positioned adjacent to and in front of the one or more protective panels; and an external frame circumnavigating and positioned adjacent to and in front of the infrared sensing frame.

The invention relates to a coding and decoding adaptive regulation and control system for a 5G video information marketing scene, and belongs to the crossing field of 5G communication, video coding and decoding and marketing digitization. The system cooperates through four units: a 5G video information marketing video perception acquisition unit captures an interactive video in a directional manner, and generates a structured data set through scene noise reduction and bimodal perception; the multi-dimensional coding and decoding intelligent decision-making unit analyzes and extracts a core fragment with high adaptability, and completes criticality evaluation in combination with an exclusive rule base; the dynamic adaptive iterative optimization unit outputs an adaptive result based on a cross-industry code rate system and a scene migration mechanism; and the multi-terminal compliance output unit optimizes parameters, generates a three-dimensional compliance label, and generates an operation report through quality verification and data integration. According to the invention, the coding and decoding parameters are adaptively adjusted along with a 5G network, a terminal and a scene, the data volume is controlled while the marketing key information is kept clear, an adaptive scheme is provided for a private domain terminal, and the touch efficiency and the conversion effect of 5G visual information marketing are improved.

Systems, methods and / or computer program products for dynamically generating interactive content at an edge node of an edge network. For each set of video frames received, altered frames cached by the edge network can be fetched (when available) and reused to deliver interactive content to users. Where cached content is not present or distinctly different content from previously delivered content is intended for delivery to user(s), edge node identifies hotspots within video frames to insert interactive content, defining a timing and location for insertion, selects content consistent with user insights and / or preferences as well as an interaction types and placements known to be preferred by the user requesting the video frames. The edge node uses video creation services to alter the incoming video frames into altered video frames, inserts selected content at corresponding hotspots within the video and applies the interaction types for presenting the content to the user.

The embodiment of the invention provides an image processing method and device, electronic equipment and a storage medium, and is at least applied to the naked eye 3D field and the artificial intelligence field, and the method comprises the steps: collecting an environment video in a preset range of display equipment through an image collection device of the display equipment in a process that the display equipment displays a prefabricated video; in response to determining that a target object exists in the preset range based on the environment video and the current state of the target object meets a preset state index, acquiring a current playing picture of the prefabricated video; and based on the current playing picture, determining an interactive video matched with the current state of the target object, and displaying the interactive video on the display device. Through application of the method and the device, a deep and efficient interaction mode can be expanded in a process of playing the prefabricated video by the display equipment in a resource intensive mode, and the playing quality of the prefabricated video is improved.

This disclosure describes techniques for creating real-time interactive videos. A source image is generated by a first machine learning model based on capturing an image of a user. The image includes a face of the user. One or more facial images of the user are captured. The one or more facial images depict one or more facial expressions. The source image and information extracted from the one or more facial images are input into a second machine learning model. The second machine learning model is configured and trained to transfer the creator’s facial expressions to the machine-generated images in real-time. A real-time interactive video is created by dynamically driving the source image based on the one or more facial expressions.

An example method of performing interactive videogame verification using cryptographically protected transaction records includes: receiving, by a videogame server, from a first videogame client device, a first transaction record reflecting a first set of events associated with an interactive videogame session, wherein the first transaction record is cryptographically signed by a first private cryptographic key associated with the first videogame client device; receiving, from a second videogame client device, a second transaction record reflecting a second set of events associated with the interactive videogame session, wherein the second transaction record is cryptographically signed by a second private cryptographic key associated with the second videogame client device; and validating the first transaction record based on the second transaction record.

The invention provides a rehabilitation training control method and system and rehabilitation equipment, and relates to the technical field of rehabilitation training.The method comprises the steps that on the basis of a first training strategy, an audio-video scene of a VR interaction video is used for training an individual with information processing disorder, so that the individual is in a physical and psychological relaxed state; and on the basis of the second training strategy, the information processing speed of the information processing disorder individual is trained through the VR equipment, so that multi-sensory stimulation is realized in multiple aspects such as vision, hearing and touch, and the immersion and effect of training are improved.

Interactive video game content for a video game is streamed to a client device using a first streaming protocol configured for low-latency streaming. When an indication of non-interactive content to be inserted into the video game is detected, streaming of the interactive video game content to the client device is paused and the non-interactive content is streamed to the client device using a second streaming protocol configured for adaptive bitrate streaming. Upon receiving an indication that streaming of the non-interactive content to the client device has ended, streaming of the interactive content to the client device is resumed using the first streaming protocol.

This invention discloses a method, apparatus, device, and medium for generating video webpage playback data. The method includes: acquiring at least one video resource and webpage document content of a target video webpage; when interactive video resources exist, generating a webpage data packet of the target webpage type based on each video resource and the webpage document content; the webpage data packet is used to load onto the webpage of the target webpage type; when no interactive video resources exist, reconstructing each video resource based on the webpage document content to obtain at least one material unit and corresponding loading configuration information; generating resource loading data based on each material unit and the corresponding loading configuration information; and parsing and loading the resource loading data through a native video application on the client side. This invention can save network transmission resources and improve compatibility.