7686results about "Two-way working systems" patented technology

In some embodiments, a computer system changes visual appearance of visual representations of participants moving within a simulated threshold distance of a user of the computer system. In some embodiments, a computer system arranges representations of users according to templates. In some embodiments, a computer system arranges representations of users based on shared content. In some embodiments, a computer system changes a spatial arrangement of participants in accordance with a quantity of participants that are a first type of participant. In some embodiments, a computer system changes a spatial arrangement of elements of a real-time communication session to join a group of participants. In some embodiments, a computer system facilitates interaction with groups of spatial representations of participants of a communication session. In some embodiments, a computer system facilitates updates of a spatial arrangement of participants based on a spatial distribution of the participants.

A method is provided by which a subscriber accesses an SDV channel using a set top terminal. The method begins when the set top terminal receives a user request to tune to a first SDV channel. An active services list is also received over an access network. The active services list includes an entry for each currently available SDV program and a time-to-live (TTL) associated therewith. Tuning information is identified for the first SDV channel from its entry in the active services list. The set top terminal tunes to the first SDV channel using the identified tuning information. The channel change information associated with the user request is locally stored in set top terminal for transmission over the access network at a later time.

In some embodiments, a computer system facilitates the update of a spatial arrangement of one or more virtual objects in a three-dimensional environment from the viewpoint of a first user of the computer system while in a real-time communication session that includes a plurality of users. In some embodiments, updating the spatial arrangement of one or more virtual objects includes collectively moving the one or more virtual objects in the three-dimensional environment relative to the viewpoint of the first user.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a context transformer engine, a smart topic agent, and a large language model to generate a smart topic output. In particular, in one or more embodiments, the disclosed systems generate a smart topic output from a transcript of a video call. In some embodiments, the disclosed systems provide a smart topic interface that provides the smart topic output on a client device and receives selections of smart topic elements. In one or more embodiments, the disclosed systems generate a combined smart topic from transcripts of video calls in which client devices that participated are associated with a collaborating user account group.

Meeting participation and presentation information about an individual or project is collected from public and private systems into an electronic record. The data is represented as NFTs and stored on a block chain and used to reward participants based on their contributions and actions relating to the meeting or due to the presentation. All of this is done securely and in compliance with privacy protocols.

The present disclosure generally relates to embodiments for video communication interface for managing content that is shared during a video communication session.

A computer system optionally displays a user interface object that reveals content based on whether the content is private or shared. A computer system optionally displays a user interface object that includes shared content based on whether participants have entitlement to the content. A computer system optionally displays a sharing indicator that indicates that the respective content is shared with one or more other participants.

Systems and methods for video summary generation are disclosed. A chat and video conference provider generates a text summary for a meeting video and an audio summary based on the text summary. The chat and video conference provider determines a first set of correspondences between a first set of video portions from the meeting video and portions of the text summary based on a transcript of the meeting video. The chat and video conference provider determines a second set of correspondences between a second set of video portions from the meeting video and the portions of the text summary based on image data of the meeting video. The chat and video conference provider selects a plurality of video frames from the first set of the correspondences and the second set of correspondences to generate a video summary of the meeting video based on the audio summary.

The present disclosure generally relates to methods and user interfaces for managing live communication between multiple participants using a computer system in accordance with some embodiments.

The invention discloses a conference memory enhancement method and device for a conference tablet and a medium, and relates to the technical field of intelligent conference equipment, and the method comprises the steps: collecting multi-modal data in real time based on a preset data collection technology, and coding the multi-modal data into a space-time event stream according to the time sequence of the multi-modal data; identifying handwritten characters on the conference tablet, and extracting a key tag in a speech in combination with a pre-trained natural language processing model to construct a conference knowledge graph corresponding to the current conference; comparing the conference knowledge graph with a historical conference knowledge graph, determining conflict content, and superposing a virtual information layer on a physical interface of the conference tablet; and querying query association information corresponding to the semantic query request based on the conference knowledge graph and the time-space time stream to determine semantic contradictions, and displaying a historical conference evidence chain of the semantic contradictions based on the virtual information layer.

A digital avatar system can process video streams and generate synthetic video with a digital avatar. The digital avatar provides the appearance of a participant from the video stream talking and one or more of performing various behaviors or actions consistent with the participant's behavior when they are live streamed. A digital avatar system can detect triggering events during a live stream and automatically switch to an avatar mode.

The present disclosure generally relates to user interfaces for multi-user communication sessions. In some examples, a device initiates a live stream in a communication session. In some examples, a device transitions between streaming live audio and live video. In some examples, a device enables synchronizing media playback during a live stream. In some examples, a device displays synchronized media playback and plays a reaction from a first participant of the communication session.

The invention provides a multi-language cross-culture communication assisting method and system based on a large model. The method comprises the following steps: receiving a source language audio stream during a call, calling a multi-language sound frequency harmonic modulation feature library to extract fundamental frequency harmonic intensity distribution and tone turning features, and generating a cultural acoustic fingerprint vector; based on the vector, controlling a microphone array phase difference, directionally enhancing a fundamental frequency harmonic component of a speaker and suppressing noise, and outputting a high signal-to-noise ratio spectrogram; analyzing the pronunciation rhythm and tone turning characteristics of the spectrogram, capturing the pitch jump and duration of the syllable boundary, and generating an acoustic culture label; associating the spectrogram with a target semantic library, matching harmonic distribution and a cultural context rule based on a large model, and outputting a cultural interpretation prompt containing an ambiguity resolution suggestion; and generating a calibration result according to the acoustic tag and the semantic prompt, and overlapping the dynamic floating subtitles to the face area of the speaker in the video conference picture. According to the invention, cultural tone ambiguity in multi-language communication is eliminated.

Methods and systems for real-time video enhancement are provided herein. A current frame of a video stream generated by a client device of a plurality of client devices participating in the video conference is identified during a video conference. An enhanced previous frame corresponding to an enhanced version of a previous frame in the video stream is identified. At least the current frame and the enhanced previous frame are provided as input to a machine-learning model. An output of the machine learning model is obtained. The output of the machine learning model indicates an enhanced current frame corresponding to an enhanced version of the current frame. The current frame is replaced with the enhanced current frame in the video stream.

The invention discloses a ground-air cooperation integrated fire rescue method and platform, and relates to the related technical field of fire rescue, and the method comprises the steps: constructing a fire rescue command center, and dividing fire rescue tasks; based on high-altitude global reconnaissance and low-altitude progressive reconnaissance, the fire scene is monitored in real time, and the basic situation of the fire is obtained; performing fire behavior prediction according to the received fire data to generate a fire situation map; formulating a ground-air cooperative rescue scheme based on the fire situation map; and dynamically configuring a ground-air cooperative rescue scheme according to the basic situation of the fire, and carrying out fire rescue. The technical problems of low rescue efficiency, high personnel safety risk and untimely fire behavior control caused by hysteresis of information acquisition and transmission of a fire scene in the face of a large-area, high-strength or complex-terrain fire in existing fire rescue are solved. The technical effects of improving the rescue efficiency and the decision-making accuracy and reducing the safety risk of the ground rescue personnel are achieved.

Systems and methods for generating online meeting summaries for videoconferencing are provided. For example, a computing device establishes a video conference for a plurality of participants. While the video conference is in progress, the computing device receives a first portion of a transcript of the video conference and generates a first meeting summary based on the first portion of the transcript. The computing device causes the first meeting summary to be presented in a user interface accessible by a client computing device associated with at least one of the plurality of participants. The computing device receives a second portion of the transcript of the video conference and generates a second meeting summary based on the first portion and the second portion of the transcript. The computing device causes the second meeting summary to be presented in the user interface.

The invention relates to the field of data processing, and provides a 5G-based video call information processing method and system, and the method comprises the steps: continuously obtaining a real-time video frame sequence and 5G network environment perception data in a video call scene, carrying out the multi-dimensional state mapping processing of the 5G network environment perception data, constructing a network transmission adaption model, and carrying out the real-time video frame sequence and 5G network environment perception data. Generating a video coding control instruction based on the network transmission adaptation model, performing content-aware coding conversion on the real-time video frame sequence, and outputting a coding optimization stream; in the transmission process of the coding optimization stream, link state fluctuation information is obtained through a 5G network feedback channel, transmission strategy dynamic calibration is performed on the coding optimization stream according to the link state fluctuation information, and a calibration transmission stream is obtained; and carrying out decoding time sequence alignment processing on the calibration transport stream, generating a visual call output sequence which is synchronous with the time of the original video stream unit, and pushing the visual call output sequence to a receiving end presentation device.

A method includes providing, for display on a first client device of a first participant of a plurality of participants of a virtual meeting, a user interface (UI) during the virtual meeting. The UI includes multiple regions each presenting a visual item corresponding to a video stream generated by a client device of a respective participant of the virtual meeting. The method includes detecting engagement of the first participant with a first visual item corresponding to a video stream generated by a second client device of a second participant of the virtual meeting. The method further includes generating one or more information items associated with the second participant. The method further includes causing the one or more information items to be presented within the UI on the first client device of the first participant during the virtual meeting.

The present disclosure generally relates to methods and user interfaces for managing live communication between multiple participants using a computer system in accordance with some embodiments.

Techniques for using collaborative conversational artificial intelligence during video conferencing are provided. In an example method, a video conference provider joins first and second client devices to a video conference. The video conference provider receives, from the first client device, a first prompt and relays the first prompt to a conversational AI, which is followed by receipt of a first response. The video conference provider then outputs, to the second client device, a data structure including information about the first prompt and the first response. In some examples, the video conference provider receives, from the second client device, a second prompt and relays the second prompt to the conversational AI, which is followed by receipt of a second response. The video conference provider then outputs, to the first client device, a data structure including information about the second prompt and the second response.

The invention belongs to the technical field of video communication processing, and particularly relates to an image quality improvement method for a video call of a fusion scheduling system, which comprises the following steps: performing quality evaluation on collected video frames, determining image quality information according to a quality evaluation value, a preset threshold value and statistical historical video frame quality, and sending the image quality information to a server; and then the code rate and the resolution used by the current video coding are obtained, and the video coding parameters are dynamically adjusted based on the image quality information, the code rate and the resolution, so that the self-adaptive video coding parameter adjustment based on the video content is realized, and the optimal video quality and transmission efficiency are achieved. According to the invention, the video data in the video call of the converged communication scheduling system is processed, and the problems that the image quality is reduced and the jamming is obvious are eliminated, so that high-definition and smooth video image quality is provided, the user experience is improved, and the use requirements are met.

A digital healthcare architecture including a cloud-based virtual clinic platform configured to facilitate remote therapy of one or more patients based on biometric authentication systems and methods. In an example arrangement, one or more biometric indicia of a user (e.g., a clinician and / or a patient) as well as one or more non-biometric input factors may be used in authenticating the user prior to granting access to a protected resource or application (e.g., a therapy application executing on a UE device) configured for effectuating remote programming of an implantable medical device (IMD) operative to provide therapy to the patient.

A remote signal-based method and system of performing an authentication of images of a person in order to permit access to a secured resource. The system and method are configured to cause a visual and / or haptic pattern response to occur in a secondary device while collecting image data from a different, primary device. The image data is evaluated to determine whether the appropriate pattern is present. If the pattern is present, the system determines the image is authentic and can verify an identity of the person, and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

A digital agent is pre-trained to be a digital proxy for a user. Taking on the persona (e.g., personality, mannerisms, preferences, knowledge, and in some cases, a realistic visual appearance and voice of the human), the digital agent can effectively act on behalf of the human. During a virtual meeting, the pre-trained digital agent can listen to what the team has to say, ask clarifying questions, answer questions on the human's behalf, and raise points the human would want the team to consider. Since the digital agent visually resembles, sounds like, and acts like the human, the digital agent appears much like other remote participants, thereby improving the meeting experience of the other attendees and facilitating meeting productivity in the absence of a human team member.

Embodiments herein generally relate to video-conferencing systems, and more particularly a method and system for optimally grouping and auto-cropping a field of view (FOV) of the video-conferencing system based on predefined preferences, such as preferences determined by a user. Generally, embodiments of the disclosure provided herein include a video-conferencing system that is configured to update the presentation of participants within a video conference to regularly determine the optimal presentation of the participants at any given moment in time based on predetermined preferences, while mitigating defects and related unwanted distractions typically generated in the video conference presentation due to the changes provided in the updates. Embodiments of the disclosure allow the predetermined preferences to each be given an importance level rating so as to allow the presentation of the participants to be optimally provided without making unnecessary and / or distracting updates to the video conference presentation, and also help resolve conflicting or competing attributes of related preferences.

The present disclosure generally relates to managing live communication sessions. A computer system optionally displays an option to invite the respective user to join the ongoing communication session. A computer system optionally displays one or more options to modify an appearance of an avatar representing the user of the computer system. A computer system optionally transitions a communication session from a spatial communication session to a non-spatial communication session. A computer system optionally displays information about a participant in a communication session.

The invention discloses a network optimization method based on an online conference, which relates to the technical field of real-time audio and video transmission, and comprises the following steps: in a transnational network, deploying monitoring probes at nodes participating in the online conference for monitoring network parameters such as network delay, bandwidth, packet loss rate and jitter in real time; the method comprises the following steps: processing network parameters and predicting abnormity by using a statistical analysis algorithm and a time sequence model to obtain network condition information, and then combining global network topology and using a reinforcement learning Q-Learning model and a graph neural network GNN topology prediction algorithm; according to the method, the network condition is monitored and predicted in real time, the optimal transmission path is output by using the reinforcement learning Q-Learning model and the GNN topology prediction algorithm, the bandwidth fluctuation is predicted through the LSTM, the packet loss rate is predicted based on the Bayesian network, the data transmission strategy is optimized, the network delay, the packet loss rate and the jitter are effectively reduced, and the network performance is improved. And the smoothness and the stability of the conference are improved.