Virtual Card Overlay in Video Conferencing via Speaker Recognition
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Solution Overview
Problem
Remote video conferences face low card sharing efficiency due to the lack of effective methods for identifying and displaying virtual business cards in real-time to multiple participants.
Innovation Solution
A method and system for sending virtual cards, which involves receiving audio-video stream data from participant terminals, identifying speakers using face or voiceprint characteristic information, generating virtual cards, overlaying them onto the audio-video stream data, and synthesizing with other data for real-time display across all terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional round table conference is used, then face-to-face card sharing is possible, but communication efficiency is reduced due to remote limitations
Solution Approach 1:
The patent creates virtual business cards that are digital copies of physical business cards, allowing them to be transmitted and displayed across remote video conference participants. The virtual card contains the same information as a physical card but exists in digital form, enabling easy sharing without physical contact.
Solution Approach 2:
The system introduces a server as an intermediary that receives audio-video stream data, extracts speaker information, generates virtual cards, and distributes them to all participants. This mediator enables automatic card sharing without requiring direct peer-to-peer interaction between conference participants.
2Productivity
If manual card sharing is implemented in video conferences, then card information can be exchanged, but sharing efficiency is low due to complex operations
Solution Approach 1:
The system enables automatic identification of speakers through face recognition technology, eliminating the need for manual intervention. The server automatically detects who is speaking, retrieves their business card information, and displays it to all participants without requiring any user action beyond natural conversation.
Solution Approach 2:
The system pre-loads and stores business card information in a database before the conference begins. When a speaker is identified, the system can immediately retrieve and display their card information without delay, as the data preparation has already been completed in advance.
3Extent of automation
If speaker identification is performed using face recognition, then virtual cards can be automatically generated, but system complexity increases
Solution Approach 1:
The server is designed to perform multiple functions: it handles video streaming, conducts face recognition, extracts speaker information, queries the database for business card data, and manages the distribution of virtual cards to all participants. This multi-functional design consolidates complexity into a single centralized system rather than requiring separate components for each function.
Data Source
AI summary
Disclosed are a method, device and system for sending a virtual card and a readable storage medium, which are configured to receive at least one audio-video stream data of a plurality of participant terminals in communication connection with a server side; determine target audio-video stream data corresponding to at least one speaker from the at least one audio-video stream data; obtain biological characteristic information for identifying the at least one speaker from the target audio-video stream data, the biological characteristic information includes face characteristic information and/or voiceprint characteristic information; generate a virtual card according to the biological characteristic information; overlay the virtual card to the target audio-video stream data, and synthesize the target audio-video stream data with other audio-video stream data in response to there being a plurality of audio-video stream data into a to-be-sent audio-video stream data; send the to-be-sent audio-video stream data to the participant terminals.