3D Virtual Portrait Real-Time Intent Response
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Solution Overview
Problem
Existing virtual portrait technologies have limited anthropomorphic capabilities and are mainly confined to scripted scenarios, requiring high development costs and manpower, and are unable to effectively interact with users in real-time based on their intentions.
Innovation Solution
A method and apparatus that receive video and audio inputs from users, analyze them to determine user intentions, and generate feedback information to create a three-dimensional virtual portrait using an animation engine, allowing for customizable and dynamic interactions by determining target expression, mouth shape, and action information based on the user's input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing virtual portrait technologies are used, then high anthropomorphic effect is achieved, but the system is limited to scripted scenarios and cannot respond to user intentions in real-time
Solution Approach 1:
The system implements a feedback mechanism where user video and audio inputs are continuously analyzed to determine intention categories, and the virtual portrait responds with generated feedback information. This closed-loop feedback enables the system to adapt to user intentions in real-time while maintaining manageable complexity through structured processing stages.
Solution Approach 2:
The virtual portrait system performs self-service by automatically analyzing user inputs and generating appropriate responses without requiring external scripting or manual programming for each scenario. The intention category analysis and feedback generation mechanisms enable the system to handle diverse user intentions autonomously.
2Ease of manufacture
If existing virtual portrait technologies are used, then high anthropomorphic effect is achieved, but development manpower and time costs are high
Solution Approach 1:
The system segments the complex virtual portrait interaction into distinct modules: video input processing, audio input processing, intention category analysis, feedback information generation, and virtual portrait rendering. This segmentation reduces development complexity and cost while maintaining high interaction accuracy through specialized processing for each module.
Solution Approach 2:
The system changes parameters dynamically based on user intentions by analyzing video and audio inputs to determine intention categories, then adjusting the virtual portrait's responses accordingly. This parameter-based approach enables adaptable interactions without requiring extensive development for each possible scenario.
3Adaptability or versatility
If scripted scenarios are used, then development costs are reduced, but the system cannot provide tailored responses matching user intentions
Solution Approach 1:
The system uses feedback from video and audio analysis to determine user intentions and generate tailored responses. The feedback loop continuously monitors user inputs and adjusts the virtual portrait's responses accordingly, providing adaptability without requiring complex scripted scenarios for every possible interaction.
Solution Approach 2:
The system replaces traditional mechanical scripting approaches with automated intention analysis mechanisms. Instead of programming specific responses for predefined scenarios, the system uses video and audio analysis to automatically determine user intentions and generate appropriate responses, reducing processing complexity while enhancing adaptability.
Data Source
AI summary
Embodiments of the present disclosure provide a method and apparatus for generating information, and relate to the field of cloud computation. The method may include: receiving a video and an audio of a user from a client; analyzing the video and the audio to determine an intention category of the user; generating feedback information according to the intention category of the user and a preset service information set; generating a video of a pre-established three-dimensional virtual portrait by means of an animation engine based on the feedback information; and transmitting the video of the three-dimensional virtual portrait to the client, for the client to present to the user.