Virtual Image Behavior Control via Text Encoder Attention
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Solution Overview
Problem
Existing methods for controlling virtual images based on text lack the ability to drive expressions and actions without human intervention, resulting in limited and unvaried behaviors, making them unsuitable for scenarios requiring continuous and personalized interactions.
Innovation Solution
A method and device that utilize a symbol-based text classification system, generating input vectors, and employing a first encoder network with an attention mechanism to determine behavior trigger positions and content, allowing the virtual image to present actions and expressions based on text, enabling uninterrupted and customizable operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a virtual image is controlled by text without human intervention, then automation is improved, but the variety and richness of behaviors deteriorate
Solution Approach 1:
The system pre-processes the input text by inserting classification symbols and generating input vectors before the virtual image needs to respond. The encoder network pre-encodes these vectors to extract behavior-related features, so that when the virtual image needs to act, the behavior analysis is already prepared, enabling autonomous response without human intervention while maintaining rich behavior variety through pre-computed semantic understanding
Solution Approach 2:
The patent introduces an encoder network as an intermediary between the text input and the virtual image control system. This intermediary component processes the text through attention mechanisms to identify behavior trigger positions and extract behavior content, translating human language into actionable control signals that enable diverse behaviors without direct human intervention
2Productivity
If the virtual image operates continuously without human intervention, then productivity is improved, but the complexity of the control system deteriorates
Solution Approach 1:
The control system is segmented into distinct functional modules: a text processing module that inserts classification symbols and generates input vectors, an encoding module with attention mechanisms that identifies behavior trigger positions, and a control module that executes behaviors. This segmentation allows continuous autonomous operation while managing complexity through modular design, where each module handles a specific aspect of the control process
Solution Approach 2:
The system is designed to be self-sufficient by automatically processing text inputs through the encoder network to generate control signals for the virtual image. The attention mechanism automatically identifies behavior trigger positions without human guidance, and the system continuously operates by self-generating appropriate responses, eliminating the need for human intervention while maintaining operational efficiency
Data Source
AI summary
A method and device for behavior control of a virtual image based on a text, and a medium are disclosed. The method includes inserting a symbol in a text, and generating a plurality of input vectors corresponding to the symbol and elements in the text; inputting the plurality of input vectors to a first encoder network, and determining a behavior trigger position in the text based on an attention vector of a network node corresponding to the symbol; determining behavior content based on a first encoded vector that is outputted from the first encoder network and corresponds to the symbol; and playing an audio corresponding to the text, and controlling the virtual image to present the behavior content when the audio is played to the behavior trigger position.