Avatar Output Device Using Local Quality for Processing Load
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Solution Overview
Problem
Existing avatar output systems face challenges in providing a suitable avatar for users while managing processing load when outputting multiple avatars, as they struggle to balance avatar quality and data size, leading to increased processing demands.
Innovation Solution
The avatar output device employs a system with an avatar storage unit, a determination unit, and an acquisition unit to differentiate between first and second model information based on data size, allowing for the selection and output of avatars with smaller data sizes, along with voice information management, to optimize processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-quality avatar model information is used for all avatars, then avatar display quality is improved, but processing load increases
Solution Approach 1:
The patent applies local quality by differentiating avatar model information quality based on user roles and positions. Main characters (important avatars) use first model information with higher quality, while sub characters (less important avatars) use second model information with lower quality. This resolves the contradiction by optimizing resource allocation - high quality is applied locally where needed rather than uniformly across all avatars, thus maintaining necessary display quality while reducing overall processing load.
2Productivity
If smaller data size avatar models are used, then processing load is reduced, but avatar quality deteriorates
Solution Approach 1:
The patent implements dynamics by making the avatar model quality adaptive rather than static. The system dynamically selects between first model information (higher quality) and second model information (lower quality) based on runtime conditions such as user role, position, and importance. This allows the system to optimize processing load by using smaller data sizes for less important avatars while preserving quality for important ones, resolving the contradiction through conditional adaptability.
3Adaptability or versatility
If multiple avatars are output simultaneously, then system functionality is improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the avatar population into distinct groups: main characters and sub characters. Each group is assigned different model information types (first model information for main characters, second model information for sub characters). This segmentation simplifies processing complexity by creating clear categories with different resource requirements, allowing the system to efficiently manage multiple avatars simultaneously without treating each one individually with full complexity.
Data Source
AI summary
An avatar output device includes an avatar storage unit that stores, for each of two or more avatars, avatar information including first model information for displaying the avatar; a determination unit that determines at least one first avatar displayed using the first model information and at least one second avatar displayed using second model information with a data size smaller than a data size of the first model information from among the two or more avatars; an avatar acquisition unit that acquires an avatar using the second model information for each of the at least one second avatar determined by the determination unit, and acquires an avatar using the first model information for each of the at least one first avatar; and an avatar output unit that outputs the two or more avatars acquired by the avatar acquisition unit.