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Conference Paper 모바일 기반 개인형 문화유산 도슨트 서비스 개발 및 평가
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Authors
이지원, 남도원
Issue Date
2026-06
Citation
대한전자공학회 학술 대회 (하계) 2026, pp.1-4
Publisher
대한전자공학회
Language
Korean
Type
Conference Paper
Abstract
This paper proposes a mobile-based personalized cultural heritage docent service using an image retrieval engine to provide customized viewing experiences. To ensure robust performance in mobile environments, we employed a ViT-based retrieval model with area cropping-based preprocessing. Experimental results demonstrated a Top-1 accuracy of 88.01% and a high-speed inference of 85.97 ms, validating the system’s suitability for real-time services. Furthermore, we present a detailed design to expand this platform into an autonomous curating robot featuring a feedback loop that responds to visitor inquiries in real time.
KSP Keywords
Cultural Heritage, Docent service, Feedback loop, High-speed, Image retrieval, Real-time services, Robust performance, detailed design, mobile environment, retrieval model