@article{ART003283744},
author={박지우 and Kang taewook and Chang-Sun Shin and Cho Yong Yun and PARK CHUL YOUNG},
title={A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={6},
pages={25}
TY - JOUR
AU - 박지우
AU - Kang taewook
AU - Chang-Sun Shin
AU - Cho Yong Yun
AU - PARK CHUL YOUNG
TI - A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 6
PB - The Korea Internet of Things Society
SP - 25
EP -
SN - 2466-0078
AB - This study proposes an automatic classification method combining a Vision-Language Model (VLM) with evidence-based reasoning to efficiently identify illegal banners in urban environments. The system analyzes the type and textual content of advertisement images and enhances decision reliability through Rule-of-2 and Verifier procedures. Experimental results show an overall accuracy of approximately 70%, with F1-scores of 0.73 for the illegal class and 0.65 for the legal class. Confusion matrix analysis indicates 8 false positives and 24 false negatives. These findings suggest the need to reduce false positives while maintaining illegal detection performance. This study demonstrates the potential for automating urban advertisement enforcement and highlights the need for extensive datasets and integration with administrative systems for rigorous validation.
KW - Urban Environment Monitoring;Illegal Banner Detection;Vision-Language Model;;Contextual Reasoning;Automated Enforcement System
DO -
UR -
ER -
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun and PARK CHUL YOUNG. (2025). A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. Journal of Internet of Things and Convergence, 11(6), 25.
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun and PARK CHUL YOUNG. 2025, "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning", Journal of Internet of Things and Convergence, vol.11, no.6 25.
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun, PARK CHUL YOUNG "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning" Journal of Internet of Things and Convergence 11.6 25 (2025) : 25.
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun, PARK CHUL YOUNG. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. 2025; 11(6), 25.
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun and PARK CHUL YOUNG. "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning" Journal of Internet of Things and Convergence 11, no.6 (2025) : 25.
박지우; Kang taewook; Chang-Sun Shin; Cho Yong Yun; PARK CHUL YOUNG. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. Journal of Internet of Things and Convergence, 11(6), 25.
박지우; Kang taewook; Chang-Sun Shin; Cho Yong Yun; PARK CHUL YOUNG. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. Journal of Internet of Things and Convergence. 2025; 11(6) 25.
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun, PARK CHUL YOUNG. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. 2025; 11(6), 25.
박지우, Kang taewook, Chang-Sun Shin, Cho Yong Yun and PARK CHUL YOUNG. "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning" Journal of Internet of Things and Convergence 11, no.6 (2025) : 25.
