Vision AI-Based Automatic Selective De-Identification

영상 AI 기반의 자동 선별적 비식별화

초록

Recently, with personal information being increasingly used in several applications, its leakage and resulting damage have become a relevant concern. In video data, only people consenting to the collection of personal data are to be identified, and other people should be de-identified. In current automatic de-identification, not all objects are identified, and de-identification of only recognized objects is performed manually using video editor tools. Therefore, in this study, face/object-detection-based automatic selective de-identification was conducted through artificial intelligence technology to identify approved objects and de-identify remaining objects. Thus, selective protection can be automatically performed while ensuring the usability and stability of personal information.

키워드

Selective de-identificationPersonal informationFace recognitionObject recognitionAutomatic선별적 비식별화개인정보얼굴인식객체인식자동화
제목
Vision AI-Based Automatic Selective De-Identification
제목 (타언어)
영상 AI 기반의 자동 선별적 비식별화
저자
김대진전윤걸
DOI
10.9728/dcs.2023.24.4.725
발행일
2023-04
저널명
디지털컨텐츠학회논문지
24
4
페이지
725 ~ 734