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Vision AI-Based Automatic Selective De-Identification
- 김대진;
- 전윤걸
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
- 제목
- Vision AI-Based Automatic Selective De-Identification
- 제목 (타언어)
- 영상 AI 기반의 자동 선별적 비식별화
- 저자
- 김대진; 전윤걸
- 발행일
- 2023-04
- 저널명
- 디지털컨텐츠학회논문지
- 권
- 24
- 호
- 4
- 페이지
- 725 ~ 734