19HR3100, Development of Framework to Create and Control Trusted Media based on Social IoM,
Lee Nam Kyung
Abstract
본 과제는 미디어 자체 정보와 미디어 간 연관성을 분석 및 관리를 통하여 사용자가 신뢰성 있는 미디어를 소비할 수 있는 건전한 미디어 소비환경 제공을 위한 소셜 IoM 기반 트러스트 미디어 생성·제어 프레임워크 기술 개발을 목적으로 함. 본 과제를 통하여 미디어 상태정보 수집 및 연결정보 표현 기술, 미디어 자원 객체화 및 미디어 지식베이스 구축 기술, 미디어 유해/불법성 분석 기술, 시맨틱 기반 기계학습형 자동 소셜미디어 스토리텔링 기술 및 유해 동영상 업로드 및 스트림 차단 기술 개발 완료. 상기 기술 개발을 통해서 유해 미디어(음란물) 검출 정확도 99%, 정지영상 기준, 1컷 당 유해성 검출 속도 0.1초 이내를 달성하였으며, 미디어 정보 연관성 분석 수준(웹 기반의 미디어 객체, 데이터 상호연결 수준) 레벨 5를 달성함. 또한, 멀티모달(이미지, 비디오, 텍스트) 기반으로 소셜 미디어 시맨틱 분석 및 편집, 배포 기술을 개발함
(출처 : 요약서 3p)
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