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ffmpeg과 YOLO를 이용한 동영상 내 객체 탐지 자동화 솔루션

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dc.contributor.author주종화-
dc.contributor.author김지민-
dc.contributor.author심정용-
dc.contributor.author원태호-
dc.contributor.author윤기범-
dc.date.accessioned2025-09-09T10:03:36Z-
dc.date.available2025-09-09T10:03:36Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/61464-
dc.description.abstract본 발명은 기존의 수동적인 라벨링 툴로 객체 학습데이터를 얻어내는 과정을 자동화한 서비스로 제공함으로써 보다 간편하고 빠른 속도로 대량의 입력 영상에서 양질의 학습데이터를 추출할 수 있게 한다.-
dc.titleffmpeg과 YOLO를 이용한 동영상 내 객체 탐지 자동화 솔루션-
dc.title.alternativeAutomating object detection in videos using ffmpeg and YOLO-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2022-01-25-
dc.date.registration2025-05-29-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-2816328-
dc.identifier.patentApplicationNumber10-2022-0010850-
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Joo, Jong Wha Joanne
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
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