DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Myungchul | - |
dc.contributor.advisor | 김명철 | - |
dc.contributor.author | Lee, Suyeong | - |
dc.date.accessioned | 2023-06-26T19:31:17Z | - |
dc.date.available | 2023-06-26T19:31:17Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1007057&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/309503 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2021.2,[iii, 34 p. :] | - |
dc.description.abstract | Recently, Mobile Augmented Reality (MAR) is highlighted as a service that is feasible with the deployment of 5G cellular system. Previous researches have focused on the efficient usage of Mobile Edge Computing (MEC) server for the MAR services or enhanced Computer Vision approaches which use Machine Learning or Deep Learning. These researches are not considering Object Detection using the object location information such as relative coordinate or absolute coordinate of objects. In this thesis, we study the feasibility of Object Detection using object location information, proposing the system which uses the MEC server to store the Object Detection results with the object location information and to fetch them for the later use based on the location information of user and object location and user interaction. Our experiments show that the proposed system shortens the Object Detection Latency about one out of ten times faster than the YOLOv3Tiny model using little CPU computation power which is a quarter of it from the Object Detection approach which uses mobile device only. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Mobile edge computing▼aMobile augmented reality▼aObject detection▼aObject location information▼aComputer network | - |
dc.subject | 모바일 엣지 컴퓨팅▼a모바일 증강 현실▼a객체 탐지▼a객체 위치 정보▼a컴퓨터 네트워크 | - |
dc.title | Efficient object detection using object location information for mobile augmented reality | - |
dc.title.alternative | 모바일 증강현실을 위한 객체 위치 정보를 이용한 효율적인 객체 탐지 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | 이수영 | - |
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