Querying geo-tagged videos for vision applications using spatial metadata | |
Cai, Yinghao1![]() | |
刊名 | EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
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2017-02-23 | |
DOI | 10.1186/s13640-017-0165-6 |
文献子类 | Article |
英文摘要 | In this paper, we propose a novel geospatial image and video filtering tool (GIFT) to select the most relevant input images and videos for computer vision applications with geo-tagged mobile videos. GIFT tightly couples mobile media content and their geospatial metadata for fine granularity video manipulation in the spatial and temporal domain and intelligently indexes field of views (FOVs) to deal with large volumes of data. To demonstrate the effectiveness of GIFT, we introduce an end-to-end application that utilizes mobile videos to achieve persistent target tracking over large space and time. Our experimental results show promising performance of vision applications with GIFT in terms of lower communication load, improved efficiency, accuracy, and scalability when compared with baseline approaches which do not fully utilize geospatial metadata. |
WOS研究方向 | Engineering ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000395006600001 |
资助机构 | NSF(IIS-1320149 ; USC Integrated Media Systems Center (IMSC) ; National Natural Science Foundation of China(61503381) ; CNS-1461963) |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/14394] ![]() |
专题 | 自动化研究所_空天信息研究中心 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Univ Southern Calif, Integrated Media Syst Ctr, Los Angeles, CA 90089 USA |
推荐引用方式 GB/T 7714 | Cai, Yinghao,Lu, Ying,Kim, Seon Ho,et al. Querying geo-tagged videos for vision applications using spatial metadata[J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING,2017. |
APA | Cai, Yinghao,Lu, Ying,Kim, Seon Ho,Nocera, Luciano,&Shahabi, Cyrus.(2017).Querying geo-tagged videos for vision applications using spatial metadata.EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING. |
MLA | Cai, Yinghao,et al."Querying geo-tagged videos for vision applications using spatial metadata".EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2017). |
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