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Querying geo-tagged videos for vision applications using spatial metadata
Cai, Yinghao1; Lu, Ying2; Kim, Seon Ho2; Nocera, Luciano2; Shahabi, Cyrus2
Source PublicationEURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
2017-02-23
SubtypeArticle
AbstractIn 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 HeadingsScience & Technology ; Technology
DOI10.1186/s13640-017-0165-6
Indexed BySCI
Language英语
Funding OrganizationNSF(IIS-1320149 ; USC Integrated Media Systems Center (IMSC) ; National Natural Science Foundation of China(61503381) ; CNS-1461963)
WOS Research AreaEngineering ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000395006600001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14394
Collection空天信息研究中心
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Southern Calif, Integrated Media Syst Ctr, Los Angeles, CA 90089 USA
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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