NDLI: An Automatic Three-Dimensional Scene Reconstruction System Using Crowdsourced Geo-Tagged Videos

Content Provider	IEEE Xplore Digital Library
Author	Luming Zhang Meng Wang Weisheng Li Richang Hong Maofu Liu
Copyright Year	1982
Abstract	Automatic 3-D scene reconstruction is a useful technique in modern intelligent systems. Scene reconstruction from video sequences requires a selection of representative video frames. Most previous works employ the content-based techniques to automatically extract key frames. These methods take no frame geo-information into account and may be computationally heavy. In this paper, we propose a new key frame selection scheme based on the video geographic cues. Currently, an increasing number of user-generated videos are collected, which is a trend driven by the popularity of smartphones. In addition, it is convenient to acquire and fuse various sensor data (e.g., the geo-spatial metadata) for creating the geo-tagged mobile videos. Nowadays, large repositories of media content are automatically geo-tagged. Our proposed technique utilizes these underlying geo-metadata to select the most representative frames. We first eliminate irrelevant frames in which the candidate 3-D object does not appear. Then, a fixed number of key frames are selected. The criterion is that the selected key frames can maximally cover the candidate 3-D object/scene. Comprehensive experiments demonstrate the high quality of the reconstructed 3-D objects. Moreover, the execution time is reduced by 90%.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	5738
Ending Page	5746
Page Count	9
File Size	981657
File Format	PDF
ISSN	02780046
Volume Number	62
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Videos Cameras Image reconstruction Manifolds Trajectory Global Positioning System Geo-tagged Key frames 3D reconstruction Manifold Usergenerated videos user-generated videos (UGVs) key frames manifold 3-D reconstruction
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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