NDLI: Active key frame selection for 3D model reconstruction from crowdsourced geo-tagged videos

Content Provider	IEEE Xplore Digital Library
Author	Guanfeng Wang Ying Lu Luming Zhang Alfarrarjeh, A. Zimmermann, R. Seon Ho Kim Shahabi, C.
Copyright Year	2014
Description	Author affiliation: Integrated Media Syst. Center, Univ. of Southern California, Los Angeles, CA, USA (Ying Lu; Alfarrarjeh, A.; Seon Ho Kim; Shahabi, C.) \|\| Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore (Guanfeng Wang; Luming Zhang; Zimmermann, R.)
Abstract	Automatic reconstruction of 3D models is attracting increasing attention in the multimedia community. Scene recovery from video sequences requires a selection of representative video frames. Most prior work adopted content-based techniques to automate key frame extraction. However, these methods take no frame geo-information into consideration and are still compute-intensive. Here we propose a new approach for key frame selection based on the geographic properties of videos. Currently, an increasing number of user-generated videos (UGVs) are collected - a trend that is driven by the ubiquitous availability of smartphones. Additionally, it has become easy to continuously acquire and fuse various sensor data (e.g., geo-spatial metadata) with video to create geo-tagged mobile videos. Our novel technique utilizes these underlying geo-metadata to select the most representative frames. Specifically, a key frame subset with minimal spatial coverage gain difference is extracted by incorporating a manifold structure into reproducing a kernel Hilbert space to analyze the spatial relationship among the frames. Our experimental results illustrate that the execution time of the 3D reconstruction is shortened while the model quality is preserved.
Starting Page	1
Ending Page	6
File Size	707017
Page Count	6
File Format	PDF
ISBN	9781479947614
DOI	10.1109/ICME.2014.6890253
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Videos Image reconstruction Solid modeling Computational modeling Manifolds Kernel geo-tagged mobile video Key frame selection 3D reconstruction manifold adaptive kernel space
Content Type	Text
Resource Type	Article

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