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Observations of Device Orientation Decisions on Mobile Videos
Author(s) -
Beomjoo Seo,
Shin-Jin Kang,
Soo Kyun Kim
Publication year - 2015
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2015/396276
Subject(s) - computer science , mobile device , robustness (evolution) , orientation (vector space) , computer vision , human–computer interaction , artificial intelligence , real time computing , world wide web , biochemistry , chemistry , geometry , mathematics , gene
A sensor-rich mobile video represents a new type of videos acquired from modern smart phones. During video recording, it is also recorded various amounts of sensor data collected from embedded sensors. Unlike the conventional videos acquired from proprietary capturing devices, these videos allow enriched reconstruction of their surrounding environments, while enabling users to record them handily. In this paper, we examine the robustness of existing device orientation detection method, by analyzing the motion sensor samples that are publicly available from the sensor-rich mobile video hosting website, and discuss our observation results and potential problems when computing device orientation of georeferential mobile videos.

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