Abstract
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.
Highlights
When you take photos from a mobile phone and see them later, you may be embarrassed by incorrectly positioned upside-down or sideways photos
With the assistance from a powerful photo editing utility, you will reluctantly reposition the photos to correct their orientation, while wondering why the modern smartphone equipped with the decent microelectromechanical systems (MEMS) sensor technology fails to detect the right orientation
We report our simplified device orientation mode categorization results for every orientation vector
Summary
When you take photos from a mobile phone and see them later, you may be embarrassed by incorrectly positioned upside-down or sideways photos. Such abnormally oriented photos are quite commonly observable even with a recently launched smartphone. The recent standardization efforts on HTML5 technology for video support make on-the-fly mobile video rotation in a web browser feasible, so that it may unnecessitate the reencoding task. As long as the mobile video has a clue on its orientation information and is playable in a web browser, there is little cost on the real-time orientation change for the mobile video
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Distributed Sensor Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
