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Volume: 30 | Article ID: art00010
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Estimating the Subjective Video Stability of First-Person Videos
  DOI :  10.2352/ISSN.2470-1173.2018.14.HVEI-510  Published OnlineJanuary 2018
Abstract

First-Person Videos (FPVs) captured by body-mounted cameras are usually too shaky to watch comfortably. Many approaches, either software-based or hardware-based, are proposed for stabilization. Most of them are designed to maximize stability of videos. However, according to our previous work [1], FPVs need to be carefully stabilized to maintain their First-Person Motion information (FPMI). To stabilize FPVs appropriately, we propose a new video stability estimator Viewing Experience under "Central bias + Uniform" model (VECU) for FPVs on the basis of [1]. We first discuss stability estimators and their role in applications. Based on the discussion and our application target, we design a subjective test using real scene videos with synthetic camera motions to help us to improve the human perception model proposed in [1]. The proposed estimator VECU measures the absolute stability and the experimental results show that it has a good interval scale and outperforms existing stability estimators in predicting subjective scores.

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  Cite this article 

Biao Ma, Amy R. Reibman, "Estimating the Subjective Video Stability of First-Person Videosin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2018,  pp 1 - 7,  https://doi.org/10.2352/ISSN.2470-1173.2018.14.HVEI-510

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Copyright © Society for Imaging Science and Technology 2018
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