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One Sensor is not Enough: Adapting and Fusing Sensors for Video Quality Assessment

Key:WLE16
Author:Stefan Wilk, Manisha Luthra, Wolfgang Effelsberg
Date:September 2016
Kind:In proceedings - use for conference & workshop papers
Publisher:ACM
Address:New York, NY, USA
Book title:Proceedings of the 2016 ACM on Multimedia Conference
Pages:626-630
Abstract:In comparison to professional productions, User Generated Video (UGV) often suffers from quality degradations such as camera shakes or harmful occlusions. Quick and reliable algorithms are needed to detect and assess the impact of these quality degradations. Recently, researchers lever- age data from auxiliary sensors such as gyroscope readings or accelerometer values for quality assessment. In comparison to video-based approaches, auxiliary sensor-based ones achieve results more quickly but often lack precision. This work proposes a framework for the combined analy- sis of UGV which leverages the strength of video-based and auxiliary sensor-based algorithms. In addition, we propose a hybrid algorithm for camera shake detection, which dynami- cally adapts which sensor readings to use for the assessment. A hybrid algorithm achieves an improved precision and a reduced runtime in comparison to the usage of a single sensor.
URL:https://dl.acm.org/citation.cfm?id=2967297&CFID=866303361&CFTOKEN=41031521
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