Quality Analysis on Mobile Devices for Real-Time Feedback
Media capture of live events such as concerts can be improved by including user generated content, adding more perspectives and possibly covering scenes outside the scope of professional coverage. In this paper we propose methods for visual quality analysis on mobile devices, in order to provide direct feedback to the contributing user about the quality of the captured content. Thus, wasting bandwidth and battery for uploading/streaming low-quality content can be avoided. We focus on real-time quality analysis that complements information that can be obtained from other sensors (e.g., stability). The proposed methods include real-time capable algorithms for sharpness, noise and over-/ underexposure which are integrated in a capture app for Android. Objective evaluation results show that our algorithms are competitive to state-of-the art quality algorithms while enabling real-time quality feedback on mobile devices.
KeywordsMobile Device Mean Opinion Score Sharpness Score Luminance Component Music Festival
The authors would like to thank their project partners bitmovin for providing the video streaming implementation and VRT for the graphics design. The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement n\(^\circ \) 610370, ICoSOLE (“Immersive Coverage of Spatially Outspread Live Events”, http://www.icosole.eu).
- 2.Fassold, H., Wechtitsch, S., Hofmann, A., Bailer, W., Schallauer, P., Borgotallo, R., Messina, A., Liu, M., Ndjiki-Nya, P., Altendorf, P.: Automated visual quality analysis for media production. In: IEEE International Symposium on Multimedia (2012)Google Scholar
- 5.Hassen, R., Wang, Z., Salama, M.: No-reference image sharpness assessment based on local phase coherence measurement. In: IEEE ICASSP (2010)Google Scholar
- 7.Ko, J., Kim, C.: Low cost blur image detection and estimation for mobile devices. In: 11th ICACT, vol. 3 (2009)Google Scholar
- 8.Schallauer, P., Mörzinger, R.: Film grain synthesis and its application to re-graining. In: SPIE Electronic Imaging (2006)Google Scholar
- 9.Sheikh, H., Wang, Z., Cormack, L., Bovik, A.: LIVE image quality assessment database, release 2 [Online]. http://live.ece.utexas.edu/research/quality
- 12.Yousefi, S., Rabiee, H.R., Mianjy, P.: Optimal exposure detection function for digital and smart-phone camera applications. In: IEEE ICCE (2012)Google Scholar