Abstract
This paper studies the perceptual quality of video streams over lossy wireless networks. The focus is on investigating the impact on the perceived video quality of both physical error impairments and packet losses due to network congestion, by using objective and subjective evaluation methods. Extensive video quality assessments have shown that packet losses due to congestion are more severe than packet losses due to the physical error on the objective video quality. Furthermore, the comparison of MOS among different spatial resolution video sequences of the same bit rate indicates that a better perceived video quality can be achieved for lower resolution when the network is characterized by both high BER and network load.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhang, Q., Zhu, W., Zhang, Y.-Q.: End-to-End QoS for Video Delivery Over Wireless Internet. Proceedings of the IEEE 93(1), 123–134 (2005)
Li, F., Liu, G.: Transmission Distortion Analysis for H.264 Video over Wireless Networks. In: 4th IEEE International Conference on Circuits and Systems for Communications, Shanghai, China, May 26-28, pp. 477–481 (2008)
Chikkerur, S., Sundaram, V., Reisslein, M., Karam, L.J.: Objective Video Quality Assessment Methods:A Classification, Review, and Performance Comparison. IEEE Transactions onBroadcasting 57(2), 165–182 (2011)
De Simone, F., Naccari, M., Tagliasacchi, M., Dufaux, F., Tubaro, S., Ebrahimi, T.: Subjective Quality Assessment of H.264/AVC Video Streaming with Packet Losses. EURASIP Journal on Image and Video Processing 2011, 1–12 (2011)
De Simone, F., Goldmann, L., Lee, J.-S., Ebrahimi, T., Baroncini, V.: Subjective evaluation of next-generation video compression algorithms: a case study. In: Proc. of SPIE, San Diego, California (August 2010)
ITU-R BT.500-11, Methodology for the Subjective Assessment (2002)
Gilbert, E.N.: Capacity of a burst-noise channel. Bell Systems Technical Journal 39, 1253–1265 (1960)
Elliot, E.: Estimates of error rates for codes on burst-noise channels. Bell Systems Technical Journal 42, 1977–1997 (1963)
Wang, H.S., Moayeri, N.: Finite-state Markov Channel—A useful Model for Radio Communication Channels. IEEE Transactions on Vehicular Technology 44(1), 163–171 (1995)
Zhang, Q., Kassam, S.: Finite-State Markov Model for Rayleigh Fading Channels. IEEE Transactions on Communications 47(11), 1688–1692 (1999)
Sadeghi, P., Kennedy, R.A., Rapajic, P.B., Shams, R.: Finite-state Markov Modeling of Fading Channels: A Survey of Principles and Applications. IEEE Signal Processing Magazine 25(5), 57–80 (2008)
Zhu, H., Karachontzitis, S., Toumpakaris, D.: Low Complexity Resource Allocation in Downlink Distributed Antenna Systems. IEEE Wireless Communications Magazine 17(3), 44–50 (2010)
Aspelin, K.: (2005-05-25). Establishing Pedestrian Walking Speeds. Portland State University (retrieved August 24, 2009)
Oelbaum, T., Schwarz, H., Wien, M., Wiegand, T.: Subjective performance evaluation of the SVC Extension of H.264/AVC. In: IEEE ICIP Conference, San Diego (October 2008)
H.264/AVC Software Coordination (2007), http://iphome.hhi.de/suehring/tml/
The Network Simulator–NS-2, http://www.isi.edu/nsnam/ns/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Politis, I., Tsagkaropoulos, M., Dagiuklas, T., Dounis, L. (2012). On Measuring the Perceptual Quality of Video Streams over Lossy Wireless Networks. In: Atzori, L., Delgado, J., Giusto, D. (eds) Mobile Multimedia Communications. MobiMedia 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30419-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-30419-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30418-7
Online ISBN: 978-3-642-30419-4
eBook Packages: Computer ScienceComputer Science (R0)