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Proceedings Paper

A quality metric for use with frame-rate based bandwidth adaptation algorithms
Author(s): Matthias Krause; Michael van Hartskamp; Emile Aarts
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Paper Abstract

Despite the growth in network capacity of wireless in-home networks, these networks often have insufficient capacity to support multiple simultaneous Audio/Video streams. Unpredictable behavior of these networks results in a drop of video quality for the end-user. A method for reducing the claim of an individual A/V stream on the network capacity is controlled frame dropping. However, controlled frame dropping will only be accepted if its effect on the quality that endusers experience is minimized. In this paper, we define an objective quality metric for frame dropping methods, to determine when frame dropping is not effective any more. The quality metric, a fraction between 0 and 1, is related to the characteristics of frame dropping. A quality level below 0.9 indicates that a detectable amount of frames has been dropped. A quality level above 0.98 indicates that no significant frame drops occurred recently. The metric is validated with simulations.

Paper Details

Date Published: 14 February 2008
PDF: 10 pages
Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68061F (14 February 2008); doi: 10.1117/12.766251
Show Author Affiliations
Matthias Krause, Philips Research Europe (Netherlands)
Michael van Hartskamp, Philips Research Europe (Netherlands)
Emile Aarts, Philips Research Europe (Netherlands)
Eindhoven Univ. of Technology (Netherlands)


Published in SPIE Proceedings Vol. 6806:
Human Vision and Electronic Imaging XIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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