White Papers

Predicting User-Perceived Quality Ratings From Streaming Media Data

Overview Media stream quality is highly dependent on underlying network conditions, but identifying scalable, unambiguous metrics to discern the user-perceived quality of a media stream in the face of network congestion is a challenging problem. User-perceived quality can be approximated through the use of carefully chosen application layer metrics, precluding the need to poll users directly. The paper discusses the use of data mining prediction techniques to analyze application layer metrics to determine user-perceived quality ratings on media streams. The paper shows that several such prediction techniques are able to assign correct (within a small tolerance) quality ratings to streams with a high degree of accuracy.

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Publisher: Institute of Electrical and Electronics Engineers
File Format: PDF
Date Published: Oct 22, 2008
Format: White Papers
Topics: Streaming Media

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