METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR NON INTRUSIVE MEAN OPINION SCORE (MOS) ESTIMATION BASED ON PACKET LOSS PATTERN
Patent №
US 8,625,451
Granted
2014-01-07
Filed 2011
Owner
IXIA
Lab
—
AI components
1
kr
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13111898
Methods, systems, and computer readable media for non-intrusive mean opinion score (MOS) estimation based on packet loss pattern are disclosed. According to one aspect, a method for non-intrusive mean opinion score estimation based on packet loss pattern includes receiving a packet data stream, measuring the packet loss for the received data stream, calculating a probability of packet loss based on the measured packet loss, and calculating an estimated mean opinion score based on the calculated probability of packet loss. In one embodiment, the estimated mean opinion score is calculated using a mathematical function that maps calculated probability of packet loss to mean opinion score. In one embodiment, the mathematical function is a polynomial having coefficients that are selected so that the polynomial closely models reference opinion scores for a range of packet loss probabilities. In one embodiment, the coefficients are determined using a least squares analysis of a dataset that includes reference opinion scores for each of a range of packet loss probabilities. In one embodiment, the reference opinion scores for each of a range of packet loss probabilities are calculated using an intrusive algorithm to analyze lossy data streams that exhibit particular packet loss probabilities and generate mean opinion scores for each of the respective packet loss probabilities.
AI classification
Ownership
IXIA
assignment · 268700957
Assignors
LEVENTU, LUCIAN
On an employer assignment, the assignors are typically the inventors.