The effects of jitter on the peceptual quality of video
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Real-time monitoring of video quality in IP networks
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Quality monitoring of video over a packet network
IEEE Transactions on Multimedia
Modeling packet-loss visibility in MPEG-2 video
IEEE Transactions on Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
QoS evaluation of sender-based loss-recovery techniques for VoIP
IEEE Network: The Magazine of Global Internetworking
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In this paper we evaluate NORM, a NO-Reference video quality Monitoring algorithm we proposed in a previous work, for the prediction of the subjective quality of H.264/AVC video transmitted over a noisy packet-switched network. NORM produces an estimate of the mean square error distortion at the macroblock level between the noiseless and noisy sequence, without having access to the former. The output of NORM can be readily converted into a no-reference estimate of the PSNR at the sequence level. We carried out an extensive subjective evaluation campaign on CIF and 4CIF resolution sequences encoded with H.264/AVC and transmitted over a channel that drops packets at different packet loss rates, to obtain the differential mean opinion scores. Our results show that the estimated PSNR achieves good correlation with the subjective scores, very close to the ones achieved by the PSNR computed in full-reference mode, i.e. as if the noiseless sequence would be available at the decoder.