Parametric Model For Audiovisual Quality Assessment In Iptv: Itu-T Rec. P.1201.2

M. -N. Garcia, P. List,S. Argyropoulos,D. Lindegren, M. Pettersson, B. Feiten, J. Gustafsson, A. Raake

Multimedia Signal Processing(2013)

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摘要
A parametric packet-based model has been created to estimate user perceived audiovisual quality of Internet Protocol Television (IPTV) services. It is divided into three modules, for audio, video and audiovisual quality. The model is applicable to the quality monitoring of encrypted and non-encrypted audiovisual streams. Typical audio and video degradations for IPTV are covered for Standard Definition (SD) and High Definition (HD) video formats. The model supports the H. 264 video codec and the audio codecs MPEG-I Layer II, MPEG-2 AAC-LC, MPEG-4 HE-AACv2 and AC3. It handles various types of IP-network layer transmission errors. The model was developed and validated using a large database of subjective tests. The underlying concept is based on an impairment factor approach, which enables detection of how users build their individual judgment of quality of a given audiovisual signal. Each impairment factor captures the perceived quality impact of a possible degradation and therefore enables diagnostic analysis of quality problems. The model shows high performance results, both in terms of Pearson's Correlation coefficient (r) and Root-Mean-Square-Error (RMSE). The model is standardized as ITU-T Recommendation P.1201.2, the higher resolution (IPTV and Video on Demand (VoD)) algorithm of Recommendation P.1201.
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关键词
IPTV,audio coding,audio streaming,audio-visual systems,cryptography,high definition video,video codecs,video coding,video streaming,AC3,H.264 video codec,HD video format,IP-network layer transmission error,IPTV services,ITU-T Rec. P.1201.2,ITU-T Recommendation P.1201.2,Internet Protocol Television services,MPEG-2 AAC-LC,MPEG-4 HE-AACv2,MPEG-I Layer II,Pearson correlation coefficient,RMSE,Recommendation P.1201,SD video format,audio codecs,audio degradation,audio quality,audiovisual quality assessment,audiovisual signal,encrypted audiovisual streams,high-definition video format,impairment factor approach,nonencrypted audiovisual streams,parametric packet-based model,perceived quality impact,quality judgment,quality monitoring,root mean square error,standard definition video format,user perceived audiovisual quality estimation,video degradation,video quality
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