tailieunhanh - Báo cáo hóa học: "Research Article Impairment-Factor-Based Audiovisual Quality Model for IPTV: Influence of Video Resolution, Degradation Type, and Content Type"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Impairment-Factor-Based Audiovisual Quality Model for IPTV: Influence of Video Resolution, Degradation Type, and Content Type | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011 Article ID 629284 14 pages doi 2011 629284 Research Article Impairment-Factor-Based Audiovisual Quality Model for IPTV Influence of Video Resolution Degradation Type and Content Type M. N. Garcia R. Schleicher and A. Raake Deutsche Telekom Laboratories Berlin Institute of Technology 10587 Berlin Germany Correspondence should be addressed to M. N. Garcia Received 2 November 2010 Accepted 2 March 2011 Academic Editor Khaled El-Maleh Copyright 2011 M. N. Garcia et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper presents an audiovisual quality model for IPTV services. The model estimates the audiovisual quality of standard and high definition video as perceived by the user. The model is developed for applications such as network planning and packet-layer quality monitoring. It mainly covers audio and video compression artifacts and impairments due to packet loss. The quality tests conducted for model development demonstrate a mutual influence of the perceived audio and video quality and the predominance of the video quality for the overall audiovisual quality. The balance between audio quality and video quality however depends on the content the video format and the audio degradation type. The proposed model is based on impairment factors which quantify the quality-impact of the different degradations. The impairment factors are computed from parameters extracted from the bitstream or packet headers. For high definition video the model predictions show a correlation with unknown subjective ratings of 95 . For comparison we have developed a more classical audiovisual quality model which is based on the audio and video qualities and their interaction. Both quality- and .