Paper
18 March 2005 Annoyance of individual artifacts in MPEG-2 compressed video and their relation to overall annoyance
Chin Chye Koh, Sanjit K. Mitra, John M. Foley, Ingrid E. J. Heynderickx
Author Affiliations +
Proceedings Volume 5666, Human Vision and Electronic Imaging X; (2005) https://doi.org/10.1117/12.587423
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
In this work we describe a study on a limited number of artifacts in MPEG-2 compressed video with the primary aim to analyze how annoying these compression artifacts are. More specifically, the objectives were: (1) to determine how the subjective annoyances of individual artifacts contribute to the overall annoyance, (2) to obtain the subjective ranks of the artifacts, and (3) to determine what relationships exist between annoyance values and annoyance ranks. To this end, a psychophysical experiment was carried out in which observers provided us with their subjective assessment of video sequences. The results showed that at low compression bit-rates, the blocking artifacts were the most annoying, whereas at higher compression bit-rates the ringing artifacts were the most annoying. The blocking artifact had the highest mean annoyance rank across all videos and compression bit-rates. Mean annoyance values were ordered differently from mean annoyance ranks due to very high annoyance values associated with some artifacts. Overall annoyance was related to the total squared error by a Logistic function. Individual artifact annoyance was related to overall annoyance by a weighted Minkowski metric.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chin Chye Koh, Sanjit K. Mitra, John M. Foley, and Ingrid E. J. Heynderickx "Annoyance of individual artifacts in MPEG-2 compressed video and their relation to overall annoyance", Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005); https://doi.org/10.1117/12.587423
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Cited by 15 scholarly publications.
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KEYWORDS
Video

Micro unmanned aerial vehicles

Video compression

Video processing

Quantization

Televisions

Analytical research

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