Paper
15 February 2011 Subjective evaluation of HDTV stereoscopic videos in IPTV scenarios using absolute category rating
Author Affiliations +
Proceedings Volume 7863, Stereoscopic Displays and Applications XXII; 78631T (2011) https://doi.org/10.1117/12.872462
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Broadcasting of high definition (HD) stereobased 3D (S3D) TV are planned, or has already begun, in Europe, the US, and Japan. Specific data processing operations such as compression and temporal and spatial resampling are commonly used tools for saving network bandwidth when IPTV is the distribution form, as this results in more efficient recording and transmission of 3DTV signals, however at the same time it inevitably brings quality degradations to the processed video. This paper investigated observers quality judgments of state of the art video coding schemes (simulcast H.264/AVC or H.264/MVC), with or without added temporal and spatial resolution reduction of S3D videos, by subjective experiments using the Absolute Category Rating method (ACR) method. The results showed that a certain spatial resolution reduction working together with high quality video compressing was the most bandwidth efficient way of processing video data when the required video quality is to be judged as "good" quality. As the subjective experiment was performed in two different laboratories in two different countries in parallel, a detailed analysis of the interlab differences was performed.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Wang, M. Barkowsky, R. Cousseau, K. Brunnström, R. Olsson, P. Le Callet, and M. Sjöström "Subjective evaluation of HDTV stereoscopic videos in IPTV scenarios using absolute category rating", Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78631T (15 February 2011); https://doi.org/10.1117/12.872462
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Video

Molybdenum

Video processing

Video coding

Video compression

Computer programming

Visualization

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