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Proceedings Paper

Effects of dynamic quantization noise on video quality
Author(s): Thom Carney; Yuan-Chi Chang; Stanley A. Klein; David G. Messerschmitt
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Paper Abstract

Packet transmissions over the Internet incur delay jitter that requires data buffering for resynchronization, which is unfavorable for interactive applications. Last year we reported result of formal subjective quality evaluation experiments on delay cognizant video coding (DCVC), which introduces temporal jitter into the video stream. Measures such as MSE and MPQM indicate the introduction of jitter should degrade video quality. However, most observers actually preferred compressed video sequences with delay to sequences without. One reason for this puzzling observation is that the delay introduced by DCVC suppresses the dynamic noise artifacts introduced by compression, thereby improving quality. This observation demonstrates the possibility of reducing bit rate and improving perceived quality at the same time. We have been characterizing conditions in which dynamic quantization noise suppression might improve video quality. A new battery of video test sequences using simple stimuli were developed to avoid the complexity of natural scenes. These sequences are cases where quantization noise produces bothersome temporal flickering artifacts. We found the significance of artifacts depend strongly on the local image content. Pseudo code is provided for generating these test stimuli in the hope that they lead to the development of future video compression algorithms which take advantage of this technique of improving quality by dampening temporal artifacts.

Paper Details

Date Published: 19 May 1999
PDF: 11 pages
Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); doi: 10.1117/12.348435
Show Author Affiliations
Thom Carney, Neurometrics Institute and Univ. of California/Berkeley (United States)
Yuan-Chi Chang, Univ. of California/Berkeley (United States)
Stanley A. Klein, Neurometrics Institute and Univ. of California/Berkeley (United States)
David G. Messerschmitt, Univ. of California/Berkeley (United States)

Published in SPIE Proceedings Vol. 3644:
Human Vision and Electronic Imaging IV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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