Paper
19 May 1999 Effects of dynamic quantization noise on video quality
Thom Carney, Yuan-Chi Chang, Stanley A. Klein, David G. Messerschmitt
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348435
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thom Carney, Yuan-Chi Chang, Stanley A. Klein, and David G. Messerschmitt "Effects of dynamic quantization noise on video quality", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348435
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KEYWORDS
Video

Video compression

Quantization

Video coding

Image compression

Algorithm development

Visualization

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