Paper
4 January 2002 Rate control for improved picture quality in low-bit-rate video coding
Filippo Speranza, Andre Vincent, Demin Wang, Andre Mainguy, Phil Blanchfield, Ronald Renaud
Author Affiliations +
Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453115
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
In low bit rate coding applications, high quantization levels might be needed to achieve a target bit rate. However, such high levels of quantization are likely to decrease picture quality. A possible solution is to reduce temporal resolution by dropping, for instance, selected frames thereby lessening the requirement for high quantization levels and thus improving video quality. Similarly, the spatial resolution of the encoded video could also be manipulated to achieve the target bit rate. Therefore, it might be possible to maximize picture quality by adjusting dynamically these three parameters while still meeting bit rate constraints. To do so effectively, the relationship between these parameters, alone or in combination, and subjective picture quality must be known. In this paper, we investigated the effect on subjective quality of: quantization alone (Experiment 1); a reduction in spatial resolution either alone or combined to moderate levels of quantization (Experiment 2); and a reduction of temporal resolution either alone or combined with moderate levels of quantization (Experiment 3). The results suggest that at very low bit rates reductions in spatial or temporal resolution combined with moderate levels of quantization might be an effective means of reducing bit rate without further loss in video quality.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Filippo Speranza, Andre Vincent, Demin Wang, Andre Mainguy, Phil Blanchfield, and Ronald Renaud "Rate control for improved picture quality in low-bit-rate video coding", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453115
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Cited by 5 scholarly publications.
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KEYWORDS
Quantization

Spatial resolution

Video

Temporal resolution

Solids

Video coding

Video processing

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