Title :
Removal of motion uncertainty and quantization noise in motion compensation
Author :
Tao, Bo ; Orchard, Michael T.
Author_Institution :
Streaming21 Inc., Los Gatos, CA, USA
fDate :
1/1/2001 12:00:00 AM
Abstract :
In a standard hybrid video coder, there are two important factors affecting motion-compensated prediction: motion uncertainty and quantization noise, motion uncertainty results from the use of block-decimated motion compensation, which cannot specify the motion for each pixel. The propagation of quantization noise results from interframe prediction. We analyze both these effects, and their block-structured nonstationary properties. We propose a block-adaptive linear filtering framework to reduce motion uncertainty and quantization noise propagation simultaneously. This new motion-compensated predictor can be viewed as joint application of overlapped block motion compensation and loop filtering (LF). Several system configurations are evaluated. We show that this linear filtering framework achieves better rate-distortion performance than the single use of either overlapped block motion compensation or LF
Keywords :
adaptive filters; adaptive signal processing; data compression; filtering theory; motion compensation; noise; quantisation (signal); rate distortion theory; video coding; block-adaptive linear filtering; block-decimated motion compensation; block-structured nonstationary properties; interframe prediction; loop filtering; motion compensation; motion uncertainty reduction; motion-compensated prediction; overlapped block motion compensation; pixel; quantization noise propagation; quantization noise reduction; rate-distortion performance; standard hybrid video coder; system configurations; Code standards; Filtering; Low-frequency noise; Maximum likelihood detection; Motion compensation; Noise reduction; Nonlinear filters; Quantization; Rate-distortion; Uncertainty;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on