Title :
Optimization of spatial, temporal and amplitude resolution for rate-constrained video coding and scalable video adaptation
Author :
Hao Hu ; Zhan Ma ; Yao Wang
Author_Institution :
Dept. of ECE, Polytech. Inst. of NYU, Brooklyn, NY, USA
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
This paper considers how to choose the frame size, frame rate, and quantization stepsize to optimize the perceptual quality for a given rate constraint. The proposed solution leverages previously developed quality and rate models that explicitly consider the impact of spatial, temporal, and amplitude resolution (STAR) on the quality and rate. Using these models we further propose algorithms for ordering the STAR layers to form a rate-quality optimized stream, which can greatly facilitate scalable video adaptation.
Keywords :
image resolution; quantisation (signal); video coding; amplitude resolution; frame rate; frame size; perceptual quality optimisation; quantization stepsize; rate-constrained video coding; rate-quality optimized stream; scalable video adaptation; spatial resolution; temporal resolution; Adaptation models; Bit rate; Cities and towns; Optimized production technology; Spatial resolution; Static VAr compensators; Streaming media; Rate model; layer ordering; quality model; scalable video adaptation;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466960
