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

fYear

2012

fDate

Sept. 30 2012-Oct. 3 2012

Firstpage

717

Lastpage

720

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2012 19th IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1522-4880

Print_ISBN

978-1-4673-2534-9

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2012.6466960

Filename

6466960