Optimization of spatial, temporal and amplitude resolution for rate-constrained video coding and scalable video adaptation

Hao Hu, Zhan Ma, Yao Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages717-720
Number of pages4
DOIs
StatePublished - 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: Sep 30 2012Oct 3 2012

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period9/30/1210/3/12

Keywords

  • Rate model
  • layer ordering
  • quality model
  • scalable video adaptation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Hu, H., Ma, Z., & Wang, Y. (2012). Optimization of spatial, temporal and amplitude resolution for rate-constrained video coding and scalable video adaptation. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 717-720). [6466960] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6466960