Backward Drift Estimation with Application to Quality Layer Assignment in H.264/AVC Based Scalable Video Coding

Abstract

We present an approach for accurate estimation of the reconstruction distortion in SNR scalable video coding with drift. Based on a linear model of predictive video coding, we derive an algorithm to quantify spatio-temporal drift properties subject to prediction structure and motion information. This allows for low-complex estimation of the reconstruction distortion on a per-block basis. The accuracy of the distortion estimation is experimentally verified. We then utilize the method for quality layer assignment within the framework of H.264/AVC scalable video coding "SVC", which is currently under standardization. The quality layers allow for bit stream truncation in a rate-distortion optimized sense. Compared to the quality layer assignment as implemented in the SVC test model, use of backward drift estimation allows for achieving equivalent coding efficiency with reduced complexity.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA489196

Entities

People

  • Jens-rainer Ohm
  • Thomas Rusert

Organizations

  • RWTH Aachen University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Coders
  • Coding
  • Computational Complexity
  • Cross Correlation
  • Decoding
  • Distortion
  • Efficiency
  • Engineering
  • Errors
  • Index Terms
  • Indexes
  • Sequences
  • Signal Processing
  • Truncation

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Programming and Software Development.
  • Radio communications and signal processing.