Drift-resistant SNR scalable video coding

Athanasios Leontaris; Pamela C Cosman

doi:10.1109/tip.2006.877412

Drift-resistant SNR scalable video coding

IEEE Trans Image Process. 2006 Aug;15(8):2191-7. doi: 10.1109/tip.2006.877412.

Authors

Athanasios Leontaris¹, Pamela C Cosman

Affiliation

¹ Information Coding Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093-0407, USA. aleontar@code.ucsd.edu

PMID: 16900675
DOI: 10.1109/tip.2006.877412

Abstract

We address the problem of enhancement layer drift estimation for fine granular scalable video. An optimal per-pixel drift estimation algorithm is introduced. The encoder assumes that there is some truncation of the enhancement layer, which does not allow the enhancement layer reference to be properly reconstructed, and the encoder recursively estimates the associated drift and chooses coding modes accordingly. The approach yields performance gains of about 1 dB across low to medium rates. In addition, we investigate dual frame prediction, for both base and enhancement layer, with pulsed-quality allocation in the base

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms*
Artifacts*
Computer Simulation
Data Compression / methods*
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Models, Statistical
Signal Processing, Computer-Assisted*
Video Recording / methods*