AQT-DVC: adaptive quantization for transform-domain distributed video coding

  • Authors:

  • Wei-Jung Chien;Lina J. Karam

  • Affiliations:

  • Department of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ;Department of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a rate-distortion based Adaptive QuanTization (AQT) scheme for transform-domain distributed video coding (DVC). In the proposed DVC system, the Wyner-Ziv frame is divided into partitions and is adaptively quantized in the transform domain based on estimated local rate-distortion (R-D) characteristics. The RD characteristics are estimated at the decoder using a correlation model between the original source information and the side information. Rate-distortion performance results and comparisons with existing DVC schemes and with H.264 are presented.