Share Email Print
cover

Proceedings Paper

Optimization of transform coefficient selection and motion vector estimation considering interpicture dependencies in hybrid video coding
Author(s): Brad Schumitsch; Heiko Schwarz; Thomas Wiegand
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Considering inter-picture dependencies when selecting transform coefficient levels in hybrid video coding can be done via formulating the decoding process as a linear signal model and solving a quadratic program. The basic method assumes motion estimation and quantization parameters as being given and then selects the transform coefficient levels. However, when motion vectors are determined in advance, motion estimation must be conducted using uncoded reference pictures which is known to deliver inferior results compared to motion estimation on decoded reference pictures. In this work, we expand the basic method to incorporate the case where the motion estimation is considering decoded reference pictures. We propose an approach that iterates between transform coefficient selection and motion estimation. We find that a simple two-pass iteration works reasonably well. Our simulation results using an H.264/AVC-conforming encoder show coding gains up to 1 dB in comparison to the quantization method specified in the test model of H.264/AVC.

Paper Details

Date Published: 14 March 2005
PDF: 8 pages
Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); doi: 10.1117/12.591950
Show Author Affiliations
Brad Schumitsch, Stanford Univ. (United States)
Heiko Schwarz, Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut (Germany)
Thomas Wiegand, Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut (Germany)


Published in SPIE Proceedings Vol. 5685:
Image and Video Communications and Processing 2005
Amir Said; John G. Apostolopoulos, Editor(s)

© SPIE. Terms of Use
Back to Top