Optimization of transform coefficient selection and motion vector estimation considering interpicture dependencies in hybrid video coding

Brad Schumitsch; Heiko Schwarz; Thomas Wiegand

doi:10.1117/12.591950

14 March 2005 Optimization of transform coefficient selection and motion vector estimation considering interpicture dependencies in hybrid video coding

Brad Schumitsch, Heiko Schwarz, Thomas Wiegand

Author Affiliations +

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.591950
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Brad Schumitsch, Heiko Schwarz, and Thomas Wiegand "Optimization of transform coefficient selection and motion vector estimation considering interpicture dependencies in hybrid video coding", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.591950

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