Motion compensation using backward prediction and prediction refinement

This paper presents new methods for use of dense motion fields for motion compensation of interlaced video. The motion estimation is based on previously decoded field-images. The motion is then temporally predicted and used for motion compensated prediction of the field-image to be coded. The motion...

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Bibliographic Details
Published in:Signal processing. Image communication 2003-05, Vol.18 (5), p.381-400
Main Authors: Andersson, Kenneth, Andersson, Mats, Johansson, Peter, Forchheimer, Robert, Knutsson, Hans
Format: Article
Language:English
Subjects:
Applied sciences
Backward–forward motion compensation
Continuous normalized convolution
Exact sciences and technology
Information, signal and communications theory
Irregular sampling
MEDICIN
MEDICINE
Miscellaneous
Phase-based motion estimation
Signal processing
Telecommunications and information theory
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Summary:This paper presents new methods for use of dense motion fields for motion compensation of interlaced video. The motion estimation is based on previously decoded field-images. The motion is then temporally predicted and used for motion compensated prediction of the field-image to be coded. The motion estimation algorithm is phase-based and uses two or three field-images to achieve motion estimates with sub-pixel accuracy. To handle non-constant motion and the specific characteristics of the field-image to be coded, the initially predicted image is refined using forward motion compensation, based on block-matching. Tests show that this approach achieves higher PSNR than forward block-based motion estimation, when coding the residual with the same coder. The subjective performance is also better.
ISSN:0923-5965
1879-2677
DOI:10.1016/S0923-5965(03)00012-2