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Motion compensation using backward prediction and prediction refinement

✍ Scribed by Kenneth Andersson; Mats Andersson; Peter Johansson; Robert Forchheimer; Hans Knutsson


Book ID
104357629
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
662 KB
Volume
18
Category
Article
ISSN
0923-5965

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✦ Synopsis


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 blockbased motion estimation, when coding the residual with the same coder. The subjective performance is also better.


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One well-known deficiency of the block matching algorithm (BMA) is that it cannot handle nontranslational motion within a block. This paper proposes a nodal-displacement-based deformation model. It assumes that a selected number of control nodes in a block can move freely, and that the displacement