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Proceedings Paper

Vector quantization (VQ)-based motion field refinement technique for image sequence coding
Author(s): Iole Moccagatta; Markus Schuetz; Fabrice Moscheni; Frederic Dufaux
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Paper Abstract

To reduce temporal redundancies appearing in video sequences block based motion estimation techniques have been successfully applied. However, due to the block-based model blocking artifacts appear in the resulting displaced frame difference reducing the global coding scheme efficiency. In this paper, a motion field refinement technique is proposed to overcome these artifacts. The method is based on segmentation and vector quantization (VQ). The motion field resulting from the block-based motion estimation is segmented using a set of patterns stored in a codebook. These patterns are derived by the LBG algorithm trained on natural edges. The VQ technique allows a low cost data transmission of the segmentation information. Finally, the segmentation is controlled by an entropy criterion, which performs an optimal bit allocation between motion, segmentation, and DFD information. Simulation results show that a significant improvement is achieved using the proposed method. In particular moving edges are much better motion compensated and the visual quality is greatly enhanced.

Paper Details

Date Published: 17 February 1995
PDF: 12 pages
Proc. SPIE 2451, Advanced Image and Video Communications and Storage Technologies, (17 February 1995); doi: 10.1117/12.201193
Show Author Affiliations
Iole Moccagatta, Swiss Federal Institute of Technology (Switzerland)
Markus Schuetz, Swiss Federal Institute of Technology (Switzerland)
Fabrice Moscheni, Swiss Federal Institute of Technology (Switzerland)
Frederic Dufaux, Swiss Federal Institute of Technology (Switzerland)


Published in SPIE Proceedings Vol. 2451:
Advanced Image and Video Communications and Storage Technologies
Naohisa Ohta; Heinz U. Lemke; Jean Claude Lehureau, Editor(s)

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