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Proceedings Paper

Motion vector quantization for efficient low-bit-rate video coding
Author(s): M. Cagnazzo; M. A. Agostini; M. Antonini; G. Laroche; J. Jung
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Paper Abstract

The most recent video coding standard H.264 achieves excellent compression performances at many different bit-rates. However, it has been noted that, at very high compression ratios, a large part of the available coding resources is only used to code motion vectors. This can lead to a suboptimal coding performance. This paper introduces a new coding mode for a H.264-based video coder, using quantized motion vector (QMV) to improve the management of the resource allocation between motion information and transform coeffcients. Several problems have to be faced with in order to get an efficient implementation of QMV techniques, yet encouraging results are reported in preliminary tests, allowing to improve the performances of H.264 at low bit-rates over several sequences.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725702 (19 January 2009); doi: 10.1117/12.805857
Show Author Affiliations
M. Cagnazzo, TELECOM ParisTech (France)
M. A. Agostini, Lab. I3S, CNRS, Univ. de Nice Sophia Antipolis (France)
M. Antonini, Lab. I3S, CNRS, Univ. de Nice Sophia Antipolis (France)
G. Laroche, France Télécom R&D (France)
J. Jung, France Télécom R&D (France)


Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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