Paper
19 January 2009 Motion vector quantization for efficient low-bit-rate video coding
M. Cagnazzo, M. A. Agostini, M. Antonini, G. Laroche, J. Jung
Author Affiliations +
Proceedings Volume 7257, Visual Communications and Image Processing 2009; 725702 (2009) https://doi.org/10.1117/12.805857
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Cagnazzo, M. A. Agostini, M. Antonini, G. Laroche, and J. Jung "Motion vector quantization for efficient low-bit-rate video coding", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725702 (19 January 2009); https://doi.org/10.1117/12.805857
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Quantization

Computer programming

Video coding

Distortion

Motion estimation

Video

Video compression

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