Paper
28 December 1998 Very low bit-rate vector-quantized video codecs
Lee David Scargall, Satnam Singh Dlay
Author Affiliations +
Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334698
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
In this paper, an image sequence coding scheme for very low bit-rate video coding is presented. We examine the performance of various codebooks to remove the spatial redundancy within the difference frame. When the codec is configured to operate at 10.1 kbit/s, average PSNR values in excess of 32.86dB and 25.6dB are achieved for the 'Miss America' and 'Carphone' sequences respectively. We also present a new methodology for adaptive vector quantization (AVQ), where the codebook is updated with new vectors. The new vectors replace less significant ones in the codebook based on a novel scoring criterion that utilizes a forgetting factor and codebook half- life. The proposed method gives rise to an additional performance enhancement of around 1 dB over conventional techniques of AVQ. Furthermore, the methods do not suffer from blocking effects due to the inherent properties of both the temporal and spatial coding.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lee David Scargall and Satnam Singh Dlay "Very low bit-rate vector-quantized video codecs", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334698
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KEYWORDS
Video

Image compression

Quantization

Computer programming

Video coding

Head

Image processing

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