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Proceedings Paper

Visual model weighted DCT vector quantization for variable bit-rate video coding
Author(s): Fabio Lavagetto; Sandro Zappatore
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Paper Abstract

In this paper a code-bit allocation policy is presented for the vector quantization of video data, based on the Human Visual System (HVS) frequency response. Discret Cosine Transform is employed for data decorrelation and a frame adaptive vector quantization mechanism is subsequently applied for the DCT coefficients encoding. HVS response is taken into account for the code-bit allocation by sizing the reconstruction look-up table of each vector quantizer. Before vector quantization, DCT coefficients are zig-zag reordered and thresholded; the quantized coefficients are subsequently run-length encoded. The resulting coder presents the basic characteristics of being block-oriented, layered and variable bitrate (VBR): promising results in applications within packet switched networks are forseen. Preliminary results are presented.

Paper Details

Date Published: 1 September 1990
PDF: 6 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24128
Show Author Affiliations
Fabio Lavagetto, Univ. di Genova (Italy)
Sandro Zappatore, Univ. di Genova (Italy)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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