Visual model weighted DCT vector quantization for variable bit-rate video coding

Fabio Lavagetto; Sandro Zappatore

doi:10.1117/12.24128

1 September 1990 Visual model weighted DCT vector quantization for variable bit-rate video coding

Fabio Lavagetto, Sandro Zappatore

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24128
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

Citation Download Citation

Fabio Lavagetto and Sandro Zappatore "Visual model weighted DCT vector quantization for variable bit-rate video coding", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24128

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