1 September 1990 Visual model weighted DCT vector quantization for variable bit-rate video coding
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabio Lavagetto, Fabio Lavagetto, Sandro Zappatore, 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); doi: 10.1117/12.24128; https://doi.org/10.1117/12.24128
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