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Proceedings Paper

HDTV compression with vector quantization of transform coefficients
Author(s): Siu-Wai Wu; Allen Gersho
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Paper Abstract

We present a video coding scheme that uses vector quantization (VQ) in conjunction with die discrete cosine transform (DCT) for compression of high definition television (HDTV) signals. Motion compensated field prediction is applied with a group-of-fields structure where the first field in a group is compressed by intrafield coding and consecutive fields in the group are coded with motion compensation. Instead of using a channel buffer to regulate the transmission rate of the bit stream, we set a target bit rate for each field and dynamically allocate bits in the field to code it efficiently. The motion compensated field difference (MCFD) is coded by an algorithm similar to that used in intrafield coding. An MCFD field (or original video signal in the intrafield mode) is first partitioned into non-overlapping 8x8 image blocks. Each block is transformed into a block of DCT coefficients, which are then partitioned into a set of low dimensional vectors. Vector quantization is used to code the vectors of DCT coefficients. Furthermore, in the intrafield mode, a second stage of vector quantization in the spatial domain can be used to code the error image that results from die DCT coding in the first stage. Under the fixed bit rate constraint for a field, a greedy algorithm with a perceptual distortion criterion is applied to select the DCT vectors and residual vectors to be coded. Simulation results demonstrated that the algorithm can be used for compression of HDTV at 45 Mb/s with distribution quality.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50303
Show Author Affiliations
Siu-Wai Wu, Univ. of California/Santa Barbara (United States)
Allen Gersho, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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