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Proceedings Paper

Subband coding of video using energy-adaptive arithmetic coding and statistical feedback-free rate control
Author(s): Ashok Chhabedia Popat; Andre Nicoulin; Andrea Basso; Wei Li; Murat Kunt
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Paper Abstract

An improved video subband coding technique is presented. It is based on a spatially and spectrally localizing subband analysis, followed by scalar quantization and direct arithmetic coding. The quantization and coding parameters are adapted on the basis of local energy of the subband pixels. The proposed technique automatically achieves near-optimal rate allocation with respect to mean-square error (or alternatively, weighted mean-square error). In addition, because arithmetic coding requires no alphabet extension, the quantized subband pixels can be encoded in an arbitrary order without affecting bit rate. This makes it possible to obtain a good statistical estimate of the quantization resolution required to achieve a certain overall bit rate, based on a relatively small random sample of the subband pixels and their corresponding energies. The proposed technique requires that estimates of the local energy of the subband pixels be encoded and sent to the receiver as side-information. A means of accomplishing this, using vector quantization (VQ), is mentioned.

Paper Details

Date Published: 1 November 1991
PDF: 14 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50282
Show Author Affiliations
Ashok Chhabedia Popat, Swiss Federal Institute of Technology (Switzerland)
Andre Nicoulin, Swiss Federal Institute of Technology (Switzerland)
Andrea Basso, Swiss Federal Institute of Technology (Switzerland)
Wei Li, Swiss Federal Institute of Technology (Switzerland)
Murat Kunt, Swiss Federal Institute of Technology (Switzerland)


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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