article · 1990

Vector Quantization for Spatiotemporal

Pasquale Romano, F Pasquale Romano, Stephen A. Benton, Pasquale Romano

Cited by 0Abstract and details only

Abstract

This thesis investigates image coding using a combination of sub-band analysis/synthesis techniques and vector quantization. The design of a vector quantizer for image sub-bands is investigated, and the interplay between multi-rate filter banks and the vector coder is examined. The goal is twofold, first, a vector quantizer that is bounded by a distortion criterion versus an apriori fixed limit is essential to more optimally allocate bits in a sub-band coding system. This is due to the dynamic nature of the energy distribution in the sub-bands. Second, parameters for the vector quantizer that are psychophysically and statistically well matched to the characteristics of image sub-bands must be determined. Chrominance information is treated independantly due to reduced acuity in humans to chroma information. Ultimately a moving picture coding system is proposed which affords significant bit rate reductions while maintaining a high degree of flexibility with respect to the feature set required in an interactive multi-media environment. Wherever applicable, the tradeoffs between coding efficiency and flexibility are discussed. Issues involving source material and

Cite this paper

APA 7

Romano, P., Romano, F. P., Benton, S. A., & Romano, P. (1990). Vector Quantization for Spatiotemporal.

MLA 9

Romano, Pasquale, et al. “Vector Quantization for Spatiotemporal.” 1990.

Chicago

Romano, Pasquale, F Pasquale Romano, Stephen A. Benton, and Pasquale Romano. 1990. “Vector Quantization for Spatiotemporal.”

Harvard

Romano, P. et al. (1990) ‘Vector Quantization for Spatiotemporal’.

BibTeX

@article{romano1990vector,
  title = {{Vector Quantization for Spatiotemporal}},
  author = {Romano, Pasquale and Romano, F Pasquale and Benton, Stephen A. and Romano, Pasquale},
  year = {1990}
}

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