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Proceedings Paper

Interframe hierarchical address-vector quantization
Author(s): Nasser M. Nasrabadi
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Paper Abstract

A new interframe coding technique is presented in this paper called Interframe Hierarchical Address- Vector Quantization (IHA-VQ). It exploits the local characteristics of a moving image's motion compensated (via block matching) difference signals by using quadtree segmentation to divide each signal into large, uniform regions and smaller, highly detailed regions. The detailed regions are encoded by Vector Quantization (VQ), and the larger, low detail regions are replenished from the previous image. IHA-VQ also exploits the correlation between the small blocks by encoding the addresses of neighboring vectors using several codebooks of address-codevectors. The IHA-VQ technique is applied to a test sequence of images in a computer simulation. The sequence was encoded at an average bit rate of 0.607 bits per pixel (bpp). The Signal-to- Noise Ratio (SNR) averaged 39.5 dB. By changing the quadtree segmentation parameter a much lower bit rate, 0.237 bpp, is achieved for a lower SNR, 37.73 dB.

Paper Details

Date Published: 1 September 1990
PDF: 17 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24242
Show Author Affiliations
Nasser M. Nasrabadi, Worcester Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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