The Community for Technology Leaders
1993 Data Compression Conference (1993)
Snowbird, UT, USA
March 30, 1993 to April 2, 1993
ISBN: 0-8186-3392-1
TABLE OF CONTENTS

A MPEG encoder implementation on the Princeton Engine video supercomputer (PDF)

H.H. Taylor , David Sarnoff Res. Center, Princeton, NJ, USA
D. Chin , David Sarnoff Res. Center, Princeton, NJ, USA
A.W. Jessup , David Sarnoff Res. Center, Princeton, NJ, USA
pp. 420-429

A low-power analog CMOS vector quantizer (PDF)

G.T. Tuttle , Integrated Circuits & Syst. Lab., California Univ., Los Angeles, CA, USA
S. Fallahi , Integrated Circuits & Syst. Lab., California Univ., Los Angeles, CA, USA
A.A. Abidi , Integrated Circuits & Syst. Lab., California Univ., Los Angeles, CA, USA
pp. 410-419

Real-time focal-plane image compression (PDF)

R. Tawel , Center for Space Microelectron. Technol., California Inst. of Technol., Pasadena, CA, USA
pp. 401-409

Multispectral image compression algorithms (PDF)

T. Markas , Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
pp. 391-400

Algorithms for fast vector quantization (PDF)

S. Arya , Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
pp. 381-390

Low bit rate coding of Earth science images (PDF)

F. Kossentini , Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
W.C. Chung , Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
M.J.T. Smith , Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
pp. 371-380

Robust, variable bit-rate coding using entropy-biased codebooks (PDF)

J.E. Fowler , Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
S.C. Ahalt , Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
pp. 361-370

Fast and efficient lossless image compression (PDF)

P.G. Howard , Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
pp. 351-360

Compression of DNA sequences (PDF)

S. Grumbach , INRIA, Le Chesnay, France
F. Tahi , INRIA, Le Chesnay, France
pp. 340-350

Sort order preserving data compression for extended alphabets (PDF)

A. Zandi , IBM Almaden Res. Center, San Jose, CA, USA
pp. 330-339

Tree compacting transformations (PDF)

G. Promhouse , Western Ontario Univ., London, Ont., Canada
pp. 320-329

Application of AVL trees to adaptive compression of numerical data (PDF)

H. Yokoo , Dept. of Comput Sci., Gunma Univ., Kiryu, Japan
pp. 310-319

Design and performance of tree-structured vector quantizers (PDF)

J. Lin , Dept. of Comput. Sci., Eastern Connecticut State Univ., Willimantic, CT, USA
pp. 292-301

Adaptive channel optimization of vector quantized data (PDF)

A.C. Hung , Inf. Syst. Lab., Stanford Univ., CA, USA
H.-Y. Meng , Inf. Syst. Lab., Stanford Univ., CA, USA
pp. 282-291

Classified variable rate residual vector quantization applied to image subband coding (PDF)

C.F. Barnes , Georgia Inst. of Technol., Atlanta, GA, USA
E.J. Holder , Georgia Inst. of Technol., Atlanta, GA, USA
pp. 272-281

Segmentation-based progressive image coding (PDF)

X. Wu , Dept. of Comput. Sci., Western Ontario Univ., Ont., Canada
pp. 262-271

Generalized fractal transforms: complexity issues (PDF)

D.M. Monro , Sch. of Electron. & Electr. Eng., Bath Univ., UK
pp. 254-261

Fractal based image compression with affine transformations (PDF)

H. Raittinen , Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
K. Kaski , Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
pp. 244-253

Efficient compression of wavelet coefficients for smooth and fractal-like data (PDF)

K. Culik , Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
S. Dube , Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
P. Rajcani , Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
pp. 234-243

Wavelet transform-vector quantization compression of supercomputer ocean models (PDF)

J.N. Bradley , Los Alamos Nat. Lab., NM, USA
C.M. Brislawn , Los Alamos Nat. Lab., NM, USA
pp. 224-233

An embedded hierarchical image coder using zerotrees of wavelet coefficients (PDF)

J.M. Shapiro , David Sarnoff Res. Center, SRI Int., Princeton, NJ, USA
pp. 214-223

A high performance adaptive image compression system using a generative neural network: DynAmic Neural Network II (DANN II) (PDF)

A. Rios , Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
M.R. Kabuka , Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
pp. 204-213

Full-frame compression of tomographic images using the discrete Fourier transform (PDF)

J.D. Villasenor , Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
pp. 195-203

Optimum DCT quantization (PDF)

D.M. Monro , Sch. of Electron. & Electr. Eng., Bath Univ., UK
pp. 188-194

Visually optimal DCT quantization matrices for individual images (PDF)

A.B. Watson , NASA Ames Res. Center, Moffett Field, CA, USA
pp. 178-187

Optimal piecewise-linear compression of images (PDF)

V. Bhaskaran , Hewlett-Packard Lab., Palo Alto, CA, USA
B.K. Natarajan , Hewlett-Packard Lab., Palo Alto, CA, USA
K. Konstantinides , Hewlett-Packard Lab., Palo Alto, CA, USA
pp. 168-177

Coding theory and regularization (PDF)

J.T. Connor , Bellcore, Morristown, NJ, USA
pp. 158-167

On approximate string matching (PDF)

I. Sadeh , Dept. of Comput. Sci., Tel Aviv Univ., Israel
pp. 148-157

Ziv-Lempel encoding with multi-bit flags (PDF)

P.M. Fenwick , Dept. of Comput. Sci., Auckland Univ., New Zealand
pp. 138-147

Multialphabet arithmetic coding at 16 MBytes/sec (PDF)

H. Printz , Digital Equipment Corp., Paris Res. Lab., Rueil-Malmaison, France
pp. 128-137

Minimizing error and VLSI complexity in the multiplication free approximation of arithmetic coding (PDF)

G. Feygin , Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
P.G. Gulak , Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
P. Chow , Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
pp. 118-127

An empirical evaluation of coding methods for multi-symbol alphabets (PDF)

A. Moffat , Dept. Comput. Sci., Melbourne Univ., Vic., Australia
pp. 108-117

Design and analysis of fast text compression based on quasi-arithmetic coding (PDF)

P.G. Howard , Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
pp. 98-107

Universality and rates of convergence in lossy source coding (PDF)

T. Linder , Fac. of Electr. Eng., Tech. Univ. of Budapest, Hungary
G. Lugosi , Fac. of Electr. Eng., Tech. Univ. of Budapest, Hungary
pp. 89-97

Divergence and the construction of variable-to-variable-length lossless codes by source-word extensions (PDF)

G.H. Freeman , Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, Ont., Canada
pp. 79-88

Filtering random noise via data compression (PDF)

B.K. Natarajan , Hewlett-Packard Labs., Palo Alto, CA, USA
pp. 60-69

Codes with monotonic codeword lengths (PDF)

J. Abrahams , Math. Sci. Div., Office of Naval Res., Arlington, VA, USA
pp. 52-59

Joint codebook design for summation product-code vector quantizers (PDF)

W.-Y. Chan , Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
pp. 42-51

On-line adaptive vector quantization with variable size codebook entries (PDF)

C. Constantinescu , Dept. of Comput. Sci., Brandeis Univ., Waltham, MA, USA
J.A. Storer , Dept. of Comput. Sci., Brandeis Univ., Waltham, MA, USA
pp. 32-41

Globally optimal bit allocation (PDF)

X. Wu , Dept. of Comput. Sci., Western Ontario Univ., London, Ont., Canada
pp. 22-31

An improved sequential search multistage vector quantizer (PDF)

D. Miller , Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
K. Rose , Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
pp. 12-21

Combining image classification and image compression using vector quantization (PDF)

K.L. Oehler , Dept. of Electr. Eng., Stanford Univ., CA, USA
R.M. Gray , Dept. of Electr. Eng., Stanford Univ., CA, USA
pp. 2-11
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