3. DCC 1993: Snowbird, Utah

Session 1

• Karen L. Oehler, Robert M. Gray:
  Combining Image Classification and Image Compression Using Vector Quantization. 2-11
  
• David J. Miller, Kenneth Rose:
  An Improved Sequential Search Multistage Vector Quantizer. 12-21
  
• X. Wu:
  Globally Optimal Bit Allocation. 22-31
  
• Corneliu Constantinescu, James A. Storer:
  On-Line Adaptive Vector Quantization with Variable Size Codebook Entries. 32-41
  
• Wai-Yip Chan, Allen Gersho, S. Soong:
  Joint Codebook Design for Summation Product-Code Vector Quantizers. 42-51
  

Session 2

• J. Abrahams:
  Codes with Monotonic Codeword Lengths. 52-59
  
• B. K. Natarajan:
  Filtering Random Noise via Data Compression. 60-69
  
• Abraham Bookstein, Shmuel T. Klein, Timo Raita, I. K. Ravichandra Rao, M. D. Patil:
  Can Random Fluctuation Be Exploited in Data Compression. 70-78
  
• G. H. Freeman:
  Divergence and the Construction of Variable-to-Variable-Length Lossless Codes by Source-Word Extensions. 79-88
  
• Tamás Linder, Gábor Lugosi, Kenneth Zeger:
  Universality and Rates of Convergence in Lossy Source Coding. 89-97
  

Session 3

• Paul G. Howard, Jeffrey Scott Vitter:
  Design and Analysis of Fast Text Compression Based on Quasi-Arithmetic Coding. 98-107
  
• Alistair Moffat, Neil Sharman, Ian H. Witten, Timothy C. Bell:
  An Empirical Evaluation of Coding Techniques for Multi-Symbol Alphabets. 108-117
  
• Gennady Feygin, P. Glenn Gulak, Paul Chow:
  Minimizing Error and VLSI Complexity in the Multiplication-Free Approximation of Arithmetic Coding. 118-127
  
• H. Printz, P. R. Stubley:
  Multialphabet Arithmetic Coding at 16 MBytes/sec. 128-137
  

Session 4

• Peter M. Fenwick:
  Ziv-Lempel Encoding with Multi-Bit Flags. 138-147
  
• I. Sadeh:
  On Approximate String Matching. 148-157
  
• Jerome Connor, Les E. Atlas:
  Coding Theory and Regularization. 158-167
  

Session 5

• Vasudev Bhaskaran, Balas K. Natarajan, Konstantinos Konstantinides:
  Optimal Piecewise-Linear Compression of Images. 168-177
  
• Andrew B. Watson:
  Visually Optimal DCT Quantization Matrices for Individual Images. 178-187
  
• Donald M. Monro, Barry G. Sherlock:
  Optimum DCT Quantization. 188-194
  
• John D. Villasenor:
  Full-Frame Compression of Tomographic Images Using the Discrete Fourier Transform. 195-203
  
• A. Rios, Mansur R. Kabuka:
  A High Performance Adaptive Image Compression System Using a Generative Neural Network: Dynamic Neural Network II (DANN II). 204-213
  

Session 6

• J. M. Shapiro:
  An Embedded Hierarchical Image Coder using Zerotrees of Wavelet Coefficients. 214-223
  
• Jonathan N. Bradley, Christopher M. Brislawn:
  Wavelet Transform-Vector Quantization Compression of Supercomputer Ocean Models. 224-233
  
• Karel Culik II, Simant Dube, Peter Rajcáni:
  Efficient Compression of Wavelet Coefficients for Smooth and Fractal-like Data. 234-243
  
• Harri Raittinen, Kimmo Kaski:
  Fractal Based Image Compression with Affine Transformations. 244-253
  
• Donald M. Monro:
  Generalized Fractal Transforms: Complexity Issues. 254-261
  

Session 7

• X. Wu, Y. Fang:
  Segmentation-Based Progressive Image Coding. 262-271
  
• Christopher F. Barnes, E. J. Holder:
  Classified Variable Rate Residual Vector Quantization Applied to Image Subband Coding. 272-281
  
• Andy C. Hung, Teresa H. Y. Meng:
  Adaptive Channel Optimization of Vector Quantized Data. 282-291
  
• Jianhua Lin, James A. Storer:
  Design and Performance of Tree-Structured Vector Quantizers. 292-301
  
• Barry D. Andrews, Philip A. Chou, Michelle Effros, Robert M. Gray:
  A Mean-Removed Variation of Weighted Universal Vector Quantization for Image Coding. 302-309
  

Session 8

• Hidetoshi Yokoo:
  Application of AVL Trees to the Adaptive Compression of Numerical Data. 310-319
  
• Gary Promhouse:
  Tree Compacting Transformations. 320-329
  
• A. Zandi, Balakrishna R. Iyer, Glen G. Langdon Jr.:
  Sort Order Preserving Data Compression for Extended Alphabets. 330-339
  
• Stéphane Grumbach, Fariza Tahi:
  Compression of DNA Sequences. 340-350
  
• Paul G. Howard, Jeffrey Scott Vitter:
  Fast and Efficient Lossless Image Compression. 351-360
  

Session 9

• James E. Fowler, Stanley C. Ahalt:
  Robust, Variable Bit-rate Coding Using Entropy-Based Codebooks. 361-370
  
• Faouzi Kossentini, Wilson C. Chung, Mark J. T. Smith:
  Low Bit Rate Coding of Earth Science Images. 371-380
  
• Sunil Arya, David M. Mount:
  Algorithms for Fast Vector Quantizaton. 381-390
  
• Tassos Markas, John H. Reif:
  Multispectral Image Compression Algorithms. 391-400
  

Session 10

• R. Tawel:
  Real-Time Focal-Plane Image Compression. 401-409
  
• G. T. Tuttle, S. Fallahi, A. A. Abidi:
  A Low Power Analog CMOS Vector Quantizer. 410-419
  
• H. H. Taylor, D. Chin, A. W. Jessup:
  An MPEG Encoder Implementation on the Princeton Engine Video Supercomputer. 420-429
  

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