Compression Coding for IAP Data

  • David Zhang
  • Xiaobo Li
  • Zhiyong Liu
Part of the The International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 11)


This chapter deals with an important issue in IAP data management for Internet PRIP computations: compression coding. Because of the large data volume and the need for fast transmission (sometimes almost real-time), compression coding is critical. The introduction section gives an overview on the motivation (“why”) and the general approaches (“how”) to IAP data compression. As an example for the spatial-domain methods, Section 13.2 presents two improvements to the reconstruction phase of a quadtree compression algorithm. Section 13.3 discusses a vector quantization scheme that works for a transform-domain compression algorithm. The data structures used in those compression algorithms, a quadtree and a wavelet coefficient tree, are closely related to an encryption coding method discussed in Chapter 16.


Discrete Cosine Transform Wavelet Coefficient Vector Quantization Arithmetic Code Compression Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • David Zhang
    • 1
  • Xiaobo Li
    • 2
  • Zhiyong Liu
    • 3
  1. 1.Hong Kong Polytechnic UniversityHong Kong
  2. 2.University of AlbertaCanada
  3. 3.National Natural Science Foundation of ChinaChina

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