Compression of a Set of Correlated Bitmaps.

Abraham Bookstein, Shmuel T. Klein: Compression of a Set of Correlated Bitmaps. SIGIR 1991: 63-71

@inproceedings{DBLP:conf/sigir/BooksteinK91,
  author    = {Abraham Bookstein and
               Shmuel T. Klein},
  editor    = {Abraham Bookstein and
               Yves Chiaramella and
               Gerard Salton and
               Vijay V. Raghavan},
  title     = {Compression of a Set of Correlated Bitmaps},
  booktitle = {Proceedings of the 14th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval. Chicago,
               Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR
               Forum)},
  publisher = {ACM},
  year      = {1991},
  isbn      = {0-89791-448-1},
  pages     = {63-71},
  ee        = {db/conf/sigir/BooksteinK91.html},
  crossref  = {DBLP:conf/sigir/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

In large IR systems, information about word occurrence may be stored as a bit matrix, with rows corresponding to different words and columns to documents. Such a matrix is generally very large and very sparse. New methods for compressing such matrices are presented, which exploit possible correlations between rows and between columns. The methods are based on partitioning the matrix into small blocks and predicting the l-bit distribution within a block by means of various bit generation models. Each block is then encoded using Huffman or arithmetic coding. Preliminary experimental results indicate improvements over previous methods.

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Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan (Eds.): Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum). ACM 1991, ISBN 0-89791-448-1
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