Abstract
Bitmaps are useful for information retrieval [2] as as well as other computer applications, but can be expensive to store. In many situations, the bitmaps are very sparse, that is, the number of 1-bits is substantially smaller than the number of zeros, so that compression techniques can be very helpful. But, more than is the case with text compression, bitmap compression tends to be based on ad hoc ideas rather than on proveably optimal algorithms motivated by models of bit generation (see however [5]). For an overview of several bit-vector compression techniques the reader is referred to [3].
Original language | English |
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Title of host publication | Data Compression Conference 1991 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 402-410 |
Number of pages | 9 |
ISBN (Electronic) | 0818692022 |
DOIs | |
State | Published - 1991 |
Externally published | Yes |
Event | 1991 Data Compression Conference, DCC 1991 - Snowbird, United States Duration: 8 Apr 1991 → 11 Apr 1991 |
Publication series
Name | Data Compression Conference Proceedings |
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Volume | 1991-April |
ISSN (Print) | 1068-0314 |
Conference
Conference | 1991 Data Compression Conference, DCC 1991 |
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Country/Territory | United States |
City | Snowbird |
Period | 8/04/91 → 11/04/91 |
Bibliographical note
Publisher Copyright:© 1991 IEEE.