DocumentCode :
2399793
Title :
Vector quantization for lossless textual data compression
Author :
Ng, Wee K. ; Ravishankar, Chinya V.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fYear :
1995
fDate :
28-30 Mar 1995
Firstpage :
474
Abstract :
Summary form only given. Vector quantisation (VQ) may be adapted for lossless data compression if the data exhibit vector structures, such as in textural relational databases. Lossless VQ is discussed and it is demonstrated that a relation of tuples may be encoded and allocated to physical disk blocks such that standard database operations such as access, insertion, deletion, and update may be fully supported
Keywords :
data compression; relational databases; vector quantisation; word processing; VQ; access; database operations; deletion; disk blocks; insertion; lossless textual data compression; textural relational databases; update; vector quantization; vector structures; Algorithm design and analysis; Books; Data compression; Image coding; Iterative algorithms; Iterative decoding; Page description languages; Relational databases; Speech coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1995. DCC '95. Proceedings
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-8186-7012-6
Type :
conf
DOI :
10.1109/DCC.1995.515584
Filename :
515584
Link To Document :
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