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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2399793