Differential vector quantization of real-time video

Author

Fowler, James E. ; Ahalt, Stanley C.

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

fYear

1994

fDate

29-31 Mar 1994

Firstpage

205

Lastpage

214

Abstract

Describes hardware that has been built to compress video in real time using full-search vector quantization (VQ). This architecture implements a differential-vector-quantization (DVQ) algorithm and features a special-purpose digital associative memory, the VAMPIRE chip, which has been fabricated in 2 μm CMOS. The authors describe the DVQ algorithm, its adaptations for sampled NTSC composite-color video, and details of its hardware implementation. They conclude by presenting images drawn from real-time operation of the DVQ hardware

Keywords

CMOS integrated circuits; VLSI; application specific integrated circuits; codecs; digital signal processing chips; image coding; real-time systems; vector quantisation; video equipment; video signals; CMOS; DVQ algorithm; VAMPIRE chip; differential vector quantization; full-search vector quantization; hardware implementation; real-time video; sampled NTSC composite-color video; special-purpose digital associative memory; video compression; Associative memory; Computational complexity; Computer architecture; Data compression; Hardware; Image coding; Proposals; Speech; Vector quantization; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 1994. DCC '94. Proceedings

Conference_Location

Snowbird, UT

Print_ISBN

0-8186-5637-9

Type

conf

DOI

10.1109/DCC.1994.305928

Filename

305928