Name
Abstract | ||
|---|---|---|
This paper 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. We describe the DVQ algorithm, its adaptations for sampled NTSC composite-color video, and details of its hardware implementation. We conclude by presenting both numerical results and images drawn from real-time operation of the DVQ hardware |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/76.350774 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
cmos,real time,video compression,chip,hardware,vector quantization,real time systems,speech,associative memory,data compression,architecture,pixel | Computer vision,NTSC,Content-addressable memory,Computer science,Image processing,CMOS,Chip,Vector quantization,Content-addressable storage,Artificial intelligence,Data compression | Journal |
Volume | Issue | ISSN |
5 | 1 | 1051-8215 |
Citations | PageRank | References |
11 | 1.64 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| James E. Fowler | 1 | 1543 | 100.45 |
| Kenneth C. Adkins | 2 | 11 | 1.64 |
| Steven B. Bibyk | 3 | 12 | 2.42 |
| S. C. Ahalt | 4 | 114 | 13.12 |