Abstract
A recursively indexed vector quantizer is presented. It has the following properties: simple to implement with low computational overhead, it is adaptive and is well suited for applications where the source is non-stationary, the output rate can be easily changed making it suitable for applications requiring rate control, and the input vectors can be quantized. The algorithms have been tested on a number of synthetic hidden Markov sources and on a video sequence and results of both tests compare favorably with existing results in the literature.
Original language | English (US) |
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Pages (from-to) | 450 |
Number of pages | 1 |
Journal | Data Compression Conference Proceedings |
State | Published - 1995 |
Event | Proceedings of the 5th Data Compression Conference - Snowbird, UT, USA Duration: Mar 28 1995 → Mar 30 1995 |
ASJC Scopus subject areas
- Computer Networks and Communications