.png){kind=icon}
.png){kind=icon}
Return
Predictive multistage vector quantizer design using asymptotic closed-loop optimization
.png){kind=icon}
PRE
AI
DOI：10.1109/83.967403.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This correspondence builds on the asymptotic closed-loop approach to predictive vector quantizer design [1], and extends it to the design of predictive multistage vector quantizers for low bit rate video coding. The design approach resolves longstanding shortcomings, in particular, design stability and empty-cell problems. Simulation results show substantial gains over traditional design approaches.
Keywords:
multistage vector quantization
predictive quantizer design
splitting
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
13.7
Papers:
1.0W
Citations:
8.4W
Organization
No organization information available