Name
Abstract | ||
|---|---|---|
This paper describes a fuzzy quality-controller for video coding systems based on the H.261 recommendation. The picture quality is tuned by a classification of the blocks of each frame of the sequence based on a simplified model of the human visual system. The quantization parameter is evaluated according to this classification making more relevant parts be coded with finer details at the expense of less significant regions. The system is based on a restricted number of fuzzy rules and can be easily reconfigured if a different classification criterion must be adopted. The subjective quality of coded sequences is better than the one obtained by the reference model at the cost of higher computational tasks |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/91.580802 | IEEE T. Fuzzy Systems |
Keywords | Field | DocType |
fuzzy quality-controller,h.261 recommendation,fuzzy-controlled perceptual,picture quality,videophone sequence,video coding system,reference model,different classification criterion,subjective quality,fuzzy rule,finer detail,human visual system,decoding,quantization,isdn,fuzzy set theory,videotelephony,video compression,indexing terms,data compression,fuzzy systems,pulse modulation,fuzzy logic | Reference model,Human visual system model,Coding (social sciences),Fuzzy set,Artificial intelligence,Pattern recognition,Fuzzy logic,Speech recognition,Quantization (signal processing),Data compression,Videophone,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 2 | 1063-6706 |
Citations | PageRank | References |
1 | 0.43 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Leone | 1 | 1 | 0.43 |
| A. Bellini | 2 | 125 | 18.98 |
| R Guerrieri | 3 | 124 | 30.04 |