Name
Abstract | ||
|---|---|---|
In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively request better image quality. By exploiting the broadcast nature and correlation between multiview images, we investigate a two-camera setup and propose a novel two-encoder successive refinement scheme which imitates a ping-pong game. For the bivariate Gaussian case, we prove that this scheme is successively refinable on the theoretical rate-distortion limit of distributed coding (Wagner surface) under arbitrary settings. For stereo-view images, we develop a practical successive refinement coding algorithm using the same idea. The simulation results show that this scheme operates close to the distributed coding bound. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIP.2012.2205008 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
ping pong game,image quality,image coding,gaussian processes,bivariate gaussian case,hazard monitoring,theoretical rate-distortion limit,distributed successive refinement,multiview images,successive refinement scheme,wagner surface,source channel coding,video coding,distributed coding bound,broadcast advantage,user demand,successive refinement image coding,successive refinement coding algorithm,stereo image processing,energy-constrained,stereo view images,error resilient,multiple cameras,environmental monitoring application | Computer vision,Coding tree unit,Computer science,Image quality,Coding (social sciences),Robustness (computer science),Gaussian,Sub-band coding,Gaussian process,Artificial intelligence,Context-adaptive binary arithmetic coding | Journal |
Volume | Issue | ISSN |
21 | 11 | 1941-0042 |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zichong Chen | 1 | 21 | 2.93 |
| Guillermo Barrenetxea | 2 | 414 | 27.80 |
| Martin Vetterli | 3 | 13926 | 2397.68 |