Name
Abstract | ||
|---|---|---|
In this paper, we propose a two-stage error-concealment method for block-based compressed video which was transmitted in an error-prone environment. In the first stage, we obtain initial estimates of the missing blocks. If the motion vectors associated with the missing blocks are available, motion compensation is used to provide good estimates. Otherwise, a novel algorithm which preserves image continuity is used to estimate the blocks. In the second stage, a maximum a posteriori (MAP) estimator, which employs an adaptive Markov random field (MRF) as the image a priori model is used to improve the video reconstruction quality. The adaptive model enables the estimation to incorporate information embedded not only in the immediate neighborhood pixels but also in a wider neighborhood into the reconstruction procedure without increasing the order of the MRF model. The proposed concealment method achieves very good computation-performance tradeoffs, as demonstrated via experimental results. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/49.848261 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
Motion estimation,Video compression,Image restoration,Image reconstruction,Discrete cosine transforms,Image coding,Markov random fields,Propagation losses,Motion compensation,Bit rate | Iterative reconstruction,Computer vision,Markov random field,Computer science,A priori and a posteriori,Motion compensation,Artificial intelligence,Maximum a posteriori estimation,Motion estimation,Image restoration,Data compression | Journal |
Volume | Issue | ISSN |
18 | 6 | 0733-8716 |
Citations | PageRank | References |
31 | 2.08 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Shirani | 1 | 301 | 25.69 |
| F. Kossentini | 2 | 2957 | 492.73 |
| R. Ward | 3 | 31 | 2.08 |