Name
Title | ||
|---|---|---|
Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment. |
Abstract | ||
|---|---|---|
Error concealment (EC) is of great importance for block-based video systems, such as digital video broadcasting or video streaming services. In this paper, we propose a novel scalable spatial EC algorithm that aims at obtaining high quality reconstructions with reduced computational burden. The proposed technique exploits the excellent reconstructing abilities of the kernel-based minimum mean square error (K-MMSE) estimator. We propose to decompose this approach into a set of hierarchically stacked layers. The first layer performs the basic reconstruction that the subsequent layers can eventually refine. In addition, we design a layer management mechanism, based on profiles, that dynamically adapts the use of higher layers to the visual complexity of the area being reconstructed. The proposed technique outperforms other state-of-the-art algorithms and produces high quality reconstructions, equivalent to K-MMSE, while requiring around one tenth of its computational time. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBC.2016.2619581 | TBC |
Keywords | Field | DocType |
Image reconstruction,Estimation,Streaming media,Interpolation,Kernel,Switches,Context | Iterative reconstruction,Kernel (linear algebra),Error concealment,Computer science,Interpolation,Minimum mean square error,Algorithm,Electronic engineering,Theoretical computer science,Digital Video Broadcasting,Estimator,Scalability | Journal |
Volume | Issue | ISSN |
63 | 1 | 0018-9316 |
Citations | PageRank | References |
1 | 0.36 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ján Koloda | 1 | 39 | 5.68 |
| Jürgen Seiler | 2 | 145 | 28.28 |
| Antonio M. Peinado | 3 | 376 | 41.97 |
| André Kaup | 4 | 861 | 127.24 |