Name
Title | ||
|---|---|---|
Adaptive Residual Interpolation: a Tool for Efficient Spatial Scalability in Digital Video Coding |
Abstract | ||
|---|---|---|
Scalable video coding enables multimedia content providers to cope with the heterogeneity of networks and multimedia devices. In this paper, we introduce the novel concept of Adaptive Residual Interpolation (ARI) as a tool for efficient spatial scalable video coding. This new approach is based on the inter- layer prediction of residual data. We have implemented the ARI tool by making use of the Joint Scalable Video Model software. Tests have shown that our techniques for residual prediction result in bit rate savings of up to 8 % without diminishing visual quality. The ARI tool is especially useful for video sequences with low motion activity or when the residual data in the spatial enhancement layer is higher quantized than the data in the base layer. |
Year | Venue | Keywords |
|---|---|---|
2006 | IPCV | scalable video coding,inter- layer prediction,interpolation.,h.264/avc,software testing |
Field | DocType | Citations |
Computer vision,Residual,Digital video,Video post-processing,Computer science,Interpolation,Multiview Video Coding,Coding (social sciences),Artificial intelligence,Scalable Video Coding,Uncompressed video | Conference | 1 |
PageRank | References | Authors |
0.42 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koen De Wolf | 1 | 79 | 9.63 |
| Davy De Schrijver | 2 | 124 | 17.67 |
| Wesley De Neve | 3 | 525 | 54.41 |
| Rik Van de Walle | 4 | 2040 | 238.28 |