Name
Abstract | ||
|---|---|---|
Reallocating resources within a video sequence to the regions-of-interest increases the perceived quality at limited bandwidths. In this paper we combine a spatial filter with a temporal filter, which are both codec and standard independent. This spatio-temporal filter removes resources from both the motion vectors and the prediction error with a computational complexity lower than the spatial filter by itself. This decreases the bit rate by 30-50% compared to coding the original sequence using H.264. The released bits can be used by the codec to increase the PSNR of the ROI by 1.58 - 4.61 dB, which is larger than for the spatial and temporal filters by themselves. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUSIPCO | image sequences,motion compensation,resource allocation,spatial filters,spatiotemporal phenomena,video codecs,video coding,roi video coding,codec,motion vectors,prediction error,regions-of-interest,spatial filter,spatio-temporal filter,video sequence |
Field | DocType | ISSN |
Filter (video),Computer vision,Temporal filter,Computer science,Coding (social sciences),Artificial intelligence,Deblocking filter,Codec,Spatial filter,Information and Computer Science,Computational complexity theory | Conference | 2219-5491 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linda S. Karlsson | 1 | 14 | 1.08 |
| Mårten Sjöström | 2 | 174 | 19.69 |
| Roger Olsson | 3 | 61 | 7.41 |