Name
Abstract | ||
|---|---|---|
In this paper, we present a new video coding scheme to improve coding efficiency. For this purpose, we develop a loop filter that restores the compressed pictures in accordance with the image local characteristic. More specifically, a picture is segmented in such a way that the rate distortion cost is minimized and each pixel of the picture is restored using Wiener filter specific to the region. The restored picture is used for the motion-compensated prediction of future pictures and this can improve coding efficiency. In particular, we propose segmentation mode to reflect the local attributes of a picture. Finally, video coding that performs the new approach is implemented and results in 12.7% BD-bitrate reduction on average in Baseline Profile when compared to H.264/AVC. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5653537 | ICIP |
Keywords | Field | DocType |
motion compensation,image segmentation,segmentation,image restoration,wiener filters,loop filter,baseline profile,video coding,restoration,wiener filter,encoding | Wiener filter,Computer vision,Pattern recognition,Coding tree unit,Computer science,Context-adaptive variable-length coding,Motion compensation,Image segmentation,Pixel,Artificial intelligence,Deblocking filter,Context-adaptive binary arithmetic coding | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-7993-1 | 978-1-4244-7993-1 | 2 |
PageRank | References | Authors |
0.49 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilsoon Lim | 1 | 10 | 2.52 |
| Du Sik Park | 2 | 246 | 29.09 |
| Chang-Yeong Kim | 3 | 158 | 29.48 |