Name
Abstract | ||
|---|---|---|
Current video coding techniques use a Discrete Cosine Transform (DCT) to reduce spatial correlations within the motion estimation residual. Often the correlation cannot be completely eliminated leaving the transform coefficients statistically dependent. The presented paper proposes a method to predict these coefficients on a block level by using the distribution of the prediction error variance to improve coding efficiency. First experiments lead to a reduction in bit rate by 1.83% when compared to the standard JM 17.2 implementation results. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/VCIP.2011.6115991 | Visual Communications and Image Processing |
Keywords | Field | DocType |
correlation methods,discrete cosine transforms,motion compensation,motion estimation,prediction theory,video coding,DCT coefficient prediction,discrete cosine transform,motion compensation error distribution,motion estimation residual,prediction error variance,spatial correlation reduction,video coding | Residual,Computer vision,Algorithmic efficiency,Discrete cosine transform,Motion compensation,Coding (social sciences),Artificial intelligence,Motion estimation,Covariance matrix,Mathematics,Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-4577-1320-0 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julia Schmidt | 1 | 0 | 0.34 |
| B Edler | 2 | 46 | 9.21 |
| Jörn Ostermann | 3 | 993 | 167.01 |