Name
Abstract | ||
|---|---|---|
We propose a rate control scheme using a rate-distortion (R-D) estimation model, which produces a consistent picture quality between consecutive frames. Our R-D estimation method offers a closed-form mathematical model that enables us to predict the bits and the distortion generated from a frame encoded at a given quantization parameter (QP) and vice versa. Its most attractive feature is its low computational complexity. Furthermore, it is accurate enough to be applied to practical video coding. In our simulation, the estimation errors for rate and distortion are less than 2.5% and 1.5%, respectively. Therefore, the proposed rate control scheme is appropriate for applications requiring low delay, low complexity, and the ability to control output bit-rate and quality accurately. Our scheme ensures that the video buffers do not underflow or overflow by satisfying the buffer constraint, and it also prevents quality difference between consecutive frames from exceeding a certain demanded level by adopting a distortion constraint. In addition, a consistent picture quality is maintained within a frame, and error propagation, caused by quality degradation of anchor frames, is reduced by differentiating the control procedure for anchor frames from that for nonanchor frames. Simulation results show that our control scheme achieves 0.52-1.84 dB peak signal-to-noise ratio (PSNR) gain over MPEG-2 Test Model 5 (TM5) rate control and maintains very consistent quality within a frame as well as between frames. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TBC.2003.808912 | TBC |
Keywords | DocType | Volume |
PSNR,Rate-distortion,Mathematical model,Quantization,Quadratic programming,Computational complexity,Video coding,Computational modeling,Estimation error,Rate distortion theory | Journal | 49 |
Issue | ISSN | Citations |
1 | 0018-9316 | 1 |
PageRank | References | Authors |
0.35 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sung-Hoon Hong | 1 | 7 | 4.43 |
| Sang-jo Yoo | 2 | 225 | 27.74 |
| Si-woong Lee | 3 | 68 | 11.58 |
| Hyun-Soo Kang | 4 | 13 | 6.22 |
| Sung Yong Hong | 5 | 1 | 0.35 |