Name
Abstract | ||
|---|---|---|
In this correspondence, we propose a constant quality rate allocation algorithm for fine granularity scalability (FGS) coded videos. The rate allocation problem is formulated as a constrained minimization of quality fluctuation. The minimization is solved using a composite rate distortion (R-D) analysis. For a set of video frames, a composite R-D curve is first computed and then used for computing the optimal rate allocation. This algorithm is efficient because it is neither iterative nor recursive. After the composite R-D curve is computed, it can be used for optimal rate allocation of any rate budget. Moreover, the composite R-D curve can be updated efficiently over sliding windows. Experimental results have shown both the effectiveness and the efficiency of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TMM.2005.864351 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Videos,Fluctuations,Algorithm design and analysis,Sun,Scalability,Rate-distortion,Iterative algorithms,Modems,Equations,IP networks | Mathematical optimization,Computer science,Composite number,Coding (social sciences),Minification,Granularity,Rate–distortion theory,Recursion,Constrained optimization,Scalability | Journal |
Volume | Issue | ISSN |
8 | 2 | 1520-9210 |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Cheng | 1 | 215 | 17.34 |
| Xi Min Zhang | 2 | 1 | 0.37 |
| Y. Q. Shi | 3 | 433 | 31.86 |
| A. Vetro | 4 | 537 | 47.74 |
| Huifang Sun | 5 | 228 | 21.96 |