Constant quality rate allocation for FGS coding using composite R-D analysis
Document Type
Article
Publication Date
4-1-2006
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. © 2006 IEEE.
Identifier
33645159252 (Scopus)
Publication Title
IEEE Transactions on Multimedia
External Full Text Location
https://doi.org/10.1109/TMM.2005.864351
ISSN
15209210
First Page
405
Last Page
407
Issue
2
Volume
8
Grant
R01EB002309
Fund Ref
National Institutes of Health
Recommended Citation
Cheng, Hui; Zhang, Xi Min; Shi, Yun Q.; Vetro, Anthony; and Sun, Huifang, "Constant quality rate allocation for FGS coding using composite R-D analysis" (2006). Faculty Publications. 19018.
https://digitalcommons.njit.edu/fac_pubs/19018
