作者: Yih Han Tan , Zhengguo Li , Keng Pang Lim , Susanto Rahardja , None
DOI: 10.1109/TCSVT.2008.924102
关键词:
摘要: In this paper, we introduce a low-complexity fine-granularity scalable (FGS) video encoder that refines both residue and motion information in the quality layers. The current coding (SVC) draft shows significant gains can be achieved when each enhancement layer undergoes estimation/motion compensation (ME/MC) process with its own vector field (MVF). However, given high computational cost of ME/MC, motion-refined FGS scheme expensive to implement. proposed controls macroblock (MB) mode allowed base channels resources refine Through proper selection Lagrangian factor for generation first MVF, it is possible design has good overall performance. A simplified motion-refinement also adopted selected MBs layers by exploiting correlation MB-type between successive further reduce complexity encoder. Meanwhile, framework rate-distortion-complexity optimization considering interpolation during ME/MC layer. decoder through reduction number interpolations.