Title :
Inter-temporal vector prediction for motion estimation in scalable video coding
Author :
Kamp, Steffen ; Heyden, Dominic ; Ohm, Jens-Rainer
Author_Institution :
RWTH Aachen Univ., Aachen
fDate :
Nov. 28 2007-Dec. 1 2007
Abstract :
Motion estimation plays an important role for the coding performance achieved in current video coding schemes. However, the computational burden of motion estimation algorithms is often high, especially if the temporal distance between pictures is large. We describe a predictive motion estimation algorithm that takes advantage of motion correlation found specifically in scalable video coding using open-loop hierarchical B pictures or motion-compensated temporal filtering. The simulation results illustrate that our proposed algorithm significantly reduces the computational complexity of motion estimation while maintaining objective and visual quality almost identical to an exhaustive full search algorithm.
Keywords :
computational complexity; filtering theory; motion estimation; search problems; video coding; computational complexity; intertemporal vector prediction; motion correlation; motion-compensated temporal filtering; open-loop hierarchical pictures; predictive motion estimation; search algorithm; video coding; visual quality; Computational complexity; Cost function; Distortion measurement; Filtering; Iterative algorithms; Motion compensation; Motion estimation; Signal processing algorithms; Video coding; Video sequences; Scalable video coding; hierarchical B pictures; motion estimation;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
DOI :
10.1109/ISPACS.2007.4445955