A toolset for the analysis and optimization of motion estimation algorithms and processors.
Trevor SpiteriGeorge VafiadisJosé Luis Núñez-YáñezPublished in: FPL (2009)
Keyphrases
- motion estimation
- theoretical analysis
- learning algorithm
- worst case
- orders of magnitude
- discrete optimization
- combinatorial optimization
- computational cost
- computer vision
- parallel processing
- motion vectors
- optimization problems
- significant improvement
- global optimization
- computational complexity
- highly efficient
- motion compensated
- data structure
- stochastic gradient
- multiprocessor systems
- robust motion estimation