RDE-MOGA: Automatic Selection of Rate-Distortion-Energy Control Points for Video Encoders Using Muti-Objetive Genetic Algorithm.
Ítalo D. MachadoMarilton S. de AguiarMarcelo Schiavon PortoGuilherme CorrêaDaniel PalominoBruno ZattPublished in: ICASSP (2020)
Keyphrases
- genetic algorithm
- rate distortion
- automatic selection
- control points
- video encoder
- video coding
- bit rate
- b spline
- constant bit rate
- motion estimation
- scalable video coding
- video compression
- distributed video coding
- macroblock
- video codec
- rate control
- population size
- mode decision
- compressed video
- multi objective optimization
- motion compensated
- matching algorithm
- point correspondences
- multi objective
- motion compensation
- variable bit rate
- video sequences
- fitness function
- computational complexity
- coding efficiency
- video data
- bit budget
- motion vectors
- d objects
- neural network
- compression efficiency
- low complexity
- video streams
- video quality
- low bit rate
- evolutionary algorithm
- bitstream
- error propagation
- multimedia
- real time video
- video content
- multi view
- video frames
- genetic algorithm ga
- multiscale
- multiresolution
- least squares
- image sequences
- scalable video
- basis functions
- temporal correlation
- differential evolution
- high quality
- inter frame