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  4. Rde-Moga: Automatic Selection Of Rate-Distortion-Energy Control Points For Video Encoders Using Muti-Objetive Genetic Algorithm
  5. Rde-Moga: Automatic Selection Of Rate-Distortion-Energy Control Points For Video Encoders Using Muti-Objetive Genetic Algorithm
Rde-Moga: Automatic Selection Of Rate-Distortion-Energy Control Points For Video Encoders Using Muti-Objetive Genetic Algorithm

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Rde-Moga: Automatic Selection Of Rate-Distortion-Energy Control Points For Video Encoders Using Muti-Objetive Genetic Algorithm

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Rde-Moga: Automatic Selection Of Rate-Distortion-Energy Control Points For Video Encoders Using Muti-Objetive Genetic Algorithm

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Controlling energy consumption of video encoders is acomplex multi-objective optimization problem of great im-portance. In this work we propose the RDE-MOGA, an multi-objective genetic algorithm capable of finding energeticallyefficient configurations for
Controlling energy consumption of video encoders is acomplex multi-objective optimization problem of great im-portance. In this work we propose the RDE-MOGA, an multi-objective genetic algorithm capable of finding energeticallyefficient configurations for

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