  Finding the best possible encoding decisions for compressing a video sequence
is a highly complex problem. In this work, we propose a multi-objective Design
Space Exploration (DSE) method to automatically find HEVC encoder
implementations that are optimized for several different criteria. The DSE
shall optimize the coding mode evaluation order of the mode decision process
and jointly explore early skip conditions to minimize the four objectives a)
bitrate, b) distortion, c) encoding time, and d) decoding energy. In this
context, we use a SystemC-based actor model of the HM test model encoder for
the evaluation of each explored solution. The evaluation that is based on real
measurements shows that our framework can automatically generate encoder
solutions that save more than 60% of encoding time or 3% of decoding energy
when accepting bitrate increases of around 3%.
