论文标题
用于优化HEVC模式决策过程的多目标设计空间探索
Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process
论文作者
论文摘要
找到最佳的编码决策来压缩视频序列是一个高度复杂的问题。在这项工作中，我们提出了一种多目标设计空间探索（DSE）方法，以自动找到针对几种不同标准进行优化的HEVC编码器实现。 DSE应优化模式决策过程的编码模式评估顺序，并共同探索早期的跳过条件，以最大程度地减少四个目标a）比特率，b）失真，c）编码时间和d）解码能量。在这种情况下，我们使用基于SystemC的HM测试模型编码器的Actor模型来评估每个探索解决方案。基于实际测量结果的评估表明，我们的框架可以自动生成编码解决方案，该解决方案可节省60％以上的编码时间，或者在接受比特率增加3％时，可以节省超过3％的解码能量。
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%.
