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MPEG2 decoding complexity regulation for a media processor

机译:媒体处理器的MPEG2解码复杂度规定

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Current implementations of real-time video decoders employhard-decoding without run-time computation regulation. The result isfluctuation in the video decoding time that requires over-specifieddedicated hardware or general-purpose processors to guarantee real-timeperformance. We propose a computation regulation system for MPEG-2 videodecoding on media processors that obviates over-engineering whilemaintaining real-time performance and video quality. Our computationregulation scheme consists of dynamic complexity prediction and control.The complexity prediction algorithm takes implementation issues specificto media processors into account and yields accurate prediction resultsthat correlate with actual measurements to 97%. The predicted complexityis then used as a control signal to adjust the decoding algorithm sothat peaks in computation load are suppressed. Simulation results showthat our system can lower the overall CPU cycle budget by a large factor(25%) with very little degradation in video quality
机译:实时视频解码器的当前实现采用 没有运行时计算规则的硬解码。结果是 视频解码时间的波动需要过度指定 专用硬件或通用处理器,以确保实时 表现。我们提出了一种用于MPEG-2视频的计算调节系统 在媒体处理器上进行解码,从而避免了过度设计 保持实时性能和视频质量。我们的计算 调节方案包括动态复杂度的预测和控制。 复杂度预测算法将实现问题具体化 考虑到媒体处理器并产生准确的预测结果 与实际测量值相关的比例高达97%。预测的复杂度 然后用作控制信号来调整解码算法,因此 抑制了计算负荷的峰值。仿真结果表明 我们的系统可以大大降低总体CPU周期预算 (25%),视频质量几乎没有下降

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