论文标题
在HEVC中扩展360°和HDR视频格式的视频解码模型
Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC
论文作者
论文摘要
研究表明，解码器能源模型是提高视频播放应用程序能源效率的有用工具。例如，准确的基于特征的位流模型可以减少解码过程的能源消耗。但是，直到现在，仅研究了SDR视频格式的序列。因此，本文表明，可以准确地估计不同视频格式和编码位深度的HEVC编码位流的解码能。因此，我们将文献中最新模型与提出的模型进行比较。我们显示，如果设置具有相同的编码位深度，则可以估算360°，HDR和Fisheye视频格式的位流量。此外，可以表明，平均而言，对位深度10位的位流的解码的能量需求比8位高55％。
Research has shown that decoder energy models are helpful tools for improving the energy efficiency in video playback applications. For example, an accurate feature-based bit stream model can reduce the energy consumption of the decoding process. However, until now only sequences of the SDR video format were investigated. Therefore, this paper shows that the decoding energy of HEVC-coded bit streams can be estimated precisely for different video formats and coding bit depths. Therefore, we compare a state-of-the-art model from the literature with a proposed model. We show that bit streams of the 360°, HDR, and fisheye video format can be estimated with a mean estimation error lower than 3.88% if the setups have the same coding bit depth. Furthermore, it is shown that on average, the energy demand for the decoding of bit streams with a bit depth of 10-bit is 55% higher than with 8-bit.
