能适应性比特流层模型用于V-PCC编码3D点云的感知质量评估
概括
我们开发了一种新的无参考位流层模型,用于点云 (PC) 质量评估. 这种能量适应性比特流层 (EABL) 模型有效地预测解码期间的质量,而无需完全解压.
科学领域:
- 计算机视觉 计算机视觉
- 信号处理 信号处理
- 多媒体系统 多媒体系统
背景情况:
- 点云 (PC) 应用程序正在迅速扩展,需要有效的质量评估方法.
- 当前的质量评估模型往往需要完整的解码,这在计算上是密集的.
- 比特流层分析为更快的质量评估提供了一个潜在的途径.
研究的目的:
- 为点云提出一个无参考位流层质量评估模型.
- 为了在没有完全解压的情况下在V-PCC解码过程中进行质量评估.
- 建立一个计算效率高的替代现有的全参考和缩减参考方法.
主要方法:
- 在无损几何编码中,说明内容多样性 (CD) 与感知编码扭曲之间的关系.
- 通过使用转换能量 (TE) 和纹理量化参数 (TQP) 预测CD的模拟属性扭曲.
- 将几何扭曲和属性扭曲模型与相关的量化参数 (GQP,TQP) 结合起来,进行全面的预测.
主要成果:
- 拟议的能源适应性比特流层 (EABL) 模型展示了具有竞争力的质量预测性能.
- EABL的结果与现有的全参考,缩减参考和无参考模型相提并论.
- 与传统方法相比,EABL模型提供了显著的速度优势.
结论:
- EABL模型为无参考点云质量评估提供了高效和有效的解决方案.
- 比特流层分析是V-PCC中实时质量评估的可行方法.
- 拟议的方法为扩展PC应用程序提供了更快,更容易获得的质量评估.
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