In this paper, the new organization for unit testing embedding pair-wise mode is proposed with the core thought focused on the cooperation of programmer and tester by “cross-testing”. The typical content of unit tes...In this paper, the new organization for unit testing embedding pair-wise mode is proposed with the core thought focused on the cooperation of programmer and tester by “cross-testing”. The typical content of unit testing for the new organizing mode should have three aspects, including self-checking, cross-testing and independent-testing. For cross-testing, executing “pair-wise” mode, mainly tackles data testing, function testing and state testing, which function testing must be done by details and state testing must be considered for completeness. With the specializing of independent-testing, it should be taken as more rigid testing without arbitrariness. Consequently, strategy and measure are addressed for data testing focusing on boundary testing and function/state testing. And organizing method of procedure and key points of tackling unit testing are investigated for the new organizing mode. In order to assess the validity of our study and approach, a series of actual examples are demonstrated for GUI software. The result indicates that the execution of unit testing for the new organizing mode is effective and applicable.展开更多
多功能视频编码(versatile video coding,VVC)作为最新一代的视频编码标准,通过引入多种高效的编码工具进一步提升了视频编码性能。然而,VVC标准引入了四叉树加多类型树(quadtree plus multi-type tree,QTMT)划分结构,并将帧内预测模式...多功能视频编码(versatile video coding,VVC)作为最新一代的视频编码标准,通过引入多种高效的编码工具进一步提升了视频编码性能。然而,VVC标准引入了四叉树加多类型树(quadtree plus multi-type tree,QTMT)划分结构,并将帧内预测模式从35种扩展到67种,导致编码复杂度急剧上升。为降低VVC的帧内编码复杂度,首先,提出了一种基于图神经网络的帧内编码单元(coding unit,CU)划分快速算法,该算法利用高效的图神经网络模型直接预测CU的最优划分模式,从而跳过冗余的CU划分遍历。其次,提出了一种基于空间相关性和纹理特征的帧内模式选择快速算法,该算法利用平均方向方差和Sobel梯度算子确定纹理方向,并跳过部分角度预测模式,同时结合预测模式间的相关性精简率失真模式列表。实验结果表明,该算法能够在BDBR(bjontegaard delta bit rate)上升2.29%的代价下,节省64.04%的编码时间。展开更多
文摘In this paper, the new organization for unit testing embedding pair-wise mode is proposed with the core thought focused on the cooperation of programmer and tester by “cross-testing”. The typical content of unit testing for the new organizing mode should have three aspects, including self-checking, cross-testing and independent-testing. For cross-testing, executing “pair-wise” mode, mainly tackles data testing, function testing and state testing, which function testing must be done by details and state testing must be considered for completeness. With the specializing of independent-testing, it should be taken as more rigid testing without arbitrariness. Consequently, strategy and measure are addressed for data testing focusing on boundary testing and function/state testing. And organizing method of procedure and key points of tackling unit testing are investigated for the new organizing mode. In order to assess the validity of our study and approach, a series of actual examples are demonstrated for GUI software. The result indicates that the execution of unit testing for the new organizing mode is effective and applicable.
文摘多功能视频编码(versatile video coding,VVC)作为最新一代的视频编码标准,通过引入多种高效的编码工具进一步提升了视频编码性能。然而,VVC标准引入了四叉树加多类型树(quadtree plus multi-type tree,QTMT)划分结构,并将帧内预测模式从35种扩展到67种,导致编码复杂度急剧上升。为降低VVC的帧内编码复杂度,首先,提出了一种基于图神经网络的帧内编码单元(coding unit,CU)划分快速算法,该算法利用高效的图神经网络模型直接预测CU的最优划分模式,从而跳过冗余的CU划分遍历。其次,提出了一种基于空间相关性和纹理特征的帧内模式选择快速算法,该算法利用平均方向方差和Sobel梯度算子确定纹理方向,并跳过部分角度预测模式,同时结合预测模式间的相关性精简率失真模式列表。实验结果表明,该算法能够在BDBR(bjontegaard delta bit rate)上升2.29%的代价下,节省64.04%的编码时间。
