Novel Spatio-Temporal Structural Information Based Video Quality Metric
Novel Spatio-Temporal Structural Information Based Video Quality Metric
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DOI：
10.1109/tcsvt.2012.2186745
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发表时间：
2012-07
影响因子：
8.4
通讯作者：
Y. Wang;Tingting Jiang;Siwei Ma;Wen Gao
中科院分区：
文献类型：
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作者：
Y. Wang;Tingting Jiang;Siwei Ma;Wen Gao
视频质量评估(VQA)对于许多视频处理应用，如压缩、存档、恢复和增强都是非常重要的。一个理想的视频质量度量应该达到视频失真预测与人类视觉系统的心理感知之间的一致性。与单幅图像的质量评价不同，VQA需要仔细考虑运动信息和时间失真。以往的VQA算法大多通过两种方式来处理运动信息：要么将运动特征加入到时间加权方案中以考虑它们对空间失真的影响，要么独立地对时间失真和空间失真进行建模。需要用这两种方法来估计光流。在本文中，我们提出一种不同的方法来处理运动信息。该方法不是显式地计算光流和独立地模拟时间失真，而是用局域时空区域中的一些结构特征来解释空间边缘特征和时间运动特征。我们提出用从三维结构张量中提取的两个描述子来表示结构信息，这两个描述子是最大的特征值及其对应的特征向量。在实时数据库和VQEG FR-TV一期数据库上的实验结果表明，提出的VQA度量在保持相对较低的计算复杂度的同时，与现有的VQA度量具有较好的竞争力。
Video quality assessment (VQA) is very important for many video processing applications, e.g., compression, archiving, restoration, and enhancement. An ideal video quality metric should achieve consistency between video distortion prediction and psychological perception of human visual system. Different from the quality assessment of single images, motion information and temporal distortion should be carefully considered for VQA. Most of previous VQA algorithms deal with the motion information through two ways: either incorporating motion characteristics into a temporal weighting scheme to account for their affects on the spatial distortion, or modeling the temporal distortion and spatial distortion independently. Optical flows need to be estimated in the two ways. In this paper, we propose a different methodology to deal with the motion information. Instead of explicitly calculating the optical flow and independently modeling the temporal distortion, both the spatial edge features and temporal motion characteristics are accounted for by some structural features in the localized spacetime regions. We propose to represent the structural information by two descriptors extracted from the 3-D structure tensors, which are the largest eigenvalue as well as its corresponding eigenvector. Experimental results on LIVE database and VQEG FR-TV Phase-I database show that the proposed VQA metric is competitive with state-of-the-art VQA metrics, while keeping relatively low computing complexity.