Hierarchical Gradient Similarity Based Video Quality Assessment Metric
AbstractVideo quality assessment (VQA) plays an important role in video applications for quality evaluation and resource allocation. It aims to evaluate video quality in a way that is consistent with human perception. In this letter, a hierarchical gradient similarity based VQA metric is proposed inspired by the structure of the primate visual cortex, in which visual information is processed through sequential visual areas. These areas are modeled with the corresponding measures to evaluate the overall perceptual quality. Experimental results on the LIVE database show that the proposed VQA metric significantly outperforms most of the state-of-the-art VQA metrics. View Full-Text
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Yang, J.; Xiong, J.; Gui, G.; Song, R.; Luo, W.; Long, X. Hierarchical Gradient Similarity Based Video Quality Assessment Metric. Algorithms 2017, 10, 72.
Yang J, Xiong J, Gui G, Song R, Luo W, Long X. Hierarchical Gradient Similarity Based Video Quality Assessment Metric. Algorithms. 2017; 10(3):72.Chicago/Turabian Style
Yang, Jie; Xiong, Jian; Gui, Guan; Song, Rongfang; Luo, Wang; Long, Xianzhong. 2017. "Hierarchical Gradient Similarity Based Video Quality Assessment Metric." Algorithms 10, no. 3: 72.
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