Yang, J., Xiong, J., Gui, G., Song, R., Luo, W., & Long, X. (2017). Hierarchical Gradient Similarity Based Video Quality Assessment Metric. Preprints. https://doi.org/10.20944/preprints201704.0088.v1
Chicago/Turabian Style
Yang, J., Wang Luo and Xianzhong Long. 2017 "Hierarchical Gradient Similarity Based Video Quality Assessment Metric" Preprints. https://doi.org/10.20944/preprints201704.0088.v1
Abstract
Video quality assessment (VQA) plays an important role in video applications for quality evaluation and resource allocation. It aims to evaluate the video quality consistent with the 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 the state-of-the-art VQA metrics.
Keywords
hierarchical video quality assessment; human visual systems; primate visual cortex; full reference
Subject
Engineering, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
