A Video Quality Assessment Model Based on Edge Information

Abstract:

Video quality assessment can be gotten by combination the distortion in the space area and the time area. As we all known that edge information is one of the most important features in image quality estimation. Based on the edge model in the perceived image quality estimation, we used it in the space and time area in the video, and get the edge information distorted model in space area and time area of the video. Using multilinear regression to combine the two models, we can get the video quality assessment model based on edge information. The proposed model only uses the edge information, and the consumption in both areas is small. After compared with other methods given by video quality estimation group, it’s found that our method is convenient and good at the 50 Hz video sequence of low bit rate(768kb/s -4.5 Mb/s).

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 218-222
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.218
• Online since: December 2012
• Authors: Xue Hui Wei, Meng Zhao
• Keywords: Correlation Coefficient, Edge Information, MOS, Video Quality

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