Skip to Main Content
In this paper, the author focused on the design of a reduced-reference metric for wireless video quality measurement. The metric based on the principle that human trends to have different perceptibility to impairment which appeared in difference spatial and temporal regions of a video sequence. To be cooperated with the principle, the author improved on the traditional image quality metric based on singular value decomposition (SVD). Difference singular values were extracted as the reference features according to the characteristic of its video sequence. So they would be more consanguineous with the video content and be more consistent with the human perception. By doing so, the metric can reduce the bandwidth requirement of the system and be more suitable for the video quality measurement in the wireless application.