A very low complexity reduced reference video quality metric based on spatio-temporal information selection

This paper presents a reduced reference video quality metric that exploits contrast and motion sensitivity characteristics of the HVS to perform a spatio-temporal selection of reference data. Spatio-temporal selection is realised through mapping of wavelet subbands to contrast sensitivity and through motion analysis. The proposed method is integrated with a modified SSIM-based framework to produce STIS-SSIM, a very low complexity reduced reference metric. The metric is shown to offer significant performance improvement over many existing full reference and reduced reference video quality metrics when tested on the LIVE video database.