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Objective quality assessment of stereoscopic 3D video is a challenging problem. We carry out a subjective test on symmetrically and asymmetrically compressed stereoscopic videos followed by different levels of low-pass filtering. We observe a strong systematic bias when using direct averaging of 2D video quality of both views to predict 3D video quality. We use a binocular rivalry inspired model to account for the prediction bias, leading to significantly improved quality estimation ofdoi:10.1109/icip.2015.7351440 dblp:conf/icip/WangWW15 fatcat:gbutlmsjb5b23ida2kjddxgvj4