There is disclosed a method and system for objective video quality assessment. The objective video quality assessment approach automatically predicts human visual quality assessment behaviours in evaluating videos that contain artifacts generated during video acquisition, storage, reproduction, compression, transmission, processing, and/or display. The present method and system computes a five-dimensional quality map of a video being assessed, where the map indicates the local quality variations of the video in a five-dimensional space, which includes two spatial dimensions, one scale dimension, one time dimension, and one distortion type dimension. The present method and system may use one or a combination of device and viewing condition parameters in the generation of the quality map, and in the combination of the quality map into a scalar or vector-values measure that indicates quality aspects of the test videos.
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