International Conference on Multimedia Processing and Systems, Aug. 2001


 A Human Visual System-Based Objective Video Distortion Measurement System

Zhou Wang and Alan C. Bovik

Laboratory for Image and Video Engineering (LIVE), Department of Electrical and Computer Engineering

The University of Texas at Austin, Austin, TX 78712-1084

PDF File (849K)

Abstract: Recently, it has become increasingly important to devise video quality/distortion measurement algorithms that help to evaluate, compare and improve video coding techniques, and hence to provide effective digital quality video services. This paper introduces a practical model for objective visual distortion measurement of compressed videos. The model is established by making use of both spatial and temporal human visual system (HVS) features, which include spatial frequency sensitivity, luminance masking, texture masking, temporal frequency sensitivity, and short-term memory effect. A ‘Video Compare’ software is developed to demonstrate the system.