Survey of Recent Developments in Quality Assessment for Target Recognition Video

Abstract

Users of video to perform tasks require sufficient video quality to recognize the information needed for their application. Therefore, the fundamental measure of video quality in these applications is the success rate of these recognition tasks, which is referred to as visual intelligibility or acuity. One of the major causes of reduction of visual intelligibility is loss of data through various forms of compression. Additionally, the characteristics of the scene being captured have a direct effect on visual intelligibility and on the performance of a compression operation-specifically, the size of the target of interest, the lighting conditions, and the temporal complexity of the scene. This paper presents a survey of recent developments in quality assessment for target recognition video, which is including performed series of tests to study the effects and interactions of compression and scene characteristics. An additional goal was to test existing and develop new objective measurements. © Springer-Verlag Berlin Heidelberg 2013.