  In last decade, ever growing internet technologies provided platform to share
the multimedia data among different communities. As the ultimate users are
human subjects who are concerned about quality of visual information, it is
often desired to have good resumed perceptual quality of videos, thus arises
the need of quality assessment. This paper presents a full reference hybrid
video quality metric which is capable to analyse the video quality for
spatially or temporally (frame drop) or spatio-temporally distorted video
sequences. Simulated results show that the metric efficiently analyses the
quality degradation and more closer to the developed human visual system
