Abstract
Due to ever growing needs of multimedia data for various applications like video conferencing and streaming, which involves human subjects, it is often desired to have good resumed perceptual quality of videos, thus arises the need of quality assessment. This paper discusses involved steps during subjective quality assessment and various available objective quality metrics like peak signal to noise ratio (PSNR) and structural similarity index (SSIM) along with their performance with respect to human visual system (HVS) models. This paper presents an HVS model which incorporates frame drop distortion and its impact over subjective score. Simulation results show that PSNR and SSIM are inefficient to analyse the quality deterioration due to frame drop.
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