Abstract
Since usage of digital video is wide spread nowadays, quality considerations have become essential, and industry demand for video quality measurement is rising. This proposal provides a method of perceptual quality assessment in H.264 standard encoder using objective modeling. For this purpose, quality impairments are calculated and a model is developed to compute the perceptual video quality metric based on no reference method. Because of the shuttle difference between the original video and the encoded video the quality of the encoded picture gets degraded, this quality difference is introduced by the encoding process like Intra and Inter prediction. The proposed model takes into account of the artifacts introduced by these spatial and temporal activities in the hybrid block based coding methods and an objective modeling of these artifacts into subjective quality estimation is proposed. The proposed model calculates the objective quality metric using subjective impairments; blockiness, blur and jerkiness compared to the existing bitrate only calculation defined in the ITU G 1070 model. The accuracy of the proposed perceptual video quality metrics is compared against popular full reference objective methods as defined by VQEG.
Highlights
Digital video in the form of various video applications such as digital television, internet streaming, digital cinema, video on demand, video telephony and video conferencing predominantly engages our life
We have presented Mean Opinion Score (MOS) calculation based on impairments of blockiness, blur and jerkiness where the MOS calculation model which carries the cumulative effect of all the three metric
Because the MOS value has the effect of the video impairments blockiness, blur and jerkiness, the testing results shows that this proposed model has high correlation with the standard full reference quality metric SSIM
Summary
Digital video in the form of various video applications such as digital television, internet streaming, digital cinema, video on demand, video telephony and video conferencing predominantly engages our life. Even though bit rate is a key parameter (ITU-T G.1070 2012) for estimating the coding distortion, the subjective quality of different video sequences cannot be correlated well with only the bitrate This proposed method, uses impairments such as blockiness, blur and jerkiness introduced by the spatial and temporal activities to improve the estimation accuracy in the encoder for the head end quality assurance. For a set of training and test video sequences, the perceptual quality calculation based on the proposed assessment model is computed and presented. Because the MOS value has the effect of the video impairments blockiness, blur and jerkiness, the testing results shows that this proposed model has high correlation with the standard full reference quality metric SSIM.
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