Reduced-reference estimation of channel-induced video distortion using distributed source coding
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A versatile model for packet loss visibility and its application to packet prioritization
IEEE Transactions on Image Processing
Modelling of spatio-temporal interaction for video quality assessment
Image Communication
Evaluation of temporal variation of video quality in packet loss networks
Image Communication
Visibility-aware direct volume rendering
Journal of Computer Science and Technology
Image quality assessment based on edge preservation
Image Communication
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This paper presents a reduced-reference objective picture quality measurement tool of compressed video. We have used a discriminative analysis of harmonic strength computed from edge-detected pictures to create harmonics gain and loss information that could be associated with the picture. The harmonics gain/loss are derived through the harmonic analysis of the compressed and source pictures to be incorporated in the reduced-reference video quality meter. This information corresponds with the two most prominent compression distortions, namely blockiness and blurriness. We have also studied the impact of motion in a video sequence on these compression distortions and the way they should be weighted and combined to give the best objective quality metric model. The model has been calibrated using several video sequences with dominant blockiness and blurriness. Validation of the model is performed by applying the model to the 50 Hz video sequences of VQEG Test Phase-I. Our results show that the proposed model achieves good correlations with the subjective evaluations of the VQEG datasets and its performance is comparable to those of the full-reference models in the literature.