No-Reference Quality Assessment of H.264/AVC Encoded Video

Abstract--This paper proposes a no-reference quality assessment metric for digital video subject to H.264/AVC encoding. The proposed metric comprises two main steps: coding error estimation and perceptual weighting of this error. Error estimates are computed in the transform domain, assuming that DCT coefficients are corrupted by quantization noise. The DCT coefficient distributions are modeled using Cauchy or Laplace probability density functions, whose parameterization is performed using the quantized coefficient data and quantization steps. Parameter estimation is based on a maximum-likelihood estimation method combined with linear prediction. The linear prediction scheme takes advantage of the correlation between parameter values at neighbor DCT spatial frequencies. As for the perceptual weighting module, it is based on a spatio-temporal contrast sensitivity function applied to the DCT domain that compensates image plane movement by considering the movements of the human eye, namel...

• Type: Journal
• Year: 2010
• Where: TCSV
• Authors: Tomás Brandão, Tiago Rosa Maria Paula Queluz
• Keywords: Computational Biology, Linear Prediction, Perceptual Weighting, Quality Assessment, TCSV 2010