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Natural motion statistics for no-reference video quality assessment
M.A. Saad and A.C. Bovik
First International Workshop on Quality of Multimedia Experience
Abstract
We model the motion statistics of video sequences, towards
the development of no-reference video quality indices that
take into account spatial as well as temporal characteristics
of video signals. Here we explore the temporal
characteristics of undistorted as well as distorted IP video
sequences; (distorted by varying levels of packet loss rate)
as extracted from optical flow vectors. We present an
algorithm for extracting motion statistics by computing
independent components (ICs) from the optical flow field.
We then model the extracted ICs, and show that they are
more closely Laplacian distributed than the entire nondecomposed
features. We also observe that the lower the
video quality, the higher the root-mean-square (RMS) error
difference between the maximum-likelihood Laplacian fits
of the two extracted ICs of the flow vectors.
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