Apparatus and method for objective assessment of DCT-coded video quality with or without an original video sequence
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United States of America Patent
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Feb 23, 2010
Grant Date -
Nov 30, 2006
app pub date -
Mar 24, 2006
filing date -
Mar 25, 2005
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Abstract
A new approach to objective quality assessment of DCT-coded video sequences, with or without a reference is proposed. The system is comprised of a proprietary segmentation algorithm, a feature extraction process and a nonlinear feed-forward-type neural network for feature analysis. The methods mimic function of the human visual system (HVS): A neural network training algorithm is used for determining the optimal network weights and biases for both system modes of operation. The proposed method allows for assessment of DCT-coded video sequences without the original source being available (pseudo-reference mode). The pseudo-reference mode is also comprised of a proprietary DCT-coded video (MPEG) noise reducer (MNR), co-pending patent application No. 60/592,143.
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