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AssigneeAlgolith Inc.
InventorsChon Le Dinh, Francois Rossignol, Hong Nguyen
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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.
A method for assessing the quality of a video sequence generated from an original video sequence, said method comprising:
An apparatus for assessing the quality of a video sequence generated from an original video sequence, said apparatus comprising:
A method for assessing the quality of a video sequence generated from an original video sequence, said method comprising:
An apparatus for assessing the quality of a video sequence generated from an original video sequence, said apparatus comprising:
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