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A full reference stereoscopic video quality assessment metric
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017We propose a full reference stereo video quality assessment algorithm for assessing the perceptual quality of natural stereo videos. We exploit the separable representation of motion and binocular disparity in the visual cortex and develop a four stage algorithm to measure the quality of a stereoscopic video called FLOSIM3D.
Balasubramanyam Appina +2 more
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Combining CNN and transformers for full-reference and no-reference image quality assessment
Neurocomputing, 2023Chao Zeng 0005, Sam Kwong
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Deep Neural Networks For Full-Reference And No-Reference Audio-Visual Quality Assessment
2021 IEEE International Conference on Image Processing (ICIP), 2021Yuqin Cao +3 more
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Full-Reference And No-Reference Quality Assessment For Compressed User-Generated Content Videos
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021Yang Li 0153 +5 more
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A No-Reference and Full-Reference image quality assessment and enhancement framework in real-time
Multimedia Tools and Applications, 2022Zahi Al Chami +4 more
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CORN: Co-Trained Full-Reference And No-Reference Audio Metrics.
CoRR, 2023Pranay Manocha +2 more
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Full-Reference and No-Reference Quality Assessment for Video Frame Interpolation
IEEE Transactions on Circuits and Systems for Video TechnologyJinliang Han +5 more
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