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No-Reference Video Quality Assessment (VQA) Using Novel Inter Sub-band 3-D DWT Features
2020 National Conference on Communications (NCC), 2020Major goal of blind video quality assessment (VQA) is to predict visual quality of videos for enhancing the quality of service (QoS) without any reference. However, the conventional VQA model uses video as a two-dimensional image sequence and extracts the features on a frame to frame basis; which completely neglects temporal nature of the video data ...
Anish Kumar Vishwakarma +1 more
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Fractal Analysis of Radon Coefficients for No-Reference Video Quality Assessment (NR-VQA)
2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS), 2022Anish Kumar Vishwakarma +1 more
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Spatiotemporal Statistics for Video Quality Assessment
IEEE Transactions on Image Processing, 2016 It is an important task to design models for universal no-reference video quality assessment (NR-VQA) in multiple video processing and computer vision applications.
Xuelong Li, Xiaoqiang Lu
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SF-VQA: Saliency Fragments No-Reference Video Quality Assessment
2025 IEEE International Conference on Image Processing (ICIP)Cheul-Hee Hahm, Wook-Hyung Kim
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Memory-VQA: Video quality assessment of UGC based on human memory system
NeurocomputingGuangqian Kong, Xun Duan
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BH-VQA: Blind High Frame Rate Video Quality Assessment
2023 IEEE International Conference on Multimedia and Expo (ICME), 2023Wei Lu 0021 +5 more
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Neurocomputing
Human feelings are integral to Video Quality Assessment (VQA) under the Human Visual System (HVS) paradigm. However, most existing approaches predominantly model spatio-temporal distortions and insufficiently account for perceptual effects driven by human feelings.
Yachun Mi +4 more
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Human feelings are integral to Video Quality Assessment (VQA) under the Human Visual System (HVS) paradigm. However, most existing approaches predominantly model spatio-temporal distortions and insufficiently account for perceptual effects driven by human feelings.
Yachun Mi +4 more
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ADS-VQA: Adaptive sampling model for video quality assessment
DisplaysShuaibo Cheng +3 more
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AIGC-VQA: A Holistic Perception Metric for AIGC Video Quality Assessment
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Yiting Lu +8 more
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