Results 121 to 130 of about 256 (143)
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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), 2022Kishor Bhurchandi +1 more
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Memory-VQA: Video quality assessment of UGC based on human memory system
NeurocomputingGuangqian Kong, Xun Duan, Huiyun Long
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SF-VQA: Saliency Fragments No-Reference Video Quality Assessment
2025 IEEE International Conference on Image Processing (ICIP)Cheul-Hee Hahm
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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 ...
Kishor Bhurchandi +1 more
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RAM-VQA: Restoration Assisted Multi-Modality Video Quality Assessment
IEEE Transactions on Image ProcessingVideo Quality Assessment (VQA) strives to computationally emulate human perceptual judgments and has garnered significant attention given its widespread applicability. However, existing methodologies face two primary impediments: (1) limited proficiency in evaluating samples at quality extremes (e.g., severely degraded or near-perfect videos), and (2 ...
Pengfei Chen 0003 +5 more
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Compression-RQ-VQA: Leveraging Rich Quality-Aware Features for Compressed Video Quality Assessment
Lecture Notes in Computer ScienceXiongkuo Min +2 more
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FF-VQA: Frame Replacement and Feature Stitching for Video Quality Assessment
2025 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)Kuan-Hsien Liu
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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
openaire +1 more source
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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ADS-VQA: Adaptive sampling model for video quality assessment
DisplaysShuaibo Cheng +3 more
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