Results 11 to 20 of about 256 (143)
Review of Research on Video Quality Assessment Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Video quality assessment (VQA) is based on the subjective quality assessment results of the human eye, using models to evaluate distorted videos. It is difficult for traditional assessment methods to make subjective assessment results consistent with ...
TAN Yaya, KONG Guangqian
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No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention
IEEE Access, 2022 The rapid growth of video consumption and multimedia applications has increased the interest of the academia and industry in building tools that can evaluate perceptual video quality. Since videos might be distorted when they are captured or transmitted,
Koffi Kossi +3 more
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Sensors, 2022 With the constantly growing popularity of video-based services and applications, no-reference video quality assessment (NR-VQA) has become a very hot research topic.
Domonkos Varga
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Video quality assessment using motion-compensated temporal filtering and manifold feature similarity. [PDF]
PLoS ONE, 2017 Well-performed Video quality assessment (VQA) method should be consistent with human visual systems for better prediction accuracy. In this paper, we propose a VQA method using motion-compensated temporal filtering (MCTF) and manifold feature similarity.
Yang Song +4 more
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Perceptual video quality assessment: the journey continues!
Frontiers in Signal Processing, 2023 Perceptual Video Quality Assessment (VQA) is one of the most fundamental and challenging problems in the field of Video Engineering. Along with video compression, it has become one of two dominant theoretical and algorithmic technologies in television ...
Avinab Saha +7 more
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MRET: Multi-resolution transformer for video quality assessment
Frontiers in Signal Processing, 2023 No-reference video quality assessment (NR-VQA) for user generated content (UGC) is crucial for understanding and improving visual experience. Unlike video recognition tasks, VQA tasks are sensitive to changes in input resolution.
Junjie Ke +4 more
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Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment
IEEE Access, 2023 Nowadays, video quality assessment (VQA) plays a vital role in video-related industries to predict human perceived video quality to maintain the quality of service.
Ngai-Wing Kwong +3 more
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MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted to ...
Zicheng Zhang +7 more
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An Efficient Method for No-Reference Video Quality Assessment
Journal of Imaging, 2021 Methods for No-Reference Video Quality Assessment (NR-VQA) of consumer-produced video content are largely investigated due to the spread of databases containing videos affected by natural distortions.
Mirko Agarla +2 more
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Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos
Sensors, 2021 Over the past few decades, video quality assessment (VQA) has become a valuable research field. The perception of in-the-wild video quality without reference is mainly challenged by hybrid distortions with dynamic variations and the movement of the ...
Jiu Jiang +4 more
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