Video Quality Assessment - Groups

LIVE-VQA

The LIVE-VQA dataset is a video quality assessment dataset, consisting of 1,000 video sequences with accompanying MOS values.
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C3DVQA: FULL-REFERENCE VIDEO QUALITY ASSESSMENT WITH 3D CONVOLUTIONAL NEURAL ...

The proposed C3DVQA architecture is a full-reference video quality assessment method using 3D convolutional neural network.
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GamingVideoSET

GamingVideoSET: a dataset for gaming video streaming applications
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RAPIQUE

RAPIQUE: rapid and accurate video quality prediction of user generated content.
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UGC-VQA

UGC-VQA: benchmarking blind video quality assessment for user generated content.
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VDPVE

VDPVE: VQA dataset for perceptual video enhancement.
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Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment

Video quality assessment (VQA) aims to simulate the human perception of video quality, which is influenced by factors ranging from low-level color and texture details to...
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FUNQUE+

The FUNQUE+ suite of models were designed for the quality assessment of compressed SDR videos.
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LIVE-HDR

The LIVE-HDR database is a subjectively annotated database of 310 compressed 4K HDR videos.
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MCL-JCV

A video quality assessment dataset based on JND measurement, containing 1509 videos.
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CVD2014

The CVD2014 dataset is a large-scale video quality assessment dataset.
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LIVE-Qualcomm

The LIVE-Qualcomm dataset is a large-scale video quality assessment dataset.
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LIVE-VQC

The LIVE-VQC dataset is a large-scale video quality assessment dataset.
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KoNViD-1k

The KoNViD-1k dataset is a video quality assessment dataset, consisting of 1,200 video sequences with accompanying MOS values.
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Uniﬁed Quality Assessment of In-the-Wild Videos with Mixed Datasets Training

The dataset used in the paper for video quality assessment in the wild.
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Videomamba

The dataset used in the paper for video quality assessment, consisting of videos with various distortions.
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CSIQ

The proposed model is designed to capture distortion-related patterns using a task transfer strategy simulating the from easy to hard human learning law.
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LIVE

The proposed model is designed to capture distortion-related patterns using a task transfer strategy simulating the from easy to hard human learning law.
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18 datasets found