18 datasets found

The LIVE-VQA dataset is a video quality assessment dataset, consisting of 1,000 video sequences with accompanying MOS values.

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

GamingVideoSET: a dataset for gaming video streaming applications

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

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

VDPVE: VQA dataset for perceptual video enhancement.

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...

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

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

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

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

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

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

The KoNViD-1k dataset is a video quality assessment dataset, consisting of 1,200 video sequences with accompanying MOS values.

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

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

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

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