Video Compression - Groups

AOM CTC Class A1 Dataset

The AOM CTC Class A1 dataset is a high-resolution video dataset used for evaluating the performance of video compression algorithms.

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VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data

A video compression degradation model to synthesize low-resolution image data in the blind SISR task.

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HEVC Test Sequences

The dataset used for training and testing the proposed DNN-based frame prediction architecture.

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Deep Frame Prediction for Video Coding

The proposed DNN-based frame prediction architecture that is able to support both uni- and bi-directional prediction.

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Ultra Video Group test sequences

The dataset used in the paper is the UVG dataset, which contains 7 1080p video sequences and a total of 3900 frames.

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Learning for video compression with hierarchical quality and recurrent enhanc...

A learning-based video compression method

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Learning image and video compression through spatial-temporal energy compaction

A learning-based video compression method

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MCL-JCV

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

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FVC: A New Framework towards Deep Video Compression in Feature Space

A video compression framework that performs all operations in the feature space

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JCT-VC Dataset

A dataset of images and videos for video compression research.

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VTM-10

The proposed multi-density attention network for loop filtering in video compression.

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BVI-DVC

Video compression is a basic requirement for consumer and professional video applications alike. Video coding standards such as H.264/AVC and H.265/HEVC are widely deployed in...

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JVET Common Test Conditions

The dataset used in the paper is a collection of video sequences with varying resolutions and bit depths, used for training and testing the proposed video compression framework.

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ViSTRA2 Dataset

The dataset used in the paper is a collection of video sequences with varying resolutions and bit depths, used for training and testing the proposed video compression framework.

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UVG

The UVG dataset comprises 16 video sequences of 3840×2160, recorded at 120 frames per second.

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360o Video Dataset

The dataset used in the paper is a 360o video dataset, which is used to evaluate the performance of the proposed distortion-aware loop filtering model.

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Vimeo-90K

The proposed StableVSR is built upon a pre-trained Latent Diffusion Model (LDM) for single image super-resolution (SISR). We use Stable Diffusion ×4 Upscaler (SD×4Upscaler)2. It...

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Low-Rank-Based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compre...

The proposed non-local adaptive loop filter for HEVC.

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Residual Highway Convolutional Neural Networks for In-Loop Filtering in HEVC

The proposed RHCNN model for in-loop filtering in HEVC.

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A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC

The proposed MIF approach enhances the quality of each encoded frame leveraging multiple adjacent frames.

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21 datasets found