About

Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.

Source: Adversarial Video Compression Guided by Soft Edge Detection

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Datasets

Greatest papers with code

Compressed Video Action Recognition

CVPR 2018 chaoyuaw/pytorch-coviar

), we propose to train a deep network directly on the compressed video.

Ranked #14 on Action Classification on Charades (using extra training data)

ACTION CLASSIFICATION ACTION RECOGNITION VIDEO COMPRESSION

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

5 Nov 2020InterDigitalInc/CompressAI

This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.

IMAGE COMPRESSION MS-SSIM SSIM VIDEO COMPRESSION

Semantic Perceptual Image Compression using Deep Convolution Networks

27 Dec 2016iamaaditya/image-compression-cnn

Here, we present a powerful cnn tailored to the specific task of semantic image understanding to achieve higher visual quality in lossy compression.

IMAGE COMPRESSION OBJECT DETECTION VIDEO COMPRESSION

DVC: An End-to-end Deep Video Compression Framework

CVPR 2019 GuoLusjtu/DVC

Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information.

MS-SSIM OPTICAL FLOW ESTIMATION SSIM VIDEO COMPRESSION

Video Compression through Image Interpolation

ECCV 2018 chaoyuaw/pytorch-vcii

An ever increasing amount of our digital communication, media consumption, and content creation revolves around videos.

IMAGE INTERPOLATION VIDEO COMPRESSION

Switchable Temporal Propagation Network

ECCV 2018 Liusifei/UVC

Our approach is based on a temporal propagation network (TPN), which models the transition-related affinity between a pair of frames in a purely data-driven manner.

VIDEO COMPRESSION

A Unified End-to-End Framework for Efficient Deep Image Compression

9 Feb 2020liujiaheng/compression

Our EDIC method can also be readily incorporated with the Deep Video Compression (DVC) framework to further improve the video compression performance.

IMAGE COMPRESSION VIDEO COMPRESSION

OpenDVC: An Open Source Implementation of the DVC Video Compression Method

29 Jun 2020RenYang-home/HLVC

At the time of writing this report, several learned video compression methods are superior to DVC, but currently none of them provides open source codes.

MS-SSIM SSIM VIDEO COMPRESSION

Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

24 Jun 2020RenYang-home/HLVC

The experiments show that our approach achieves the state-of-the-art learned video compression performance in terms of both PSNR and MS-SSIM.

MS-SSIM SSIM VIDEO COMPRESSION

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

CVPR 2020 RenYang-home/HLVC

In our HLVC approach, the hierarchical quality benefits the coding efficiency, since the high quality information facilitates the compression and enhancement of low quality frames at encoder and decoder sides, respectively.

IMAGE COMPRESSION MS-SSIM SSIM VIDEO COMPRESSION