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

Benchmarks

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Datasets

Latest papers with code

Efficient Video Compression via Content-Adaptive Super-Resolution

6 Apr 2021AdaptiveVC/SRVC

SRVC decodes the video by passing the decompressed low-resolution video frames through the (time-varying) super-resolution model to reconstruct high-resolution video frames.

SUPER-RESOLUTION VIDEO COMPRESSION

5
06 Apr 2021

Lossless compression with state space models using bits back coding

18 Mar 2021j-towns/ssm-code

We generalize the 'bits back with ANS' method to time-series models with a latent Markov structure.

TIME SERIES VIDEO COMPRESSION

5
18 Mar 2021

B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction

22 Jan 2021HoangTrinh/B_DRRN

In this paper, we design a neural network to enhance the quality of the compressed frame by leveraging the block information, called B-DRRN (Deep Recursive Residual Network with Block information).

VIDEO COMPRESSION

4
22 Jan 2021

Ultra-low bitrate video conferencing using deep image animation

1 Dec 2020Goluck-Konuko/dac

In this work we propose a novel deep learning approach for ultra-low bitrate video compression for video conferencing applications.

IMAGE ANIMATION VIDEO COMPRESSION

3
01 Dec 2020

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

271
05 Nov 2020

Hierarchical Autoregressive Modeling for Neural Video Compression

ICLR 2021 privateyoung/Youtube-NT

Recent work by Marino et al. (2020) showed improved performance in sequential density estimation by combining masked autoregressive flows with hierarchical latent variable models.

DENSITY ESTIMATION LATENT VARIABLE MODELS VIDEO COMPRESSION

4
19 Oct 2020

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

29 Jun 2020RenYang-home/OpenDVC

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

85
29 Jun 2020

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

24 Jun 2020RenYang-home/OpenDVC

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

85
24 Jun 2020

Remote Photoplethysmography: Rarely Considered Factors

27 Apr 2020Simplar/Effect-of-temporal-window-on-HR-estimation

Second factor is rolling shutter effect which generates tiny phase shift of the same PPG signal in different parts of the frame caused by progressive scanning.

VIDEO COMPRESSION

4
27 Apr 2020

M-LVC: Multiple Frames Prediction for Learned Video Compression

CVPR 2020 JianpingLin/M-LVC_CVPR2020

To compensate for the compression error of the auto-encoders, we further design a MV refinement network and a residual refinement network, taking use of the multiple reference frames as well.

MS-SSIM SSIM VIDEO COMPRESSION

40
21 Apr 2020