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

Latest papers without code

Spatiotemporal Entropy Model is All You Need for Learned Video Compression

13 Apr 2021

The framework of dominant learned video compression methods is usually composed of motion prediction modules as well as motion vector and residual image compression modules, suffering from its complex structure and error propagation problem.

IMAGE COMPRESSION MOTION PREDICTION MS-SSIM SSIM VIDEO COMPRESSION

Texture-aware Video Frame Interpolation

26 Feb 2021

Our study shows that video texture has significant impact on the performance of frame interpolation models and it is beneficial to have separate models specifically adapted to these texture classes, instead of training a single model that tries to learn generic motion.

TEXTURE CLASSIFICATION VIDEO COMPRESSION VIDEO FRAME INTERPOLATION

Does deep machine vision have just noticeable difference (JND)?

16 Feb 2021

Experimental results on classification tasks demonstrate that we successfully find and model the JND for deep machine vision.

NEURAL NETWORK SECURITY VIDEO COMPRESSION

Parallelized Rate-Distortion Optimized Quantization Using Deep Learning

11 Dec 2020

We train two classes of neural networks, a fully-convolutional network and an auto-regressive network, and evaluate each as a post-quantization step designed to refine cheap quantization schemes such as scalar quantization (SQ).

QUANTIZATION VIDEO COMPRESSION

CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement

18 Nov 2020

We propose a new Generative Adversarial Network for Compressed Video quality Enhancement (CVEGAN).

VIDEO COMPRESSION VIDEO ENHANCEMENT

Light Field Compression by Residual CNN Assisted JPEG

30 Sep 2020

For compression, we keep the LF's center view and use JPEG compression with 50% quality.

DEPTH ESTIMATION SSIM VIDEO COMPRESSION

Learning to Compress Videos without Computing Motion

29 Sep 2020

In this paper, we propose a new deep learning video compression architecture that does not require motion estimation, which is the most expensive element of modern hybrid video compression codecs like H. 264 and HEVC.

MOTION ESTIMATION MS-SSIM SSIM VIDEO COMPRESSION

Lossless White Balance For Improved Lossless CFA Image and Video Compression

19 Sep 2020

We propose to use this white balance as a pre-processing step to lossless CFA subsampled image/video compression, improving the overall coding efficiency of the raw sensor data.

VIDEO COMPRESSION

Video Compression with CNN-based Post Processing

16 Sep 2020

In recent years, video compression techniques have been significantly challenged by the rapidly increased demands associated with high quality and immersive video content.

VIDEO COMPRESSION

Improving Deep Video Compression by Resolution-adaptive Flow Coding

ECCV 2020

In this work, we propose a new framework called Resolution-adaptive Flow Coding (RaFC) to effectively compress the flow maps globally and locally, in which we use multi-resolution representations instead of single-resolution representations for both the input flow maps and the output motion features of the MV encoder.

OPTICAL FLOW ESTIMATION VIDEO COMPRESSION