Video Compression

101 papers with code • 0 benchmarks • 3 datasets

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

Libraries

Use these libraries to find Video Compression models and implementations

VQ-NeRV: A Vector Quantized Neural Representation for Videos

magicffourier/vq-nerv 19 Mar 2024

This block incorporates a codebook mechanism to discretize the network's shallow residual features and inter-frame residual information effectively.

2
19 Mar 2024
1,017
29 Feb 2024

Neural Video Compression with Feature Modulation

microsoft/dcvc 27 Feb 2024

This results in a better learning of the quantization scaler and helps our NVC support about 11. 4 dB PSNR range.

298
27 Feb 2024

Extreme Video Compression with Pre-trained Diffusion Models

elesionkyrie/extreme-video-compression-with-prediction-using-pre-trainded-diffusion-models- 14 Feb 2024

The results showcase the potential of exploiting the temporal relations in video data using generative models.

107
14 Feb 2024

Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers

google/sandwiched_compression 8 Feb 2024

Through a variety of examples, we apply the sandwich architecture to sources with different numbers of channels, higher resolution, higher dynamic range, and perceptual distortion measures.

16
08 Feb 2024

Immersive Video Compression using Implicit Neural Representations

hmkx/mv-hinerv 2 Feb 2024

In this paper we, for the first time, extend their application to immersive (multi-view) videos, by proposing MV-HiNeRV, a new INR-based immersive video codec.

2
02 Feb 2024

Coordinate-Aware Modulation for Neural Fields

maincold2/CAM 25 Nov 2023

Experimental results demonstrate that CAM enhances the performance of neural representation and improves learning stability across a range of signals.

9
25 Nov 2023

Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN

lorenzoagnolucci/keyframes-gan 7 Nov 2023

Given that, in this context, the speaker is typically in front of the camera and remains the same for the entire duration of the transmission, we can maintain a set of reference keyframes of the person from the higher-quality I-frames that are transmitted within the video stream and exploit them to guide the visual quality improvement; a novel aspect of this approach is the update policy that maintains and updates a compact and effective set of reference keyframes.

12
07 Nov 2023

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

kiteretsu77/vcisr-official 2 Nov 2023

In this work, we for the first time, present a video compression-based degradation model to synthesize low-resolution image data in the blind SISR task.

25
02 Nov 2023