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

IBVC: Interpolation-driven B-frame Video Compression

ruhig6/ibvc 25 Sep 2023

Learned B-frame video compression aims to adopt bi-directional motion estimation and motion compensation (MEMC) coding for middle frame reconstruction.

0
25 Sep 2023

PacketGame: Multi-Stream Packet Gating for Concurrent Video Inference at Scale

2023-MindSpore-4/Code13 journal 2023

The resource efficiency of video analytics workloads is critical for large-scale deployments on edge nodes and cloud clusters.

0
01 Sep 2023

Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases

maftej/iisnerf 14 Aug 2023

These experiments include NeRF-based video compression techniques and using NeRFs for 3D motion estimation in the context of collision avoidance.

1
14 Aug 2023

Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression

KUIS-AI-Tekalp-Research-Group/video-compression 28 Jun 2023

The lack of ability to adapt the motion compensation model to video content is an important limitation of current end-to-end learned video compression models.

20
28 Jun 2023

HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation

hmkx/hinerv NeurIPS 2023

Learning-based video compression is currently a popular research topic, offering the potential to compete with conventional standard video codecs.

29
16 Jun 2023

The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong

fau-lms/bjontegaard 25 Apr 2023

Using additional supporting points inbetween standard points defined by parameters such as the quantization parameter, we assess the interpolation error of the Bj{\o}ntegaard-Delta (BD) calculus and its impact on the final BD value.

20
25 Apr 2023

Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method

yixuan423/compressed-face-videos-quality-assessment 14 Apr 2023

In this paper, we introduce the large-scale Compressed Face Video Quality Assessment (CFVQA) database, which is the first attempt to systematically understand the perceptual quality and diversified compression distortions in face videos.

9
14 Apr 2023

HNeRV: A Hybrid Neural Representation for Videos

haochen-rye/hnerv CVPR 2023

Such embedding largely limits the regression capacity and internal generalization for video interpolation.

107
05 Apr 2023

MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding

bowenl0218/mmvc_video_codec CVPR 2023

In this paper, we propose multi-mode video compression (MMVC), a block wise mode ensemble deep video compression framework that selects the optimal mode for feature domain prediction adapting to different motion patterns.

15
05 Apr 2023

Low-complexity Deep Video Compression with A Distributed Coding Architecture

xinjie-q/distributed-dvc 21 Mar 2023

This has inspired a distributed coding architecture aiming at reducing the encoding complexity.

25
21 Mar 2023