VUG

Video-Lit

Systems and Networking related Video research published in major venues of Computer Science.

VQA-Deep-Learning

Video Quality Assessment using Deep Learning (CNN + LSTM)

swift

Adaptive Video Streaming with Layered Neural Codecs

SR360

Enhancing the video quality using super resolution and deep neural networks

Video-Codec-Evaluation

Repository for the Evaluation of ffmpeg Video Codecs on Quality Metrics - MS-SSIM, PSNR, and VMAF. Currently supports H264. H.265, VP9 and AV1. Extensible to other codecs, useful for RD plot analysis, studying the impact of encoding configuration on compression, and comparing Video Codecs.

AndroidSR

CNN-LSTM-360-Video-ViewPort-Prediction

An LSTM framework for predicting the user head movement prediction in 360 videos

Read-YUV-Video

Reading a raw YUV video file in python

SVC-Streaming

Scalable Video Streaming

VolumetricVideoCompression

Awesome-AR-VR

This repo contains the Systems and Networking related AR/VR research and tools.

Deep-Video-Compression

Video compression using deep neural networks

DSVC

deep scalable video coding