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attention

some attention implements

beach.github.io

dvc

DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

m-lvc_cvpr2020

models

Models and examples built with TensorFlow

nachos-1

ref https://homes.cs.washington.edu/~tom/nachos/

nachos-2

NachOS with new file system

opendvc

pytorchvideocompression

PyTorch implementation and benchmark of Video Compression

rlvc

tensorflow-machine-learning-cookbook-second-edition

TensorFlow Machine Learning Cookbook Second Edition, published by Packt

video-compression-net

A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frames to reduce the bit rate along with the minimization of distortions in decoded frames. We implement a neural network version of conventional video compression approach and encode the redundant frames with lower number of bit.

video_compression