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360video_metrics

Some metrics for measuring the quality of 360 degree video

5gdataset

In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.

ai-mag

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

awesome-360-processing

Awesome works and resources are relevant to 360 processing.

awesome-super-resolution

Collect super-resolution related papers, data, repositories

cnn-lstm-360-video-viewport-prediction

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

dash.js

A reference client implementation for the playback of MPEG DASH via Javascript and compliant browsers.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

hotdash

Code for the paper "HotDASH: Hotspot Aware Adaptive Video Streaming using Deep Reinforcement Learning" in IEEE ICNP 2018

leejinxi.github.io

lihang-code

《统计学习方法》的代码实现

longterm360fov

Very Long Term Field of View Prediction for 360-degree Video Streaming

meet-deadline-requirements-challenge

ACM MULTIMEDIA 2021 Grand Challenge

nas_public

This is an official repository of the paper, "Neural Adaptive Content-aware Internet Video Delivery"

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

panoproject

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

pitree

Practical Implementation of ABR Algorithms Using Decision Trees (ACM MM 2019)

pix2pix

Image-to-image translation with conditional adversarial nets

plato

Plato is a system for viewport adaptation based bitrate adaptive VR video streaming.

puffer

Puffer is a free live TV streaming website and a research study at Stanford using machine learning to improve video streaming

server

preprocess 360° video through ffmpeg and bento4

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

webrtc-knowledge-base

WebRTC学习资料整理，包括博客、文章、开源项目