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Title: GitHub - SINRG-Lab/Video-Lit: Systems and Networking related Video research published in major venues of Computer Science.

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https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#videoliterature
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-streaming
Swift: Adaptive Video Streaming with Layered Neural Codecshttps://www3.cs.stonybrook.edu/~mdasari/papers/nsdi-2022-paper.pdf
SenSei: Aligning Video Streaming Quality with Dynamic User Sensitivityhttps://www.usenix.org/system/files/nsdi21-zhang.pdf
Learning in situ: a randomized experiment in video streaminghttps://arxiv.org/pdf/1906.01113.pdf
Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Codinghttp://jhc.sjtu.edu.cn/~bjiang/papers/Liu_MM2020_Grad.pdf
PERM: Neural Adaptive Video Streaming with Multi-path Transmissionhttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
End-to-End Transport for Video QoE Fairnesshttp://web.cs.ucla.edu/~ravi/CS219_F19/papers/minerva.pdf
PiTree: Practical Implementation of ABR Algorithms Using Decision Treeshttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
Codehttps://github.com/transys-project/pitree/
Datasethttps://github.com/transys-project/pitree-dataset/
Requet: Real-Time QoE Detection for Encrypted YouTube Traffichttps://wimnet.ee.columbia.edu/wp-content/uploads/2019/02/MMsys19_Requet.pdf
Datahttps://github.com/Wimnet/RequetDataSet
Oboe: Auto-tuning Video ABR Algorithms to Network Conditionshttps://engineering.purdue.edu/~isl/papers/sigcomm18-final128.pdf
Neural Adaptive Content-aware Internet Video Deliveryhttps://www.usenix.org/system/files/osdi18-yeo.pdf
ABR Streaming of VBR-encoded Videos: Characterization, Challenges, and Solutionshttps://www-users.cs.umn.edu/~fengqian/paper/vbr_conext18.pdf
Understanding Video Management Planeshttps://engineering.purdue.edu/~isl/papers/imc2018.pdf
From Theory to Practice: Improving Bitrate Adaptation in the DASH Reference Playerhttps://www.akamai.com/us/en/multimedia/documents/technical-publication/improving-bitrate-adaptation-in-the-dash-reference-player.pdf
VideoNOC: assessing video QoE for network operators using passive measurementshttps://www.cc.gatech.edu/~tmangla3/papers/VideoNOC_MMSys2018.pdf
Disk|Crypt|Net: rethinking the stack for high-performance video streaminghttps://www.cl.cam.ac.uk/~rnw24/papers/201708-sigcomm-diskcryptnet.pdf
Neural Adaptive Video Streaming with Pensievehttps://people.csail.mit.edu/hongzi/content/publications/Pensieve-Sigcomm17.pdf
Codehttps://github.com/hongzimao/pensieve
Pytheas: Enabling Data-Driven QoE Optimization Using Group-Based Exploration-Exploitationhttps://www.usenix.org/system/files/conference/nsdi17/nsdi17-jiang_0.pdf
Dissecting VOD Services for Cellular: Performance, Root Causes and Best Practiceshttps://conferences.sigcomm.org/imc/2017/papers/imc17-final111.pdf
CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Predictionhttps://users.ece.cmu.edu/~vsekar/papers/sigcomm16_cs2p.pdf
MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipathhttp://www.research.att.com/ecms/dam/sites/labs_research/content/publications/VA_MP-DASH_Adaptive_Video_Streaming.pdf
DASH2M: Exploring HTTP/2 for Internet Streaming to Mobile Deviceshttps://dl.acm.org/citation.cfm?id=2964313
BOLA: Near-Optimal Bitrate Adaptation for Online Videoshttps://arxiv.org/pdf/1601.06748.pdf
A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTPhttps://users.ece.cmu.edu/~vsekar/papers/sigcomm15_mpcdash.pdf
Can Accurate Predictions Improve Video Streaming in Cellular Networks?http://www.cs.jhu.edu/~xinjin/files/HotMobile15_VideoStreaming.pdf
A Buffer-Based Approach to Rate Adaptation: Evidence from a Large Video Streaming Servicehttp://yuba.stanford.edu/~nickm/papers/sigcomm2014-video.pdf
Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVEhttps://conferences.sigcomm.org/co-next/2012/eproceedings/conext/p97.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#volumetric-video
Split Rendering for Mixed Reality: Interactive Volumetric Video in Actionhttps://www.hhi.fraunhofer.de/fileadmin/PDF/VCA/MC/siggraphxr20.pdf
LESSONS LEARNT DURING ONE YEAR OF COMMERCIAL VOLUMETRIC VIDEO PRODUCTIONhttps://www.ibc.org/download?ac=10506
GROOT: A Real-time Streaming System of High-Fidelity Volumetric Videoshttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
ViVo: Visibility-Aware Mobile Volumetric Video Streaminghttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-telephony
NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Deviceshttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
OnRL: Improving Mobile Video Telephony via Online Reinforcement Learninghttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
LiveNAS - Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learninghttps://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit/blob/master
Jigsaw: Robust Live 4K Video Streaminghttp://www.cs.utexas.edu/~jianhe/jigsaw-mobicom19.pdf
Learning to Coordinate Video Codec with Transport Protocol for Mobile Video Telephonyhttps://dl.acm.org/citation.cfm?id=3345430
Vantage: optimizing video upload for time-shifted viewing of social live streamshttps://dl.acm.org/citation.cfm?id=3342064
Salsify: Low-Latency Network Video Through Tighter Integration Between a Video Codec and a Transport Protocolhttps://cs.stanford.edu/~keithw/salsify-paper.pdf
Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threadshttps://www.usenix.org/system/files/conference/nsdi17/nsdi17-fouladi.pdf
POI360: Panoramic Mobile Video Telephony over LTE Cellular Networkshttp://xyzhang.ucsd.edu/papers/XXie_CoNEXT17_POI360.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#360-degree-video
PARIMA: Viewport Adaptive 360-Degree Video Streaminghttps://www.researchgate.net/publication/349704480_PARIMA_Viewport_Adaptive_360-Degree_Video_Streaming
PARSEC: Streaming 360-degree Videos using Super-Resolutionhttps://www3.cs.stonybrook.edu/~mdasari/assets/pdf/infocom20.pdf
Codehttps://github.com/VideoForage/Super-Resolution
Flocking-based Live Streaming of 360-degree Videohttps://www.researchgate.net/publication/341703327_Flocking-based_live_streaming_of_360-degree_video
ClusTile: Toward Minimizing Bandwidth in 360-degree Video Streaminghttp://www.cs.binghamton.edu/~yaoliu/publications/infocom18-clustile.pdf
Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perceptionhttps://people.cs.uchicago.edu/~junchenj/docs/360StreamingQuality_SIGCOMM.pdf
Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Deviceshttps://www-users.cs.umn.edu/~fengqian/paper/flare_mobicom18.pdf
Rubiks: Practical 360-Degree Streaming for Smartphoneshttp://www.cs.utexas.edu/~jianhe/rubiks_mobisys.pdf
CLS: A Cross-user Learning based System for Improving QoE in 360-degree Video Adaptive Streaminghttps://dl.acm.org/citation.cfm?id=3240556
Favor: Fine-Grained Video Rate Adaptationhttps://www.cs.utexas.edu/~mubashir/papers/favor_mmsys.pdf
BAS-360: Exploring Spatial and Temporal Adaptability in 360-degree Videos over HTTP/2http://www.cs.binghamton.edu/~yaoliu/publications/infocom18-bas360.pdf
Dynamic Adaptive Streaming for Multi-Viewpoint Omnidirectional Videoshttps://ir.cwi.nl/pub/27893/27893.pdf
An HTTP/2-Based Adaptive Streaming Framework for 360° Virtual Reality Videoshttps://biblio.ugent.be/publication/8541796/file/8541800.pdf
360ProbDASH: Improving QoE of 360 Video Streaming Using Tile-based HTTP Adaptive Streaminghttps://dl.acm.org/citation.cfm?id=3123266.3123291
OpTile: Toward Optimal Tiling in 360-degree Video Streaminghttp://www.cs.binghamton.edu/~yaoliu/publications/mm17-optile.pdf
It’s All Around You: Exploring 360° Video iewing Experiences on Mobile Deviceshttp://www.fahim-kawsar.net/papers/Broeck.MM2017-Camera.pdf
Adaptive 360-Degree Video Streaming using Scalable Video Codinghttps://www.utdallas.edu/~afshin/publication/360.pdf
A Measurement Study of Oculus 360 Degree Video Streaminghttp://www.greenorbs.org/people/lzh/papers/%5BMMSys'17%5D%20360%20Video.pdf
Optimal Set of 360-Degree Videos for Viewport-Adaptive Streaminghttps://dl.acm.org/citation.cfm?id=3123372
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#architectural-support-for-video-streaming
Warehouse-Scale Video Acceleration: Co-design and Deployment in the Wildhttps://www.gwern.net/docs/cs/2021-ranganathan.pdf
Deja View: Spatio-Temporal Compute Reuse for Energy-Efficient 360° VR Video Streaminghttps://conferences.computer.org/isca/pdfs/ISCA2020-4QlDegUf3fKiwUXfV0KdCm/466100a241/466100a241.pdf
Distilling the Essence of Raw Video to Reduce Memory Usage and Energy at Edge Deviceshttps://dl.acm.org/doi/10.1145/3352460.3358298
Race-To-Sleep + Content Caching + Display Caching: A Recipe for Energy-eficient Video Streaming on Handheldshttps://dl.acm.org/doi/10.1145/3123939.3123948
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-analytics
Enabling Edge-Cloud Video Analytics for Robotic Applicationshttps://www.cse.ust.hk/~ywanggf/public/files/runespoor-infocom21.pdf
Server-Driven Video Streaming for Deep Learning Inferencehttps://people.cs.uchicago.edu/~junchenj/docs/DDS-Sigcomm20.pdf
Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analyticshttp://web.cs.ucla.edu/~harryxu/papers/li-sigcomm20.pdf
Scaling Video Analytics on Constrained Edge Nodeshttps://hyeontaek.com/papers/ff-sysml2019.pdf
AWStream: adaptive wide-area streaming analyticshttps://awstream.github.io/paper/awstream.pdf
Chameleon: Scalable Adaptation of Video Analyticshttp://people.cs.uchicago.edu/~junchenj/docs/Chameleon_SIGCOMM_CameraReady.pdf
Focus: Querying Large Video Datasets with Low Latency and Low Costhttps://www.usenix.org/system/files/osdi18-hsieh.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-classification
YouTube-8M: A Large-Scale Video Classification Benchmarkhttps://arxiv.org/pdf/1609.08675.pdf
Beyond Short Snippets: Deep Networks for Video Classificationhttps://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Ng_Beyond_Short_Snippets_2015_CVPR_paper.pdf
Large-scale Video Classification with Convolutional Neural Networkshttps://static.googleusercontent.com/media/research.google.com/en//pubs/archive/42455.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-streaming-using-layered-video-coding
Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Codinghttp://jhc.sjtu.edu.cn/~bjiang/papers/Liu_MM2020_Grad.pdf
LBP: Robust Rate Adaptation Algorithm for SVC Video Streaminghttps://arxiv.org/pdf/1805.00041.pdf
Layer-Assisted Adaptive Video Streaminghttps://dl.acm.org/doi/pdf/10.1145/3210445.3210454
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#layered-video-coding
Layered Coding vs. Multiple Descriptions for Video Streaming over Multiple Pathshttps://web.stanford.edu/~bgirod/pdfs/ChakareskiACM03.pdf
Two-Layer Coding of Video Signals for VBR Networkshttps://web.stanford.edu/~bgirod/pdfs/ChakareskiACM03.pdf
Multiple Description Codinghttps://github.com/mdasari823/Multiple-Description-Coding
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-coding-with-deep-learning
Efficient Video Compression via Content-Adaptive Super-Resolutionhttps://openaccess.thecvf.com/content/ICCV2021/papers/Khani_Efficient_Video_Compression_via_Content-Adaptive_Super-Resolution_ICCV_2021_paper.pdf
Codehttps://github.com/AdaptiveVC/SRVC
Online-trained Upsampler for Deep Low Complexity Video Compressionhttps://openaccess.thecvf.com/content/ICCV2021/papers/Klopp_Online-Trained_Upsampler_for_Deep_Low_Complexity_Video_Compression_ICCV_2021_paper.pdf
ELF-VC: Efficient Learned Flexible-Rate Video Codinghttps://arxiv.org/pdf/2104.14335.pdf
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancementhttps://arxiv.org/pdf/2003.01966.pdf
Learned Video Compressionhttps://arxiv.org/pdf/1811.06981.pdf
DVC: An End-to-end Deep Video Compression Frameworkhttps://github.com/GuoLusjtu/DVC
Deep Learning-Based Video Coding: A Review and A Case Studyhttps://arxiv.org/pdf/1904.12462.pdf
Video Compression through Image Interpolationhttps://www.philkr.net/papers/2018-09-02-eccv/2018-09-02-eccv.pdf
Codehttps://github.com/chaoyuaw/pytorch-vcii
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#saliency-aware-video-coding
Revisiting Video Saliency: A Large-scale Benchmark and a New Modelhttps://zpascal.net/cvpr2018/Wang_Revisiting_Video_Saliency_CVPR_2018_paper.pdf
A semiautomatic saliency model and its application to video compressionhttp://compression.ru/video/savam/pdf/A_semiautomatic_saliency_model_and_its_application_to_video_compression_ICCP_2017_0.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#vrar
Towards Retina-Quality VR Video Streaming: 15 ms Could Save You 80% of Your Bandwidthhttps://arxiv.org/pdf/2108.12720.pdf
Edge Assisted Real-time Object Detection for Mobile Augmented Realityhttp://www.winlab.rutgers.edu/~luyang/papers/mobicom19_augmented_reality.pdf
Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Renderinghttp://www.winlab.rutgers.edu/~gruteser/papers/mobisys18_low_latency_vr.pdf
Creating the Perfect Illusion : What will it take to Create Life-Like Virtual Reality Headsets?https://www.microsoft.com/en-us/research/uploads/prod/2018/05/perfectillusion.pdf
Furion: Engineering High-Quality Immersive Virtual Reality on Today’s Mobile Deviceshttp://www.yongcui.org/lunwen/Furion.pdf
HEVC-compliant Tile-based Streaming of Panoramic Video for Virtual Reality Applicationshttps://dl.acm.org/citation.cfm?id=2967292
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#3d-video-streaming-in-the-early-days
Packetization Interval of Haptic Media in Networked Virtual Environmentshttps://dl.acm.org/doi/pdf/10.1145/1103599.1103625?casa_token=a0SmS8nytnAAAAAA:MLUUQr4eBc2341SMwJEewfCYQh2L7WfjyG-leD4FxalMfe0QtKGNdnWKKqLHE6OS2gpe9z-NVwv9Fg
OpenPING: A Reflective Middleware for the Construction of Adaptive Networked Game Applicationshttps://dl.acm.org/doi/pdf/10.1145/1016540.1016548?casa_token=4KZprKt__scAAAAA:9mpnI3Vd-TQ7U-RPdXnQmeKUkkZvvH829Cpjh4OSKJUofnSdAoMMhZE8lnDveiQQvUPQAI_g45g9Bw
Scalable Peer-to-Peer Networked Virtual Environmenthttps://dl.acm.org/doi/pdf/10.1145/1016540.1016552?casa_token=dWTmlxqx1ZYAAAAA:E7SwHpIJbUP0Dyp6YsQmXCAP1ld8S1soal0rQqGUz4Z5E4N7vupO9TF5oKYATTm9tDSU6K9zRNIi1w
Real-Time Streaming of Point-Based 3D Videohttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1310060&casa_token=1jQtTa8i6toAAAAA:gCap-HdAQTNk0sDb1yPmcCJ6_iUvseX5h6Mkhh65QV4fb3utZZwYFNYsAr6ve6ZgcJ-Z3Yfu-Q&tag=1
The Metaverse: a networked collection of inexpensive, self-configuring, immersive environmentshttp://diglib.eg.org/handle/10.2312/EGVE.IPT_EGVE2003.115-124
ATM network impairment valuation of an experimental 3D videophone for virtual reality telecommunication systemhttps://ieeexplore.ieee.org/document/997286
Beyond Audio and Video: Multimedia Networking Support for Distributed, lmmersive Virtual Environmentshttps://ieeexplore.ieee.org/document/952468
Virtual reality telecommunication system-a person to person multimedia communication systemhttps://ieeexplore.ieee.org/abstract/document/891853
Virtual reality movies-real-time streaming of 3D objectshttps://www.sciencedirect.com/science/article/pii/S1389128699000973?casa_token=YQhjsVjXOuoAAAAA:OUchkRQiJNtEcLfw7hqVB_1XZ1H1K4Ugbg2G5zN4WY2_usTG2sYjRNt_8_qTnvjtSmY7WhzALkM
A Distributed 3D Graphics Libraryhttp://www.cs.columbia.edu/~bm/siggraph98.pdf
The DIVEBONE - An Application-Level Network Architecture for Internet-Based CVEshttps://dl.acm.org/doi/pdf/10.1145/323663.323672
DWTP—an Internet protocol for shared virtual environmentshttps://dl.acm.org/doi/10.1145/271897.274370
Adaptive _ Distributed Multimedia: A Concept for haracterising Co-cognitive Virtual Reality Systemshttp://repository.ias.ac.in/85183/1/47-p.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#video-streaming-in-the-early-days
The Feasibility of Supporting Large-Scale Live Streaming Applications with Dynamic Application End-Pointshttps://www.conviva.com/wp-content/uploads/2017/09/the-feasability-of-supporting-live-streaming-with-dynamic-application-endpoints.pdf
An Analysis of Live Streaming Workloads on the Internethttps://www.akamai.com/content/dam/site/en/documents/research-paper/an-analysis-of-live-streaming-workloads-on-the-internet-technical-publication.pdf
Measurement Study of Low-bitrate Internet Video Streaminghttps://www.land.ufrj.br/laboratory/repository/upfiles/inproceedings/meas-low-bit-video.pdf
An Empirical Study of RealVideo Performance Across the Internethttps://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.118.6973&rep=rep1&type=pdf
Analysis, Modeling and Generation of Self-Similar VBR Video Traffichttp://www.cs.kent.edu/~xzou/NetProj/Ref/040124164326272342.pdf
On buffer requirements for store-and-forward video on demand service circuitshttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=188525
Video On Demand: Is It Feasible?https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=116506
Video on Demand: A Wideband Service or Myth?https://www.semanticscholar.org/paper/Video-on-Demand%3A-A-Wideband-Service-or-Myth-Judice-Addeo/ced4fa8baa5dd935aae67a9b352a7b6e637b6c00
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#journals
A Survey on Bitrate Adaptation Schemes for Streaming Media over HTTPhttps://www.comp.nus.edu.sg/~bentaleb/files/papers/journal/ABRSurvey.pdf
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#tools
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#multimedia-libraries
FFMPEGhttps://ffmpeg.org/
GPAChttps://github.com/gpac/gpac
x265https://github.com/videolan/x265
OBS Studiohttps://obsproject.com/
SVT Encodershttps://github.com/OpenVisualCloud
Saliency-aware Video Codechttps://github.com/msu-video-group/x264_saliency_mod
SHVChttps://hevc.hhi.fraunhofer.de/shvc
SVChttps://avc.hhi.fraunhofer.de/svc
VVChttps://jvet.hhi.fraunhofer.de/
Open3DGChttps://github.com/KhronosGroup/glTF/wiki/Open-3D-Graphics-Compression
https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#datasets
360-Degree Video Datasethttps://github.com/360VidStr/A-large-dataset-of-360-video-user-behaviour
Readme https://patch-diff.githubusercontent.com/SINRG-Lab/Video-Lit#readme-ov-file
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