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Multimedia Edge Computing [article]

Zhi Wang, Wenwu Zhu, Lifeng Sun, Han Hu, Ge Ma, Ming Ma, Haitian Pang, Jiahui Ye, Hongshan Li
2021 arXiv   pre-print
We provide both a retrospective view of recent rapid migration (resp. merge) of cloud multimedia to (resp. and) edge-aware multimedia and insights on the fundamental guidelines for designing multimedia  ...  learning over such data using the joint edge and cloud infrastructure and using evolutional strategies like reinforcement learning and online learning at edge devices to optimize the quality of experience for  ...  Datasets used for this study covers how users view videos in the mobile video streaming app has been recorded in 2 weeks.  ... 
arXiv:2105.02409v1 fatcat:26eyjzgg2na2lep2crb4cfhs7m

FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations [article]

Emna Baccour and Aiman Erbad and Kashif Bilal and Amr Mohamed and Mohsen Guizani and Mounir Hamdi
2020 arXiv   pre-print
Then, having these IDs and using the API, we can collect the fine grained metadata of public videos that might be useful for the research community.  ...  In this dataset, we stored more than 1,500,000 live stream records collected in June and July 2018. These data include public live videos from all over the world.  ...  One of the possible usages of the data is the multi-cloud resource allocation. In fact, in live streaming systems, the crowdsourcers upload their videos in real time.  ... 
arXiv:2003.10820v1 fatcat:xik3ociejnh23jyce5hp32bobq

A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations

Mojtaba Khomami Abadi, Azad Abad, Ramanathan Subramanian, Negar Rostamzadeh, Elisa Ricci, Jagannadan Varadarajan, Nicu Sebe
2014 Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia - CrowdMM '14  
Since compiling annotated training data for dynamic emotion prediction is tedious, we employ crowdsourcing for the same.  ...  We propose Multi-task learning (MTL) for time-continuous or dynamic emotion (valence and arousal) estimation in movie scenes.  ...  Video Player: To provide an uninterrupted video stream for workers with low bandwidth, we uploaded all movie clips onto YouTube.  ... 
doi:10.1145/2660114.2660116 dblp:conf/mm/AbadiASRRVS14 fatcat:hflu42qanjdsnpz2sdtpqchmb4

Real-Time Video Analytics: The Killer App for Edge Computing

Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodik, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath, Sudipta Sinha
2017 Computer  
reality scenarios) or to actuate some other system (such as intersection traffic lights). 2) Bandwidth: High-definition video requires large bandwidth (5Mbps or even 25Mbps for 4K video) and streaming  ...  According to a 2015 report by IHS on the installed base for video surveillance equipment, there is a camera installed for every 29 people on the planet, with mature markets like the US having a camera  ...  It then uploads only the most important frames from the different video streams to the cloud for further processing.  ... 
doi:10.1109/mc.2017.3641638 fatcat:axnay55cong4vaqcratepofpa4

Modeling Image Appeal Based on Crowd Preferences for Automated Person-Centric Collage Creation

Vassilios Vonikakis, Ramanathan Subramanian, Jonas Arnfred, Stefan Winkler
2014 Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia - CrowdMM '14  
Since compiling annotated training data for dynamic emotion prediction is tedious, we employ crowdsourcing for the same.  ...  We propose Multi-task learning (MTL) for time-continuous or dynamic emotion (valence and arousal) estimation in movie scenes.  ...  Video Player: To provide an uninterrupted video stream for workers with low bandwidth, we uploaded all movie clips onto YouTube.  ... 
doi:10.1145/2660114.2660126 dblp:conf/mm/VonikakisSAW14 fatcat:usll3y2oivarxib2qxhonsjwfq

D5.1 Report on vertical use cases performance metrics

Achim Autenrrieth, Andrus Bogdan-Mihai, Nicklas Eiselt, Albert Rafel, Filippo Cugini (Co-Editor), Francesco Fresi, Ramon Casellas, Johannes Karl Fischer, Robert Emmerich, Jorge E. López De Vergara, Oscar Gonzales De Dios (Co-Editor), Marco Quagliotti (+9 others)
2018 Zenodo  
The following three demos were identified: (1) Crowdsourced video broadcasts; (2) Real-time low-latency object tracking; and (3) Portable Demo on Media and Entertainment.  ...  This document then provides the KPIs to meet the requirements of the three selected demos, providing feedback and inputs for specific data and control plane technical solutions to be designed and validated  ...  i) Crowdsourced video broadcasts Crowdsourced video streaming is a paradigm shift in how video content is generated and shared across scalable networks.  ... 
doi:10.5281/zenodo.2586731 fatcat:oi2lmrmfxvcgvfwu2774pmugtm

Crowdsourcing Lost Cultural Heritage

E. K. Stathopoulou, A. Georgopoulos, G. Panagiotopoulos, D. Kaliampakos
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Sometimes they also assist studies for their reconstruction.  ...  To overcome the missing data problem, crowdsourced imagery is used to create a visual representation of lost cultural heritage objects.  ...  "ITN-DCH: Initial Training Network for Digital Cultural Heritage: Projecting our Past to the Future."  ... 
doi:10.5194/isprsannals-ii-5-w3-295-2015 fatcat:qkudrpffyraxtospoay454uqji

Providing Crowd-Sourced and Real-Time Media Services through an NDN-Based Platform [chapter]

G. Piro, V. Ciancaglini, R. Loti, L. A. Grieco, L. Liquori
2015 Modeling and Processing for Next-Generation Big-Data Technologies  
The diffusion of social networks and broadband technologies is letting emerge large online communities of people that stay always in touch with each other and exchange messages, thoughts, photos, videos  ...  To this end, the present book chapter aims at investigating the design of a network architecture, based on the emerging Named Data Networking (NDN) paradigm, providing crowdsourced real-time media contents  ...  Adaptive retransmission scheme for real-video streaming [80] .  ... 
doi:10.1007/978-3-319-09177-8_17 fatcat:ngoogi2f4va57fwyztc5iy24xm

Data-driven Approaches for Social Video Distribution [article]

Zhi Wang
2015 arXiv   pre-print
In this paper, we first presents the challenges in social-aware video delivery. Then, we present a principal framework for data-driven social video delivery approaches.  ...  The Internet has recently witnessed the convergence of online social network services and online video services: users import videos from content sharing sites, and propagate them along the social connections  ...  For example, the online video clip "Gangnam Style", attracted over 1 billion views in 6 months after it is uploaded, due to its propagation over popular online social networks including Twitter and Facebook  ... 
arXiv:1506.08125v1 fatcat:rbyt42swxvfu7ko37tvvkgl6ge

Crowdsourcing Based Performance Analysis of Mobile User Heterogeneous Services

Lamine Amour, Abdulhalim Dandoush
2022 Electronics  
In this work, we first collect a dataset for three popular Internet services: on-demand video streaming, web browsing and file downloading at the user terminal level.  ...  Finally, we discuss the prediction quality of HD video streaming service (i.e., launch time, the bitrate and the MOS) based only on the physical indicators.  ...  Figure 4 shows the correlation results for the video streaming service.  ... 
doi:10.3390/electronics11071011 fatcat:3ap232dg3vbllf7636yf5pcoci

Towards hybrid cloud-assisted crowdsourced live streaming

Cong Zhang, Jiangchuan Liu, Haiyang Wang
2016 Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video - NOSSDAV '16  
Crowdsourced Live Streaming (CLS), most notably Twitch.tv, has seen explosive growth in its popularity in the past few years.  ...  In such systems, any user can lively broadcast video content of interest to others, e.g., from a game player to many online viewers.  ...  INTRODUCTION Crowdsourced live streaming (CLS) has emerged as the powerful, real-time means of video broadcasting over the Internet.  ... 
doi:10.1145/2910642.2910644 dblp:conf/nossdav/ZhangLW16 fatcat:7ijkenk65fb3hat6oyak4stlou

RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos

Emna Baccour, Aiman Erbad, Amr Mohamed, Fatima Haouari, Mohsen Guizani, Mounir Hamdi
2020 Future generations computer systems  
With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have witnessed  ...  As the optimization is not adequate for online serving, we propose a real-time approach based on Reinforcement Learning (RL), namely RL-OPRA, which adaptively learns to optimize the allocation and serving  ...  The crowdsourcing live streaming services have unique properties compared to single and multi-source broadcasting.  ... 
doi:10.1016/j.future.2020.06.038 fatcat:ljocsvdztbcudb4czuw2k7cera

Knowledge discovery over community-sharing media: From signal to intelligence

Winston Hsu, Tao Mei, Rong Yan
2009 2009 IEEE International Conference on Multimedia and Expo  
and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation.  ...  The explosive growth of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed multimedia resources, which bring profound social impacts to the society  ...  Such (context) graphs have shown effective for keyword-based photo [17] or video [18] [19] search by efficient random-walk-like methods.  ... 
doi:10.1109/icme.2009.5202775 dblp:conf/icmcs/HsuMY09 fatcat:nzblrwkfjfdcvfhlc65pvkotbi

UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content [article]

Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
2021 arXiv   pre-print
UGC video processing, transcoding, and streaming.  ...  Accordingly, there is a great need for accurate video quality assessment (VQA) models for UGC/consumer videos to monitor, control, and optimize this vast content.  ...  Advances in powerful and affordable mobile devices and cloud computing techniques, combined with significant advances in video streaming have made it easy for most consumers to create, share, and view  ... 
arXiv:2005.14354v2 fatcat:bjixvu7ryza4vglncr6v23eal4

The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events

Steven Bohez, Glenn Daneels, Lander Van Herzeele, Niels Van Kets, Sam Decrock, Matthias De Geyter, Glenn Van Wallendael, Peter Lambert, Bart Dhoedt, Pieter Simoens, Steven Latré, Jeroen Famaey
2016 Multimedia tools and applications  
of 8 050 people. 90 % of those videos were uploaded within 6.8 minutes.  ...  The video upload is prioritized by matching requests of the event director with video metadata, while taking into account the available wireless network capacity.  ...  [15] , live user video streams are clustered automatically and in real-time by line-of-sight, using multi-view stereo reconstruction and inertial sensing to reason about the relative position and orientation  ... 
doi:10.1007/s11042-016-4257-6 fatcat:kpnbwlnw5fanll52gnjvdy7gv4
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