NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures

Shah, Rajiv Ratn; Hefeeda, Mohamed; Zimmermann, Roger; Harras, Khaled A.; Hsu, Cheng-Hsin; Yu, Yi

doi:10.1007/978-3-319-27671-7_9

Cited by 16 publications

(2 citation statements)

References 17 publications

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“…This is evident from recent surveys focusing on critical investigation of node and network level virtualization in WSNs for IoT [20,21] and applications [22][23][24][25]. Different levels of abstraction have been considered for the same purpose including four layers [8], five layers [2], and hierarchical layers [9].…”

Section: Virtualization In Wsns For Iot: the Contribution Areamentioning

confidence: 99%

Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

Kaiwartya

Abdullah

Cao

et al. 2018

IEEE Internet Things J.

Self Cite

109

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Section: Virtualization In Wsns For Iot: the Contribution Areamentioning

confidence: 99%

Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

Kaiwartya

Abdullah

Cao

et al. 2018

IEEE Internet Things J.

Self Cite

109

View full text Add to dashboard Cite

“…Finally, these existing algorithms are built for cellular networks and do not account for the issues and opportunities specific to the Wi-Fi network that is deployed on-site. More similar to our work is NEWSMAN [22], which aims at uploading user-generated newsreports in places with very weak network infrastructure using so-called adaptive middleboxes. These middleboxes provide a short-range wireless network and perform upload scheduling taking into account the varying network conditions as well as video transcoding parameters.…”

Section: Traffic Scheduling In Dense Wireless Networkmentioning

confidence: 99%

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

Bohez

Daneels

Herzeele

et al. 2016

Multimed Tools Appl

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Recording videos with smartphones at large-scale events such as concerts and festivals is very common nowadays. The se videos register the atmosphere of the event as it is experienced by the crowd and offer a perspective that is hard to capture by the professional cameras installed throughout the venue. In this article, we present a framework to collect videos from smartphones in the public and blend these into a mosaic that can be readily mixed with professional camera footage and shown on displays during the event. The video upload is prioritized by matching requests of the event director with video metadata, while taking into account the available wireless network capacity. The proposed framework's main novelty is its scalability, supporting the real-time transmission, processing and display of videos recorded by hundreds of simultaneous users in ultra-dense Wi-Fi environments, as well as its proven integration in commercial production environments. The framework has been extensively validated in a controlled lab setting with up to 1 000 clients as well as in a field trial where 1 183 videos were collected from 135 participants recruited from an audience of 8 050 people. 90 % of those videos were uploaded within 6.8 minutes.

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Introduction

Shah¹,

Zimmermann²

2017

Multimodal Analysis of User-Generated Multimedia Content

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NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures

Cited by 16 publications

References 17 publications

Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

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

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