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Multimedia communications and networking

Interactive Low Latency Video Streaming Of Volumetric Content


Low latency video streaming of volumetric content is an emerging technology to enable immersive media experiences on mobile devices. Unlike 3DoF scenarios where users are restricted to changes of their head orientation at a single position, volumetric content allows users to move freely within the scene in 6DoF. Although the processing power of mobile devices has increased considerably, streaming volumetric content directly to such devices is still challenging. High-quality volumetric content requires significant data rate and network bandwidth.

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Authors:
Dimitri Podborski, Serhan Gül, Jangwoo Son, Gurdeep Singh Bhullar, Robert Skupin, Yago Sanchez, Thomas Schierl, Cornelius Hellge
Submitted On:
14 May 2020 - 8:00am
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icassp2020_podborski.pdf

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[1] Dimitri Podborski, Serhan Gül, Jangwoo Son, Gurdeep Singh Bhullar, Robert Skupin, Yago Sanchez, Thomas Schierl, Cornelius Hellge, "Interactive Low Latency Video Streaming Of Volumetric Content", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5290. Accessed: Sep. 25, 2020.
@article{5290-20,
url = {http://sigport.org/5290},
author = {Dimitri Podborski; Serhan Gül; Jangwoo Son; Gurdeep Singh Bhullar; Robert Skupin; Yago Sanchez; Thomas Schierl; Cornelius Hellge },
publisher = {IEEE SigPort},
title = {Interactive Low Latency Video Streaming Of Volumetric Content},
year = {2020} }
TY - EJOUR
T1 - Interactive Low Latency Video Streaming Of Volumetric Content
AU - Dimitri Podborski; Serhan Gül; Jangwoo Son; Gurdeep Singh Bhullar; Robert Skupin; Yago Sanchez; Thomas Schierl; Cornelius Hellge
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5290
ER -
Dimitri Podborski, Serhan Gül, Jangwoo Son, Gurdeep Singh Bhullar, Robert Skupin, Yago Sanchez, Thomas Schierl, Cornelius Hellge. (2020). Interactive Low Latency Video Streaming Of Volumetric Content. IEEE SigPort. http://sigport.org/5290
Dimitri Podborski, Serhan Gül, Jangwoo Son, Gurdeep Singh Bhullar, Robert Skupin, Yago Sanchez, Thomas Schierl, Cornelius Hellge, 2020. Interactive Low Latency Video Streaming Of Volumetric Content. Available at: http://sigport.org/5290.
Dimitri Podborski, Serhan Gül, Jangwoo Son, Gurdeep Singh Bhullar, Robert Skupin, Yago Sanchez, Thomas Schierl, Cornelius Hellge. (2020). "Interactive Low Latency Video Streaming Of Volumetric Content." Web.
1. Dimitri Podborski, Serhan Gül, Jangwoo Son, Gurdeep Singh Bhullar, Robert Skupin, Yago Sanchez, Thomas Schierl, Cornelius Hellge. Interactive Low Latency Video Streaming Of Volumetric Content [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5290

Intra Prediction in the Emerging VVC Video Coding

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Authors:
Alexey Filippov, Vasily Rufitskiy, Jianle Chen, Elena Alshina
Submitted On:
31 March 2020 - 7:42pm
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[1] Alexey Filippov, Vasily Rufitskiy, Jianle Chen, Elena Alshina, "Intra Prediction in the Emerging VVC Video Coding", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5088. Accessed: Sep. 25, 2020.
@article{5088-20,
url = {http://sigport.org/5088},
author = {Alexey Filippov; Vasily Rufitskiy; Jianle Chen; Elena Alshina },
publisher = {IEEE SigPort},
title = {Intra Prediction in the Emerging VVC Video Coding},
year = {2020} }
TY - EJOUR
T1 - Intra Prediction in the Emerging VVC Video Coding
AU - Alexey Filippov; Vasily Rufitskiy; Jianle Chen; Elena Alshina
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5088
ER -
Alexey Filippov, Vasily Rufitskiy, Jianle Chen, Elena Alshina. (2020). Intra Prediction in the Emerging VVC Video Coding. IEEE SigPort. http://sigport.org/5088
Alexey Filippov, Vasily Rufitskiy, Jianle Chen, Elena Alshina, 2020. Intra Prediction in the Emerging VVC Video Coding. Available at: http://sigport.org/5088.
Alexey Filippov, Vasily Rufitskiy, Jianle Chen, Elena Alshina. (2020). "Intra Prediction in the Emerging VVC Video Coding." Web.
1. Alexey Filippov, Vasily Rufitskiy, Jianle Chen, Elena Alshina. Intra Prediction in the Emerging VVC Video Coding [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5088

MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS


This is an overview poster on recent research of visual analysis algorithms in visual sensor networks. With the following abstract:

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Authors:
Catarina Brites, Fernando Pereira, João Ascenso
Submitted On:
19 March 2016 - 7:43am
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Poster_ICASSP16_nmonteiro.pdf

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[1] Catarina Brites, Fernando Pereira, João Ascenso, "MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/801. Accessed: Sep. 25, 2020.
@article{801-16,
url = {http://sigport.org/801},
author = {Catarina Brites; Fernando Pereira; João Ascenso },
publisher = {IEEE SigPort},
title = {MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS},
year = {2016} }
TY - EJOUR
T1 - MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS
AU - Catarina Brites; Fernando Pereira; João Ascenso
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/801
ER -
Catarina Brites, Fernando Pereira, João Ascenso. (2016). MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS. IEEE SigPort. http://sigport.org/801
Catarina Brites, Fernando Pereira, João Ascenso, 2016. MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS. Available at: http://sigport.org/801.
Catarina Brites, Fernando Pereira, João Ascenso. (2016). "MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS." Web.
1. Catarina Brites, Fernando Pereira, João Ascenso. MULTI-VIEW DISTRIBUTED SOURCE CODING OF BINARY FEATURES FOR VISUAL SENSOR NETWORKS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/801

UAV-Assisted Broadband Network for Emergency and Public Safety Communications


Communication during emergency situations is crucial to saving lives. Rescue workers at an emergency scene need to be able to coordinate and communicate effectively. Despite the vast improvements in personal communication networks, public safety communication has been lacking. A recent bill from Congress and the FCC has provided the groundwork for the creation of a nationwide broadband public safety communication network. This advancement in technology will allow rescue workers to receive critical information updates in all forms of media (e.g., video, text and voice).

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Authors:
Danda B. Rawat
Submitted On:
23 February 2016 - 1:44pm
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Grodi_Rawat_GlobalSIP2015.pdf

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[1] Danda B. Rawat, "UAV-Assisted Broadband Network for Emergency and Public Safety Communications", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/426. Accessed: Sep. 25, 2020.
@article{426-15,
url = {http://sigport.org/426},
author = {Danda B. Rawat },
publisher = {IEEE SigPort},
title = {UAV-Assisted Broadband Network for Emergency and Public Safety Communications},
year = {2015} }
TY - EJOUR
T1 - UAV-Assisted Broadband Network for Emergency and Public Safety Communications
AU - Danda B. Rawat
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/426
ER -
Danda B. Rawat. (2015). UAV-Assisted Broadband Network for Emergency and Public Safety Communications. IEEE SigPort. http://sigport.org/426
Danda B. Rawat, 2015. UAV-Assisted Broadband Network for Emergency and Public Safety Communications. Available at: http://sigport.org/426.
Danda B. Rawat. (2015). "UAV-Assisted Broadband Network for Emergency and Public Safety Communications." Web.
1. Danda B. Rawat. UAV-Assisted Broadband Network for Emergency and Public Safety Communications [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/426

Adaptive Bitrate Regulation for Scalable Video Applications


Rate control is very crucial for scalable video applications as it controls encoding bitrates so as to meet channel bandwidths while obtaining optimum encoding quality. In this paper, we proposed a new inter-layer rate control algorithm for H.264/SVC. One unique feature is that an effective switched model is proposed to predict the bit estimation used for encoding inter frames either from the previous frame of the current layer or from the current frame of the previous layer.

Paper Details

Authors:
Jin Yang and Reese Childers
Submitted On:
23 February 2016 - 1:44pm
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GlobalSIP_2015_Presenetation.pdf

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[1] Jin Yang and Reese Childers, "Adaptive Bitrate Regulation for Scalable Video Applications", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/405. Accessed: Sep. 25, 2020.
@article{405-15,
url = {http://sigport.org/405},
author = {Jin Yang and Reese Childers },
publisher = {IEEE SigPort},
title = {Adaptive Bitrate Regulation for Scalable Video Applications},
year = {2015} }
TY - EJOUR
T1 - Adaptive Bitrate Regulation for Scalable Video Applications
AU - Jin Yang and Reese Childers
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/405
ER -
Jin Yang and Reese Childers. (2015). Adaptive Bitrate Regulation for Scalable Video Applications. IEEE SigPort. http://sigport.org/405
Jin Yang and Reese Childers, 2015. Adaptive Bitrate Regulation for Scalable Video Applications. Available at: http://sigport.org/405.
Jin Yang and Reese Childers. (2015). "Adaptive Bitrate Regulation for Scalable Video Applications." Web.
1. Jin Yang and Reese Childers. Adaptive Bitrate Regulation for Scalable Video Applications [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/405