research-article

MPEG-DASH enabling adaptive streaming with personalized commercial breaks and second screen scenarios

Authors:

Stefan Kaiser,

Stefan Pham,

Stefan ArbanowskiAuthors Info & Claims

EuroITV '13: Proceedings of the 11th European Conference on Interactive TV and Video

Pages 63 - 66

https://doi.org/10.1145/2465958.2465968

Published: 24 June 2013 Publication History

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Abstract

The growing demand for video streaming over the Web has increased the importance of the recently published MPEG standard Dynamic Adaptive Streaming over HTTP (MPEG-DASH). With MPEG-DASH, video delivery will be harmonized across the Internet by enabling consumption and transport of adaptive bitrate content.

Future opportunities that come with this technology are discussed in this paper as well as the challenges that have to be mastered. The discussion is done on the basis of proof of concept implementations. The topics deal with various aspects of MPEG-DASH deployment ranging from the fundamental content creation over applied adaptation to smart use cases like personalized commercial breaks or session mobility-enabled adaptive video streaming.

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Cited By

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Akgul TOzcan SIplik AToni LBegen AAlay ÖTimmerer C(2020)A cloud-based end-to-end server-side dynamic ad insertion platform for live contentProceedings of the 11th ACM Multimedia Systems Conference10.1145/3339825.3393584(361-364)Online publication date: 27-May-2020
https://dl.acm.org/doi/10.1145/3339825.3393584
Pham SKrauss CSilhavy DArbanowski S(2016)Personalized dynamic ad insertion with MPEG DASH2016 Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)10.1109/APMediaCast.2016.7878162(1-6)Online publication date: Nov-2016
https://doi.org/10.1109/APMediaCast.2016.7878162
Seema ASchwoebel LShah TMorgan JReisslein M(2015)WVSNP-DASH: Name-Based Segmented Video StreamingIEEE Transactions on Broadcasting10.1109/TBC.2015.240081661:3(346-355)Online publication date: Sep-2015
https://doi.org/10.1109/TBC.2015.2400816
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Index Terms

MPEG-DASH enabling adaptive streaming with personalized commercial breaks and second screen scenarios
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Information & Contributors

Information

Published In

EuroITV '13: Proceedings of the 11th European Conference on Interactive TV and Video

June 2013

188 pages

ISBN:9781450319515

DOI:10.1145/2465958

General Chair:
Paolo Paolini
Politecnico di Milano, Italy
,
Program Chairs:
Paolo Cremonesi
Politecnico di Milano, Italy
,
George Lekakos
Athens University of Economics and Business, Greece

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2013

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EuroITV '13

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Politecnico di Milano

EuroITV '13: 11th European Conference on Interactive TV and Video

June 24 - 26, 2013

Como, Italy

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EuroITV '13 Paper Acceptance Rate 21 of 58 submissions, 36%;

Overall Acceptance Rate 52 of 149 submissions, 35%

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Cited By

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Akgul TOzcan SIplik AToni LBegen AAlay ÖTimmerer C(2020)A cloud-based end-to-end server-side dynamic ad insertion platform for live contentProceedings of the 11th ACM Multimedia Systems Conference10.1145/3339825.3393584(361-364)Online publication date: 27-May-2020
https://dl.acm.org/doi/10.1145/3339825.3393584
Pham SKrauss CSilhavy DArbanowski S(2016)Personalized dynamic ad insertion with MPEG DASH2016 Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)10.1109/APMediaCast.2016.7878162(1-6)Online publication date: Nov-2016
https://doi.org/10.1109/APMediaCast.2016.7878162
Seema ASchwoebel LShah TMorgan JReisslein M(2015)WVSNP-DASH: Name-Based Segmented Video StreamingIEEE Transactions on Broadcasting10.1109/TBC.2015.240081661:3(346-355)Online publication date: Sep-2015
https://doi.org/10.1109/TBC.2015.2400816
Tan JLiang YYang W(2015)DASH Bitrate-Adaptation Based on Bandwidth and BufferProceedings of the 2015 Third International Conference on Robot, Vision and Signal Processing (RVSP)10.1109/RVSP.2015.62(232-235)Online publication date: 18-Nov-2015
https://dl.acm.org/doi/10.1109/RVSP.2015.62
Dubin RDvir AHadar OFrid TVesker A(2015)Novel ad insertion technique for MPEG-DASH2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)10.1109/CCNC.2015.7158038(582-587)Online publication date: Jan-2015
https://doi.org/10.1109/CCNC.2015.7158038
Ito MAntonello RSadok DFernandes S(2014)Network level characterization of adaptive streaming over HTTP applications2014 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC.2014.6912603(1-7)Online publication date: Jun-2014
https://doi.org/10.1109/ISCC.2014.6912603

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