NDLI: QoE-aware priority marking and traffic management for H.264/SVC-based mobile video delivery

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QoE-aware priority marking and traffic management for H.264/SVC-based mobile video delivery

Content Provider	ACM Digital Library
Author	Kellerer, Wolfgang Fu, Bo Staehle, Dirk Kunzmann, Gerald Steinbach, Eckehard
Abstract	Mobile network operators experience a rapid increase of traffic in their networks that is mainly driven by the growing popularity of mobile video applications. They partly compensate this traffic increase by improved transmission technology and network densification. Supporting videos at high quality during peak traffic, however, does not scale economically. Instead, means are required for the operator to adapt the bitrate of the videos to the current network situation. Scalable Video Coding (SVC) provides a convenient way to adapt the bitrates of video streams in the network by dropping bit stream layers. From resource utilization point of view, the limitation of SVC is that the layer structure does not allow an operator to compare the importance of two layers of different videos with respect to their contribution to the user-perceived video quality. In existing solutions, the limitation is resolved by implementing sophisticated optimization algorithms at network bottlenecks for optimal rate adaptation among multiple videos. We take a different approach to eliminate the overhead of signaling and implementations introduced by the optimizations at bottlenecks while targeting at the same optimization goal. We propose a QoE-aware priority marking algorithm for SVC-based video streaming. In our approach, SVC layers are mapped to a finite number of priorities which are marked in video packets to be transmitted with video streams. This mapping takes into account the data rate and the quality contribution of a layer among layers of a group of videos. At network bottlenecks, rate adaptation simply follows the pre-determined priorities without further optimization needed. Our results show that the QoE-aware priority marking algorithm indeed overcomes the limitations of existing SVC packet marking and has the potential to achieve a QoE-optimal resource utilization in wireless access networks.
Starting Page	173
Ending Page	180
Page Count	8
File Format	PDF
ISBN	9781450323710
DOI	10.1145/2512840.2512865
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Svc Qoe Mobile video streaming Priority marking
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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