Existing and future media ecosystems need to cope with the ever-increasing heterogeneity of networks, devices, and user characteristics collectively referred to as (usage) context. The key to address this problem is media adaptation to various and dynamically changing contexts in order to provide a service quality that is regarded as satisfactory by the end user. The adaptation can be performed in many ways and at different locations, e.g., at the edge and within the network resulting in a substantial number of issues to be integrated within a media ecosystem. This paper describes research challenges, key innovations, target research outcomes, and achievements so far for edge and in-network media adaptation by introducing the concept of Scalable Video Coding (SVC) tunneling.
Los Alamitos, CA, USA
Grafl, Michael
Timmerer, Christian
Waltl, Markus
Xilouris, George
Zotos, Nikolaos
Renzi, Daniele
Battista, Stefano
Chernilov, Alex
Proceedings of the 2012 IEEE International Conference on Telecommunications and Multimedia (TEMU 2012)
http://dx.doi.org/10.1109/TEMU.2012.6294710
Pallis, Evangelos
Zacharopoulos, Vassilios
Kourtis, Anastasios
distributed adaptation decision-taking; SVC tunneling; research challenges; in-network adaptation; content-aware networking
EN
Heraklion, Greece
jul
6
https://www.itec.aau.at/bib/files/TEMU2012_mgrafl.pdf
IEEE
TEMU
2012.07.31
registered
Distributed Adaptation Decision-Taking Framework and Scalable Video Coding Tunneling for Edge and In-Network Media Adaptation
2012
The MPEG-21 standard defines a framework for the interoperable delivery and consumption of multimedia content. Within this framework the adaptation of content plays a vital role in order to support a variety of terminals and to overcome the limitations of the heterogeneous access networks. In most cases the multimedia content can be adapted by applying different adaptation operations that result in certain characteristics of the content. Therefore, an instance within the framework has to decide which adaptation operations have to be performed to achieve a satisfactory result. This process is known as adaptation decision-taking and makes extensive use of metadata describing the possible adaptation operations, the usage environment of the consumer, and constraints concerning the adaptation. Based on this metadata a mathematical optimization problem can be formulated and its solution yields the optimal parameters for the adaptation operations. However, the metadata is represented in XML resulting in a verbose and inefficient encoding. In this paper, an architecture for an Adaptation Decision-Taking Engine (ADTE) is introduced. The ADTE operates both on XML metadata and on metadata encoded with MPEG's Binary Format for Metadata (BiM) enabling an efficient metadata processing by separating the problem extraction from the actual optimization step. Furthermore, several optimization algorithms which are suitable for scalable multimedia formats are reviewed and extended where it was appropriate
Bellingham, Washington, USA
Kofler, Ingo
Timmerer, Christian
Hutter, Andreas
Sanahuja, Francesc
Proceedings of SPIE-IS&T Electronic Imaging Multimedia Computing and Networking Conference (MMCN)
Volume 6504
Zimmermann, Roger
Griwodz, Carsten
9780819466174
Adaptation Decision-Taking, MPEG-21, Digital Item Adaptation, Binary Format for Metadata (BiM)
EN
San Jose, CA, USA
jan
65040J-1-65040J-8
https://www.itec.aau.at/bib/files/MMCN2007EfficientMPEG21basedAdaptationDecisionTaking.pdf
SPIE
MMCN
2007.02.01
registered
Efficient MPEG-21-based Adaptation Decision-Taking for Scalable Multimedia Content
2007