% Categories: MMC & Keywords: Adaptation Decision-Taking
% Encoding: utf-8
@InProceedings{Grafl2012_TEMU,
  author = {Grafl, Michael and Timmerer, Christian and Waltl, Markus and Xilouris, George and Zotos, Nikolaos and Renzi, Daniele and Battista, Stefano and Chernilov, Alex},
  booktitle = {Proceedings of the 2012 {IEEE} International Conference on Telecommunications and Multimedia ({TEMU} 2012)},
  title = {Distributed Adaptation Decision-Taking Framework and Scalable Video Coding Tunneling for Edge and In-Network Media Adaptation},
  year = {2012},
  address = {Los Alamitos, CA, USA},
  editor = {Pallis, Evangelos and Zacharopoulos, Vassilios and Kourtis, Anastasios},
  month = {jul},
  pages = {6},
  publisher = {IEEE},
  series = {TEMU},
  abstract = {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.},
  doi = {http://dx.doi.org/10.1109/TEMU.2012.6294710},
  keywords = {distributed adaptation decision-taking; SVC tunneling; research challenges; in-network adaptation; content-aware networking},
  language = {EN},
  location = {Heraklion, Greece},
  pdf = {https://www.itec.aau.at/bib/files/TEMU2012_mgrafl.pdf},
  talkdate = {2012.07.31},
  talktype = {registered}
}
@InProceedings{Kofler2007,
  author = {Kofler, Ingo and Timmerer, Christian and Hutter, Andreas and Sanahuja, Francesc},
  booktitle = {Proceedings of {SPIE-IS\&T} Electronic Imaging Multimedia Computing and Networking Conference ({MMCN})},
  title = {Efficient MPEG-21-based Adaptation Decision-Taking for Scalable Multimedia Content},
  year = {2007},
  address = {Bellingham, Washington, USA},
  editor = {Zimmermann, Roger and Griwodz, Carsten},
  month = jan,
  pages = {65040J-1-65040J-8},
  publisher = {SPIE},
  series = {MMCN},
  abstract = {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},
  edition = {Volume 6504},
  isbn13 = {9780819466174},
  keywords = {Adaptation Decision-Taking, MPEG-21, Digital Item Adaptation, Binary Format for Metadata (BiM)},
  language = {EN},
  location = {San Jose, CA, USA},
  pdf = {https://www.itec.aau.at/bib/files/MMCN2007EfficientMPEG21basedAdaptationDecisionTaking.pdf},
  talkdate = {2007.02.01},
  talktype = {registered}
}