SCOPE AND OVERVIEW

As we continue to develop our ability to generate, process, and display video at increasingly higher quality, we confront the challenge of streaming the same video to the end user. Device heterogeneity in terms of size and processing capabilities combined with the lack of timing guarantees of packet switching networks is forcing the industry to adopt streaming solutions capable of dynamically adapting the video quality in response to resource variability in the end-to-end transport chain. For example, many vendors and providers are already trialing their own proprietary adaptive video streaming platforms while MPEG has recently ratified a standard, called Dynamic Adaptive Streaming over HTTP (DASH), to facilitate widespread deployment of such technology. However, how to best adapt the video to ensure highest user quality of experience while consuming the minimum network resources poses many fundamental challenges, which is attracting the attention of researchers from both academia and industry. The goal of this workshop is to bring together researchers and developers working on all aspects of adaptive video streaming with special emphasis on innovative concepts backed up by experimental evidence.

Topics of interest include, but not limited to:
- New metrics for measuring user quality of experience (QoE) for adaptive video streaming
- Solutions for improving streaming QoE for high-speed user mobility
- Analysis, modelling, and experimentation of DASH
- Exploitation of user contexts for improving efficiency of adaptive streaming
- Big data analytics to assess viewer experience of adaptive video
- Efficient and fair bandwidth sharing techniques for bottleneck links supporting multiple adaptive video streams
- Network functions to assist and improve adaptive video streaming
- Synchronization issues in adaptive video streaming (inter-media, inter-device/destination)
- Methods for effective simulation or emulation of large scale adaptive video streaming platforms
- Cloud-assisted adaptive video streaming including encoding, transcoding, and adaptation in general
- Attack scenarios and solutions for adaptive video streaming
- Energy-efficient adaptive streaming for resource-constraint mobile devices
- Reproducible research in adaptive video streaming: datasets, evaluation methods, benchmarking, standardization efforts, open source tools
- Novel use cases and applications in the area of adaptive video streaming

The workshop is considered an integral part of the CoNEXT 2014 conference. All workshop papers will be published in the same set of proceedings as the main conference and available on the ACM Digital Library. At least one author of each accepted papers is expected to present his/her paper at the workshop.

SUBMISSION GUIDELINES

Each submission must be a single PDF file no longer than six (6) pages in length (in two-column, 10-point format) including references. Papers must include the author name and affiliation for single-blind peer reviewing by the program committee. Detailed instructions on how to submit a paper will be available from the workshop website.

IMPORTANT DATES

Submission of full papers: 29 August 2014 (20:59 PDT) - firm deadline!
Notification of acceptance: 30 September 2014
Camera ready due: 24 October 2014
Workshop date: 02 December 2014

Workshop Committee

TPC Co-chairs

Mahbub Hassan, University of New South Wales, Australia
Ali C. Begen, Cisco, Canada
Christian Timmerer, Alpen-Adria-Universität Klagenfurt, Austria

TPC Members

Alexander Raake, Deutsche Telecom Labs
Carsten Griwodz, University of Oslo/Simula
Chao Chen, Qualcomm Inc.
Colin Perkins, University of Glasgow
Constantine Dovrolis, Georgia Tech
Grenville Armitage, Swinburne University of Technology
Imed Bouazizi, Samsung
Kuan-Ta Chen, Academia Sinica, Taiwan
Magda El Zarki, University of California Irvine
Manzur Murshed, Federation University Australia
Pal Halvorsen, University of Oslo/Simula
Polychronis Koutsakis,Technical University of Crete
Roger Zimmerman, National University of Singapore
Saverio Mascolo, University of Bari
Shervin Shirmohammadi, University of Ottawa
Victor Leung, University of British Columbia