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The submission deadline for the ALIS 2022 workshop has been extended to
July 8, 2022.
CALL FOR PAPERS Workshop on Artificial Intelligence for Live Video
Streaming (ALIS2022)
https://athena.itec.aau.at/events/alis22/
colocated with ACM Multimedia 2022
10 – 14 October 2022, Lisbon, Portugal.
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Delivering video content from a video server to viewers over the
Internet is time-consuming in the streaming workflow and has to be
handled to offer an uninterrupted streaming experience. The delay is
particularly problematic for live streaming. Some streaming-based
applications such as virtual events, online learning, webinars, and
all-hands meetings require low latency for their operation. Video
streaming is ubiquitous in a plethora of applications, devices, and
fields. Delivering high Quality of Experience (QoE) to the streaming
viewers is of crucial importance, while the requirement to process a
large amount of data in order to satisfy such QoE cannot be handled with
human-constrained possibilities. Artificial Intelligence (AI) and
Machine Learning (ML) techniques can be leveraged to calculate expected
network data rates, predict requested video contents and thus, perform
content-aware encoding, predict flash crowd formation that impacts the
overall network traffic, enable personalized content recommendations,
understand a user’s viewing behavior, and enable more informed video
caching decisions, and in several other ways. The first workshop on
Artificial Intelligence for Video Streaming (ALIS2022) aims to bring
together researchers and developers to satisfy the data-intensive
processing requirements and QoE challenges of live video streaming
applications through leveraging AI-based approaches. We warmly invite
the submission of original, previously unpublished papers addressing key
issues in this area, but not limited to:
* AI-based resource allocation for live streaming
* Using AI/ML techniques for optimizing Interactive Streaming and
User-Generated Content
* The tradeoff between QoE enhancement and network overhead: AI
approaches
* Using AI/ML at the network edge and the cloud for supporting video
streaming
* AI/ML-enabled caching of video chunks
* Experience and lessons learned by deploying AI/ML algorithms for
large-scale network-assisted video streaming
* Design, analysis, and evaluation of AI-based Adaptive Bitrate (ABR)
algorithms for video streaming
* Network aspects in video streaming: cloud computing, virtualization
techniques, network control, and management, including SDN, NFV, and
network programmability
* AI/ML-based solutions for supporting streaming applications
high-speed user mobility
* Analysis, modeling, and experimentation of WebRTC, Low-Latency
DASH, and Low-Latency CMAF for DASH
* Reproducible research in adaptive video streaming: datasets,
evaluation methods, benchmarking, standardization efforts,
open-source tools
* AI/ML-based techniques for live streaming in 5G and 6G networks
* AI/ML-based techniques for improving infotainment QoE in automotive
applications.
IMPORTANT DATES
* Submission deadline (extended): July 8, 2022, 23:59 AoE (click here
<https://alis22.hotcrp.com/> for a new submission))
* Notifications of acceptance: 29 July 2022
* Camera-ready submission: 21 August 2022
Co-Chairs
* Farzad Tashtarian, Alpen-Adria-Universität Klagenfurt, Austria
* Eirini Liotou, Institute of Communication & Computer Systems (ICCS),
Athens, Greece
* Mohsen Amini Salehi, University of Louisiana, USA
* Christian Timmerer, Alpen-Adria-Universität Klagenfurt, Austria
Keynote Speech
* The workshop keynote speech will be delivered by Prof. Amr Rizk.
Any questions regarding submission issues should be directed to
[log in to unmask]
--
Dr. Farzad Tashtarian,
Post-Doctoral Researcher at ITEC,
Alpen-Adria-Universität Klagenfurt, Austria
http://tashtarian.net
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