ACM SIGMM Interest List


Options: Use Forum View

Use Proportional Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Cise Midoglu <[log in to unmask]>
Reply To:
Cise Midoglu <[log in to unmask]>
Mon, 8 Feb 2021 11:33:02 +0100
text/plain (5 kB) , text/html (23 kB)
Special track

OTTMA: Over-the-Top Multimedia Analytics

along with

MMEDIA 2021, The Thirteenth International Conference on Advances in

April 18, 2021 to April 22, 2021 - Porto, Portugal

With the rising prevalence of online multimedia applications, corresponding
analytics practices and platforms have also grown in number and diversity.

OTT (Over-the-Top) multimedia analytics platforms present data analytics
related to OTT media streaming content and services (audio/video), and are
most commonly deployed as monitoring tools by broadcasters/content
providers for purposes such as getting a deeper understanding of their
viewers (identifying viewers' likes, dislikes and preferences, values,
routines and habits to increase engagement), monetization (decisions
related to formats and pricing), and troubleshooting (detecting anomalies,
predicting and preventing bottlenecks).

However, OTT analytics tools are also especially important for research
studies, and could be used for evaluating different aspects of the
end-to-end multimedia delivery chain. Such tools allow for the benchmarking
of different devices, platforms, players, streaming algorithms, network
operators, codecs, and types of content under a variety of context
conditions, as well as the rapid testing and evaluation of new video
players and streaming algorithms. The scientific and objective analysis of
these dimensions, with respect to meaningful, explainable, and
peer-reviewed performance metrics, provides a more transparent and end-user
friendly multimedia streaming ecosystem.

This track aims to bring together researchers and industry to share their
findings and experiences related to OTT multimedia analytics, as well as
discuss current and emerging technologies that facilitate the deployment
and use of OTT analytics platforms on a global scale. It emphasizes the
importance of an active developer community support around OTT multimedia
streaming products and encourages joint efforts to build inclusive feedback
mechanisms among interested parties. Prospective authors are encouraged to
provide open datasets and/or open-source software along with their
submissions to foster scientific reproducibility.

Topics include, but not limited to:

- Design and implementation of OTT analytics platforms (APIs and
scalability, integrations, cross-platform compatibility, native SDKs,
benchmarking dimensions, etc.)

- OTT analytics best practices

- OTT analytics and big data

- OTT analytics and the cloud

- OTT analytics and AI

- OTT analytics and dynamic User Generated Content (UGC)

- Evaluation of OTT analytics metrics

- Device, platform, player, streaming algorithm, network, codec, and
content benchmarks using OTT analytics

- UX performance and QoE measurements using OTT analytics

- Anomaly detection and root cause identification using OTT analytics

- Metadata enrichment for OTT analytics

- Visualization for OTT analytics

- Predictive OTT analytics and forecasting

- End-user privacy in OTT analytics platforms

- Integrating societally relevant metrics into OTT analytics

- Alternatives to monetization-based incentives to use OTT analytics

- Academic and open-source initiatives for building OTT analytics platforms

- Usability of commercial OTT analytics platforms in research

Contribution Types

- Regular papers [in the proceedings, digital library]

- Short papers (work in progress) [in the proceedings, digital library]

- Posters: two pages [in the proceedings, digital library]

- Posters: slide only [slide-deck posted on]

- Presentations: slide only [slide-deck posted on]

- Demos: two pages [posted on]

Important Dates

Inform the Chair or Coordinator: As soon as you decide to contribute

Submission: March 4, 2021

Notification: March 20, 2021

Registration: April 1, 2021

Camera ready: April 1, 2021

Note: The submission deadline is somewhat flexible, providing arrangements
are made ahead of time with the chair.

Paper Format

- See:

- Before submission, please check and comply with the editorial rules:


- Extended versions of selected papers will be published in IARIA Journals:

- Print proceedings will be available via Curran Associates, Inc.:

- Articles will be archived in the free access ThinkMind Digital Library:

Paper Submission

Please select Track Preference as OTTMA


- Each accepted paper needs at least one full registration, before the
camera-ready manuscript can be included in the proceedings.

- Registration fees are available at


Chair: Cise Midoglu [log in to unmask]

Logistics: [log in to unmask]

This call for papers as PDF:

Cise Midoglu
Simula Research Laboratory



[log in to unmask]

If you don't already have a password for the LISTSERV.ACM.ORG server, we recommend
that you create one now. A LISTSERV password is linked to your email
address and can be used to access the web interface and all the lists to
which you are subscribed on the LISTSERV.ACM.ORG server.

To create a password, visit:


Once you have created a password, you can log in and view or change your
subscription settings at: