[visionlist] CFP - MMM 2019 Special Session: Multimedia Datasets for Repeatable Experimentation (MDRE)

[dnductien at gmail.com]

Apologies for cross-postings / Please send to interested colleagues

Call for Papers
Special Session on “Multimedia Datasets for Repeatable Experimentation (MDRE)"
MMM 2019 - 25th International Conference on Multimedia Modeling
January 8-11, 2019 @ Thessaloniki, Greece


Information retrieval and multimedia content access has a long history
of comparative evaluation and many of the advances in the area over
the past decade can be attributed to the availability of open datasets
that support comparative and repeatable experimentation. Sharing data
and code to allow other researchers to replicate research results is
needed in the multimedia modeling field and helps to improve the
performance of systems and the reproducibility of published papers.
The main focus in on datasets, and researchers within the multimedia
community are encouraged to submit their datasets to the MDRE special
session. Authors of relevant open-source experimental frameworks are
also encourage to submit their work. Authors are asked to provide a
paper describing the motivation, design, and usage of the dataset or
framework, as well as a brief summary of the experiments performed to
date, and are requested to highlight how this work useful to the
community.

Advantages to Authors:

The benefits for authors who successfully submit are:
- Accepted contributions will be included in the MMM conference
proceedings, as part of the Lecture Notes in Computer Science (LNCS)
series by Springer. Authors of selected  - MMM papers will be invited
to publish extended versions in a journal special issue.
- Accepted contributions will be listed in a recognized index of
multimedia datasets and frameworks, thereby increasing their
visibility.
- Authors of accepted contributions will be invited to present their
dataset (or framework) as part of the special session at MMM 2019.



Submissions:

Submissions will follow the exact same author guidelines of MMM 2019.
The conference proceedings will be published in the series of Lecture
Notes in Computer Science (LNCS) by Springer. Submissions must not
exceed 12 pages and must conform to the formatting instructions of
Springer Verlag, LNCS series, and adhere to the submission schedule.
Regular research paper submissions will be peer-reviewed in a
double-blind review process; thus, the submissions need to be properly
anonymized. Each contribution must be associated with one full
registration; only one contribution can be associated with each
registration.

Regarding the submission of a dataset, the authors should make it
available by providing a public URL for download, as mentioned above,
and agree to the link being maintained on an MMM datasets dedicated
site. All datasets must be licensed in such a manner that it can be
legally and freely used with all appropriate ethical approvals
completed. Authors are encouraged to prepare appropriate and helpful
documentation to accompany the dataset, including examples of how it
can be used by the community, examples of successful usage and
restrictions on usage. There are similar expectations for the
open-source frameworks.

More details: http://mmm2019.iti.gr/author-guidelines/


Dates:

Paper submission deadline: July 15, 2018
Notification of acceptance: September 17, 2018
Camera ready papers due: October 12, 2018
Author Registration: October 12, 2018
MMM 2019: January 8-11, 2019 (special session date to be decided)

More details: http://mmm2019.iti.gr/important-dates/


Session organizers:

- Cathal Gurrin (Dublin City University)
- Duc-Tien Dang-Nguyen (Dublin City University)
- Klaus Schoeffmann (Klagenfurt University)
- Björn Þór Jónsson (IT University of Copenhagen)
- Michael Riegler (Simula Research Laboratory)
- Luca Piras (University of Cagliari)

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Duc-Tien Dang-Nguyen
(Đặng Nguyễn Đức Tiến in Vietnamese)
dangnguyen at insight-centre.org
duc-tien.dang-nguyen at dcu.ie