Connectionists: [CFP] Special Session on "Explainability in Multimedia Analysis (ExMA)" at CBMI 2023

[Chiara Galdi]

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Apologies if you receive multiple copies of this announcement

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Special Session on
Explainability in Multimedia Analysis (ExMA)
Conference on Content-based Multimedia Indexing ( <https://cbmi2023.org/>
CBMI 2023)

September 20 - 22, Orleans, France

 <https://exma-cbmi.labri.fr/> https://exma-cbmi.labri.fr/

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About

The rise of machine learning approaches, and in particular deep learning,
has led to a significant increase in the performance of AI systems. However,
it has also raised the question of the reliability and explicability of
their predictions for decision-making (e.g., the black-box issue of the deep
models). Such shortcomings also raise many ethical and political concerns
that prevent wider adoption of this potentially highly beneficial
technology, especially in critical areas, such as healthcare, self-driving
cars or security. It is therefore critical to understand how their
predictions correlate with information perception and expert
decision-making. The objective of eXplainable AI (XAI) is to open this black
box by proposing methods to understand and explain how these systems produce
their decisions.


Among the multitude of relevant multimedia data, face information is an
important feature when indexing image and video content containing humans.
Annotations based on faces span from the presence of faces (and thus
persons), over localizing and tracking them, analyzing features (e.g.,
determining whether a person is speaking) to the identification of persons
from a pool of potential candidates or the verification of assumed
identities. Unlike many other types of metadata or features commonly used in
multimedia applications, the analysis of faces affects sensitive personal
information. This raises both legal issues, e.g. concerning data protection
and regulations in the emerging European AI regulation, as well as ethical
issues, related to potential bias in the system or misuse of these
technologies.

This special session focuses on AI-based explainability technologies in
multimedia analysis, and in particular on:
- the analysis of the influencing factors relevant for the final decision as
an essential step to understand and improve the underlying processes
involved;
- information visualization for models or their predictions;
- interactive applications for XAI;
- performance assessment metrics and protocols for explainability;
- sample-centric and dataset-centric explanations;
- attention mechanisms for XAI;
- XAI-based pruning;
- applications of XAI methods; and
- open challenges from industry or emerging legal frameworks.



This special session aims at collecting scientific contributions that will
help improve trust and transparency of multimedia analysis systems with
important benefits for society as a whole.

We invite the submission of long papers describing novel methods or their
adaptation to specific applications or short papers describing emerging work
or open challenges. The review process is single-blind, i.e. submissions do
not need to be anonymized.

 

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Paper submission
CBMI uses a single blind review process, i.e. papers do not need to be
anonymized.

The abstract and the keywords form the primary source for assigning papers
to reviewers. So make sure that they are a concise and complete summary of
your paper with sufficient information to let someone who doesn't read the
full paper know what it is about.

Paper lengths:
- Regular full papers: 6 pages, plus additional pages for the list of
references
- Regular short papers: 4 pages, plus additional pages for the list of
references
- See  <https://cbmi2023.org/paper-submission/>
https://cbmi2023.org/paper-submission/ for more information.

 

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Important dates
- Regular and special session paper submissions: April 12, 2023
- Notification of acceptance: June 1, 2023
- Camera ready: June 15, 2023
- Early registration: July 1, 2023
- Late Registration: August 15, 2023
- Conference dates: September 20 - 22, 2023

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Organisers:
- Chiara Galdi, EURECOM, France ( <mailto:Chiara.Galdi at eurecom.fr>
Chiara.Galdi at eurecom.fr)
- Werner Bailer, JOANNEUM RESEARCH, Austria (
<mailto:werner.bailer at joanneum.at> werner.bailer at joanneum.at)
- Romain Giot, University of Bordeaux, France (
<mailto:romain.giot at u-bordeaux.fr> romain.giot at u-bordeaux.fr)
- Romain Bourqui, University of Bordeaux, France (
<mailto:romain.bourqui at u-bordeaux.fr> romain.bourqui at u-bordeaux.fr)

 

 <https://exma-cbmi.labri.fr/> https://exma-cbmi.labri.fr/

 

 

Bien cordialement / Kind regards,

Chiara

 

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Chiara GALDI, PhD

Research associate

Dept. of Digital Security

EURECOM Campus SophiaTech

450 Route des Chappes

06410 Biot Sophia Antipolis

FRANCE

 

 <mailto:galdi at eurecom.fr> galdi at eurecom.fr

Phone : +33 (0)4 93.00.81.67

Fax   : +33 (0)4 93.00.82.00

 <http://www.eurecom.fr/~galdi> http://www.eurecom.fr/~galdi

 

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