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Subject:

CfP: ACM ICMR'18 Special Session on "Predicting User Perceptions of Multimedia Content”

From:

Bogdan Ionescu <[log in to unmask]>

Reply-To:

Bogdan Ionescu <[log in to unmask]>

Date:

Sun, 14 Jan 2018 19:27:55 +0200

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text/plain

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[Apologies for cross-posting]

-------------------------
1st Call for Papers
-------------------------

Special Session on "Predicting User Perceptions of Multimedia Content"
ACM International Conference on Multimedia Retrieval (ICMR’2018)
11-14 June 2018, Yokohama, Japan
http://research.cs.aalto.fi/cbir/icmr2018-specialsession/
http://www.icmr2018.org/


# Call for Papers #

Understanding of multimedia content by machines has reached an
important milestone in current research with the latest achievements
in machine learning. However, although such technologies may enable a
high level understanding of multimedia scenes, their output still
remains a factual and plain description of it. What is related to
human perceptions of media content is still most of the time eluded,
although there have been important breakthroughs in analyzing
subjective properties, such as aesthetics, memorability, or induced
emotions.

Predicting user perceptions of multimedia content aims to go one step
forward in putting human subjectivity and interpretation in the centre
of the scene understanding, by rending the systems able to
automatically predict human-like concepts such as interestingness,
affective values and emotions, aesthetic values, memorability,
novelty, complexity, visual composition and stylistic attributes,
creativity, etc. These are specifically interesting for a very broad
range of current applications, e.g., content retrieval and search,
storytelling, targeted advertising, education and learning, and
content filtering.

Work already exists in the literature that studies the psychological
aspects of these notions or investigates potential correlations
between two or more of these human concepts. Attempts at building
computational models capable of predicting such notions can also be
found, which use state-of-the-art machine learning techniques.
Nevertheless their performance proves that there is still room for
improvement, as the task is by its nature highly challenging and
multifaceted because it has to address on one hand, the psychological
implications of the human concepts, and on the other hand their
translation to machines, meaning the availability of appropriate
labeled data and specially tuned algorithms.

In this special session at ICMR’18, we invite contributions that focus
on this specific topic with a special emphasis on the prediction of
interestingness and affect of media content, as well as their
covariates. More specifically, the topics of the special session
include (but are not limited to):
- Data collection, annotation and evaluation methods
- Computational models for predicting user perceptions of multimedia content
- Retrieval and search models that incorporate prediction of user perceptions
- Content filtering and recommendation based on user perceptions of content
- Video segmentation and summarization based on user perceptions of content
- Deep learning models for predicting user perceptions of multimedia content
- Prediction and modeling of content interestingness and covariates
- Content-driven and social-driven interestingness prediction
- Influence of context on interestingness prediction
- Temporal computational models for capturing emotional changes along videos
- Applications of content understanding based on user perceptions


# Important Dates #
- Paper Submission: February 17, 2018
- Notification of Acceptance: March 30, 2018
- Camera-Ready Papers Due: April 27, 2018


# Submission Instructions #
- Single-Blind Review
- Maximum Length of a Paper: Each full paper should not be longer than
8 pages (ACM proceedings style)
- Submission link: https://easychair.org/conferences/?conf=icmr18


# Special Session Organizers #
- Claire-Helene Demarty (main contact) and Ngoc Q. K. Duong, Technicolor, France
- Emmanuel Dellandrea, Ecole Centrale Lyon, France
- Mats Sjöberg, Aalto University, Finland
- Bogdan Ionescu, University Politehnica of Bucharest, Romania
- Thanh-Toan Do, University of Adelaide, Australia
- Yoann Baveye, Capacités, France


On behalf of the Organizers,

Prof. Bogdan IONESCU
ETTI - University Politehnica of Bucharest
http://campus.pub.ro/lab7/bionescu/

Research Center CAMPUS
http://www.campus.pub.ro
https://facebook.com/upbcampus
https://twitter.com/upbcampus

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