[visionlist] 3rd Call-for-Papers: SI on Looking At People: Analyzing Human Behavior from Social Media Data @ International Journal of Computer Vision

[Bogdan Ionescu]

[Apologies for multiple postings]

Special Issue on "Looking At People: Analyzing Human Behavior from Social
Media Data"
International Journal of Computer Vision
https://www.springer.com/computer?SGWID=0-146-6-1390546-0


*** CALL FOR PAPERS ***
Although great advances have been obtained in the "Looking at People"
field, it is only recently that attention has focused on problems connected
to more complex and subconscious behavior. For instance, personality and
social behavior are only starting to be explored from the computer vision
and multimedia information processing perspectives. This is often due to a
lack of data and benchmarks to evaluate these type of tasks.

Nevertheless, the availability of massive amounts of multimodal information
together with the dominance of social networks as a fundamental channel
where users interact, have attracted the interest of the community in this
direction of research. Tools for effectively analyzing these sort of
behaviors have a major impact into everyone's life, with applications in
health (e.g., support for mental disorders), security (e.g., forensics,
preventive applications), human computer/machine/robot interaction (e.g.,
affective/interactive interfaces) and even entertainment (e.g.,
user-tailored systems).

This special issue focuses in all aspects of computer vision and pattern
recognition devoted to the automatic analysis of human behavior in social
media from visual and multimodal information. The focus is on the analysis
of human behavior that is not visually obvious, i.e., unconscious behavior
and situations in which the sole visual analysis is insufficient to provide
a satisfactory solution. Submissions in other aspects of looking at people
may be considered as well.

Prospective articles should make fundamental or practical contributions to
the field. Topics of interest include (but are not limited to):
- Human behavior analysis from visual and multimodal information, with
emphasis on unconscious behaviors, including, but not limited to:
personality analysis, deception detection, social behavior analysis
- All aspects of human behavior analysis in the context of social networks
using multimodal information, including, but not limited to:
gesture/action, emotion recognition, personality analysis and
human-computer interaction
- Personality analysis and deception detection from multimodal information,
including textual, visual, and audible information
- Information retrieval, categorization and clustering of social networks
data, including images, text, and videos for the analysis of human behavior
- Analysis of human intention from social networks data involving
multimodal information
- New tasks, data sets and benchmarks on human behavior analysis from
multimodal information
- Multimodal machine learning, deep learning, active learning, and transfer
learning for human behavior analysis in social media
- Multimodal zero-shot learning, and unsupervised learning for the analysis
of unconscious human behaviors
- Crowdsourcing, community contributions, and social multimedia
- Information fusion for the analysis of human behavior in the context of
social networks
- Large-scale and web-scale multimodal analysis of social media
- Explainability and fairness in multimodal AI systems for human behavior
analysis
- Applications of unconscious behavior analysis methods, e.g., medicine,
sports, commerce, lifelogs, travel, security, environment.


*** Submission guidelines ***
All the papers should be full journal length submissions and follow the
guidelines set out by International Journal of Computer Vision:
https://link.springer.com/journal/11263

Manuscripts should be submitted online at:
https://www.editorialmanager.com/visi/
choosing "S.I. : Analyzing Human Behavior from Social Media Data" as
article type.

When uploading your paper, please ensure that your manuscript is marked as
being for this special issue. Information about the manuscript (title, full
list of authors, corresponding author's contact, abstract, and keywords)
should be also sent to the corresponding editors (see information below).

Submitted papers should present original, unpublished work, relevant to at
least one of the topics of the special issue. All submitted papers will be
evaluated on the basis of relevance, significance of contribution,
technical quality, scholarship, and quality of presentation, by at least
three independent reviewers. It is the policy of the journal that no
submission, or substantially overlapping submission, be published or be
under review at another journal or conference at any time during the review
process.


*** Important dates ***
Manuscripts Due: 15 March 2019
Publication: 1st quarter of 2020


*** Guest editors ***
Hugo Jair Escalante (hugo.jair at gmail.com), INAOE, Mexico & ChaLearn, USA
Bogdan Ionescu, University Politehnica of Bucharest, Romania
Esaú Villatoro, UAM-C, Mexico
Gabriela Ramírez, UAM-C, Mexico
Sergio Escalera, Computer Vision Center (UAB) & University of Barcelona,
Spain
Martha Larson, Radboud University & Delft University of Technology,
Netherlands
Henning Müller, University of Applied Sciences Western Switzerland
(HES-SO), Switzerland
Isabelle Guyon, ChaLearn, Berkeley, California, USA


On behalf of the guest editors,

Prof. Bogdan IONESCU
ETTI - University Politehnica of Bucharest
http://campus.pub.ro/lab7/bionescu/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20190215/2096fcc8/attachment.html>