[Imageworld] CfP: Special Issue on Semantic Understanding of Human Behaviours in Image Sequences @ CVIU

[Jordi Gonzàlez]

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Call for Contributions

Special Issue on Semantic Understanding of Human Behaviours in Image Sequences
Computer Vision and Image Understanding, and Elsevier journal

Full paper due: November 1, 2010
http://iselab.cvc.uab.es/cviu

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MOTIVATION

During the past four decades, important research efforts in computer vision have 
been focused on developing theories, methods and systems applied to the 
description of human behaviours in image sequences. Broadly speaking, in the 
past the main goal was the estimation of quantitative parameters describing 
where was motion. Nowadays, the focus is on the analysis of image sequences by 
incorporating cognitive processes which provide interpretation and understanding 
for detected human motion. That is, the true challenge is the generation of 
qualitative interpretations of the meaning of motion, therefore describing not 
only where (and what) motion is being observed, but also understanding why. This 
goal is becoming a key task in many promising computer-vision applications, such 
as image and scene understanding; video indexing and retrieval; video 
surveillance; and advanced human-computer interaction.

This Special Issue is particularly interested in new advances towards the 
semantic understanding of human behaviours in image sequences like sports, news, 
surveillance, documentaries, movie footage or streaming media. We are soliciting 
original contributions, of leading researchers and practitioners from academia 
as well as industry, which address a wide range of theoretical and application 
issues. Original papers to survey the recent progress in this exciting area and 
highlight potential solutions to common challenging problems are also welcomed. 
The topics include, but not limited to:

# Cognitive visual surveillance and ambient intelligence
# Object detection, tracking and recognition in image sequences
# High-level behaviour recognition and understanding
# Identification of semantic regions in human-populated scenarios
# Ontologies and semantic annotation of human motion in video content
# Human behaviour analysis: articulated models and animation
# Content-based browsing, efficient indexing and retrieval of behaviour concepts
# Natural-language description of human motion from image sequences
# Learning human models for behaviour synthesis (body/face)
# Learning human motion semantics from multimedia content

Submitted articles must not have been previously published and must not be 
currently submitted for publication elsewhere. Prospective authors are 
responsible for understanding and adhering to the journal submission guidelines. 
All submitted papers will be reviewed by at least three independent reviewers. 
Details of author instructions may be found at the CVIU webpage.

This special issue follows the First ACM International Workshop on Analysis and 
Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS2010) workshop 
held in association with ACM Multimedia 2010. Authors of best-valued papers 
presented in ACM ARTEMIS2010 will be also invited to submit a revised and 
upgraded version of their papers to this Special Issue. Papers submitted for the 
SI must contain significant new material so they will undergo a second review 
process.

See web site for complete and updated information.

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SUBMISSION DATES

Full paper due: November 1, 2010
First notification: February 1, 2011
Revised manuscript(for second review) due: April 1, 2011
Acceptance notification: May 1, 2011
Final Manuscript due: June 1, 2011
Publication of the Special Issue: the 1st quarter of 2012

More details on paper submission rules and guidelines are available on the
workshop website.

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GUEST EDITORS

Jordi Gonzàlez (poal at cvc dot uab dot es)
Dept. Computer Science & Centre de Visió per Computador
Universitat Autònoma de Barcelona
Bellaterra 08193, Barcelona, Catalonia, Spain

Thomas B. Moeslund (tbm at imi dot aau dot dk)
Department of Media Technology
Aalborg University
Niels Jernes Vej 14, 9220 Aalborg East, Denmark

Liang Wang (L.Wang5 at bath dot ac dot uk)
Department of Computer Science
University of Bath
Bath, BA2 7AY, United Kingdom

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