[visionlist] [visionlis​​t] CfP-3: Pattern Recognitio​​​​n Letters Special issue on Extracting Semantics from Multi-Spec​​​trum Video

[jungong han]

Extracting Semantics from Multi-Spectrum Video

Special issue on the Pattern Recognition Letters(
http://www.elsevierscitech.com/cfp/PRL_SI_ESMSV_CFP.pdf)

Call for Papers

Aim and Scopes:

Recent advances in imaging, networking, data processing and storage
technology have resulted in an explosion in the use of multi-spectrum
image/video in a variety of fields, including video surveillance, urban
monitoring, cultural heritage area protection and many others. The
integration of videos from multiple channels can provide complementary
information and therefore increase the accuracy of the overall decision
making process. A typical example is the usage of a hybrid vision system
for video surveillance application, which usually consists of
omnidirectional, perspective and infrared cameras. Such a system takes
advantage of a large view scope from omnidirectional cameras, richer
textural information from perspective cameras and better image quality in
the dark environment from infrared cameras. However, the benefit of
multi-spectrum video fusion always comes with a certain cost and complexity
in the analysis process due to the fact that the involved modalities have
different characteristics. One of the challenges of such systems is that
they need to strike a balance between two opposing requirements. On the one
hand, the more pronounced the independence between the different
modalities, the more complementary the information that can be gleaned from
each of them. On the other hand, there need to be a sufficient amount of
correlation in order to be able to link features in one modality to that in
the others. To effectively utilize multi-spectrum images/videos in a
system, considerable research has been developed to solve various problems
in this field during the last decade. Unfortunately, most existing
techniques are still heuristic-based, which have not yet been smart and
efficient enough. For example, a widely used approach is to assign an
empirical weight for each individual modality, and the final decision is
made based on summing up the decision from each modality. It lacks theories
to answer several fundamental questions: 1) what are the best modality in
certain situations? 2) How can we measure the dependency among the videos
from different channels? And, 3) how can we optimally fuse information from
multiple modalities?
 This special issue aims at capturing the latest advances of the research
community working on multi-spectrum video analysis. We are soliciting
original contributions and encouraging the work for (1) novel fundamental
techniques, and (2) showcasing robust systems to treat emerging
applications. Topics of interest include, but are not limited to:

Ø  Multi-spectrum video acquiring
Ø  Multi-spectrum video synchronization

Ø  Image registration and transformation

Ø  Feature extraction and description

Ø  Multi-spectrum video visualization

Ø  Multi-view video processing

Ø  Sampling and interpolation

Ø  Data fusion

Ø  Decision for semantic interpretation

Ø  Classification and pattern recognition

Ø  Smart camera network

Ø  Multi-spectrum video streaming

Ø  Emerging application
Important Dates:

     Submission of full papers                          1. December, 2011
     Notification to authors                               1. April, 2012
     Publication data                                          December,
2012 (tentative)

Submission of Manuscripts
Prospective authors should visit
http://www.elsevier.org/wps/find/journaldescription.cws_home/505619/authorinstructionsfor
information on paper submission. Authors must submit their papers
electronically by using online manuscript submission at:
http://ees.elsevier.com/patrec. To ensure that all manuscripts are
correctly included into the special issue, it is important that authors
select the acronym "ESMSV" of this special issue when they reach the
"Article Type" step in the submission process. All papers will be
rigorously refereed and will undergo a standard review process of PRL. The
length of your manuscript should not exceed 7500 words, including maximal
10 figures/tables.
Submission Period

The Elsevier Editorial System will be set to allow authors to upload their
manuscripts to ESMSV in the period 1. Nov, 2011 – 1. Dec, 2011.

Guest Editors:
Dr. Jungong Han
Centrum Wiskunde & Informatica (CWI),
Amsterdam, The Netherlands
j.han at cwi.nl

Dr. Eric Pauwels
Centrum Wiskunde & Informatica (CWI),
Amsterdam, The Netherlands
Eric.Pauwels at cwi.nl

Dr. Feng Wu
Microsoft Research Asia,
Beijing, Chinafengwu at microsoft.com


Prof. Peter H.N. de With
Eindhoven University of Technology,
Eindhoven, The Netherlands
P.H.N.de.With at tue.nl
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