Dear colleagues,
I am forwarding you the CfP of a special issue in PatRecLet on
multi-spectrum video analysis at the request of the guest editors.
With apologies for cross-posting.
Warmest regards,

We cordially invite you to submit papers to Pattern Recognition
Letters special issue on Extracting Semantics from Multi-Spectrum
Video. (

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:

  Multi-spectrum video acquiring
  Multi-spectrum video synchronization
  Image registration and transformation
  Feature extraction and description
  Multi-spectrum video visualization
  Multi-view video processing
  Sampling and interpolation
  Data fusion
  Decision for semantic interpretation
  Classification and pattern recognition
  Smart camera network
  Multi-spectrum video streaming
  Emerging application

Important Dates:

    Submission of full papers                          1. December, 2011

    Notification to authors                            1. April, 2012

    Publication data                                   December, 2012

Submission of Manuscripts

Prospective authors should visit
for information on paper submission.
Authors must submit their papers electronically by using online
manuscript submission at:
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 15. Oct, 2011  1. Dec, 2011.

Guest Editors:

Dr. Jungong Han
Centrum Wiskunde & Informatica (CWI),
Amsterdam, The Netherlands
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Dr. Eric Pauwels
Centrum Wiskunde & Informatica (CWI),
Amsterdam, The Netherlands
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Dr. Feng Wu
Microsoft Research Asia,
Beijing, China
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Prof. Peter H.N. de With
Eindhoven University of Technology,
Eindhoven, The Netherlands
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