[visionlist] [visionlis​t] CfP-2: 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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