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ICDIM 2013 Workshops & Tutorials
The main goal of the ICDIM 2013
workshops is to stimulate and facilitate
active exchange, interaction and
comparison of approaches, methods and
ideas related to specific topics, both
theoretical and applied, in the general
areas related to digital information
management. The workshops will provide
an optimum environment where
participants will have the opportunity
to discuss specific technical topics in an
atmosphere that fosters the active
exchange of ideas.
Below you can find
an overview of the workshops and
tutorials organized at ICDIM 2013.
Please note that ICDIM 2013 provides
other opportunities to make your
attendance even more inspiring and
productive!
The full program
can be consulted online in the Program
section of this website. The workshops
and tutorials are organized on:
September 10th, 2013 (Monday).
ICDIM 2013 Workshops
ICDIM 2013 Tutorials
Tutorial
on
An
introduction to Content-based Image
Retrieval
Gerald Schaefer,
Loughborough University,
Loughborough, U.K.
With the exponential growth of available
digital imagery, effective and efficient
techniques to manage these data are
highly sought after. Clearly, image
collections are only of use if they can
be queried, yet manual annotation to
enable such search is expensive, time
consuming and error-prone. Luckily a lot
of research in the last two decades has
focused on techniques to extract useful
data directly from images to facilitate
searching large image repositories. In
this tutorial we will explain the
underlying techniques, highlight some of
the challenges to be overcome, and
introduce some recent approaches that
provide interesting and useful methods
of working with image datasets.
Tutorial structure:
• Image databases
and problems of manual annotation
• Content-based image
retrieval by Colour, Texture, and
Shape
• Challenges:
compression and Colour variations
• Image
classification
• Image annotation
• Image database
Visualisation and Browsing
Tutorial length: 2
hours
Pre-requisites: none
Speaker Biography:
Gerald Schaefer gained his BSc.
in Computing from the University of
Derby and his PhD in Computer Vision
from the University of East Anglia. He
worked at the Colour & Imaging
Institute, University of Derby
(1997-1999), in the School of
Information Systems, University of
East Anglia (2000-2001), in the School
of Computing and Informatics at
Nottingham Trent University
(2001-2006), and in the School of
Engineering and Applied Science at
Aston University (2006-2009) before
joining the Department of Computer
Science at Loughborough University.
His research interests are mainly in
the areas of colour image analysis,
image retrieval, physics-based vision,
medical imaging, and computational
intelligence. He has published
extensively in these areas with a
total publication count exceeding 200.
He is a member of the editorial board
of several international journals,
reviews for over 50 journals and
served on the programme committee of
about 150 conferences. He has been
invited as plenary speaker to several
conferences, is the organiser of some
international workshops and special
sessions at conferences, and the
editor of several books and special
journal issues.
For more details please visit his web
page: http://homepages.lboro.ac.uk/~cogs/
Tutorial
on
Information
Retrieval
Ansif Arooj,
University of Education, Lahore,
Pakistan
Information
Retrieval is not Data mining and it did
not begin with the Web. Information
retrieval deals with providing access to
unstructured information. There are
various challenges for providing the
information access in real world. The
field of information retrieval defines
the principal approaches to searching
from the different forms of content. The
history of Information Retrieval tells
us that the field began with technical,
scientific and operational research,
publications and library records. But as
the time passes the content spreads out
into different forms from a structured
data to professional¡¯s data. The
information professionals use the
content for their research and are also
used in every field of life. The
Story of information retrieval world has
different categories, including
unstructured data and its properties,
how we will store and manage the data
for faster retrieval (i.e. clustering
and classification of data), what is the
world of algorithms say about
information retrieval and how the search
engines are crawling etc.
Tutorial length: 2
hours
Pre-requisites: none
Speaker Biography:
Ms. Ansif Arooj is
Lecturer in Computer Science at
University of Education, Bank Road
Campus, Lahore. She has done her MSc in
Information Technology from University
of the Punjab, College of Information
Technology. She has aptitude for
research in the field of Information
Technology, and her this very
interest focused her faculties on
writing and publishing a book
Information and Communication
Technology, that has two editions by
now. Currently, she is MS Research
Scholar in the same field in
University of Management and
Technology, Lahore. Her area of
specialization is Information System
technology and Management.
For more details please visit her web
page: http://www.ue.edu.pk/bk_rd_lhr.aspx
¡¡
Tutorial
on
Introduction
to ANNs, Data Preparation Techniques
& Application Development
Waseem Asrar Ahmed,
NED University of Engineering &
Technology, Karachi, Pakistan
The Tutorial focuses
on data preprocessing for effective
training of neural nets. Selection of
input vectors and preprocessing of data
is followed by the training assignment.
Participants may preferably have an idea
of basic functionality of neural
networks.
a) To introduce the
idea of using operations of our brain as
a model for computing.
b) Awareness of role which Artificial
Neural Networks can play in
problem-solving.
c) Discuss a few types of ANNs &
their applications.
d) Identify & judge where ANNs are
useful in problem-solving.
e) Design, construct and training of
ANNs.
f ) Data preprocessing for an effective
training of ANNs.
Tutorial length: 2
hours
Pre-requisites: none
Speaker Biography:
Mr. Waseem Asrar Ahmed is a Computer
Systems Engineer and an adjunct faculty
member at Hamdard University & NED
University of Engineering &
Technology, Karachi. He conducts courses
of Artificial Intelligence, Intelligent
Systems, Neural Network Computing &
Real-time Embedded Systems, etc. He has
above 11 years of experience that
includes 7+ years field experience in
developing real-time data acquisition
systems for industries. Also serving as
Consultant Engineer for developing AI
systems, he has contributed several
articles & research papers and
participated in many international
events on the subject. He has conducted
several workshops on AI, NNC & Fuzzy
applications.
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