Call for papers

 

 "Workshop on

Computational Intelligence Techniques in

Multimedia Computing "

 

This workshop is organized as a part of  The Fifth International Conference 

on A new trend in informatics: The way ahead

 24-26 March 2007

Cairo, Egypt

http://www.fci-cu.edu.eg/INFOS2007/

INFOS2007

Organized by

 Egyptian Rough Sets Working Group (ERS) Click here!

Dr. Aboul Ella Hassanien

http://www.cba.edu.kw/abo

 

Workshop Program [pdf file]

 

The past years have witnessed a large number of interesting applications of various Computational Intelligence (CI) techniques, such as fuzzy logic, rough sets, neural networks, and evolutionary computation, to intelligent multimedia processing.  Multimedia computing problems such as content analysis, indexing and retrieval, recognition and compression, or processing and filtering.  This session   will focus mainly on the problems and applications that deal with the multimedia processing using  Computational Intelligence techniques as an emerging research area.

 Recommended topics include but are not limited to the following:

  • CI for Spoken interface for data retrieval

  •  CI for Music Similarity, Clustering and Understanding

  • CI for Spoken interface for data retrieval

  • CI for Music Similarity, Clustering and Understanding

  • CI for Audio/Video indexing for the Web

  • CI for knowledge extraction from image data;

  • CI for knowledge extraction from sound data;

  • CI for knowledge extraction from video data;

  • CI for internet multimedia information access

  • CI for Intelligent agents for multimedia

  • CI for Multi-modal event detection and recognition

  • CI for Retrieval from multi-modal life logs

  • CI for High performance multimedia databases

  • CI for Fusion of Multimedia

  • CI for Content based retrieval of novel media

  • CI for Supported information visualization, browsing & navigation

  • CI for Classification and indexing of multimedia information objects

  • CI for Multimedia data mining methods and algorithms;

  • CI for Complexity, and scalability of multimedia mining algorithms;

  • CI for Classification of multimedia documents;

  • CI for  Preprocessing and representation of multimedia data;

  • Hybrid Systems,  Fuzzy Evolutionary Systems - Fuzzy Expert Systems - Fuzzy Neural Systems - Neural Genetic Systems -Neural-Fuzzy-Genetic Systems -Hybrid Systems for Optimization

 

  • Special interest of Rough Computing

Since the introduction of rough sets in 1982 by Professor Zdzisław Pawlak, we have witnessed great advances in both theory and applications. There has been a rapid growth in research and applications of rough sets in the world, particularly in Egypt. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent systems design, knowledge intensive computations that signal the emergence of a knowledge technology age. The essence of growth in cutting-edge, state-of-the-art and promising knowledge technologies is closely related to learning, pattern recognition, machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing. To present state-of-the-art scientific results, encourage academic and industrial interaction, and promote collaborative research and developmental activities, in rough sets and knowledge technology worldwide, a special working group interest for the Egyptian researcher named Egyptian working group has been established (http://www.cba.edu.kw/abo/rough-sets-working-group.htm). It will provide a new forum for the Egyptian researchers in rough computing and application.

  •  Important Dates:

 

Manuscript Due

 February 10, 2007

Acceptance Notification  

 February 25, 2007

Camera ready papers and authors' registration

 March 1st., 2007

If you are interested in submitting a paper to this workshop, please contact the organizer directly at abo@cba.edu.kw  (http://www.cba.edu.kw/abo)   for more information or to submit a paper. 

  • Submission of Papers

Papers for the special session should describe original and unpublished work on MCS. Full papers may be up to seven pages in IEEE format and should be sent by email to the session organizers. Accepted papers will appear in the INFOS'2007 conference proceedings.  All papers will be peer reviewed by two independent reviewers.

Related links:

  • Workshop on Soft Computing in  Intelligent  Multimedia Seoul Olympic Parktel, Seoul, Korea

  • Soft Computing  in Medical Image Processing - Special session as a part JRS07

  • Computational Intelligence in Medical Imagining: Techniques & Applications, to be published by CRC Press, 2008

  • The 7th International Conference on Intelligent Systems Design and Applications (ISDA'2007), October 22-24, Brazil

  • Soft Computing in Multimedia Processing, Special issue , Informatics Journal, 2005, [ Download]
     

    Cairo, Egypt

    Cairo, Egypt, the Triumphant City, known officially as al-Qāhirah  is one of the world's largest urban areas and offers many sites to see. It is the administrative capital of Egypt and, close by, is almost every Egypt Pyramid, such as the Great Pyramids of Giza on the very edge of the city. But there are also ancient temples, tombs, Christian churches, magnificent Muslim monuments, and of course, the Egyptian Antiquities Museum all either within or nearby the city.

    Cairo, Egypt is an amazing city full of life and movement, and it is that way almost 24 hours every day, with the noisy honking of horns, children playing in the streets and merchants selling their wears and services. And here, the Egyptians are most at home in this powerful, modern and ancient city

    Cairo, Egypt provides great culture, including art galleries and music halls, such as the Cairo Opera House, as well it should, being one of the largest cities in the world. It also provides some of the grandest accommodations and restaurants in the world, such as the Four Seasons and the Cairo Marriott.

    Cairo offers an incredible selection of shopping, leisure and nightlife activities. Shopping ranges from the famous Khan el-Khalili souk, (or bazaar) largely unchanged since the 14th century, to modern air-conditioned centers displaying the latest fashions. All the bounty of the East can be here. Particularly good buys are spices, perfumes, gold, silver, carpets, brass and copperware, leatherwork, glass, ceramics and mashrabiya. Try some of the famous street markets, like Wekala al-Balaq, for fabrics, including Egyptian cotton, the Tentmakers Bazaar for appliqué-work, Mohammed Ali Street for musical instruments and, although you probably won't want to buy, the Camel Market makes a fascinating trip. This is, and has been for over a thousand years, truly a shopper's paradise.

    Keynote Speaker

    Rough Sets in Data Mining and Information Retrieval

    Professor Dominik Slezak,

    Infobright Inc., Canada

    Abstract:

    Theory of rough sets, proposed by Zdzislaw Pawlak in 1982, is a model of approximate reasoning. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to significant results in many areas including, for example, finance, industry, multimedia, medicine, and most recently bioinformatics.

    One of the key notions of rough sets is a reduct, an optimal subset of attributes providing enough information about pre-defined target concepts or whole data sources. Proposed originally within the framework of rough set approximations, it was extended regarding different application needs, using concepts of, for example, Boolean reasoning, Bayesian reasoning, and information theory. There have been developed efficient tools extracting educts from data, based, for instance, on greedy heuristics and evolutionary algorithms.

    In this talk, we present foundations of rough sets, as well as current trends in rough-set-based attribute reduction, understood as the means for representation of multi-attribute approximate dependencies in real-world data. We pay a special attention to case studies of rough set applications to bio-medical problems, including MRI segmentation, gene expression data analysis, as well as the cancer therapy survival analysis. DBLP: Dominik Slezak


     

    About the Keynote Speaker

    Dominik Slezak received his PhD in Computer Science in 2002 from Warsaw University, Poland. In an instructional capacity he has supervised more than 15 graduate students in Canada, Poland, and the United Kingdom. He has pursued academic collaborations with Warsaw University, University of Regina, and the Polish-Japanese Institute of Information Technology.

    Additionally, he serves as an executive member of the International Rough Set Society, editor-in-chief of Online International Journal on Rough Set Methods, guest editor and reviewer for a number of international scientific journals, chair of several international scientific conferences, and is a member of several IEEE technical committees. He has published over 60 research articles for books, journals, and conference proceedings.

     

Workshop Program

25 March 2007

time

 

Paper

9.30-10.30

Invited talk

Rough Sets in Data Mining and Information Retrieval

 Dominik Slezak, Canada

 

Session-A: Rough Sets and Their Applications

Session chair:   Professor Dominik Slezak

Session co-chair:  Professor A.M. Kozae

 

 10.30- 10.50

 

On Bi approximation space

M. E.Abd El-Monsef, A. A Abo Khadra  & A. A. Zedan

10.50--10.10

Decision making via degree of dependency

A.M. Kozae , A.A. Abo Khadra , T. Medhat

10.10-11.30

Using Rough Sets and Genetic Algorithm to Build Decision Tree

Mostafa Fahmy, Osama Badawy, Yasser Foaud, Wedad Sagar

11.30-11.50

Topological Approach for Approximation Space (TAS)

A.M. Kozae, A.A. Abo Khadra , T. Medhat

11.50-12.10

Topological Solution of Missing Attribute Values Problem in Incomplete Information Tables

A. S. Salama

Coffee Break

 Session-B: Computational Intelligence & Applications

Session chair:  Professor  Jason S.H. Tsai

Session co-chair:  Dr. Mohamed Mostafa Abd Allah 

time

Paper

12.30 -12.50

 A Proposed Architecture for Distributed Multi-Agent Intelligent System   (DMAIS)

Ali I. El-Desouky,  Hesham A. Ali and Sally M. El-Ghamrawy

12.50 -01:10

Chaos Evolutionary Programming Based JPEG Quantization Table Generation Scheme

Shu-Mei Guo, Jason S.H. Tsai, Wen-Hsin Chang, Bing-Hui Wu &

Shy-Jen Guo

01:10 - 01:30

Enhanced Clustering Technique in RBF Neural Network for Function Approximation

M.Awad, H. Pomares, I.Rojas,

01:30 – 01:50

One -Dimensional Representation Method of Fingerprint Image Reduce the Cost and Size of the Sensing Device

Mohamed Mostafa Abd Allah

01:50 - 02:10

Artificial Neural Networks Architecture For Intrusion Detection Systems and Classification of Attack

Mohammed Sammany, Marwa Sharawi, Mohammed El-Beltagy, Imane Saroit 

02:10 - 02:30

Slope Space To Compress Electrocardiogram Signals

M. E. Rahman, and  M. A. Haque

Lunch  time

 

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