Computational Intelligence in Multimedia Processing:

Recent Advances

To be published by Series "Studies in Computational Intelligence" published by Springer Verlag

                   http://www.springer.com/series/7092                            

  Book Objectives & Mission: 

      For the last decades Multimedia processing has emerged as an important technology to generate content based on images, video, audio, graphics, and text. Furthermore, the recent new development represented by High Definition Multimedia content and Interactive television   will generate a huge volume of data and important computing problems connected with the creation, processing and management of Multimedia content. Multimedia processing is a challenging domain for several reasons: it requires both high computation rates and memory bandwidth; it is a multirate computing problem; and requires low-cost implementations for high-volume markets.   The past years have witnessed a large number of interesting applications of various Computational intelligence techniques, such as rough sets, Neural Networks; Fuzzy Logic; Evolutionary Computing; Artificial Immune Systems; Swarm Intelligence; Reinforcement Learning and evolutionary computation, to intelligent multimedia processing. 

    This edited "Computational Intelligence in Multimedia Processing: Recent Advances" book is envisaged as a compilation of the latest trends and developments in the field of computational intelligence in multimedia processing. The editors seek contributions for the book in form of book chapters dealing with the use of computational intelligence techniques in multimedia processing.  The editors seek contributions for the book in form of book chapters dealing with the use of computational intelligence techniques in multimedia Processing.  

Topics

Topics include, but are not limited to:-

§  Computational Intelligence in Multimedia Computing

•  I/O devices,

• OS, storage systems,

• Streaming media middleware,

• Continuous media representations,

• Media coding and media processing,

• Spoken interface for data retrieval, 

• Music Similarity, Clustering and Understanding, 

• Audio/Video indexing for the Web,

• Knowledge extraction from image data;  

• Knowledge extraction from sound data; 

• knowledge extraction from video data;

• internet multimedia information access,

• Intelligent agents for multimedia, 

• Multi-modal event detection and recognition, 

• Retrieval from multi-modal life logs,

• Fusion of Multimedia, 

• Content based retrieval of novel media, 

• Supported information visualization, browsing & navigation, 

• Classification and indexing of multimedia information objects, 

• Multimedia data mining methods and algorithms;  

• Complexity, and scalability of multimedia mining algorithms;  

• Classification of multimedia documents;   

• Preprocessing and representation of multimedia data,

• Agent based computing,

• Video segmentation and summarization,

• Digital video watermarking,

• Video Analysis and Access Over the Internet,

• Computational intelligence in Game,

• Intelligent Systems for Interactive Entertainment

• Video Mining

• Visual Computing and Machine Learning

• Statistical visual computing

• Machine Learning for Multimodal Interaction

• Artificial immune systems

• Cognitive Robotics

• Simulated annealing

• Fractal theory in multimedia

• Fractal Image Watermarking

• Case studies on multimedia conferencing, video-on-demand  interactive TV.

• etc.

§  Computational Intelligence in  Multimedia Communications

•  Real-time protocols,

• End-to-end streaming media,

• resource allocation,

• multicast protocols,

• Mobile multimedia communications

• Multimedia semantic characteristics in wireless, mobile and ubiquitous environments,

• Extraction and usage of semantic information

• Performance evaluation of multimedia services,

• Multimedia Retrieval in wireless and mobile environments,

• P2P multimedia streaming in wireless and mobile networks,

• multimedia-on demand servers,

• multimedia composition,

• multimedia services,

• multimedia data Compression techniques,

• Mobile Multimedia Applications & Services, 

• Communication and Cooperation through Mobile Multimedia, 

• Mobile Multimedia Software Architectures,    

• Mobile Virtual and Augmented Reality

• Next generation multimedia communications

• Audio signal processing for next-generation multimedia communication

   

§  Computational Intelligence in Multimedia Applications

• Education,

• Electronic Commerce,

• Mobile Commerce,

• Internet Banking,

• Business,

• Medicine,

• Engineering,  

• Entertainment,

• Databases,

• Distributed collaboration,

• Video conferencing,

• 3D virtual environments,

• Distributed virtual reality,

• multimedia authoring,

• Environmental Systems Military Systems,

• Games

• Ambient Intelligence: A Multimedia Perspective

• Biometrics

• Digital Watermarking

• Security

•  etc. 

  Submission Guidelines and important dates

         Researchers and practitioners are kindly invited to send on or before March 09 2007 a short email to abo@cba.edu.kw, containing a preliminary title and a short abstract of their chapter. This will facilitate the planning of the review process.  All chapter proposals will be peer reviewed.  Full chapters will be expected by March 28^th 2007. All submitted chapters will be reviewed by at least two reviewers on a double-blind review basis.  

 Original artwork and a signed copyright release forms will be required for all accepted chapters.

Editors:

About the series "Studies in Computational Intelligence"

      The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.

Instructions for Authors (Preparation of Manuscripts)

   Careful preparation of the manuscripts will help keep production time short and ensure satisfactory appearance of the finished book. Please prepare the manuscript using the author guidelines and format given in the following link: Author Guidelines

General guidelines:

• Please centralize all tables and figures with appropriate legends.

• Please carefully check for typos inside the figures/legends etc.

• All equations must be numbered and please try to use standard fonts.

• Produce a LaTeX version of your chapter using the template provided
  (see Author Guidelines  at  http://www.softcomputing.net/cec06/author-kit.zip

• Name your TEX file using the last two digits of the chapter number
  (e.g. chapter number: CIB-01 => file name: CIB-01.tex); Moreover, in
  your LaTeX file, all object labels must include the chapter number (
  e.g. figure labels must be fig:CIB-01-01.eps, fig:CIB-01-02.eps, ...,
  table labels must be table:CIB-01-01, table:CIB-01-02, ..., section
  labels must be sec:CIB-01-1, sec:CIB-01-2, reference labels must be
  ref:CIB-01-01, ref:CIB-01-02, ... etc.);

• Insert indexes for the keywords of your work using the \index command;

• Produce a high quality art-work (EPS) for each of the figures
  included in your chapter;

• Name your EPS art-work using the last two digits of the chapter
  number followed by the figure number (e.g. chapter number:
  CIB-01=>figure names CIB-01-01.eps, CIB-01-02.eps , CIB-01-03.eps,
  etc);

• Produce an archive containing the TEX, PDF and EPS files;

• Name your archive using your chapter number (chapter number:
  CIB-01=> archive name: CIB-01.zip);

Contact Information

Aboul-Ella Hassanien (Abo )

 Kuwait University
College of Business Administration
Quantitative and Information System Department
P.O. Box 5486 Safat
Code No. 13055
Kuwait
E-mail: Abo@cba.edu.kw

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