KES2009 CBIR

De Grupo de Inteligencia Computacional (GIC)
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KES 2009Special Session on Knowledge Engineering for Content Based Image Retrieval

Chairs

Computational Intelligence Group, UPV/EHU

Contact email

[1]

Description

Content-based image retrieval (CBIR) is a collection of techniques that allow organize large image collections by their visual content. This field has gained increasing importance due to growing development and availability of devices for recording and storing digital images, which has generated the need for efficient management of large volumes of images. In the development of CBIR systems are involved aspects related to human-computer interaction, image processing, machine learning, storing and indexing of data, as well as psychological aspects related to the perception and interests of users. The special session aims to provide a forum for discussion and dissemination of innovative proposals in each of these topics, pointing to the improvement of this technology.

Important dates

  • Submission of papers: 1 March 2009
  • Notification of acceptance: 1 April 2009
  • Final paper to be received by: 1 May 2009

Topics of interest

  • Image processing
  • Machine learning
  • Image retrieval
  • Human-Computer interaction
  • Indexing and storage of images
  • Relevance feedback
  • Architecture modelling
  • Similarity measure
  • Web image search
  • Real-world applications
  • Systems evaluation


Program committee (Tentative)

Agma J. M. Traina
Alberto del Bimbo
Anil K. Jain,
Arnold W.M. Smeulders
B. G. Prasad
Christopher Town
Edward M. Riseman
Euripides G.M. Petrakis
Gianluigi Ciocca
Gunhan Park
Guoping Qiu
Hayit Greenspan
Henning Müller
Hideyasu Sasaki
Imran Ahmad
Jitendra Malik
Jorma T. Laaksonen,
Julien Fauqueur
Kui Wu
Michele Nappi
Nagarajan Prabakar
Nozha Boujemaa
Nuno Vasconcelos
Paisarn Muneesawang,
Ramesh Jain
Ritendra Datta
Rong Jin
Serge J. Belongie
Steven C.H. Hoi,
Thomas S. Huang
William I. Grosky
Xiang Sean Zhou
Ying Liu
University of São Paulo at São Carlos, Brazil
Università di Firenze, Italy
Michigan State University, USA
University of Amsterdam, Netherlands
Indian Institute of Technology, Indian
University of Cambridge, UK
University of Massachusetts, USA
Technical University of Crete, Greece
Istituto Tecnologie Informatiche Multimediali, Italy
Korea Advanced Institute of Science and Technology, Republic of Korea
University of Nottingham, UK
Tel Aviv University, Israel
University Hospital of Geneva, Italy
Keio University, Japan
University of Windsor, Canada
University of California at Berkeley, USA
Helsinki University of Technology, Finland
Cambridge University, UK
Nanyang Technological University, Singapore
University of Salerno, Italy
Florida International University, USA
INRIA, France
University of California, USA
United Arab Emirates University, UAE
University of California, USA
The Pennsylvania State University, USA
Michigan State University, USA.
University of California, USA
University of Hong, China
University of Illinois, USA
University of Michigan, USA
Siemens Corporate Research, USA
Monash University, Australia

Paper submission

Journal Special Issues

Author's guidelines