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Content-based image retrieval using feature extraction & statistical pattern recognition techniques for environmental applications

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2 Author(s)
Theodossi, A.D. ; Dept. of Inf., Univ. of Piraeus, Piraeus ; Tsihrintzis, G.A.

The maximization of the effective use of the planetpsilas diminishing physical resources through the use of information resources seems to be one of the most significant mandates for the new century. The plethora and variety of environmental data (text, diagrams, images, videos, and other types of measurements), together with the fact that they are stored in worldwide distributed databases, creates new challenges when attempting to retrieve relevant information. Furthermore, this information is usually attached to time and space. The aim of this work is to present information system architecture for content-based multimedia and information retrieval in environmental information systems using intelligent techniques and to discuss some of the open research issues in this area.

Published in:

Systems, Signals and Image Processing, 2008. IWSSIP 2008. 15th International Conference on

Date of Conference:

25-28 June 2008