Multimedia Tools and Applications

, Volume 33, Issue 1, pp 57–72 | Cite as

A multi-agent platform for content-based image retrieval

  • Socrates DimitriadisEmail author
  • Kostas Marias
  • Stelios C. Orphanoudakis


Efficient and possibly intelligent image retrieval is an important task, often required in many fields of human activity. While traditional database indexing techniques exhibit a remarkable performance in textual information retrieval current research in content-based image retrieval is focused on developing novel techniques that are biologically motivated and efficient. It is well known that humans have a remarkable ability to process visual information and to handle the volume and complexity of such information quite efficiently. In this paper, we present a content-based image retrieval platform that is based on a multi-agent architecture. Each agent is responsible for assessing the similarity of the query image to each candidate image contained in a collection based on a specific primitive feature and a corresponding similarity criterion. The outputs of various agents are integrated using one of several voting schemes supported by the system. The system’s performance has been evaluated using various collections of images, as well as images obtained in specific application domains such as medical imaging. The initial evaluation has yielded very promising results.


CBIR Image retrieval Multi-agent System 


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Socrates Dimitriadis
    • 1
    Email author
  • Kostas Marias
    • 1
  • Stelios C. Orphanoudakis
    • 1
    • 2
  1. 1.Institute of Computer ScienceFoundation for Research and Technology, ICS-FORTHIraklionGreece
  2. 2.Department of Computer ScienceUniversity of CreteIraklionGreece

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