Content Based Image Retrieval Using Adaptive Inverse Pyramid Representation

Authors:
Mariofanna Milanova;Roumen Kountchev;Stuart Rubin;Vladimir Todorov;Roumiana Kountcheva
Affiliations:
Computer Science Departmentt, UALR, USA;Department of Radio Communications, Technical University of Sofia, Bulgaria;SSC San Diego, USA;T&K Engineering, Bulgaria;T&K Engineering, Bulgaria
Venue:
Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009
Year:
2009

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Abstract

This paper presents a new approach for content-based image retrieval using cognitive representation with pyramidal decomposition. This approach corresponds to the hypothesis of the human way for object recognition based on consecutive approximations with increased resolution for the selected regions of interest. The method is based on object model creation with Inverse Difference Pyramid controlled by neural network. The method's basic advantages are the high flexibility and the ability to create general models for various views and scaling with relatively low computational complexity. The method is suitable for great number of applications --- medicine, digital libraries, electronic galleries, geographic information systems, documents archiving, digital communication systems, etc.