An image retrieval system based on identifying objects of interest
Integrated Computer-Aided Engineering
Color-based image retrieval using perceptually modified Hausdorff distance
Journal on Image and Video Processing - Color in Image and Video Processing
Ehipasiko: A Content-based Image Indexing and Retrieval System
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
An efficient region-based image representation using Legendre color distribution moments
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Picture the past from the present
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A new similarity measure for random signatures: perceptually modified hausdorff distance
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A two-stage region-based image retrieval approach using combined color and texture features
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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Image patches of different spatial frequencies are likely to have different perceptual significance as well as reflect different physical properties. Incorporating such concept is helpful to the development of more effective image retrieval techniques. We introduce a method which separates an image into layers, each of which retains only pixels in areas with similar spatial frequency characteristics and uses simple low-level features to index the layers individually. The scheme associates indexing features with perceptual and physical significance thus implicitly incorporating high level knowledge into low level features. We present a computationally efficient implementation of the method, which enhances the power and at the same time retains the simplicity and elegance of basic color indexing. Experimental results are presented to demonstrate the effectiveness of the method.