International Journal of Computer Vision
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Communications of the ACM
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast correspondence-based system for shape retrieval
Pattern Recognition Letters
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Independence of measurements and the mean recognition accuracy
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
Contour detection based on nonclassical receptive field inhibition
IEEE Transactions on Image Processing
Automatic foveation for video compression using a neurobiological model of visual attention
IEEE Transactions on Image Processing
Perceptual image retrieval using eye movements
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
A saliency-based method of simulating visual attention in virtual scenes
Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology
Learning attention based saliency in videos from human eye movements
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Images as sets of locally weighted features
Computer Vision and Image Understanding
An attention based similarity measure for colour images
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Perceptual image retrieval using eye movements
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
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A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of features are generated as part of the similarity calculation and the extent to which features can be found to be common to pairs of patterns determines the measure of their similarity. Emphasis is given to salient image regions in this process and it is shown that the parameters of invariant transforms may be extracted from the statistics of matching features and used to focus the similarity calculation. Some results are shown on MPEG-7 shape data and discussed in the paper.