Now showing items 1-10 of 354
Multimodal retrieval with relevance feedback based on genetic programming
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search relies on ...
Medical image retrieval based on complexity analysis
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
Combining re-ranking and rank aggregation methods for image retrieval
This paper presents novel approaches for combining re-ranking and rank aggregation methods aiming at improving the effectiveness of Content-Based Image Retrieval (CBIR) systems. Given a query image as input, CBIR systems ...
Topological multi-contour decomposition for image analysis and image retrieval
(ELSEVIER SCIENCE BV, 2008)
Successful classification, information retrieval and image analysis tools are intimately related with the quality of the features employed in the process. Pixel intensities, color, texture and shape are, generally, the ...
A New Family of Distance Functions for Perceptual Similarity Retrieval of Medical Images
A long-standing challenge of content-based image retrieval (CBIR) systems is the definition of a suitable distance function to measure the similarity between images in an application context which complies with the human ...
Wavelet-based fingerprint image retrieval
(Elsevier Science BvAmsterdamHolanda, 2009)
A correlation graph approach for unsupervised manifold learning in image retrieval tasks
Effectively measuring the similarity among images is a challenging problem in image retrieval tasks due to the difficulty of considering the dataset manifold. This paper presents an unsupervised manifold learning algorithm ...
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
Performing effective image retrieval tasks, capable of exploiting the underlying structure of datasets still constitutes a challenge research scenario. This paper proposes a novel manifold learning approach that exploits ...
Medical image retrieval and analysis by Markov random fields and multi-scale fractal dimension
(Institute of Physics - IOPBristol, 2015-02)
Many Content-based Image Retrieval (CBIR) systems and image analysis tools employ color, shape and texture (in a combined fashion or not) as attributes, or signatures, to retrieve images from databases or to perform image ...