Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Abstract. This paper addresses the problem of registering a 3D model, represented as a cloud of points lying over a surface, to a set of 2D deforming image trajectories in the imag...
Professionals in various elds such as medical imaging, biology, and civil engineering require rapid access to huge amounts of image data. Multimedia interfaces further increase t...
Rolf Muralt, Benoit A. Gennart, Bernard Krummenach...
This paper describes a new representation for the audio and visual information in a video signal. We reduce the dimensionality of the signals with singular-value decompositions (S...
In this paper, we analyze the existing approaches to image data modeling and we propose an image data model and a particular image representation in the proposed model. This model ...
Abstract. Most of the recent work on adaptive processing and continuous querying of data streams assume that data objects come in the form of tuples, thus relying on the relational...
Michael Gertz, Quinn Hart, Carlos Rueda, Shefali S...
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
The need for systems that can stock, represent, and provide efficient retrieval facilities of images of particular interest is becoming very high in medicine. In this respect, a l...
Abstract. We address the problem of large scale place-of-interest recognition in cell phone images of urban scenarios. Here, we go beyond what has been shown in earlier approaches ...
Abstract. In this paper, a new technique (SPASM) based on a 3DASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with differe...
Hans C. van Assen, Mikhail G. Danilouchkine, Aleja...