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Efficient image duplicate detection based on image analysis

Publications associées (75)

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Discriminative cue integration for medical image annotation

Barbara Caputo, Tatiana Tommasi

Automatic annotation of medical images is an increasingly important tool for physicians in their daily activity. Hospitals nowadays produce an increasing amount of data. Manual annotation is very costly and prone to human mistakes. This paper proposes a mu ...

2008

Fast Adaptive Elliptical Filtering Using Box Splines

Michaël Unser, Kunal Narayan Chaudhury

We demonstrate that it is possible to filter an image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method involves the application of a suitable global pre-integrator followed by a point ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Fast Adaptive Elliptical Filtering Using Box Splines

Michaël Unser, Kunal Narayan Chaudhury

IEEE2008

Fast Adaptive Elliptical Filtering Using Box Splines

Michaël Unser, Kunal Narayan Chaudhury

We demonstrate that it is possible to filter all image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method involves the application of a suitable global pre-integrator followed by a poin ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

The approach to indexing an image collection depends on the type of data to organize. Satellite images are likely to be searched with latitude and longitude coordinates, medical images are often searched with an image example that serves as a visual query, ...

École Polytechnique Fédérale de Lausanne2007

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

IDIAP2007

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

EPFL2007

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Pedro Manuel Da Silva Quelhas

The ever increasing number of digital images in both public and private collections urges on the need for generic image content analysis systems. These systems need to be capable to capture the content of images from both scenes and objects, in a compact w ...

École Polytechnique Fédérale de Lausanne2007

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Pedro Manuel Da Silva Quelhas

EPFL2007

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content ...

2007