HAL - INRIA :: [inria-00548501, version 1] Project/Team LEAR : Learning and Recognition in Vision

inria-00548501, version 1

Project/Team LEAR : Learning and Recognition in Vision

Frédéric Jurie ¹, Cordelia Schmid ( Author to contact preferably ) ¹, Bill Triggs ¹

(2006)

Abstract: LEAR's main focus is learning based approaches to visual object recognition and scene interpretation, particularly for image retrieval, video indexing and the analysis of humans and their movements. Understanding the content of everyday images and videos is one of the fundamental challenges of computer vision and we believe that significant advances will be made over the next few years by combining state of the art image analysis tools with emerging machine learning and statistical modelling techniques.

1: LEAR (IMAG-INRIA Rhône-Alpes / GRAVIR)
CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)

inria-00548501, version 1
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Submitted on: Monday, 20 December 2010 09:06:47
Updated on: Friday, 7 January 2011 15:18:01

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Project/Team LEAR : Learning and Recognition in Vision

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