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Visual Feature extraction and description

Khalifa Djemal 1 Jean-Pierre Cocquerez 2 Frédéric Precioso 3
1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
3 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe KEIA
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Since the very beginning of pattern recognition in the early 70's, pattern recognition remains a research challenge and has become of paramount importance nowadays. Today, machine learning methods complete expert knowledge in the choice of optimal feature sets with respect to image categories to be searched and recognized. This chapter provides an overview of the feature extraction and description approaches for still images as well as for spatio-temporal data analysis.
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https://hal.archives-ouvertes.fr/hal-00765379
Contributor : Frédéric Davesne <>
Submitted on : Friday, December 14, 2012 - 3:04:30 PM
Last modification on : Monday, October 12, 2020 - 10:30:35 AM

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CNRS | UNIV-EVRY | I3S | IBISC | IBISC-SIBI | DI | HEUDIASYC | UNICE | UNIV-COTEDAZUR | UNIV-COMPIEGNE

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Khalifa Djemal, Jean-Pierre Cocquerez, Frédéric Precioso. Visual Feature extraction and description. Benois-Pineau Jenny and Precioso Frédéric and Cord Matthieu. Visual Indexing and Retrieval, Springer, pp.5--20, 2012, ⟨10.1007/978-1-4614-3588-4_2⟩. ⟨hal-00765379⟩

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