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Visual Feature extraction and description

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 : Tuesday, June 30, 2020 - 11:56:08 AM

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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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