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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Djemal, K., Cocquerez, JP., Precioso, F. (2012). Visual feature extraction and description. In: Visual Indexing and Retrieval. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3588-4_2
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DOI: https://doi.org/10.1007/978-1-4614-3588-4_2
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-3587-7
Online ISBN: 978-1-4614-3588-4
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