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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2411

Title: Aggregating Local Descriptors for Epigraphs Recognition
Authors: Amato, Giuseppe
Falchi, Fabrizio
Rabitti, Fausto
Vadicamo, Lucia
Keywords: Epigraphs Recognition
Object Recognition
Content-Base Image Retrieval
Bag-of-Features
VLAD
Issue Date: 2014
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol. 4, No 1, (2014), 49p-58p
Abstract: In this paper, we consider the task of recognizing epigraphs in images such as photos taken using mobile devices. Given a set of 17,155 photos related to 14,560 epigraphs, we used a k-NearestNeighbor approach in order to perform the recognition. The contribution of this work is in evaluating state-of-the-art visual object recognition techniques in this specific context. The experimental results conducted show that Vector of Locally Aggregated Descriptors obtained aggregating SIFT descriptors is the best choice for this task.
URI: http://hdl.handle.net/10525/2411
ISSN: 1314-4006
Appears in Collections:DiPP 2014

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