PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Amato G., Falchi F., Rabitti F., Vadicamo L. Aggregating local descriptors for epigraphs recognition. In: DiPP 2014 - The Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (Veliko Tarnovo, Bulgaria, 18-21 Settembre 2014). Proceedings, pp. 49 - 58. (Digital Presentation and Preservation of Cultural and Scientific Heritage, vol. 4). Institute of Mathematics and Informatics Bulgarian Academy of Sciences, 2014.
 
 
Abstract
(English)
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.
URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=4149605c-8548-4f43-bad6-f57cf20591dd&articleId=935cd19f-8b77-49a2-92e5-523f5f0eefc3
Subject Inscriptions
Visual Recognition
Object Recognition
Content-Based Image Retrieval
Bag-of-Features
VLAD
H.3.3 Information Search and Retrieval


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional