@InProceedings{AdriaMolina2021,
author="Adria Molina
and Pau Riba
and Lluis Gomez
and Oriol Ramos Terrades
and Josep Llados",
title="Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach",
booktitle="16th International Conference on Document Analysis and Recognition",
year="2021",
volume="12822",
pages="306--320",
abstract="This paper presents a novel method for date estimation of historical photographs from archival sources. The main contribution is to formulate the date estimation as a retrieval task, where given a query, the retrieved images are ranked in terms of the estimated date similarity. The closer are their embedded representations the closer are their dates. Contrary to the traditional models that design a neural network that learns a classifier or a regressor, we propose a learning objective based on the nDCG ranking metric. We have experimentally evaluated the performance of the method in two different tasks: date estimation and date-sensitive image retrieval, using the DEW public database, overcoming the baseline methods.",
optnote="DAG; 600.121; 600.140; 110.312",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3571), last updated on Mon, 24 Oct 2022 12:30:43 +0200",
doi="10.1007/978-3-030-86331-9_20",
file=":http://refbase.cvc.uab.es/files/MRG2021b.pdf:PDF"
}