PT Unknown AU Adria Molina Pau Riba Lluis Gomez Oriol Ramos Terrades Josep Llados TI Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach BT 16th International Conference on Document Analysis and Recognition PY 2021 BP 306 EP 320 VL 12822 DI 10.1007/978-3-030-86331-9_20 AB 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. ER