TY  - CONF
AU  - Adria Molina
AU  - Pau Riba
AU  - Lluis Gomez
AU  - Oriol Ramos Terrades
AU  - Josep Llados
A2  - ICDAR
PY  - 2021//
TI  - Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
T2  - LNCS
BT  - 16th International Conference on Document Analysis and Recognition
SP  - 306
EP  - 320
VL  - 12822
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/MRG2021b.pdf
UR  - http://dx.doi.org/10.1007/978-3-030-86331-9_20
N1  - DAG; 600.121; 600.140; 110.312
ID  - Adria Molina2021
ER  -