Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach

• URL: http://arxiv.org/abs/2106.05618v1
• Date: Thu, 10 Jun 2021 09:53:03 GMT
• Title: Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
• Authors: Adri\`a Molina and Pau Riba and Lluis Gomez and Oriol Ramos-Terrades and Josep Llad\'os
• Abstract summary: 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. We have experimentally evaluated the performance of the method in two different tasks: date estimation and date-sensitive image retrieval.
• Score: 3.5698678013121334
• License: http://creativecommons.org/licenses/by-sa/4.0/
• 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.

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