Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/5078
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Title: “When was this picture taken?” – Image date estimation in the wild
Authors: Müller, E.Springstein, M.Ewerth, R.
Publishers Version: https://doi.org/10.1007/978-3-319-56608-5_57
Issue Date: 2017
Published in: Lecture Notes in Computer Science Vol. 10193 (2017)
Publisher: Berlin : Springer Verlag
Abstract: The problem of automatically estimating the creation date of photos has been addressed rarely in the past. In this paper, we introduce a novel dataset Date Estimation in the Wild for the task of predicting the acquisition year of images captured in the period from 1930 to 1999. In contrast to previous work, the dataset is neither restricted to color photography nor to specific visual concepts. The dataset consists of more than one million images crawled from Flickr and contains a large number of different motives. In addition, we propose two baseline approaches for regression and classification, respectively, relying on state-of-the-art deep convolutional neural networks. Experimental results demonstrate that these baselines are already superior to annotations of untrained humans.
Keywords: Deep neural networks; Information retrieval; Neural networks; Convolutional neural network; Image dates; On state; Visual concept; Color photography
DDC: 020
License: CC BY 4.0 Unported
Link to License: https://creativecommons.org/licenses/by/4.0/
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