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Conference Papers Year : 2014

Dating color images with ordinal classification


This paper proposes a new approach for automatically dating a photograph, based solely on its content. Building on recent advances in computer vision, the images are first described by a set of features. Then, the age group of every image is predicted by a classifier trained with annotated data. The key strength of our approach -- which makes it perform better than existing ones -- is the introduction of an ordinal classification framework, particularly adapted to the type of data to be predicted (age groups). The approach is validated on a recent challenging dataset for which it produces state-of-the-art results.
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hal-01011234 , version 1 (23-06-2014)



Paul Martin, Antoine Doucet, Frédéric Jurie. Dating color images with ordinal classification. ICMR'14 - ACM International Conference on Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. 4 pp, ⟨10.1145/2578726.2578790⟩. ⟨hal-01011234⟩
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