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Poster De Conférence Année : 2016

Incremental hierarchical indexing and visualisation of large image collections

Résumé

Ever-growing image collections are common in several elds such as health, digital humanities or social networks. Nowadays, there is a lack of visualisation tools to browse such large image collection. In this work, the incremental indexing and the visualisation of large image collections is done jointly. The BIRCH algorithm is improved to incre- mentally yield a hierarchical indexing structure. A custom web platform is presented to visualise the structure that is built. The proposed method is tested with two large image collections, up to one million images.
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hal-01315650 , version 1 (02-03-2017)

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  • HAL Id : hal-01315650 , version 1

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Frédéric Rayar, Sabine Barrat, Fatma Bouali, Gilles Venturini. Incremental hierarchical indexing and visualisation of large image collections. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2016, Bruges, Belgium. . ⟨hal-01315650⟩
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