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Duplicate image detection in a stream of web visual data

Abstract : We consider the problem of indexing and searching image duplicates in streaming visual data. This task requires a fast image descriptor, a small memory footprint for each signature and a quick search algorithm. To this end, we propose a new descriptor satisfying the aforementioned requirements. We evaluate our method on two different datasets with the use of different sets of distractor images, leading to large-scale image collections (up to 85 million images). We compare our method to the state of the art and show it exhibits among the best detection performances but is much faster (one to two orders of magnitude).
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Contributor : Léna Le Roy Connect in order to contact the contributor
Submitted on : Tuesday, July 17, 2018 - 10:15:52 AM
Last modification on : Friday, June 25, 2021 - 9:48:06 AM





E. Gadeski, Hervé Le Borgne, A. Popescu. Duplicate image detection in a stream of web visual data. 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2015, Prague, Czech Republic. ⟨10.1109/CBMI.2015.7153614⟩. ⟨cea-01841168⟩



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