Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2019

Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images

Abstract

In this demonstration, we present Exquisitor, a media explorer capable of learning user preferences in real-time during interactions with the 99.2 million images of YFCC100M. Exquisitor owes its efficiency to innovations in data representation, compression, and indexing. Exquisitor can complete each interaction round, including learning preferences and presenting the most relevant results, in less than 30 ms using only a single CPU core and modest RAM. In short, Exquisitor can bring large-scale interactive learning to standard desktops and laptops, and even high-end mobile devices.
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hal-02378272 , version 1 (23-01-2020)

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Hanna Ragnarsdóttir, Thórhildur Thorleiksdóttir, Omar Shahbaz Khan, Björn Thór Jónsson, Gylfi Thór Gudmundsson, et al.. Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images. MM 2019 - 27th ACM International Conference on Multimedia, Oct 2019, Nice, France. pp.1029-1031, ⟨10.1145/3343031.3350580⟩. ⟨hal-02378272⟩
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