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Transactional Support for Visual Instance Search

Abstract : This article addresses the issue of dynamicity and durability for scalable indexing of very large and rapidly growing collections of local features for visual instance retrieval. By extending the NV-tree, a scalable disk-based high-dimensional index, we show how to implement the ACID properties of transactions which ensure both dynamicity and durability. We present a detailed performance evaluation of the transactional NV-tree, showing that the insertion throughput is excellent despite the effort to enforce the ACID properties.
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Submitted on : Wednesday, July 18, 2018 - 2:14:32 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Friday, October 19, 2018 - 6:13:22 PM


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  • HAL Id : hal-01843043, version 1


Herwig Lejsek, Friðrik Heiðar Ásmundsson, Björn Þór Jónsson, Laurent Amsaleg. Transactional Support for Visual Instance Search. SISAP 2018 - 11th International Conference on Similarity Search and Applications, Oct 2018, Lima, Peru. pp.1-14. ⟨hal-01843043⟩



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