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- W2022188919 abstract "Visual search over large image repositories in real time is one of the key challenges for applications such as mobile visual query-by-capture, augmented reality, and biometrics-based identification. Search accuracy and response speed are two important performance factors. This article focuses on one of the important elements of this technology that enables large-scale visual search: indexing (or hashing). Indexing is the process of organizing a database of searchable elements into an efficiently searchable configuration. The searchable elements in our case are compact features extracted from images. This article explores a new indexing scheme. The authors optimize the design of a hash-code collision and counting scheme to enable fast search of visual features of MPEG CDVS." @default.
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- W2022188919 date "2013-04-01" @default.
- W2022188919 modified "2023-09-23" @default.
- W2022188919 title "Large Visual Repository Search with Hash Collision Design Optimization" @default.
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- W2022188919 doi "https://doi.org/10.1109/mmul.2013.22" @default.
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