Fast Image Index for Database Management Engines

Large-scale image repositories are challenging to perform queries based on the content of the images. The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature vectors into two-level hashes and builds an index of the con...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Artificial Intelligence and Soft Computing Research 2020-04, Vol.10 (2), p.113-123
Main Authors: Grycuk, Rafał, Najgebauer, Patryk, Kordos, Miroslaw, Scherer, Magdalena M., Marchlewska, Alina
Format: Article
Language:English
Subjects:
Algorithms
Data base management systems
Data structures
Relational data bases
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Large-scale image repositories are challenging to perform queries based on the content of the images. The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature vectors into two-level hashes and builds an index of the content of the images in the database. The algorithm can be used in database management systems. We implemented it with an example image descriptor and deployed in a relational database. We performed the experiments on two image large benchmark datasets.
ISSN:2449-6499
2449-6499
DOI:10.2478/jaiscr-2020-0008