<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Fast Image Index for Database Management Engines

Department of Computer Science and Automatics

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"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...

Fast Image Index for Database Management Engines

Published Online: Mar 20, 2020

Page range: 113 - 123

Received: Jul 18, 2020

Accepted: Jan 23, 2020

DOI: https://doi.org/10.2478/jaiscr-2020-0008

Keywords
image descriptors, content-based image retrieval, image indexing

© 2020 Rafał Grycuk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Fast Image Index for Database Management Engines

Published Online: Mar 20, 2020

Page range: 113 - 123

Received: Jul 18, 2020

Accepted: Jan 23, 2020

DOI: https://doi.org/10.2478/jaiscr-2020-0008

Keywordsimage descriptors, content-based image retrieval, image indexing

© 2020 Rafał Grycuk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
image descriptors, content-based image retrieval, image indexing