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Fast image index for database management engines

Grycuk Rafał, Najgebauer Patryk, Kordos Miroslaw, Scherer Magdalena M., Marchlewska Alina

Journal of Artificial Intelligence and Soft Computing Research

2020

Vol. 10, No. 2

113--123

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.

Image Indexing by Distributed Color Temperature Descriptions

Wnukowicz K.

Fundamenta Informaticae

2004

Vol. 61, nr 3,4

369--378

The paper presents new methods for image content indexing by the use of color temperature feature. A descriptor for dominant color temperature is introduced, for which two types of queries are discussed: a query by color temperature value and a query by example. Finally, a data structure for search optimized storage of the introduced descriptor is proposed and evaluated.