Skip to Main content Skip to Navigation
Conference papers

Image Database Management Architecture: Logical Structure and Indexing Methods

Abstract : Visual information is an important type of information in modern life. However, it is still not used by organizations in a full capacity. The major reason for that is the lack of internal structure of visual information. The existence of this structure in numerical data allows to build very effective tools for classification, storage, and retrieval of numerical information, such as a relational data management system. In case of visual information, each value of the picture is basically meaningless, but the set of pixels starts carry meaningful information. In this paper, we aim to classify different types of images based on the areas of origination and application. We also suggest the possible structure of the database management system with images as elements of it. Another objective is to propose the indexing methods, which allow to avoid the direct comparison of visual query consequently to entire database. We also introduce the idea of applying multi frame super-resolution method to development of store-retrieval procedures for a database with dynamical visual information.
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download

https://hal.inria.fr/hal-01888624
Contributor : Hal Ifip <>
Submitted on : Friday, October 5, 2018 - 11:21:07 AM
Last modification on : Saturday, October 6, 2018 - 1:14:36 AM
Long-term archiving on: : Sunday, January 6, 2019 - 2:15:55 PM

File

470174_1_En_4_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Larisa Bulysheva, Alexander Bulyshev, Michael Kataev. Image Database Management Architecture: Logical Structure and Indexing Methods. 11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2017, Shanghai, China. pp.34-42, ⟨10.1007/978-3-319-94845-4_4⟩. ⟨hal-01888624⟩

Share

Metrics

Record views

103

Files downloads

14