Prepocessing of Visual and Audio Information Based on a Fuzzy Network


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Shahbazova S. N.

ACTA POLYTECHNICA HUNGARICA, vol.21, no.10, pp.111-119, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 10
  • Publication Date: 2024
  • Doi Number: 10.12700/aph.21.10.2024.10.7
  • Journal Name: ACTA POLYTECHNICA HUNGARICA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.111-119
  • Azerbaijan State University of Economics (UNEC) Affiliated: Yes

Abstract

In this paper we present the results of a study related to the development of the most effective representation and organization of libraries of visual and sound objects in terms of the absence of any restrictions and template optimizations. It is based on the idea of a dictionary concept that contains a brief description of stored visual and sound information. Consequently, providing associative communication between information objects, up to the possibility of creating an over-subject level abstract representation.