Transforming image descriptions as a set of descriptors to construct classification features

Gorokhovatskyi, V.; Tvoroshenko, I.; Yakovleva Olena

Публікація:
Transforming image descriptions as a set of descriptors to construct classification features

dc.contributor.author	Gorokhovatskyi, V.
dc.contributor.author	Tvoroshenko, I.
dc.contributor.author	Yakovleva Olena
dc.date.accessioned	2024-02-12T13:38:33Z
dc.date.available	2024-02-12T13:38:33Z
dc.date.issued	2024
dc.description.abstract	The article develops methods to solve a fundamental problem in computer vision: image recognition of visual objects. The results of the research on the construction of modifications for the space of classification features based on the application of the transformation of the structural description through the decomposition in the orthogonal basis and the implementation of the distance matrix model between the components of the description are presented. The application of the system of orthogonal functions as an apparatus for the transformation of the description showed the possibility of a significant gain in the speed of processing while maintaining high indicators of classification accuracy and interference resistance. The synthesized feature systems’ effectiveness has been confirmed in terms of a significant increase in the rate of codes and a sufficient level of efficiency. An experimental example showed that the time spent calculating the relevance of descriptions according to their modified presentation is more than ten times shorter than for traditional metric approaches. The developed classification features can be used in applied tasks where the time of visual objects’ identification is critical.
dc.description.sponsorship	The work is funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under project No. 09I03-03-V01-00115.
dc.identifier.citation	Gorokhovatskyi V. Transforming image descriptions as a set of descriptors to construct classification features / Gorokhovatskyi V., Tvoroshenko I., and Yakovleva O. // Indonesian Journal of Electrical Engineering and Computer Scienc, 2024. - vol. 33, no. 1. - pp. 113-125.
dc.identifier.doi	https://doi.org/10.11591/ijeecs.v33.i1.pp113-125
dc.identifier.uri	https://openarchive.nure.ua/handle/document/25567
dc.language.iso	en_US
dc.publisher	Indonesian Journal of Electrical Engineering and Computer Science
dc.subject	Computer vision
dc.subject	Descriptor
dc.subject	Distance matrix
dc.subject	Image classification
dc.subject	Keypoint
dc.title	Transforming image descriptions as a set of descriptors to construct classification features
dc.type	Article
dspace.entity.type	Publication