Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/306257
Title: | About Computer Vision using Optimal Image Approximations |
Authors: | Kharinov, Mikhail |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
Issue Date: | 2023 |
Publisher: | Minsk : BSU |
Citation: | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 305-311. |
Abstract: | This paper presents the priority results of interdisciplinary SPC RAS research in the areas of cluster analysis and object detection in a digital image. For a specific domain of video data, the NP-hard problem of estimating optimal piecewise constant image approximations, which are characterized by possibly minimal approximation errors (total squared errors) for each number of 1, 2... etc colors, is posed and solved. The novelty of just this paper is in the presentation of accelerating the calculation of optimal image approximations |
URI: | https://elib.bsu.by/handle/123456789/306257 |
ISBN: | 978-985-881-522-6 |
Sponsorship: | This research was funded within the framework of the bud-getary theme FFZF-2022-0006 (Theoretical and Technolo-gical Basis for Operational Processing of Big Heterogeneous Data Streams in Sociocyberphysical Systems). |
Licence: | info:eu-repo/semantics/openAccess |
Appears in Collections: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons |
Files in This Item:
File | Description | Size | Format | |
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305-311.pdf | 1 MB | Adobe PDF | View/Open |
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