Mykhailo I. Stolbovyi

Work place: Kharkiv National University of Radio Electronics, Kharkiv, Ukraine



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Image Processing, Data Structures and Algorithms


Mykhailo Stolbovyi graduated from Kharkiv National University of Radio Electronics in 2007. He is a PhD student in Computer Science at Kharkiv National University of Radio Electronics. His current interests are image and video processing, video clustering, and computational intelligence.

Author Articles
Clustering Matrix Sequences Based on the Iterative Dynamic Time Deformation Procedure

By Zhengbing Hu Sergii V. Mashtalir Oleksii K. Tyshchenko Mykhailo I. Stolbovyi

DOI:, Pub. Date: 8 Jul. 2018

The techniques of Dynamic Time Warping (DTW) have shown a great efficiency for clustering time series. On the other hand, it may lead to sufficiently high computational loads when it comes to processing long data sequences. For this reason, it may be appropriate to develop an iterative DTW procedure to be capable of shrinking time sequences. And later on, a clustering approach is proposed for the previously reduced data (by means of the iterative DTW). Experimental modeling tests were performed for proving its efficiency.

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Video Shots’ Matching via Various Length of Multidimensional Time Sequences

By Zhengbing Hu Sergii V. Mashtalir Oleksii K. Tyshchenko Mykhailo I. Stolbovyi

DOI:, Pub. Date: 8 Nov. 2017

Temporal clustering (segmentation) for video streams has revolutionized the world of multimedia. Detected shots are principle units of consecutive sets of images for semantic structuring. Evaluation of time series similarity is based on Dynamic Time Warping and provides various solutions for Content Based Video Information Retrieval. Time series clustering in terms of the iterative Dynamic Time Warping and time series reduction are discussed in the paper.

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