Algorithmization of analytical methods for finding motion vectors when processing image series
2022, vol.14 , no.2, pp. 39-50
Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. Among such systems, we will single out real-time monitoring, the requirements for an image processing system in which are very strict. At the same time, the traditionally high complexity of images is in contradiction with the need for fast processing. One of the ways to resolve the contradiction is to represent a series of images as a sequence of additions and changes to the previous image in the next. An important component of such a representation is the search for motion vectors and the corresponding algorithms for searching for such vectors. A new algorithm based on an analytical solution is obtained and provides a multiple compression ratio by eliminating the temporary redundancy of data determined by a high correlation between adjacent frames of video sequences.
motion vectors, image series, fast processing, analytical solution, machine graphics
O. Ja. Kravets, I. A. Aksenov, P. A. Rahman. Algorithmization of analytical methods for finding motion vectors when processing image series. International Journal on Information Technologies and Security, vol.14 , no.2, 2022, pp. 39-50.