Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805

A new adaptive approach to video stream analysis is proposed. The basic idea is to access video data by their contents using one of the visual content features.Video is represented as sequence of segmented frames to form VAR-model and realize detecting changes in the properties of multivariate time series. Results allow determining fragments of the last, that correspond to video content changes.


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