Spatiotemporal video representation and compression

Authors:
S. Kuleshov;A. Zaytseva;A. Aksenov
Affiliations:
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Saint-Petersburg, Russia 199178;St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Saint-Petersburg, Russia 199178;St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Saint-Petersburg, Russia 199178
Venue:
Pattern Recognition and Image Analysis
Year:
2013

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Abstract

In this paper is presented a novel approach for video representation and compression based on spectral compression of spatiotemporal cube. This solution is inspired by the spatiotemporal representation of video sequences.