In this paper we propose an original approach to partitioning of a video into shots based on a foveated representation of the video. The proposed scheme aims at detecting both abrupt and gradual transitions between shots using a single technique, rather than a set of dedicated methods. Results on videos of various content types are reported and validate the proposed approach.
Using attention for video segmentation / G. Boccignone, A. Chianese, V. Moscato, A. Picariello - In: Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on[s.l] : IEEE, 2004. - ISBN 0769521282. - pp. 838-841 (( Intervento presentato al 17. convegno International Conference on Pattern Recognition tenutosi a Cambridge nel 2004.
Using attention for video segmentation
G. Boccignone
;
2004
Abstract
In this paper we propose an original approach to partitioning of a video into shots based on a foveated representation of the video. The proposed scheme aims at detecting both abrupt and gradual transitions between shots using a single technique, rather than a set of dedicated methods. Results on videos of various content types are reported and validate the proposed approach.
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