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; Chianese, Angelo; V., Moscato; Picariello, Antonio. - STAMPA. - III:(2004), pp. 838-841. (Intervento presentato al convegno 17th International Conference on Pattern Recognition (ICPR 2004) tenutosi a Cambridge 2004 nel Agosto 2004).
Using Attention for Video Segmentation
CHIANESE, ANGELO;PICARIELLO, ANTONIO
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
