In this demonstration we present SHIATSU, an automatic semantic-based video tagging system which relies on shot boundary detection and hierarchical annotation. More in details, in SHIATSU, shots obtained from video segmentation are first automatically labeled and such labels are then propagated at the video level. The approach is novel and appealing because: 1) it only considers the visual content of each video in order to automatically suggest description labels, 2) predicted tags can be reviewed/accepted by the user and persistently stored in the system in order to be exploited when searching for video of interest, and 3) the provided GUI makes annotation of videos extremely intuitive and usable.

SHIATSU: Annotating your Videos the Easy Way!

BARTOLINI, ILARIA;
2010

Abstract

In this demonstration we present SHIATSU, an automatic semantic-based video tagging system which relies on shot boundary detection and hierarchical annotation. More in details, in SHIATSU, shots obtained from video segmentation are first automatically labeled and such labels are then propagated at the video level. The approach is novel and appealing because: 1) it only considers the visual content of each video in order to automatically suggest description labels, 2) predicted tags can be reviewed/accepted by the user and persistently stored in the system in order to be exploited when searching for video of interest, and 3) the provided GUI makes annotation of videos extremely intuitive and usable.
Proceedings of the 3rd International Workshop on Similarity Search and Applications (SISAP 2010)
119
120
I. Bartolini; C. Romani
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/93484
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