M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Shiatsu: semantic-based hierarchical automatic tagging of videos by segmentation using cuts
Proceedings of the 3rd international workshop on Automated information extraction in media production
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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 labelled 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.