A shotbased video content analysis method and system is described for providing automatic recognition of logical story units (LSUs). The method employs vector quantization (VQ) to represent the visual content of a shot, following which a shot clustering algorithm is employed together with automatic determination of merging and splitting events. The method provides an automated way of performing the timeconsuming and laborious process of organising and indexing increasingly large video databases such that they can be easily browsed and searched using natural query structures.
Method and System for Semantically Segmenting Scenes of a Video Sequence
BENINI, Sergio
2005-01-01
Abstract
A shotbased video content analysis method and system is described for providing automatic recognition of logical story units (LSUs). The method employs vector quantization (VQ) to represent the visual content of a shot, following which a shot clustering algorithm is employed together with automatic determination of merging and splitting events. The method provides an automated way of performing the timeconsuming and laborious process of organising and indexing increasingly large video databases such that they can be easily browsed and searched using natural query structures.File in questo prodotto:
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Patent WO2005093638A1 - Method and system for semantically segmenting scenes of a video sequence - Google Patents.pdf
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