Method and System for Semantically Segmenting Scenes of a Video Sequence

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.