Key-Places Detection and Clustering in Movies Using Latent Aspects

Maguelonne Heritier, Samuel Foucher, Langis Gagnon
2007 2007 IEEE International Conference on Image Processing  
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical location (key-place). Our approach is based on finding links between key-frames belonging to a same keyplace. We use a probabilistic latent space model over the possible match points between the image sets. This allows extracting significant groups of local descriptor matches that may represent characteristic elements of a
more » ... key-place. A preliminary test on a full-length movie gives a recognition rate of 78.0% on the key-places clustering.
doi:10.1109/icip.2007.4379133 dblp:conf/icip/HeritierFG07 fatcat:fo6gscbourdgdlkuseo5lfwz7e