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Key-Places Detection and Clustering in Movies Using Latent Aspects
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
doi:10.1109/icip.2007.4379133
dblp:conf/icip/HeritierFG07
fatcat:fo6gscbourdgdlkuseo5lfwz7e