Toward plot de-interlacing in TV series using scenes clustering

Philippe Ercolessi, Christine Senac, Herve Bredin
2012 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)  
Multiple sub-stories usually coexist in every episode of a TV series. We propose several variants of an approach for plot de-interlacing based on scenes clustering -with the ultimate goal of providing the end-user with tools for fast and easy overview of one episode, one season or the whole TV series. Each scene can be described in three different ways (based on color histograms, speaker diarization or automatic speech recognition outputs) and four clustering approaches are investigated, one of
more » ... nvestigated, one of them based on a graphical representation of the video. Experiments are performed on two TV series of different lengths and formats. We show that semantic descriptors (such as speaker diarization) give the best results and underline that our approach provides useful information for plot de-interlacing.
doi:10.1109/cbmi.2012.6269836 dblp:conf/cbmi/ErcolessiSB12 fatcat:bna4zisis5ekhieaf2oekld4pm