Title :
A computable structure model for hollywood film
Author :
Zhao, Zhicheng ; Ge, Xiaojuan
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Automatic parsing of video structure is one of the key techniques for video understanding and retrieval. In this paper, we propose a computable film structure model: the nine-plot model, which parses a film into three hierarchical semantic levels: act, plot and scene. The model has been motivated by “Hollywood mode” and generic narrative structure of the story. In addition, a set of modeling methods for film-making rules based on scene classification and segmentation are proposed. The experimental results on seven full-length Hollywood movies demonstrate the effectiveness of the model.
Keywords :
image classification; image segmentation; video retrieval; video signal processing; Hollywood film; Hollywood mode; act level; computable film structure model; computable structure model; film-making rules; hierarchical semantic level; nine-plot model; plot level; scene classification; scene level; scene segmentation; video retrieval; video structure parsing; video understanding; Classification algorithms; Computational modeling; Films; Motion pictures; Semantics; Timing; Visualization; Film structure; act; model; plot; scene;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5654050