Browsing the structure of multimedia stories
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Modern Information Retrieval
Extracting information about emotions in films
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A motion-based scene tree for browsing and retrieval of compressed videos
Information Systems
EmoPlayer: A media player for video clips with affective annotations
Interacting with Computers
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Exploiting Script-Subtitles Alignment to Scene Boundary Dectection in Movie
ISM '10 Proceedings of the 2010 IEEE International Symposium on Multimedia
Automatic emotion annotation of movie dialogue using WordNet
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Social network analysis in a movie using character-net
Multimedia Tools and Applications
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A variety of research is in progress to detect wanted scenes from videos. A method of detecting scenes wanted by a user through scene rearrangement based on calculated visual similarity is limited in that such a method does not reflect elements along the storyline through which a user remembers a movie. A movie's story is built up by characters, and such build-up is closely related with emotions of characters in a film. A movie browsing system based on storyline is executable by applying characters and those characters' emotions. Thus, methods of extracting key characters in each scene and of clustering scenes through extraction of emotion vectors from dialogues in each scene are hereby suggested. This paper also proposes to develop a movie browsing method and a system based on emotions of characters.