DocumentCode
3002881
Title
Automatic analysis of movies for content characterization
Author
Doudpota, Sher Muhammad ; Guha, Sumanta
Author_Institution
Sch. of Eng. & Technol., Asian Inst. of Technol., Bangkok, Thailand
fYear
2010
fDate
11-12 June 2010
Firstpage
465
Lastpage
469
Abstract
This paper describes an approach to automatically detect music and song sequences in movies. Particularly, the system is designed to identify songs in movies, as well as their genre, playback singer and on-screen performing actors. We define the so-called song grammar that a musical sequence typically follows by means of a finite state machine. The observation of 20 most popular movies shows that 98% of the songs in these movies are based on grammar defined in this paper, hence, it can be applied for song sequences detection.
Keywords
data analysis; entertainment; finite state machines; music; automatic movies analysis; content characterization; finite state machine; music sequences; song grammar; song sequences; Acoustic noise; Automata; Information analysis; Layout; Motion pictures; Multiple signal classification; Speech; Thyristors; Action; content characterization; dialogue; finite state machine; movie; song;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking and Information Technology (ICNIT), 2010 International Conference on
Conference_Location
Manila
Print_ISBN
978-1-4244-7579-7
Electronic_ISBN
978-1-4244-7578-0
Type
conf
DOI
10.1109/ICNIT.2010.5508472
Filename
5508472
Link To Document