Title :
Automatic classification of movie trailers using data mining techniques: A review
Author :
Shambharkar, Prashant G. ; Doja, M.N.
Author_Institution :
Dept. of Inf. Technol., KIET, Ghaziabad, India
Abstract :
Nowadays huge amount of data is generated through various activities. To manage the data in proper format and the way it is to be maintained. There are so many ways to maintain the data. Classification of data is done so as to identify and put that data in different classes. It is nothing but to group that data in different classes and retrieve as and when it is required with ease. The classification of data is to make the user aware the class of that data on the basis of certain attributes. In this paper we basically focus on the movie trailers using different data mining approaches to classify the videos. The amount of video that a viewer has to choose from is now so large that it is infeasible for a human to go through it all to find movie of interest. Here various methods and techniques are discussed for classification of video and movie trailers.
Keywords :
data mining; entertainment; pattern classification; text analysis; video retrieval; automatic movie trailer classification; data classification; data mining techniques; video classification; Feature extraction; Films; Histograms; Image color analysis; Motion pictures; Support vector machines; Videos; Audio-based approach; Combinational approach; Low level features; Text-based approach; Visual-based approach;
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
DOI :
10.1109/CCAA.2015.7148349