DocumentCode
3448134
Title
The application of shot classification based on C4.5 decision tree in video retrieval
Author
Yao Zhen ; Qu Yong ; Hu Dan ; Liu Jing
Author_Institution
Electron. Eng. Coll., Chongqing Three Gorges Univ., Chongqing, China
Volume
1
fYear
2011
fDate
20-22 Aug. 2011
Firstpage
426
Lastpage
429
Abstract
In this paper, we classify shots in the level of type in connection with several types of shots. By comparing the differences of low-level features from these types of shots, we extract motion information, color, and pixel differences as features for our experiment. Through the training of C4.5 decision tree, a bridge is built to eliminate the gap from low-level features to high-level semantic, and a good performance of shot classification is achieved.
Keywords
decision trees; image classification; video retrieval; C4.5 decision tree; color differences; motion information extraction; pixel differences; shot classification; video retrieval; Decision trees; Educational institutions; Feature extraction; Games; Multimedia communication; Semantics; Streaming media; C4.5 decision tree; shot classification; video Retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8622-9
Type
conf
DOI
10.1109/ITAIC.2011.6030238
Filename
6030238
Link To Document