Title :
A new detection algorithm for video tamper
Author :
Chen Xueyan; Shi Dai
Author_Institution :
School of Mechanical Engineering, Inner Mongolia University for the Nationalities, Tongliao 028000, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
In the context of triple play the media business is exploding. Incidents that TV shows and Web videos are tampered maliciously occur occasionally. To solve this problem, a LOF-Co-Forest algorithm is proposed and applied to video tamper detection. Experimental results show that the algorithm can be applied to different types of video tamper detection, having obvious advantages with less labeled samples, effectively reducing the error rate of classifier and possessing good practical application value.
Keywords :
"Training","Classification algorithms","Entertainment industry","Color","Query processing","Biographies"
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
DOI :
10.1109/ICEMI.2015.7494455
