Title :
Visual feature-based violent video detection
Author :
Xin Ji ; Ou Wu ; Chenlong Wang ; Jinfeng Yang
Author_Institution :
Coll. of Aviation Autom., Civil Aviation Univ. of China, Tianjin, China
Abstract :
In this paper, a novel violent video detection scheme is presented based on visual views. The violent segment is detected by using motion angle, motion intensity, shot & explosion and blood analysis. In addition, in order to improve the compute efficiency and time savings Hidden Information SVM is used. Experimental result shows that the proposed method is effective in violent video detection.
Keywords :
image motion analysis; object detection; video signal processing; blood analysis; explosion analysis; hidden information SVM; motion angle; motion intensity; shot analysis; violent segment; visual feature-based violent video detection scheme; Blood; Explosions; Feature extraction; Image color analysis; Motion pictures; Support vector machines; Visualization; Blood; Motion angle; Motion intensity; SVM; Shot & explosion; Violence;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175809
