Title :
Detection of blue screen based on edge features
Author :
Yuting Su ; Yu Han ; Chengqian Zhang
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Abstract :
Blue screen compositing is an important editing or tampering operation to change the content of videos. In order to identify the authenticity of the video resources, a new approach to detect blue screen compositing is proposed in this paper. By exploring the change of correlation between the color signals on the edge of each object, we can find and locate the composited objects in the video scene. The experimental results show that our proposed algorithm can successfully detect the blue screen compositing in videos with different output bitrates.
Keywords :
edge detection; feature extraction; image colour analysis; object detection; video signal processing; authentication identification; blue screen video; color signals; edge detection; feature extraction; object detection; video resources; video scene; Conferences; Correlation; Feature extraction; Image color analysis; Image edge detection; Interpolation; Videos; blue screen video; color filter array; composited videos; digital video forensics;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030375