Detection of blue screen based on edge features

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.

[1]  James F. Blinn,et al.  Blue screen matting , 1996, SIGGRAPH.

[2]  Hany Farid,et al.  Exposing Digital Forgeries in Complex Lighting Environments , 2007, IEEE Transactions on Information Forensics and Security.

[3]  Yao Zhao,et al.  Detection of image sharpening based on histogram aberration and ringing artifacts , 2009, 2009 IEEE International Conference on Multimedia and Expo.

[4]  Nasir D. Memon,et al.  Source camera identification based on CFA interpolation , 2005, IEEE International Conference on Image Processing 2005.

[5]  Sevinc Bayram,et al.  IMPROVEMENTS ON SOURCE CAMERA-MODEL IDENTIFICATION BASED ON CFA INTERPOLATION , 2005 .

[6]  Daniel P. Huttenlocher,et al.  Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.

[7]  Weihong Wang,et al.  Exposing digital forgeries in video by detecting duplication , 2007, MM&Sec.

[8]  Jacob Rosenberg.  Adobe Premiere Pro 2.0 Studio Techniques , 2006 .

[9]  Weihong Wang,et al.  Exposing digital forgeries in video by detecting double quantization , 2009, MM&Sec '09.

[10]  Chia-Wen Lin,et al.  Video forgery detection using correlation of noise residue , 2008, 2008 IEEE 10th Workshop on Multimedia Signal Processing.

[11]  Rongrong Ni,et al.  Image composition detection using object-based color consistency , 2008, 2008 9th International Conference on Signal Processing.