Title :
A Novel Video Content Authentication Algorithm Combined Semi-fragile Watermarking with Compressive Sensing
Author :
Chen Xiaoling ; Zhao Huimin
Author_Institution :
Guangdong Polytech. Normal Univ., Guangzhou, China
Abstract :
For the shortcomings of current video watermarking algorithms on tamper detection, combined semi-fragile watermarking with Compressive Sensing theory, the paper proposes a novel video content authentication algorithm for MPEG-2. The image features of I-frame are extracted by Compressed Sensing algorithm, and semi-fragile content authentication watermarking are generated, in which watermarking bits are embedded into the low-frequency DCT coefficients of I-frame. Simulation results show that the algorithm has better detection ability and detection accuracy than invertible semi-fragile watermarking algorithm distinguishing MPEG-2 compression from malicious manipulation the algorithm. For video inner frames tampering, accuracy of the algorithm can reach to the sub-block of image.
Keywords :
data compression; video coding; video watermarking; DCT coefficients; MPEG-2; MPEG-2 compression; compressive sensing; detection ability; detection accuracy; image features; semifragile content authentication watermarking; tamper detection; video content authentication algorithm; video watermarking algorithms; Authentication; Discrete cosine transforms; Feature extraction; Transform coding; Vectors; Video sequences; Watermarking; Compressive sensing; Semi-fragile watermark; Tamper detection; Video content authentication;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.413