DocumentCode :
493473
Title :
Watermarking Based on Feature Points Detected in MPEG-2 Video
Author :
Li, Yao ; Zhu, Guibin ; Bao, Jinfei
Author_Institution :
Lab. of Image Commun., Chongqing Commun. Inst., Chongqing
Volume :
1
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
369
Lastpage :
372
Abstract :
The applications of video on Internet or wireless networks become very popular nowadays. However, these digital contents can be easily modified and copied by end users. Hence copyright protection, copy protection and integrity verification have become important issues in recent years. This paper proposes a novel blind watermarking algorithm based on feature points detected in MPEG-2 video. In this algorithm, Corner is defined as feature point. The position of watermark embedded is decided by the corners which are found by using Harris Detectors. And then combined with MPEG-2, the watermark is embedded by adjusting the 8*8 block DCT´s DC coefficient. The experimental results show that compared with the original video, the watermarked video sequence is changed slightly; the PSNR of watermarked frames loses a little. Especially the proposed algorithm has strong robustness towards frame deleting and MPEG-2 compressing.
Keywords :
data compression; discrete cosine transforms; edge detection; feature extraction; video coding; watermarking; DCT; Harris detector; Internet; MPEG-2 compression; MPEG-2 video watermarking; blind watermarking algorithm; copy protection; copyright protection; feature point detection; integrity verification; wireless network; Computer vision; Copyright protection; Detectors; IP networks; PSNR; Transform coding; Video compression; Video sequences; Watermarking; Wireless networks; DC coefficient; DCT; Harris detector; feature point; video watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.92
Filename :
4958795
Link To Document :
بازگشت