Name
Abstract | ||
|---|---|---|
This paper presents a method to detect video tampering and distinguish it from common video processing operations, such as recompression, noise, and brightness increase, using a practical watermarking scheme for real-time authentication of digital video. In our method, the watermark signals represent the macroblock's and frame's indices, and are embedded into the nonzero quantized discrete cosine transform value of blocks, mostly the last nonzero values, enabling our method to detect spatial, temporal, and spatiotemporal tampering. Our method can be easily configured to adjust transparency, robustness, and capacity of the system according to the specific application at hand. In addition, our method takes advantage of content-based cryptography and increases the security of the system. While our method can be applied to any modern video codec, including the recently released high-efficiency video coding standard, we have implemented and evaluated it using the H.264/AVC codec, and we have shown that compared with the existing similar methods, which also embed extra bits inside video frames, our method causes significantly smaller video distortion, leading to a PSNR degradation of about 0.88 dB and structural similarity index decrease of 0.0090 with only 0.05% increase in bitrate, and with the bit correct rate of 0.71 to 0.88 after H.264/AVC recompression. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TIM.2014.2299371 | Instrumentation and Measurement, IEEE Transactions |
Keywords | Field | DocType |
cryptography,video codecs,video coding,video watermarking,H.264/AVC codec,PSNR degradation,bit correct rate,compressed digital video,content based cryptography,frame indices,macroblock indices,nonzero quantized discrete cosine transform,real time authentication,spatiotemporal tampering,video coding,video distortion,video tampering detection,watermarking,Video authentication,video tampering detection,video watermarking | Computer vision,Video processing,Computer science,Motion compensation,Multiview Video Coding,Video tracking,Artificial intelligence,Video denoising,Video compression picture types,Rate–distortion optimization,Scalable Video Coding | Journal |
Volume | Issue | ISSN |
63 | 5 | 0018-9456 |
Citations | PageRank | References |
16 | 0.79 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Fallahpour | 1 | 203 | 12.12 |
| Shervin Shirmohammadi | 2 | 1066 | 125.81 |
| Mehdi Semsarzadeh | 3 | 53 | 6.23 |
| Jiying Zhao | 4 | 406 | 42.67 |