Name
Title | ||
|---|---|---|
Robust information hiding in low-resolution videos with quantization index modulation in DCT-CS domain. |
Abstract | ||
|---|---|---|
Video information hiding and transmission over noisy channels leads to errors on video and degradation of the visual quality notably. In this paper, a video signal fusion scheme is proposed to combine sensed host signal and the hidden signal with quantization index modulation (QIM) technology in the compressive sensing (CS) and discrete cosine transform (DCT) domain. With quantization based signal fusion, a realistic solution is provided to the receiver, which can improve the reconstruction video quality without requiring significant extra channel resource. The extensive experiments have shown that the proposed scheme can effectively achieve the better trade-off between robustness and statistical invisibility for video information hiding communication. This will be extremely important for low-resolution video analytics and protection in big data era. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11042-017-5223-7 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Video information hiding, Statistical transparency, Compressive sensing, Quantization index modulation, Image fusion | Computer vision,Image fusion,Pattern recognition,Computer science,Discrete cosine transform,Information hiding,Robustness (computer science),Video tracking,Artificial intelligence,Quantization (signal processing),Video quality,Video denoising | Journal |
Volume | Issue | ISSN |
77 | 14 | 1380-7501 |
Citations | PageRank | References |
2 | 0.38 | 28 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huimin Zhao | 1 | 206 | 23.43 |
| Qingyun Dai | 2 | 148 | 23.91 |
| Jinchang Ren | 3 | 1144 | 88.54 |
| Wenguo Wei | 4 | 2 | 0.38 |
| Yinyin Xiao | 5 | 4 | 1.79 |
| Chunying Li | 6 | 4 | 2.49 |