Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 74, Issue 24, Pages 11163-11186Publisher
SPRINGER
DOI: 10.1007/s11042-014-2223-8
Keywords
Steganography; Steganalysis; Motion vector; Embedding distortion; Prediction error
Categories
Funding
- Natural Science Foundation of China [61170234, 60803155]
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDA06030601]
Ask authors/readers for more resources
This paper presents an effective methodology for motion vector-based video steganography. The main principle is to design a suitable distortion function expressing the embedding impact on motion vectors by exploiting the spatial-temporal correlation based on the framework of minimal-distortion steganography. Two factors are considered in the proposed distortion function, which are the statistical distribution change (SDC) of motion vectors in spatial-temporal domain and the prediction error change (PEC) caused by modifying the motion vectors. The practical embedding algorithm is implemented using syndrome-trellis codes (STCs). Experimental results show that the proposed method can enhance the security performance significantly compared with other existing motion vector-based video steganographic approaches, while obtaining the higher video coding quality as well.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available