Project Details
Abstract
Recently, video surveillance systems have become a part of our daily lives. For example:
closed-circuit cameras in shopping malls have been widely used for crime detection, and
employed to assess the charges for toll stations. However, the ubiquitous cameras, in
combination with wireless transmission, and a strong recognition algorithm, are easier to
monitor criminal acts, but on the other hand it also seriously damage the individual's privacy.
Hence, how to use the techniques of data hiding in video is a trend for modern video
surveillance systems to preserve individual's privacy. This kind of video surveillance system
is named Privacy Protected Video Surveillance System (PPVSS). To develop a good
PPVSS, one must consider whether it can be restored as cover video, and if the hidden video
data (embedded video) has good visual quality, which cannot easily be detected. And the
embedded video shall have high data hiding capacity and other characteristics. Basically, a
bunch of video sequences is composed of many images (frames), and these images are
highly correlated in spatial and temporal domain. So, in this project, we plan to use the
property of the original video sequence to develop various data hiding algorithms for
PPVSS.
In summary, in the first year, this project will derive the difference image between the
consequent frames, and apply a Side-Match VQ (SMVQ) method to produce relative
codebook after the pixels for each encoded (encoding pixel). And, the compression, coding
and data hiding methods are then developed. It is expected that each pixel in a frame can
hide about 3 ~ 4 bits and the hidden data after removing the original video can be completely
restored. In the second year, for the differences image obtained from the consequent frames,
we plan to use the difference expansion and the histogram shift techniques to encode and
hide information, so the embedded video is very similar to the original video in the visual
quality. It is expected that each pixel of this method can hide about 1 ~ 2 bits, and the
encoding time is significant reduced. This approach can be used for covert communication.
At the last years, we will use the relationship of I, P, and B frames existed in MPEG-2 video,
to establish the difference images for data hiding. In addition to using difference expansion
and histogram shift techniques, the codebook-based coding is added to increase the amount
of hidden data. Performance comparison with the above two schemes developed in previous
will be investigated. Upon completion of this project, It is expected that the proposed
algorithms will promote the development of PPVSS.
Project IDs
Project ID:PB10101-3621
External Project ID:NSC100-2221-E182-047-MY3
External Project ID:NSC100-2221-E182-047-MY3
Status | Finished |
---|---|
Effective start/end date | 01/08/12 → 31/07/13 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.