Content-based video coding for remote monitoring of neurosurgery.
Transmitting high-quality neurophysiology video via the Internet is a challenging problem in telemedicine. We propose a novel content-selective video data processing and compression method based on the Discrete Wavelet Transform (DWT). Our algorithm is adaptive to intraoperative monitoring video data and has a great scalability on real-time network bandwidth allocation. When compared with the general-purpose video compression methods, our method offers higher quality within the critical field of neurosurgery.
Xu
Jian
J
Laboratory for Computational Neuroscience Department of Electrical Engineering University of Pittsburgh, Pittsburgh, PA 15261, USA.
Ilgin
Hakki
H
Liu
Qiang
Q
Kassam
Amin
A
Sclabassi
Robert J
RJ
Chaparro
Luis F
LF
Sun
Mingui
M