title: Content-based video coding for remote monitoring of neurosurgery.
abstract: 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.
authors.affiliation: Laboratory for Computational Neuroscience Department of Electrical Engineering University of Pittsburgh, Pittsburgh, PA 15261, USA.
authors.forename: Jian
authors.initials: J
authors.lastname: Xu
authors.forename: Hakki
authors.initials: H
authors.lastname: Ilgin
authors.forename: Qiang
authors.initials: Q
authors.lastname: Liu
authors.forename: Amin
authors.initials: A
authors.lastname: Kassam
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Sclabassi
authors.forename: Luis F
authors.initials: LF
authors.lastname: Chaparro
authors.forename: Mingui
authors.initials: M
authors.lastname: Sun