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Published on: June 21, 2019
Content-based video coding for remote monitoring of neurosurgery
Jian Xu1, Hakki Ilgin, Qiang Liu
1Laboratory for Computational Neuroscience Department of Electrical Engineering University of Pittsburgh, Pittsburgh, PA 15261, USA.
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.
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