A Content-Based Video Coding Method for Remote Monitoring of Neurosurgery

Transmitting high-quality neurophysiology video via the Internet is a challenging problem in telemedicine. We propose a novel video data processing and compression method based on the discrete wavelet transform (DWT). The DWT is utilized to decompose video frames into subframes, different bandwidth budgets are assigned to important and less important regions in each subframe, and several video encoders are employed in parallel to accelerate computation. When compared with the general-purpose video compression methods, our method allows scalability on real-time network bandwidth allocation, and offers higher video quality within the critical field of neurosurgery