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Video transmission plays a critical role in robotic telesurgery because of the required high bandwidth and quality requirement. We propose an adaptive video preprocessing technique to accelerate the transmission of telesurgical video. Using this technique, the bandwidth can be reallocated adaptively from non-essential surrounding regions to the region of interest when preprocessed image sequences...
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...
Transmitting high-quality video via the Internet is a challenging problem in distributed diagnosis system. We propose a content-based video data preprocessing scheme, which is adaptive to the video data acquired during intraoperative monitoring and can cascade with essentially any video codec. IOM video is first decomposed into temporal wavelet subband frames and motion compensation is incorporated...
Automatic detection of region of interest (ROIs) in a complex image or video, such as an angiogram or endoscopic neurosurgery video, is a critical task in many medical image and video processing applications. In this paper, we present a new method that addresses several challenges in automatic detection of ROI of neurosurgical video for ROI coding which is used for neurophysiological intraoperative...
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