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Xu, Jian (2010) VIDEO PREPROCESSING BASED ON HUMAN PERCEPTION FOR TELESURGERY. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Video transmission plays a critical role in robotic telesurgery because of the high bandwidth and high quality requirement. The goal of this dissertation is to find a preprocessing method based on human visual perception for telesurgical video, so that when preprocessed image sequences are passed to the video encoder, the bandwidth can be reallocated from non-essential surrounding regions to the region of interest, ensuring excellent image quality of critical regions (e.g. surgical region). It can also be considered as a quality control scheme that will gracefully degrade the video quality in the presence of network congestion. The proposed preprocessing method can be separated into two major parts. First, we propose a time-varying attention map whose value is highest at the gazing point and falls off progressively towards the periphery. Second, we propose adaptive spatial filtering and the parameters of which are adjusted according to the attention map. By adding visual adaptation to the spatial filtering, telesurgical video data can be compressed efficiently because of the high degree of visual redundancy removal by our algorithm. Our experimental results have shown that with the proposed preprocessing method, over half of the bandwidth can be reduced while there is no significant visual effect for the observer. We have also developed an optimal parameter selecting algorithm, so that when the network bandwidth is limited, the overall visual distortion after preprocessing is minimized.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairChaparro, Luis Flfch@pitt.eduLFCH
Committee CoChairSun, Minguidrsun@pitt.eduDRSUN
Committee MemberCheng, Allen Cacc33@pitt.eduACC33
Committee MemberLi, Ching-Chungccl@pitt.eduCCL
Committee MemberSclabassi, Robert
Committee Member Mao, Zhi-Hongzhm4@pitt.eduZHM4
Date: 26 January 2010
Date Type: Completion
Defense Date: 18 August 2009
Approval Date: 26 January 2010
Submission Date: 31 August 2009
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Bilateral Filtering; Video Preprocessing; Visual Perception
Other ID:, etd-08312009-222018
Date Deposited: 10 Nov 2011 20:01
Last Modified: 15 Nov 2016 13:50


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