Rolling Shutter Video Stabilization Using Feature Form Accelerated Segment Test

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dc.contributor.author Rabia Batool, 01-244172-031
dc.date.accessioned 2024-06-11T08:23:23Z
dc.date.available 2024-06-11T08:23:23Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/123456789/17427
dc.description Supervised by Dr. Khawaja Qasim Maqbool en_US
dc.description.abstract The thesis presents movement approximation strategies, movement models, highlight recognition methods, vigorous examining accord and for the most part the RAN-SAC procedure. Usage of the element focuses coordinating based adjustment calculation was finished utilizing the MATLAB stage and applied to the video with jitter. The quality improvement in the video sequences after stabilization are demonstrated by associating the mean of become stable and unprocessed unstable video. Results indicate that the stabilization of the video would improve PSNR, mean squared error (MSE), improved video quality in less computational time. en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries MS(EE);T-2706
dc.subject Electrical Engineering en_US
dc.subject Optical Flow en_US
dc.subject Random Sample Consensus en_US
dc.title Rolling Shutter Video Stabilization Using Feature Form Accelerated Segment Test en_US
dc.type Thesis en_US


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