Applying Approximate Computing Principles for Real-Time Rolling Shake Hyper-Stabilization During Video Recording

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Applying Approximate Computing Principles for Real-Time Rolling Shake Hyper-Stabilization During Video Recording Design Automation Conference 2022, San Francisco, (2022) https://www.dac.com/Portals/0/111_file_Attachment_1.pdf 3 Pages Posted: 3 Aug 2022 See all articles by Ritesh SinghRitesh SinghSamsung Research Institute, Noida, IndiaKalgesh SinghSamsung Research Institute, Noida, IndiaAmir AnsariSamsung Research Institute, Noida, India Date Written: July 26, 2022 Abstract The problem of video stabilization is essentially a composition of three problems: Determining the magnitude and direction of movement of the camera; Differentiating intentional camera motion from unwanted camera shake; Estimating the magnitude and direction of the unwanted camera shake and correcting for it. The principles of approximate computing present a beautiful solution to these problems. It enables real-time stabilization, even hyper-stabilization (near absolute stabilization) of camera rolling shake. In this short paper, we discuss the technical details of this concept and how approximate computing philosophy is an integral part of its design and implementation. We also look at its shortcomings and some powerful improvements to mitigate them by again applying the principles of approximate computing. Keywords: approximate computing, video stabilization Suggested Citation: Suggested Citation Singh, Ritesh and Singh, Kalgesh and Ansari, Amir, Applying Approximate Computing Principles for Real-Time Rolling Shake Hyper-Stabilization During Video Recording (July 26, 2022). Design Automation Conference 2022, San Francisco, (2022) https://www.dac.com/Portals/0/111_file_Attachment_1.pdf, Available at SSRN: https://ssrn.com/abstract=4172796 Ritesh Singh (Contact Author) Samsung Research Institute, Noida, India ( email ) NoidaIndia Kalgesh Singh Samsung Research Institute, Noida, India ( email ) NoidaIndia Amir Ansari Samsung Research Institute, Noida, India ( email ) NoidaIndia Download This Paper Open PDF in Browser Do you have a job opening that you would like to promote on SSRN? Place Job Opening Paper statistics Downloads 4 Abstract Views 13 PlumX Metrics Related eJournals Computing Methodology eJournal Follow Computing Methodology eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 170 PAPERS 673 Feedback Feedback to SSRN Feedback (required) Email (required) Submit If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Submit a Paper Section 508 Text Only Pages SSRN Quick Links SSRN Solutions Research Paper Series Conference Papers Partners in Publishing Jobs & Announcements Newsletter Sign Up SSRN Rankings Top Papers Top Authors Top Organizations About SSRN SSRN Objectives Network Directors Presidential Letter Announcements Contact us FAQs Copyright Terms and Conditions Privacy Policy We use cookies to help provide and enhance our service and tailor content. To learn more, visit Cookie Settings. This page was processed by aws-apollo4 in 0.187 seconds