Utilizing Motion Direction of Video Capturing Satellites for Complexity Reduction in Video Compressor Block-Matching Techniques

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Abstract This paper aims to define how to combine satellite motion direction in Video Compressor Block-Matching algorithms. In this study, three objectives were identified: unveiling the existence of the problem by evidence-gathering, proposing a preliminary satellite design for video-capturing missions, and using the motion pattern of a satellite. To satisfy the first research objective, videos of Earth and other celestial bodies were selected, and the validity of this claim was evaluated. The alignment of the direction of satellite motion with the motion vectors can be clearly recognized. In all cases, except for one case, the motion vectors of the selected videos were shown to be more than 80%. Investigations determined that the review of the divisions of the Regions and appropriate selection of the boundaries of the Regions can produce more acceptable results for the video whose dominated motion vectors are divided into two different Regions. To satisfy the second objective, which is defined as creating the necessary changes in the design of satellites that have the mission of capturing videos of the celestial bodies, a conceptual design was presented in which the path of receiving the motion directions from the satellite platform to the payload was specified. Here, two modes were proposed: Normal and Proposed. In future rounds, this information can be used to reduce the amount of motion estimation calculations and complexity.
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Utilizing Motion Direction of Video Capturing Satellites for Complexity Reduction in Video Compressor Block-Matching Techniques | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Utilizing Motion Direction of Video Capturing Satellites for Complexity Reduction in Video Compressor Block-Matching Techniques Mohammadreza Bayat, Liu Rongke, Haleh Zarrini This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4315698/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper aims to define how to combine satellite motion direction in Video Compressor Block-Matching algorithms. In this study, three objectives were identified: unveiling the existence of the problem by evidence-gathering, proposing a preliminary satellite design for video-capturing missions, and using the motion pattern of a satellite. To satisfy the first research objective, videos of Earth and other celestial bodies were selected, and the validity of this claim was evaluated. The alignment of the direction of satellite motion with the motion vectors can be clearly recognized. In all cases, except for one case, the motion vectors of the selected videos were shown to be more than 80%. Investigations determined that the review of the divisions of the Regions and appropriate selection of the boundaries of the Regions can produce more acceptable results for the video whose dominated motion vectors are divided into two different Regions. To satisfy the second objective, which is defined as creating the necessary changes in the design of satellites that have the mission of capturing videos of the celestial bodies, a conceptual design was presented in which the path of receiving the motion directions from the satellite platform to the payload was specified. Here, two modes were proposed: Normal and Proposed. In future rounds, this information can be used to reduce the amount of motion estimation calculations and complexity. Physical sciences/Engineering/Aerospace engineering Physical sciences/Engineering/Electrical and electronic engineering Satellites Mission Video Payload Celestial bodies Pixel Based Search Algorithm Block Matching Video Coding Motion Vector Motion Estimation Motion Detection Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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