AVRawRA – application for video raw record acquisition for neuroimaging and videoregistration research

Application for Video Raw Record Acquisition – AVRawRA [ɔːvˈrɔːrə], is a software designed for acquisition and recording video from the cameras into raw binary and compressed video formats. AVRawRA allows using a wide range of camera devices in various neuroimaging applications. That provides the be...

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Veröffentlicht in:Zurnal vyss̆ej nervnoj dejatelnosti imeni I P Pavlova 2024-10, Vol.74 (3), p.369-382
Hauptverfasser: Suchkov, D. S., Shumkova, V. V., Sitdikova, V. R., Silaeva, V. M., Logashkin, A. E., Mamleev, A. R., Popova, Y. V., Sharipzyanova, L. S., Minlebaev, M. G.
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Sprache:eng
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Zusammenfassung:Application for Video Raw Record Acquisition – AVRawRA [ɔːvˈrɔːrə], is a software designed for acquisition and recording video from the cameras into raw binary and compressed video formats. AVRawRA allows using a wide range of camera devices in various neuroimaging applications. That provides the benefit of usage of expensive video registration equipment for several tasks with single software. The concept of presented software allows adding any camera device without rebuilding of the main code pipeline. Presented software has a user-friendly interface with interactive elements for regulating parameters of acquisition and recording in real time, without stopping video stream. Simultaneous real-time visualization, analysis and recording can be performed without loss of the efficiency and missed frames. AVRawRA supports recordings from camera devices with both external and internal triggers. The size of the saved video file is not restricted by the recording time and is limited only by the space on the storage. Our software is perfectly suited both for the neuroimaging applications and experiments with supplementary videoregistration. To summarize, AVRawRA represents a universal platform for usage of various videoregistration devices, performing real-time analysis and high-speed recordings in raw and compressed video formats.
ISSN:0044-4677
DOI:10.31857/S0044467724030094