Compressive High Speed Video Acquisition

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dc.contributor.authorSerrano, Anaen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.authorMasia, Belenen_US
dc.contributor.editorMateu Sbert and Jorge Lopez-Morenoen_US
dc.date.accessioned2015-07-01T06:28:53Z
dc.date.available2015-07-01T06:28:53Z
dc.date.issued2015en_US
dc.description.abstractTraditional video capture is limited by the trade-off between spatial and temporal resolution. When capturing videos of high temporal resolution, the spatial resolutions decreases due to bandwidth limitations in the capture system. Achieving both high spatial and temporal resolution is only possible with highly specialized and very expensive hardware; although the bandwidth is higher, the same basic trade-off remains. In this paper, we make use of a single-shot, high-speed video capture system, in order to overcome this limitation. It is based on compressive sensing, and relies on dictionary learning for sparse video representation. This allows capturing a video sequence by coding the temporal information in a single frame, and then reconstructing the full video sequence from this single coded image. We perform an in-depth analysis of the parameters of influence in the system, providing insights for future developments of similar systems.en_US
dc.description.sectionheadersCapturing Reality (Video & Image Processing)en_US
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)en_US
dc.identifier.doi10.2312/ceig.20151199en_US
dc.identifier.pages43-52en_US
dc.identifier.urihttps://doi.org/10.2312/ceig.20151199en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.1 [Computer Graphics]en_US
dc.subjectDigitization and Image Captureen_US
dc.subjectSamplingen_US
dc.titleCompressive High Speed Video Acquisitionen_US
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