Recompressive sensing, resparsified sampling, and lightspacetimelapse: means, apparatus, and methods for spatiotemporal and spatiotonal timelapse and infinitely long media or multimedia recordings in finite memory

Abstract

A recompressed-sensing recording means, apparatus, device, or system captures one or more recordings, of possibly unknown or unbounded duration, into a finite memory, by resparsifying previously recorded sensor data in order to make room to store new incoming sensor data. In some embodiments this resparsification is recursive, resulting in a fraccular (fractally circular) buffer. In some embodiments a LightSpaceTimeLapse image capture means, apparatus, or system captures the passage or stoppage of time, by way of analyzing a scene or subject matter that is subject to changes in lighting or changes in the subject matter, or both. In some embodiments a sparse or reduced resolution test image is captured periodically, and a LightSpaceTime model is constructed to estimate changes in LightSpace or SpaceTime or both. Successive frames feed into a LightSpaceTime comparator which triggers full resolution capture into a finite memory at appropriate intervals. As the finite memory capacity approaches full capacity, the image repository is resparsified to make room for more new images. This resparsification is done by a decision process based on LightSpace and SpaceTime analysis. In some embodiments an intermediate LightSpaceTime format is captured and rendered as a background task resulting in an optimization that varies over time, depending on what is considered important in the LightSpaceTime continuum. All exposure and time values are preserved allowing an interpolated reconstruction at constant framerates or constant noveltyrates, as may be desired for artistic or epistemological purposes or for forensically accurate and irrefutable evidence.

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