Paper
15 May 2012 Video image cliff notes
Author Affiliations +
Abstract
Can a compressive sampling expert system help to build a summary of a video in a composited picture? Digital Internet age has provided all with an information degree of freedom; but, comes with it, the societal trash being accumulated beyond analysts to sort through, to summary video automatically as a digital library category. While we wish preserve the spirit of democratic Smartphone-Internet to all, we provide an automation and unbiased tool called the compressive sampling expert system (CSpES) to summarize the video content at user's own discretion.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harold Szu and Charles Hsu "Video image cliff notes", Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 84010H (15 May 2012); https://doi.org/10.1117/12.923593
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KEYWORDS
Video

Nose

Eye

Visualization

Brain

Content addressable memory

Video compression

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