Visual search and retrieval using semantic information
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United States of America Patent
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May 28, 2019
Grant Date -
Nov 23, 2017
app pub date -
May 17, 2016
filing date -
May 17, 2016
priority date (Note) -
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Abstract
An apparatus for visual search and retrieval using sematic information is described herein. The apparatus includes a controller, a scoring mechanism, an extractor, and a comparator. The controller is to segment an incoming video stream into a plurality of activity segments, wherein each frame is associated with an activity. The scoring mechanism is to calculate a score for each segment, wherein the score is based, at least partially, on a classification probability of each frame. The extractor is to extract deep features from a highest ranked segment, and the comparator is to determine the top-K neighbors based on the deep features.
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