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Active database interface for video search

Author(s)
Collins, Zachary(Zachary L.)
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Michael Stonebraker.
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MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Surveillance video is abundant in urban areas and can often be vital to police when conducting investigations. Currently, the only means investigators have of finding a suspect in video is to watch it from beginning to end. This can be tedious and waste numerous man hours that could be expended elsewhere. Survq is a system that aids police detectives by automatically identifying key features of video using novel machine learning algorithms. These features are then used to filter video to those that match a suspect description. In this paper, we present the interface used for investigation and how it was designed with this use case and underlying system in mind.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
 
Cataloged from the official PDF of thesis.
 
Includes bibliographical references (pages 45-46).
 
Date issued
2020
URI
https://hdl.handle.net/1721.1/127391
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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