Using Semantics to Enhance Police Body Camera Video

In the US today, law enforcement agencies and officers are under increased scrutiny regarding policing behaviors. More and more law enforcement agencies are adapting the use of body worn cameras to assist with recording officer's interactions with the public. Although touted by many as one more step toward transparency of interactions between the police and the public, the result is that terabytes of video information are being recorded every year by hundreds of law enforcement agencies around the US, with very little attention being paid to how to manage this video, except to 'store it in the cloud' with minimal metadata attached. The challenge is that countless hours of body camera video are being uploaded into the cloud solution with very little attention being paid to how the video can be optimized for future use. This session will show how to:

Effectively manage body camera video once it's downloaded
Use technologies to extract text information (captioning) from video
Use a law enforcement ontology to semantically analyze video content
Customize search for semantic relationships

Mike Doane is a full time lecturer at the University of Washington’s Information School. He is also the owner of Term Management, LLC which specializes in taxonomy development for small to mid-size companies. He works as a senior level consultant with 20+ years in information management, with a deep background in information science and content management. In his role as an information management consultant, Mike works with clients to solve develop taxonomies and ontologies for use in managing metadata within intranets, extranets, portals and other enterprise content management systems. He specializes in developing and maintaining taxonomies in SharePoint 2010. At the University of Washington, he teaches graduate courses in knowledge management, information management and taxonomy/ontology development.