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Using Map/Reduce to Speed Analysis of Video Surveillance

A session at Strata 2012

Thursday 1st March, 2012

1:30pm to 2:10pm (PST)

In video surveillance, hundreds of hours of video recordings are culled from multiple cameras. Within this video are hours of recordings that do not change from one minute to the next, one hours to the next and in some cases, one day to the next. Identifying information that is interesting and that can be shared, analyzed and viewed by a larger community from this video is a time-consuming task that often requires human intervention assisted by digital processing tools.

Using Map/Reduce we can harness parallel processing and clusters of graphical processors to identify and tag useful periods of time for faster analysis. The result is an aggregate video file that contains metadata tags that link back to the start of those scenes in the original file. In essence, creating an index into hundreds-of-thousands of hours of recording that can be reviewed, shared and analyzed by a much larger group of individuals.

This session will review examples where this is being done in the real world and discuss the process for developing a Hadoop process that can break a video down into scenes that are analyzed by maps to determine interest and then reduced into a single index file that contains 30 seconds of recording around that scene. Moreover, the file will contain the necessary metadata to jump back into the original at the start point and allow the viewer to view the scene in context of the entire recording.

About the speaker

This person is speaking at this event.
JP Morgenthal

EMC Consulting

Next session in Ballroom CD

2:20pm Beyond Map/Reduce: Getting Creative with Parallel Processing by Ed Kohlwey

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Strata 2012

United States United States, Santa Clara

28th February to 1st March 2012

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When

Time 1:30pm2:10pm PST

Date Thu 1st March 2012

Where

Ballroom CD, Santa Clara Convention Center

Short URL

lanyrd.com/smmyy

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