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Using Semantics to Enhance Bodyworn Camera Video for Law Enforcement
Mike Doane
LecturerInformation SchoolUniversity of Washington
Gravity ZeroDirector, Information Services
ABOUT ME
Effective Solutions for Managing Police Body Camera Video
Takeaway Ideas
o Law enforcement needs a better way to manage body camera video
o Using semantics to help analyze video can reduce effort and improve usage
o Solution requires integrating multiple types of systems and capabilities
10%
What is a Body Worn Video Camera?
10%
How Effective are Body Video Cameras?
What’s the Problem?
What’s the Problem?
As more police agencies equip officers with body cameras in response to public pressure, authorities are discovering they create problems of their own: how to analyze, process and store the mountains of video each camera generates.
What’s the Problem?
Right now, there are too many body camera videos being produced for law enforcement agencies to effectively analyze
What’s the Problem?
This problem is being compounded daily by more cameras producing more videos that are simply being stored to a cloud system
What’s the Problem?
The cameras create an enormous amount of data. Who gets access to it? How does it get stored? What appeared to be a no-brainer in terms of bringing accountability to the force has raised a lot of ancillary questions.
How Many Police Agencies are There in the US?
765,000
officers
18,000
agencies +5%
Who’s Got the Cameras?
4,500agencies=
have
13,500
agencies= want
Only 25% currently
have cameras
How Much Storage is Needed?
110officers
8,000 – 10,000 videos /month
US$2.6M
yearEvidentiary vs. Non-Evidentiary
Example using one police department
Estimated cost of storage for the first year
Our Areas of Research
Video manageme
nt
Semantic Extraction
Standardized
vocabularies
How can agencies determine if there is relatively important evidence on a video?
How should video be created and stored?
Can we create a unified ontology for all levels of law enforcement?
What’s the Solution?
What’s the Solution?
Upload and manage videos
Analyze text for semantic meaning
Automatically extract text and metadata from videos
Query to discover key ideas and specific words within videos
?
What Does Each Provide?
Provides the online video storage and processing, plus advanced video management
What Does Each Provide?
Provides the video to text extraction service plus keyword tagging capability
What Does Each Provide?
Provides the semantic analysis capability plus the ontology management
What Does Each Provide?
Provides the services and integration capability
Challenges Ahead
Scalability
REGULATION Privacy50 states have different regulations regarding video usage
Most police agencies are small to midsize and have limited budgets
Just because video can be used, who gets to see it?
Our Next Steps
Proof of Concept
Scaled Testing
Overcome Doubt
Need to validate how large the solution can be
Working with a few agencies now for PoC
Police are naturally wary of being recorded
appendix
Slide
3
Source
https://www.bostonglobe.com/metro/2015/08/05/boston-city-council-examine-bodycam-proposal-hearing/1Lk3a6GTQ1qkmkrPK1LrgO/story.html
4 http://gizmodo.com/seattle-police-put-redacted-body-cam-footage-on-youtube-16891392045 http://www.visualnews.com/2015/08/11/we-look-at-how-police-body-cameras-work-and-how-
effective-they-are/6 http://www.visualnews.com/2015/08/11/we-look-at-how-police-body-cameras-work-and-how-
effective-they-are/
7 http://blackathlete.net/2014/08/state-america-suburbs-st-louis/
8 Zusha Elinson and Dan Frosch, Wall Street Journal, April 9, 2015
9 Laurie Capitelli, Berkeley (CA) City Council member. Wall Street Journal, April 9, 2015
11 http://www.policeone.com/police-products/body-cameras/articles/8243271-For-police-body-cameras-big-costs-loom-in-storage/
12 https://en.wikipedia.org/wiki/Law_enforcement_in_the_United_States#Number_of_police
appendix
Slide
13
Source
http://www.nij.gov/topics/law-enforcement/technology/pages/body-worn-cameras.aspx
14 http://news.yahoo.com/police-body-cameras-big-costs-loom-storing-footage-174207101.html
17 https://www.oracle.com/content-storage-management/feature.html
18 http://www.ramp.com/feature/metadata-transcription-tagging/
19 https://www.poolparty.biz/