The document discusses the rising significance of persistent video data in retail and other domains, citing insights from experts like Mary Meeker. It raises questions about consumer behavior and the potential for video data to provide insights into interactions in stores. Additionally, it addresses challenges and technological advancements related to video data processing and analysis.

3. Is Video Big Data?
Steve Russell, Founder and CEO, Prism Skylabs | March 20, 2014

4. “Persistent video is getting
tremendous traction ...
Dropcam is always on, with
more video uploaded per
minute than YouTube.”
- Mary Meeker, 2013 Internet Trends

5. 100 hrs
video per minute uploaded
30,000 hrs
video per minute uploaded
2,000,000 hrs
video per minute uploaded

6. How many people entered the store?

7. How do people move through the store?

8. What products do people pick up?

9. What is your key demographic wearing?

10. Are the sweaters folded correctly?

11. Barriers to unlocking video
Access
Computation
Privacy
Actionability
More broadband
and wireless
Infinite computation,
processors, cloud
New technology,
computational
photography
Mobile apps and data
visualization

24. Application
Interact and transform
Data
Aggregate and model
Analysis
Learn and understand
Algorithm
Extract and process
Video Big
Data Cycle

25. Sensors Are Everywhere

26. Is Video Big Data?