Video Analytics in the Big & Fast Streaming Data Era
Victor Fang (Pivotal), Yu Cao (EMC)
11:45am Wednesday, 10/15/2014
http://strataconf.com/stratany2014/public/schedule/detail/37833
Video Analytics play an important role in public security, entertainment, healthcare, etc. A typical enterprise collects TB’s HD surveillance video from the camera network per day. For example, in 2013, the UK government deployed 5 Million CCTV cameras, about one camera for every 12 people.
With fast video data analytics, potential terrorists can be identified, tracked, and correlated with other data sources in real time and public safety as well as privacy, can be enabled as well.
Video data is one of the most challenging data-sets to tackle: Huge volume, Highly unstructured, Fast ingestion, etc. The traditional VCA (Video Content Analysis) market awaits a scalable solution in the Big & Fast Data era.
A Video Analytics Data Lake (VADL) platform is the latest salvo in the constant battle to process and understand huge volumes of video data.
The VADL enables advanced Data Science on video data including Real time analytics with In-Memory Databases, distributed queuing; Micro Batch and Mega batch with new Hadoop technologies.
