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Make Data Work
Oct 15–17, 2014 • New York, NY

Video Analytics in the Big & Fast Streaming Data Era

Victor Fang (Pivotal), Yu Cao (EMC)
11:45am–12:30pm Wednesday, 10/15/2014
Industrial Internet
Location: 1D03/1D04
Average rating: *****
(5.00, 1 rating)

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.

Photo of Victor Fang

Victor Fang


Dr. Chunsheng Victor Fang is a Senior Data Scientist at Pivotal. His Big Data expertise covers verticals e.g. large scale machine learning, video analytics, social network analysis, FDA approved medical imaging algorithms,etc. Prior to Pivotal / EMC, he has gained experience in real world machine learning and computer vision algorithm development and software architecture design, with a track of successful records in academia, leading eCommerce company, national laboratory, healthcare, etc. He holds a Ph.D of Computer Science and B.E of Electrical Engineering. What he believes: “Everybody lies” (Dr. Greg House), though data never does.

Photo of Yu Cao

Yu Cao


Yu is an engineering manager at EMC, where he works at a combo role of data scientist, solution architect and technical leader on customer specific Big Data solution innovation for verticals like social intelligence, smart-grid, video surveillance and healthcare, as well as applied research like infrastructure (IaaS, PaaS, SDDC) analytics and software-defined storage intelligence. He also works on collaborative relationships between EMC and the academic community across APJ region. He holds a Ph.D. in computer science from National University of Singapore.