This document discusses scaling up video search capabilities as video data increases dramatically. It notes that nearly three-fourths of mobile data traffic will be video by 2019. It also lists several applications that use video search like media monitoring, medical, forensics, surveillance, research. The document then discusses the challenges of feature extraction on large amounts of video data, noting it could take 22 years to process 150,000 hours of video on a single machine plus petabytes of storage. It proposes the need for scalable infrastructure to enable querying of big video data using high performance computing and video analysis.

1. Scaling up video search
Roeland Ordelman

2. Nearly three-fourths of the world’s
mobile data traffic will be video by
2019
(Cisco Visual Networking Index: Global Mobile
Data Traffic Forecast Update, 2014–2019)

3. • Media (Beeld en Geluid, NPO, BBC, etc.)
• Media Monitoring (Lexis Nexis, Nielsen, etc.)
• Medisch (surgery logs)
• Forensisch onderzoek
• Surveillance
• Onderzoek (biodiversiteit, astronomie)
• Traffic & Transport

4. 2010

5. 2011-2015

6. 06/05/13
Baard
Visueelzoeken

8. 06/05/13

9. 06/05/13

12. 5000 hrs
1998 2002 2008
20142010 2015-2020
DATA
BIG DATA?
not representative
representative
500 hrs
50 hrs

13. REKENKRACHT
VISUELE ANALYSE IS INTENSIEF
Feature extractie (SIFT) op 150.000 uur video:
22 jaar (single machine) + petabytes voor opslag

14. AD-HOC ZOEKVRAGEN
‘ON-THE-FLY’ MODEL TRAINING

15. On-the-fly process

16. “SCALABLE INFRASTRUCTURE FOR
QUERYING BIG VIDEO DATA”
High Performance Computing
& Video Analyze

17. “SCALABLE INFRASTRUCTURE FOR
QUERYING BIG VIDEO DATA”
High Performance Computing
& Video Analyze