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ECS CSEL EL Bro roker erage age Event nt 2016 16 ECSE CSEL Joint Undertak aking ng Cooperative Vision in Imaging and Sensing Networks Klaas Jan Damstra, klaasjan.damstra@grassvalley.com Robert Hofsink, robert.hofsink@philips.com


  1. ECS CSEL EL Bro roker erage age Event nt 2016 16 ECSE CSEL Joint Undertak aking ng Cooperative Vision in Imaging and Sensing Networks Klaas Jan Damstra, klaasjan.damstra@grassvalley.com Robert Hofsink, robert.hofsink@philips.com

  2. Project Rationale Broadcasting Security Healthcare ECSEL SEL Brok oker erage ge Event nt 2016 2

  3. Project Rationale Broadcasting Security Healthcare ECSEL SEL Brok oker erage ge Event nt 2016 3

  4. Project Rationale • High end imaging applications have moved from single image capture devices to the joint use of multiple cameras, detectors and sensors – Integration complexity – End user is presented/confronted with large variety of images/data… – … which makes decision making very difficult and non- intuitive • The overall goal of the project is to create a platform for fully connected imaging systems – Easy interaction of multi-camera and multi-modal imaging systems… – … with each other and with their environment – Enrich content → Support human decision making – Autonomous and application driven image acquisition ECSEL SEL Brok oker erage ge Event nt 2016 4

  5. Project Evolution Cooperative Vision in Autonomous Imaging & Sensing Imaging Networks Networks ECSEL, Intelligent Image Acquisition ENIAC, 2012-2015 Image Sensors CATRENE, 2009-2012 The project builds upon the results of the ECSEL SEL Brok oker erage ge Event nt 2016 HiDRaLoN and PANORAMA projects 5

  6. Main R&D activities • Data analytics – Video Content Analysis, Deep Learning, Data Reduction • Cooperative Vision – Data Fusion on System Level → Control the Local Video Processing • Smart Camera Processing Platforms – Embedded intelligence in camera – Real-time data exchange via IP-networks • System level architecture – Enabling cooperative computer vision – Mapping on camera hardware and system level processing hardware • Secure interfaces and standardization of meta data exchange ECSEL SEL Brok oker erage ge Event nt 2016 6

  7. Relevance & Project impact • Relevance (MASP) – Smart Society – Smart Health – Smart System Integration • Project Impact – Security & Surveillance: Monitoring a large dynamic environment by a single operator – Broadcasting: Multi Platform Content Delivery challenge – Medical imaging: Help the doctor to decide, guide and confirm the right therapy. ECSEL SEL Brok oker erage ge Event nt 2016 7

  8. Information about the Consortium • Partners in consortium: – NL: Grass Valley, Bosch Security, Philips Healthcare – BE: iMinds, … – FR: CMM, Medisys, … – ES: • Looking for industrial partners • Looking for expertise in: – Cooperative computer vision – Deep learning – Secure interfaces and data exchange ECSEL SEL Brok oker erage ge Event nt 2016 8

  9. Thank you! Klaas Jan Damstra klaasjan.damstra@grassvalley.com Robert Hofsink, robert.hofsink@philips.com ECSEL SEL Brok oker erage ge Event nt 2016 9

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